Articles de revues : « Road monitoring and management »

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Wang, Wei. « Construction Technology and Safety Monitoring Measures of Road and Bridge Engineering ». Journal of Architectural Research and Development 5, n^o 5 (28 septembre 2021) : 32–35. http://dx.doi.org/10.26689/jard.v5i5.2542.

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With the acceleration of urbanization and the continuous improvement of urban infrastructure construction, roads and bridges, as an important infrastructure content in China, directly affect people’s daily travel. Therefore, the construction and management of roads and bridges must be improved to ensure the quality and safety of roads and bridges and effectively prevent safety accidents. Strengthen the management of road and bridge construction through safety monitoring, improve the safety factor of the project and ensure people’s travel safety. This paper mainly analyzes the common diseases and construction technology of road and bridge engineering construction, and puts forward safety monitoring measures.

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Bopoto, Charles, Robert Geddes et Michael Pinard. « Framework for Monitoring of Road Agency Performance in Rural Road Asset Management ». Transportation Research Record : Journal of the Transportation Research Board 2673, n^o 12 (15 septembre 2019) : 843–54. http://dx.doi.org/10.1177/0361198119854088.

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The Research for Community Access Partnership (ReCAP) is providing technical assistance and capacity building initiatives to foster sustainable improvements in asset management performance in selected rural road agencies in Sub-Saharan Africa. Central to the research methodology is the development of a specification to enable road agencies to assess their performance in asset management as a basis for self-improvement. The specification is based on the development of an objectively determinable “road sector sustainability index” which measures the extent to which six building blocks considered essential for achieving effective road asset preservation are satisfied in practice. Periodic measurements of the condition of the project road networks, coupled with the collection of socioeconomic data, are being used to monitor the trend in road asset value, and to assess the effectiveness of, and improvements in, asset management as well as the impact of road condition on the wellbeing of rural communities. This paper outlines methodologies and tools that have been developed and piloted in four Sub-Saharan African countries to assess and monitor performance in rural road asset management and to achieve improvements over time. It summarizes progress achieved in the first 3 years since the project’s inception. The initial findings of the research indicate that severe institutional, funding, and technical shortcomings exist in the participating countries that preclude sustainable road asset preservation. However, following implementation of the methods summarized here, there is now an increased awareness of the importance of adopting a holistic approach to road asset management using simple and sustainable methods.

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Chiteculo, Vasco, Azadeh Abdollahnejad, Dimitrios Panagiotidis et Peter Surový. « Effects, Monitoring and Management of Forest Roads Using Remote Sensing and GIS in Angolan Miombo Woodlands ». Forests 13, n^o 4 (29 mars 2022) : 524. http://dx.doi.org/10.3390/f13040524.

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Angola’s forests are abundant and highly productive with enormous potential to support local needs and exportation. The forests are well distributed across the country, but the existing road network is generally poor and, in some cases, inappropriate. Based on our previous work examining deforestation patterns and the modeling of primary tree attributes of vegetation types, we proposed forest management zones (MZ) for future planning in Huambo province in Angola. Herein, that same framework is applied for the detection of the existing road network in Huambo and the proposal of alternative routes inside the MZ. We used analytic hierarchy process (AHP) and geographic information systems (GIS) to optimize connectivity among the existing forest plantations and their distance to the closest major cities within the province. We developed road suitability maps based on AHP and GIS to ensure safer driving conditions and contribute to the forest planner’s access to the current plantations. According to the suitability map created, 59.51% of the total area is suitable for road development and is counted in classes 4 and 5 in automatic classification. Parameters such as geology, slope, distance from roads to the railway, soil types, elevation, flow accumulation, and aspect were used. We provide a completed assessment of the state of existing roads and evaluate the safety of the observed road sections based on the AHP method. The calculated weights of the factors were all consistent with the model used (consistency ratio was 0.09 < 0.1). Finally, we proposed the best alternative routes to the existing cities, MZ in miombo woodlands, and forest plantations inside the province. Our findings indicated that flow accumulation, soil type, and geology were the most significant factors impacting road construction. Overall, our framework is an important starting point for further research activities towards developing a spatial decision support system (SDSS) for planning road networks in Angola.

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Pan, Fuquan, Yongzheng Yang, Lixia Zhang, Changxi Ma, Jinshun Yang et Xilong Zhang. « Analysis of the Impact of Traffic Violation Monitoring on the Vehicle Speeds of Urban Main Road : Taking China as an Example ». Journal of Advanced Transportation 2020 (20 mars 2020) : 1–11. http://dx.doi.org/10.1155/2020/6304651.

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In recent years, there are more and more applications of traffic violation monitoring in some countries. The present work aims to analyze the vehicle speeds nearby road traffic violation monitoring area on urban main roads and find out the impact of road traffic violation monitoring on the vehicle speeds. A representative urban main road section was selected and the traffic flow was recorded by camera method. The vehicle speeds before, within, and after the road traffic violation monitoring area were obtained by the calculation method. The speed data was classified and processed by SPSS software and mathematical method to establish the vehicle speed probability density models before, within, and after the road traffic violation monitoring area. The results show that the average speed and maximum speed within the traffic violation monitoring area are significantly slower than those before and after the traffic violation monitoring area. 70.1% of the vehicles before the road traffic violation monitoring area were speeding, and 80.2% of the vehicles after the road traffic violation monitoring area were speeding, while within the road traffic violation monitoring area, the speeding vehicles were reduced to 15.9%. When vehicles pass through the road traffic violation monitoring area, the vehicle speeds tend to first decrease and subsequently increase. In its active area, road traffic violation monitoring can effectively regulate driving behaviors and reduce speeding, but this effect is limited to the vicinity of the traffic violation monitoring. The distribution of vehicle speeds can be calculated from vehicle speed probability density models.

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Roberts, Ronald, Gaspare Giancontieri, Laura Inzerillo et Gaetano Di Mino. « Towards Low-Cost Pavement Condition Health Monitoring and Analysis Using Deep Learning ». Applied Sciences 10, n^o 1 (1 janvier 2020) : 319. http://dx.doi.org/10.3390/app10010319.

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Governments are faced with countless challenges to maintain conditions of road networks. This is due to financial and physical resource deficiencies of road authorities. Therefore, low-cost automated systems are sought after to alleviate these issues and deliver adequate road conditions for citizens. There have been several attempts at creating such systems and integrating them within Pavement management systems. This paper utilizes replicable deep learning techniques to carry out hotspot analyses on urban road networks highlighting important pavement distress types and associated severities. Following this, analyses were performed illustrating how the hotspot analysis can be carried out to continuously monitor the structural health of the pavement network. The methodology is applied to a road network in Sicily, Italy where there are numerous roads in need of rehabilitation and repair. Damage detection models were created which accurately highlight the location and a severity assessment. Harmonized distress categories, based on industry standards, are utilized to create practical workflows. This creates a pipeline for future applications of automated pavement distress classification and a platform for an integrated approach towards optimizing urban pavement management systems.

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Bhatt, A., S. Bharadwaj, V. B. Sharma, R. Dubey et S. Biswas. « AN OVERVIEW OF ROAD HEALTH MONITORING SYSTEM FOR RIGID PAVEMENT BY TERRESTRIAL LASER SCANNER ». International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B1-2022 (30 mai 2022) : 173–80. http://dx.doi.org/10.5194/isprs-archives-xliii-b1-2022-173-2022.

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Abstract. Structural health monitoring (SHM) applications for roads should be created in order to save finances, protect public safety, and provide long-lasting road infrastructure. The terrestrial laser scanner (TLS) will be employed in this project for collecting data, used for monitoring purposes. LiDAR camera mounted on moving vehicle generating 3D point cloud is used for monitoring purpose. Poorly maintained roads result in lower productivity, higher fuel consumption, increased mechanical wear, hazardous operating conditions, driver discomfort, and higher rolling resistances. Road management agencies suffer with pavement repair methods and the finances to keep the existing road networks in good working order. The goal of this research work is to create a low-cost smart road health monitoring system that uses camera-based monitoring and smart phone sensors to identify the road section for maintenance. We have discovered that using accelerometers for pothole detection is ideal for this application. The road patches or pot holes for 2 km area of the RGIPT campus using accelerometer is being done. The smart phone will upload the position and any kind of undulated road surface to the cloud when the vehicle passes over it. Use of accelerometer may detect internal damage of the pavements before it appears on the top surface of the road. When other vehicles move towards an irregular road surface, the cloud will issue an undulated road surface reminder to make sure that the vehicle may safely and smoothly drive through the area. The system is simply dependent on a single phone setting and uses raw accelerometer measurements, which can record irregular driving or quick brakes. The data in this system are collected from the mobile phone and sensor for monitoring and forecasting of road surface. So, every pavement defect has different classification and treatment approach, as well as severity levels.

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Wanjira, Kellen, et Dr Christine Ngari. « DETERMINANTS OF SUCCESSFUL PROJECT MANAGEMENT PRACTICES ON PERFORMANCE OF ROADS PROJECTS AT KENYA NATIONAL HIGHWAYS AUTHORITY ». Journal of Entrepreneurship and Project Management 3, n^o 1 (26 octobre 2018) : 1–25. http://dx.doi.org/10.47941/jepm.251.

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Purpose: The study aims at investigating the determinants of successful project management practices on performance of roads projects at Kenya National Highways Authority. This study was limited to four variables, which include project monitoring, management support, Project team, and Project funding.Methodology: The study employed a descriptive research design. The target population included the top project management team of KeNHA, Monitoring Officers of KeNHA, Project Engineers (PEs), financial officers and auditors, Consultants and Contractors in the entire structure of KeNHA totaling to 174. The study employed stratified random sampling technique to acquire a sample size of 87. The study collected both quantitative and qualitative data through the use of a organized survey of questionnaire. Data was presented in the form of frequency distribution tables, graphs and pie charts that facilitates description and explanation of the study findings. Results: The study findings revealed that project monitoring, management support, Project team competency and Project funding influence performance of roads projects at KeNHA. The results of findings indicates that a unit increase in project monitoring, management support Project team competency and Project funding leads to 0.873, 0.581, 0.713 and 0.289 increase in performance of roads projects at KeNHA respectively. The study concluded that Project Funds greatly influence road Project Completion. Recommendations: The study recommends that management should provide the necessary provision to the practical and operating workers in the development of road project operations for real and practical success of objectives. Highly qualified and experienced management support with a relevant experience and technical skills should be hired to implement road projects. This will enable the Kenya government get value for their money, achieve on-time projects completion and save huge costs.

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Chen, Shuaihua, et Xiaoping Wang. « Design of Monitoring System for Urban Low-Lying Water ». Journal of Physics : Conference Series 2029, n^o 1 (1 septembre 2021) : 012128. http://dx.doi.org/10.1088/1742-6596/2029/1/012128.

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Abstract The Internet of things technology is applied to establish a low-lying ponding monitoring system, which includes information acquisition system and information management system. This GPRS, 4G, Java, Internet of things and large database technology are applying to build a data acquisition hardware platform. On this basis, the basic database of road ponding and the monitoring and early warning system of road ponding in low-lying land are established. Thus, the application requirements of road ponding information query, management, monitoring, water level change analysis and water level overrun alarm based on map are realized. At the same time, the control of relevant drainage facilities has been integrated. The modern management means of road low-lying land ponding monitoring has been improved. And the management and control level of municipal road ponding has been comprehensively improved.

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Bhattarai, Subash Kumar. « Study of Inefficiencies in Contract Management Practice in Rural Road ». Journal of Advanced Research in Civil and Environmental Engineering 08, n^o 3&4 (22 septembre 2021) : 1–8. http://dx.doi.org/10.24321/2393.8307.202105.

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The objective of the research is to identify the inefficiencies in contract management practice in the SNRTP sub-projects and also the sources of these inefficiencies will try to find the probable solutions. To study the inefficiencies in contract management practice in SNRTP rural road projects, the checklist was prepared and data regarding the contract management were obtained with the project stakeholders. The data were collected using questionnaires, analysed using SPSS software, MS Excel and presented using the graph, table, and charts.The findings of the study showed that there are significant inefficiencies in contract management practice in the SNRTP project. It has been found that the majority of the respondents i.e. 79 percent of the experts interviewed opined that there are inefficiencies in the contract management practices in the rural road under SNRTP sub-projects, and only 21 percent think that the process is efficient from questionnaire survey. This has been statistically verified through descriptive statistics. The reason behind the inefficiencies in Contract Management Practice is mainly due to a lack of qualifications, knowledge, skills & experience of the contract management team, lack of cooperation & proper communication between project team member, lack of monitoring & evaluation in time, lack of timely meetings, slow decisions making, and improper planning & poor site management during the construction work. To overcome those inefficiencies some suggestions have been recommended as appointing the team member with proper qualifications, knowledge, skills & experience in the contract management. Proper communication & cooperation between team member, frequent inspection, monitoring and evaluation, completion of work within intended completion time, proper record keeping & timely issue management, and timely decision making from all stakeholders as required in construction work during the project implementation phase.

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Zainal Abidin, A. N. S., A. Roslan, R. Shahril, A. S. Jamaludin, M. N. Muhd Razali et K. A. Abu Kassim. « Road Traffic Crash Data Management in ASEAN : 3-5-2 Perspective ». Journal of the Society of Automotive Engineers Malaysia 5, n^o 2 (1 mai 2021) : 252–59. http://dx.doi.org/10.56381/jsaem.v5i2.169.

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Every year approximately 1.3 million people are killed on roads around the world. Without new and effective actions, deaths in low to middle-income countries are forecasted to rise steeply, as the level of motorization is increasing. The availability of road safety data is fundamental to improving road safety outcomes, tracking progress, and achieving the road safety targets set by each country. With consistent and standardize collection and management, these data will provide beneficial and accurate insights for trends monitoring, future and time series prediction, and ultimately a reliable review of currently implemented programs. However, managing the data is a challenging aspect especially when it involves multiple agencies with different focuses and requirements and countless bureaucracy. By continued adoption of the "3-5-2" concept from football strategies, this paper will review the status-quo conditions of road crash data collection and management in the middle-income tier ASEAN countries. These shall be one of the core values for effective road safety management and improvement stipulated under the Decade of Action for Road Safety.

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Kunz, Bethany K., Nicholas S. Green, Janice L. Albers, Mark L. Wildhaber et Edward E. Little. « Use of Real-Time Dust Monitoring and Surface Condition to Evaluate Success of Unpaved Road Treatments ». Transportation Research Record : Journal of the Transportation Research Board 2672, n^o 52 (9 octobre 2018) : 195–204. http://dx.doi.org/10.1177/0361198118799167.

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Fugitive dust from unpaved roads creates human health hazards, degrades road surfaces, and increases the cost of road maintenance. As a result, many different chemical treatments are applied to unpaved roads in an attempt to control dust and stabilize the wearing course. However, investigations of the effectiveness of these treatments have often been poorly planned or executed. The objective of this study was to use a combination of real-time dust monitoring and objective road condition evaluations to assess the success of two chemical treatments for a period of 19 months post-application, to provide quantitative information in support of road management decisions. Dust production from road sections treated with calcium chloride-based durablend-C™ or the synthetic fluid EnviroKleen® was monitored on five dates using a vehicle-mounted particulate matter meter. Both products reduced dust by up to 99% relative to an untreated control section during the monitoring period, and quantitative data from the meter were consistent with qualitative observations of dust conditions. Linear models of dust production indicated that road treatment and humidity explained 69% of the variation in dust over time. Road sections treated with either product developed less rutting and fewer potholes than the untreated control. Overall, the combination of real-time dust monitoring and surface condition evaluation was an effective approach for generating quantitative data on endpoints of interest to road managers.

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Et al., Rashidbek M. Xudoyqulov. « Monitoring of Road Conditions Based on Geographic Information Systems : A Case Study of Yangiyul District of Tashkent Region, Uzbekistan ». Psychology and Education Journal 58, n^o 2 (1 février 2021) : 1500–1504. http://dx.doi.org/10.17762/pae.v58i2.2301.

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Modern requirements for road management require the use of new technologies and methods in solving the problems of construction, reconstruction and maintenance of roads. Currently, road organizations have begun work on the creation of a geographic information system for roads; digital maps with the location and layer of roads are being assembled. Information about roads, is very important data for many social-economic sectors of the Republic of Uzbekistan. In this paper, creating geospatial digital and informative map of roads of Bukhara district of Tashkent region is revealed. The map covers all types and categories of roads. All availability conditions of roads inserted to attribute table of ArcGIS 10.2 and analyzed geospatial operations. On maps, created by not road organizations, information about roads is presented in a standard form, which leads to the lack of modern information on the condition of roads.

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Xu, Guang Yin, Yan Na Zhang et Jian Hua Qu. « The Design of Information Platform Structure Used in Expressway Management Based on SOA Frame ». Advanced Materials Research 403-408 (novembre 2011) : 2997–3003. http://dx.doi.org/10.4028/www.scientific.net/amr.403-408.2997.

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On the basis of the study on the expressway management business flow as well as the SOA architecture concept, this paper designs the overall framework for a systematical expressway management information platform, which includes network of 3 levels, grading processing, comprehensive monitoring, comprehensive information application management, web portal and security system, and then designs the overall technical frame of this platform. Road administration is the core part of highway administration and the concentrated reflection of external highway administrative management. In addition to the approval of highway property, construction, maintenance and management, its main contents also involve the highway maintenance, highway entrance fee management and other road maintenance. It covers a wide range and there is so much information of deferent types to be processed and used. Although domestic and foreign roads and road administration departments have some information management systems in use, some are special highway road administration information systems[1,2], and some are highway comprehensive information management systems[3], the integrated comprehensive highway information management contents are lack of research, and the professional, comprehensive, open road administration information platform has not been established yet. Therefore, the author conducted the design of constructing advanced road administration information platform structure. This platform uses the service oriented architecture (SOA), integrates advanced information network technology, data communications monitoring and transmission technology, electronic control technology, computer processing technique with 3S, PDA and other advanced technologies, so that it is effectively integrated and used in the highway information management. The construction of the platform will realize the effective and scientific management for highways business, ensuring that the highways are unblocked, and maintaining the road property and rights of highways, thus promoting the development of the industrial management information.

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Sun, Xiao Ling, Xu Guang Sun, Shan Shan Li, Fu Ming Chen et Qiu Ge Yang. « The Key Management Scheme For the WMSN-Based Post-Disaster Road Monitoring System ». Advanced Materials Research 756-759 (septembre 2013) : 332–37. http://dx.doi.org/10.4028/www.scientific.net/amr.756-759.332.

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In order to obtain the availability of roads and bridges after earthquake, a real-time monitoring system is build by wireless sensor networks. And a new key management scheme is proposed to protect the safety of the system. The scheme is based on the polynomial and the Chinese Remainder Theorem, divided into three stages which are system initialization, key establishment, node join and revocation. Analysis shows that the new scheme greatly reduces the storage space and the energy consumption of calculation and communication of node. It is suitable for post-disaster road monitoring system.

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Jajac, Nikša, et Ana Bošnjak. « Sustainable Approach to Nonurban Road Network Maintenance Management : Herzegovina-Neretva County, B&H Case Study ». Applied Sciences 13, n^o 4 (19 février 2023) : 2679. http://dx.doi.org/10.3390/app13042679.

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This paper presents a systematic and sustainable approach to nonurban road network maintenance management based on the integration of multicriteria decision-making methods and methods of monitoring and control in the service of planning, implementation and monitoring and control as the basic management processes. This approach is based on the developed maintenance management model for nonurban road network, which consists of a weighting sub-model based on the AHP method, a priority road ranking sub-model based on TOPSIS method and a monitoring and control sub-model based on the combination of TOPSIS and Earned Value Analysis (EVA). The described model with all its supporting sub-models is tested on the case study of the regional road network of Herzegovina-Neretva County. The analysis of the obtained results shows the effectiveness of the presented approach to road maintenance management and the possibility of its practical application.

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Van Zyl, G. D., M. G. Henderson et H. G. Fourie. « Optimizing Low-Volume Road Network Performance Through Improved Management, Design, and Construction ». Transportation Research Record : Journal of the Transportation Research Board 1819, n^o 1 (janvier 2003) : 299–305. http://dx.doi.org/10.3141/1819b-38.

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The Provincial Administration of the Western Cape in South Africa is responsible for 18,900 km of proclaimed roads, of which 10,500 km are unsurfaced. A formal gravel road management system has been in operation since 1989 that assists in prioritizing projects for regraveling and upgrading gravel roads to surfaced standards. Because of fund limitations for upgrading gravel roads to surfaced roads, there is a need to optimize performance of the gravel road network and maximize use of knowledge and latest research results for southern Africa. Staff shortages and loss of in-house expertise made external assistance necessary to improve service to road users. Processes formalized, implemented, and planned for this purpose included ( a) upgrading the gravel road management system to quantify benefits, prioritize activities, and select maintenance and improvement measures; ( b) appointing consulting engineers in each district to help manage borrow pits, materials design, training, construction supervision and quality control, maintenance planning and control, and performance monitoring; ( c) communication about project priorities, construction programs, work methods, construction team performance, and activity costs; and ( d) development of an operational web-enabled system to manage all activities related to unsurfaced roads. Within 1 year, a remarkable difference in gravel road performance was observed without a significant reduction in productivity. Total transportation costs were lowered with only a marginal increase in agency costs. Continuous communication among system operators, design engineers, project managers, and construction teams is considered one of the most important aspects in optimizing performance of the Western Cape low-volume road network. This study highlights the most important changes in management, systems, design, and construction and the practical innovations responsible for the successes achieved as a potentially valuable aid to those involved with providing and maintaining low-volume roads.

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Namatēvs, Ivars, Roberts Kadiķis, Anatolijs Zencovs, Laura Leja et Artis Dobrājs. « Dataset of Annotated Virtual Detection Line for Road Traffic Monitoring ». Data 7, n^o 4 (31 mars 2022) : 40. http://dx.doi.org/10.3390/data7040040.

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Monitoring, detection, and control of traffic is a serious problem in many cities and on roads around the world and poses a problem for effective and safe control and management of pedestrians with edge devices. Systems using the computer vision approach must ensure the safety of citizens and minimize the risk of traffic collisions. This approach is well suited for multiple object detection by automatic video surveillance cameras on roads, highways, and pedestrian walkways. A new Annotated Virtual Detection Line (AVDL) dataset is presented for multiple object detection, consisting of 74,108 data files and 74,108 manually annotated files divided into six classes: Vehicles, Trucks, Pedestrians, Bicycles, Motorcycles, and Scooters from the video. The data were captured from real road scenes using 50 video cameras from the leading video camera manufacturers at different road locations and under different meteorological conditions. The AVDL dataset consists of two directories, the Data directory and the Labels directory. Both directories provide the data as NumPy arrays. The dataset can be used to train and test deep neural network models for traffic and pedestrian detection, recognition, and counting.

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Leonovich, Ivan, et Elena Kashevskaja. « SELECTION OF CRITERIA FOR PROCESS MONITORING AT THE OPERATIVE LEVEL OF ROAD QUALITY MANAGEMENT ». Technological and Economic Development of Economy 13, n^o 2 (30 juin 2007) : 144–52. http://dx.doi.org/10.3846/13928619.2007.9637790.

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A strategic goal of road quality management is to create favourable infrastructure conditions for the economic and social development of the country, raising the living standard and promoting activities for improving the use of natural and industrial resources and national stability. In this study the quality management was analysed as a three‐level system: at level I (strategic) the management of the road sector as a whole is discussed out; at level II (tactical) the solutions for distributing the road quality management and the planned resources between the contracting organisations are realised; at level III (operative) the quality is operatively managed in the course of production process. The main attention in the article is paid to the selection of criteria for process monitoring at an operative level of road quality management. The article shows that the essential criteria of road quality management monitoring are: technical (engineering), financial and social.

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Barriera, Maria, Simon Pouget, Bérengère Lebental et Julien Van Rompu. « In Situ Pavement Monitoring : A Review ». Infrastructures 5, n^o 2 (7 février 2020) : 18. http://dx.doi.org/10.3390/infrastructures5020018.

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The assessment of pavement conditions and their evolution with time is a crucial component for the establishment of pavement quality management (QM) plans and the implementation of QM practices. An effective pavement management system (PMS) is based on pavement conditions data continuously collected along the lifetime of a road. These data are used to model the pavement response, evaluate its performances, and trigger the necessary maintenance actions when they do not meet previously defined performance indicators. In the last decades, pavement monitoring via embedded sensing technologies has attracted more and more attention. Indeed, the integration of sensors in the road pavement allows the assessment of the complete history of pavement conditions, starting from sensor installation. Once the technologies are stabilized, collecting this information is expected to help road managers to define more effective asset management plans. This paper first proposes an overview of the most used devices for pavement instrumentation, categorized according to the measured parameters. Then a review of some prominent instrumented sections is presented by focusing on the methodology used for data interpretation.

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Starke, Michael, Anton Kunneke et Martin Ziesak. « Monitoring of Carriageway Cross Section Profiles on Forest Roads : Assessment of an Ultrasound Data Based Road Scanner with TLS Data Reference ». Forests 12, n^o 9 (2 septembre 2021) : 1191. http://dx.doi.org/10.3390/f12091191.

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Forest roads are an important element in forest management as they provide infrastructure for different forest stakeholder groups. Over time, a variety of road assessment concepts for better planning were initiated. The monitoring of the surface cross-section profile of forest roads particularly offers the possibility to take early action in restoring a road segment and avoiding higher future costs. One vehicle-based monitoring system that relies on ultrasound sensors addresses this topic. With advantages in its dirt influence tolerance and high temporal resolution, but shortcomings in horizontal and vertical measuring accuracy, the system was tested against high resolution terrestrial laser scanner (TLS) data to find and assess working scenarios that fit the low- resolution measuring principle. In a related field test, we found low correct road geometry interpretation rates of 54.3% but rising to 91.2% under distinctive geometric properties. The further applied line- and segment-based method used to transform the TLS data to fit the road scanner measuring method allows the transfer of the road scanner evaluation principle to point-cloud or raster data of different origins.

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Kraut, Marianne, et Ioana Victoria Koglbauer. « STPA-Based Analysis of the Process Involved in Enforcing Road Safety in Austria ». Safety 7, n^o 2 (8 mai 2021) : 34. http://dx.doi.org/10.3390/safety7020034.

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The European Commission pursues a strategic action plan using the “Safe System” approach. The function, layout and design of roads shall be coordinated in such a way that human error is compensated, and possible accidents no longer cause fatalities or serious injuries. Four fields of action are defined: people, vehicles, roads and laws. This study aims to model the process involved in road safety management in Austria based on the System-Theoretic Process Analysis (STPA) and to identify areas of improvement that also meet these goals. This is intended to create the basis for a method that can also be applied in practice to meet the “Safe System” approach. The traffic authorities or road owners are responsible for monitoring and enforcing road safety in Austria. Their main instrument is the Road Safety Inspection (RSI) that focuses primarily on road traffic planning aspects. This study proposes a method for including human-road-vehicle interactions in RSI. The STPA-based analysis showed how the road safety management and RSI can be improved to provide more comprehensive, accurate and relevant information about hazards at various levels of the safety management structure. The results can be used for improving the safety of all road users.

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Homainejad, A. S. « With Geospatial in Path of Smart City ». ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-7/W3 (30 avril 2015) : 1381–87. http://dx.doi.org/10.5194/isprsarchives-xl-7-w3-1381-2015.

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With growth of urbanisation, there is a requirement for using the leverage of smart city in city management. The core of smart city is Information and Communication Technologies (ICT), and one of its elements is smart transport which includes sustainable transport and Intelligent Transport Systems (ITS). Cities and especially megacities are facing urgent transport challenge in traffic management. Geospatial can provide reliable tools for monitoring and coordinating traffic. In this paper a method for monitoring and managing the ongoing traffic in roads using aerial images and CCTV will be addressed. In this method, the road network was initially extracted and geo-referenced and captured in a 3D model. The aim is to detect and geo-referenced any vehicles on the road from images in order to assess the density and the volume of vehicles on the roads. If a traffic jam was recognised from the images, an alternative route would be suggested for easing the traffic jam. In a separate test, a road network was replicated in the computer and a simulated traffic was implemented in order to assess the traffic management during a pick time using this method.

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Taylor, Brendan D., et Ross L. Goldingay. « Roads and wildlife : impacts, mitigation and implications for wildlife management in Australia ». Wildlife Research 37, n^o 4 (2010) : 320. http://dx.doi.org/10.1071/wr09171.

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Roads can disrupt the population processes of vertebrate wildlife species through habitat fragmentation and vehicle collision. The aims of this review were to synthesise the recent literature on road impacts on wildlife, to identify gaps in our understanding of this topic and to guide future research and management in Australia. We reviewed 244 published studies from the last decade on road and vehicle impacts on wildlife conducted worldwide. A geographic bias was evident among the studies, with 51% conducted in North America, 25% in Europe, 17% in Australia and 7% across several other countries. A taxonomic bias was evident towards mammals (53%), with far fewer studies on birds (10%), amphibians (9%) and reptiles (8%), and some (20%) included multiple taxonomic groups. Although this bias is partly explained by large insurance and medical costs associated with collisions involving large mammals, it is also evident in Australia and signals that large components of biodiversity are being neglected. Despite a prevalence of studies on wildlife road mortality (34%), population impacts are poorly described, although negative impacts are implicated for many species. Barrier effects of roads were examined in 44 studies, with behavioural aversion leading to adverse genetic consequences identified for some species. The installation of road-crossing structures for wildlife has become commonplace worldwide, but has largely outpaced an understanding of any population benefits. Road underpasses appear to be an important generic mitigation tool because a wide range of taxa use them. This knowledge can guide management until further information becomes available. Global concern about the decline of amphibians should lead to a greater focus on road impacts on this group. Priorities for research in Australia include (1) genetic studies on a range of taxa to provide an understanding of life-history traits that predispose species to barrier effects from roads, (2) studies that examine whether crossing structures alleviate population impacts from roads and (3) studies that describe the behavioural response of frogs to crossing structures and that identify factors that may promote the use of suitable structures. A national strategy to mitigate the impacts of roads on wildlife populations is long overdue and must ensure that research on this topic is adequately funded.

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Al-Mansour, Abdullah I., et Abdulraaof H. Al-Qaili. « An Application of Android Sensors and Google Earth in Pavement Maintenance Management Systems for Developing Countries ». Applied Sciences 12, n^o 11 (1 juin 2022) : 5636. http://dx.doi.org/10.3390/app12115636.

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Governments and road agencies face the challenging task of maintaining roads. One of the reasons this is challenging is that the maintenance process requires utilizing a substantial amount of road network condition data. There are many approaches for measuring road surface conditions which are very costly and time-consuming, as well as requiring skillful operators. Developing countries have limited budgets for planning and monitoring road maintenance. This research aims to establish a low-cost pavement maintenance management system for intermediate and small cities in developing countries. The system utilizes low-cost sensors embedded in smartphones that can be used to measure road surface conditions. Google Earth is then used to present maintenance data, select a maintenance strategy, and view the maintenance output information. Road Lab Pro, an android application, is used to collect the data and estimate the surface condition of roads by using accelerometers, gyroscopes, and a GPS. The road network is divided into segments and the road surface conditions are estimated for each segment using the smartphone application and a suspension vehicle. The required maintenance activities for these segments are then established. A priority index is determined for each segment to decide which segments should be maintained with the available budget. This effort allows us to investigate the feasibility of assessing road surface roughness using a smartphone to determine the presence of road distresses and the overall road condition, which is taken into account when making maintenance decisions. The application of this system reveals that these new technologies can provide cost-effective, easy-handling, and efficient ways for a road agency to perform good maintenance planning.

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Antoine, Gatera, Chomora Mikeka, Gaurav Bajpai et Kayalvizhi Jayavel. « Speed Management Strategy : Designing an IoT-Based Electric Vehicle Speed Control Monitoring System ». Sensors 21, n^o 19 (7 octobre 2021) : 6670. http://dx.doi.org/10.3390/s21196670.

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Road accidents represent the greatest public health burden in the world. Road traffic accidents have been on the rise in Rwanda for several years. Speed has been identified as a core factor in these road accidents. Therefore, understanding road accidents caused by excessive speeding is critical for road safety planning. In this paper, input and out pulse width modulation (PWM) was used to command the metal–oxide–semiconductor field-effect transistor (MOSFET) controller which supplied voltage to the motor. A structural speed control and Internet of Things (IoT)-based online monitoring system was developed to monitor vehicle data in a continuous manner. Two modeling techniques, multiple linear regression (MLR) and random forest (RF) models, were evaluated to find the best model to estimate the required voltage to be supplied to the motors in a particular zone. The built models were evaluated based upon the coefficient of determination R2. The RF performs better than the MLR as it reveals a higher R2 value and it is found to be 98.8%. Based on the results, the proposed method was proven to significantly reduce the supplied voltage to the motor and consequently increase safety.

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Gaspar, Gabriel, Juraj Dudak, Maria Behulova, Maximilian Stremy, Roman Budjac, Stefan Sedivy et Boris Tomas. « IoT-Ready Temperature Probe for Smart Monitoring of Forest Roads ». Applied Sciences 12, n^o 2 (12 janvier 2022) : 743. http://dx.doi.org/10.3390/app12020743.

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Currently, we are experiencing an ever-increasing demand for high-quality transportation in the distinctive natural environment of forest roads, which can be characterized by significant weather changes. The need for more effective management of the forest roads environment, a more direct, rapid response to fire interventions and, finally, the endeavor to expand recreational use of the woods in the growth of tourism are among the key factors. A thorough collection of diagnostic activities conducted on a regular basis, as well as a dataset of long-term monitored attributes of chosen sections, are the foundations of successful road infrastructure management. Our main contribution to this problem is the design of a probe for measuring the temperature profile for utilization in stand-alone systems or as a part of an IoT solution. We have addressed the design of the mechanical and electrical parts with emphasis on the accuracy of the sensor layout in the probe. Based on this design, we developed a simulation model, and compared the simulation results with the experimental results. An experimental installation was carried out which, based on measurements to date, confirmed the proposed probe meets the requirements of practice and will be deployed in a forest road environment.

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Waga, Katalin, Piotr Tompalski, Nicholas C. Coops, Joanne C. White, Michael A. Wulder, Jukka Malinen et Timo Tokola. « Forest Road Status Assessment Using Airborne Laser Scanning ». Forest Science 66, n^o 4 (6 octobre 2019) : 501–8. http://dx.doi.org/10.1093/forsci/fxz053.

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Abstract Forest roads allow access for silvicultural operations, harvesting, recreational activities, wildlife management, and fire suppression. In British Columbia, Canada, roads that are no longer required must be deactivated (temporarily, semipermanently, or permanently) in order to minimize the impact on the overall forested ecosystem. However, the remoteness and size of the road network present challenges for monitoring. Our aim was to examine the utility of airborne laser scanning data to assess the status and quality of forest roads across 52,000 hectares of coastal forest in British Columbia. Within the forest estate, roads can be active or deactivated, or have an unknown status. We classified road segments based on the vegetation growth on the road surface, and edges, by classifying the height distribution of airborne laser scanning returns within each road segment into four groups: no vegetation, minor vegetation, dense understory vegetation, and dense overstory vegetation. Validation indicated that 73 percent of roads were classified correctly when compared to independent field observations. The majority were classified as active roads with no vegetation or deactivated with dense vegetation. The approach presented herein can aid forest managers in verifying the status of the roads in their management area, especially in remote areas where field assessments are costly and time-consuming.

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Bența, Dan, Lucia Rusu et Misu-Jan Manolescu. « Workflow Automation in a Risk Management Framework for Pavement Maintenance Projects ». International Journal of Computers Communications & ; Control 12, n^o 2 (1 mars 2017) : 155. http://dx.doi.org/10.15837/ijccc.2017.2.2875.

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This paper presents a Workflow Management System (WfMS) for procurement process automation in road pavement maintenance and management. It fits information infrastructure for monitoring and maintenance of pavements and roads. Through the two roles of administrator and major users (builder and subcontractors), the solution models the entire process. This way, risks of exceeding allocated budget, time consuming tasks, overcoming deadline, and time consuming quality control, as main issues in risk management, are reduced and controlled.

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Ramesh, Akshatha, Dhananjay Nikam, Venkat Narayanan Balachandran, Longxiang Guo, Rongyao Wang, Leo Hu, Gurcan Comert et Yunyi Jia. « Cloud-Based Collaborative Road-Damage Monitoring with Deep Learning and Smartphones ». Sustainability 14, n^o 14 (15 juillet 2022) : 8682. http://dx.doi.org/10.3390/su14148682.

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Road damage such as potholes and cracks may reduce ride comfort and traffic safety. This influence can be prevented by regular, proper monitoring and maintenance of roads. Traditional methods and existing methods of surveying are very time-consuming, expensive, require a lot of human effort, and, thus, cannot be conducted frequently. A more efficient and cost-effective process is required to augment profilometer and traditional road-condition recognition systems. In this study, we propose deep-learning methods using smartphone data to devise a cost-effective and ad-hoc approach. Information from sensors on smartphones such as motion sensors and cameras are harnessed to detect road damage using deep-learning algorithms. In order to give heuristic and accurate information about the road damage, we used a cloud-based collaborative approach to fuse all the data and update a map frequently with these road-surface conditions. During the experiment, the deep-learning models achieved good prediction accuracy on our dataset, and the cloud-based fusion approach was able to group and merge the detections from different vehicles.

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Han, Hao, Jingming Hou, Ganggang Bai, Bingyao Li, Tian Wang, Xuan Li, Xujun Gao et al. « A deep learning technique-based automatic monitoring method for experimental urban road inundation ». Journal of Hydroinformatics 23, n^o 4 (17 mai 2021) : 764–81. http://dx.doi.org/10.2166/hydro.2021.156.

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Abstract Reports indicate that high-cost, insecurity, and difficulty in complex environments hinder the traditional urban road inundation monitoring approach. This work proposed an automatic monitoring method for experimental urban road inundation based on the YOLOv2 deep learning framework. The proposed method is an affordable, secure, with high accuracy rates in urban road inundation evaluation. The automatic detection of experimental urban road inundation was carried out under both dry and wet conditions on roads in the study area with a scale of a few m2. The validation average accuracy rate of the model was high with 90.1% inundation detection, while its training average accuracy rate was 96.1%. This indicated that the model has effective performance with high detection accuracy and recognition ability. Besides, the inundated water area of the experimental inundation region and the real road inundation region in the images was computed, showing that the relative errors of the measured area and the computed area were less than 20%. The results indicated that the proposed method can provide reliable inundation area evaluation. Therefore, our findings provide an effective guide in the management of urban floods and urban flood-warning, as well as systematic validation data for hydrologic and hydrodynamic models.

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Bruno, Salvatore. « Proposal for a Low-Cost Monitoring System to Assess the Pavement Deterioration in Urban Roads ». European Transport/Trasporti Europei, n^o 91 (février 2023) : 1–10. http://dx.doi.org/10.48295/et.2023.91.10.

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Effective scheduling of pavement monitoring and maintenance activities plays a pivotal role in ensuring safety and comfort for road users. The Pavement Management System (PMS) is a traditional tool to assist the road manager in the decision-making process on which priority maintenance activities to carry out. However, for urban road networks the implementation of a PMS can be complicated due to the many functional and operational problems. This paper presents a prototype low-cost inertial sensor-based system for monitoring the pavement conditions in urban road networks. Starting by the measurements of the vertical accelerations collected in a vehicle riding on a rough pavement, the frequency-weighted vertical acceleration a_wz was calculated according to ISO 2631 standard. This parameter can be adopted as a Key Performance Indicator (KPI) by relating the road roughness to the human whole-body vibration (WBV) exposure on the road user. Some field tests were carried out identifying urban roads in an Italian city with different levels of pavement deterioration. Measurements to evaluate the pavement deterioration were performed using traditional visual inspections and the proposed sensor embedded in a test vehicle (run at different speeds) in order to identify a relationship between these indices in terms of performance classes.

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Shujun, Liu. « Advances in Remote Sensing Extraction of Urban Roads ». E3S Web of Conferences 290 (2021) : 02023. http://dx.doi.org/10.1051/e3sconf/202129002023.

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As early as 1970s, the United States has begun the research of remote sensing image processing technology. In recent ten years, the research of road remote sensing extraction in China has also advanced by leaps and bounds. High resolution remote sensing images have been widely used in many fields, such as urban development planning, environmental monitoring and evaluation, and public announcement information services. The main application goal of remote sensing image is to extract the information of the object of interest, then identify it and complete the image understanding. Road is the most important and basic transportation mode of human beings, which provides a lot of support for the development of human civilization. road extraction is important for traffic management, including urban planning, road monitoring, GPS navigation, map updating, image registration, etc. extracting roads from high-resolution remote sensing satellite images is not only a challenging research direction, but also of great practical value.

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Finogeev, Alexey, Аnton Finogeev, Ludmila Fionova, Artur Lyapin et Kirill A. Lychagin. « Intelligent monitoring system for smart road environment ». Journal of Industrial Information Integration 15 (septembre 2019) : 15–20. http://dx.doi.org/10.1016/j.jii.2019.05.003.

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Kravcovas, Igoris, Audrius Vaitkus et Rita Kleizienė. « Comparison of Pavement Performance Models for Urban Road Management System ». Baltic Journal of Road and Bridge Engineering 15, n^o 3 (14 août 2020) : 111–29. http://dx.doi.org/10.7250/bjrbe.2020-15.487.

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The key factors for effective pavement management system (PMS) are timely preservation and rehabilitation activities, which provide benefit in terms of drivers’ safety, comfort, budget and impact on the environment. In order to reasonably plan the preservation and rehabilitation activities, the pavement performance models are used. The pavement performance models are usually based on damage and distress observations of rural roads, and can be applied to forecast the performance of urban roads. However, the adjustment of the parameters related to traffic volume, speed and load, climate conditions, and maintenance has to be made before adding them to PMS for urban roads. The main objective of this study is to identify the performance indicators and to suggest pavement condition establishment methodology of urban roads in Vilnius. To achieve the objective, the distresses (rut depth and cracks), bearing capacity, and international roughness index (IRI) were measured for fifteen urban roads in service within a two-year period. The distresses, rut depth and IRI were collected with the Road Surface Tester (RST) and bearing capacity of pavement structures were measured with a Falling Weight Deflectometer (FWD). The measured distresses were compared to the threshold values identified in the research. According to the measured data, the combined pavement condition indices using two methodologies were determined, as well as a global condition index for each road. The analysed roads were prioritized for maintenance and rehabilitation in respect to these criteria. Based on the research findings, the recommendations for further pavement condition monitoring and pavement performance model implementation to PMS were highlighted.

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Li, Qingwu, Haisu Cheng, Yan Zhou et Guanying Huo. « Road Vehicle Monitoring System Based on Intelligent Visual Internet of Things ». Journal of Sensors 2015 (2015) : 1–16. http://dx.doi.org/10.1155/2015/720308.

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In recent years, with the rapid development of video surveillance infrastructure, more and more intelligent surveillance systems have employed computer vision and pattern recognition techniques. In this paper, we present a novel intelligent surveillance system used for the management of road vehicles based on Intelligent Visual Internet of Things (IVIoT). The system has the ability to extract the vehicle visual tags on the urban roads; in other words, it can label any vehicle by means of computer vision and therefore can easily recognize vehicles with visual tags. The nodes designed in the system can be installed not only on the urban roads for providing basic information but also on the mobile sensing vehicles for providing mobility support and improving sensing coverage. Visual tags mentioned in this paper consist of license plate number, vehicle color, and vehicle type and have several additional properties, such as passing spot and passing moment. Moreover, we present a fast and efficient image haze removal method to deal with haze weather condition. The experiment results show that the designed road vehicle monitoring system achieves an average real-time tracking accuracy of 85.80% under different conditions.

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Ardian, Muhammad, Sahala Ruben A. et Reza Ardhianto. « HAUL ROAD CONDITION MONITORING USING SENSORS AND GNSS DATA ». Prosiding Temu Profesi Tahunan PERHAPI 1, n^o 1 (29 mars 2020) : 293–304. http://dx.doi.org/10.36986/ptptp.v1i1.73.

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ABSTRAK Salah satu faktor agar mendapatkan performa alat angkut yang baik adalah dengan kondisi jalan angkut yang baik. Oleh karena itu, perlu diantisipasi dengan cara melakukan rekayasa engineering terhadap hal yang berpotensi menimbulkan kondisi jalan yang tidak baik. Dalam pembuatan prototype aplikasi ini digunakan data sensor strut pressure & data GNSS (Global Navigation Satellite System) sebagai teknologi untuk melakukan pengawasan terhadap kondisi jalan. Penggunaan sistem pengawasan jalan tambang menggunakan data sensor strut pressure dan data GNSS diharapkan dapat membantu meningkatkan produktivitas & efektivitas dalam pengambilan keputusan terkait dengan kegiatan pengawasan dan pemeliharaan kondisi jalan angkut di area tambang Pit Batu Hijau. Kata Kunci : Jalan Angkut, Fleet Management System, Sensor Strut Pressure, Global Navigation Satellite System, Analisa Data Geospasial ABSTRACT One of factor to get the good performed of hauling equipment is good condition of hauling road. Because of this, need to be prevent with engineering method about the things that potential can impact the poor haul road condition. The simulation was performed with using sensor and GNSS (Global Navigation Satellite System) Data as a technology about monitoring haul road condition. Utilizing haul road monitoring system using data sensor and GNSS expect can help to improve the productivity & effectivity for interpretation the good decision about monitoring activity and maintain Haul road condition at Pit Batu Hijau.Key Words : Haul Road, Fleet Management System, Sensor Strut Pressure, Global Navigation Satellite System, Geospatial Data Analyst

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Dmytrychenko, Nikolay, et Anna Kharchenko. « Development of method for road network management program optimization ». Technology audit and production reserves 4, n^o 2(60) (31 juillet 2021) : 56–60. http://dx.doi.org/10.15587/2706-5448.2021.237949.

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The object of research is the processes of road network management. The main hypothesis of the study is the application of optimization methods to the road asset management program, which allows to implement a road maintenance strategy, which includes a set of measures involved in ensuring and maintaining roads at the appropriate operational level. In general, the sequence of asset management begins with the definition of objectives, policy of road administrations and the available budget. According to this starting point, data collection, performance monitoring, analysis of options and optimization programs, selection and implementation of a set of projects are performed. The goals and objectives of road project management depending on the category are considered. The model of strategic planning of the program on management of a network of highways is offered and the modern architecture of model is constructed. The main approaches to the optimization of the road asset management program are identified. The target function for the optimization model is proposed, which is to minimize the cost of maintenance of the road network and defines the goals to be achieved in the optimization process. The optimization model is a mathematical description designed to compare alternative strategies and identify the relative benefits of each strategy according to the assigned decision criteria, such as safety, cost, environment and others. The main idea and goal of road network management projects is to improve maintenance practices and policies and thus improve the condition of the network, or maintain it at the current level, taking into account resource constraints. The results of program optimization have practical value and can be used to manage road repair and operation projects depending on: – defined project goals and plans, including scheduling, budgeting, planning, established efficiency requirements and selection of project participants; – maximizing the efficient use of resources; – implementation of functions of coordination and control, planning, design, evaluation, conclusion of contracts and implementation of projects under contracts.

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Peaden, J. Mark, Tracey D. Tuberville, Kurt A. Buhlmann, Melia G. Nafus et Brian D. Todd. « Delimiting road-effect zones for threatened species : implications for mitigation fencing ». Wildlife Research 42, n^o 8 (2015) : 650. http://dx.doi.org/10.1071/wr15082.

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Context Roads are a pernicious form of habitat loss for many wildlife populations because their effects often extend far beyond the roads themselves, giving rise to reduced wildlife abundance in road-effect zones. Quantifying the extent of road-effect zones more accurately portrays their impact on populations and the true extent to which habitat is lost for many species. Aim The purpose of the present study was to evaluate ways of determining the extent of road-effect zones for a model study species to better quantify the effect of roads on habitat loss. Methods We conducted road-side surveys for signs of Mojave desert tortoises (Gopherus agassizii) 0, 200, 400, 800 and 1600 m from county roads and interstates, two of the most common road types in critical habitat of this threatened species. Using data from these road-side surveys, we estimated the extent of road-effect zones using piecewise regression and modified von Bertalanffy models. Key results We found reduced abundances of tortoise sign along both county roads and interstates. Reductions extended farther from the large, high-traffic interstate than from the smaller, lower-traffic county roads (306 m versus 230 m). The increase in the abundance of tortoise signs with distance from roads approximated a negative exponential curve. Conclusions Interstate and county roads both contribute to habitat loss in road-side areas by making these habitats unsuitable to desert tortoises, presumably by removing animals via mortality from collisions with vehicles. Larger roads with greater traffic have more extensive effects. Implications Roadside mitigation fencing has been proposed as one way to reduce mortality of desert tortoises and to reclaim habitat by allowing tortoises to recolonise currently depauperate road-effect zones. Immediate mortality is more likely to be prevented by fencing county roads where tortoises occur closer to roads and are more likely to be struck by vehicles and killed. However, fencing interstate should yield more reclaimed habitat than that obtained from fencing county roads. Managers must consider balancing these goals along with other concerns when deciding where to place roadside fencing.

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Khahro, Shabir Hussain, Yasir Javed et Zubair Ahmed Memon. « Low Cost Road Health Monitoring System : A Case of Flexible Pavements ». Sustainability 13, n^o 18 (14 septembre 2021) : 10272. http://dx.doi.org/10.3390/su131810272.

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A healthy road network plays a significant role in the socio-economic development of any country. Road management authorities struggle with pavement repair approaches and the finances to keep the existing road network to its best functionality. It has been observed that real-time road condition monitoring can drastically reduce road and vehicle maintenance expenses. There are various methods to analyze road health, but most are either expensive, costly, time-consuming, labor-intensive, or imprecise. This study aims to design a low-cost smart road health monitoring system to identify the road section for maintenance. An automized sensor-based system is developed to assist the road sections for repair and rehabilitation. The proposed system is mounted in a vehicle and the data have been collected for a more than 1000 km road network. The data have been processed using SPSS, and it shows that the proposed system is adequate for detecting the road quality. It is concluded that the proposed system can identify the vulnerable sections to add to the pavement maintenance plan. In the future, the created application can be launched as a smart citizen app where each car driver can install this application and can monitor the road quality automatically.

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Bernardo, Ernesto, Stefano Bonfa et Salvatore Calcagno. « Techniques of Geomatics and Soft Computing for the Monitoring of Infrastructures and the Management of Big Data ». WSEAS TRANSACTIONS ON ENVIRONMENT AND DEVELOPMENT 17 (22 avril 2021) : 371–85. http://dx.doi.org/10.37394/232015.2021.17.37.

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The proposed research activity is based on the study and development of advanced survey and monitoring techniques for the control and mapping of road infrastructures. Specifically, we want to create an automated monitoring system mainly through the use of drones that at pre-established time steps acquire the data necessary for the continuous monitoring of the functional characteristics of the road infrastructure and the public usability of dynamic data. Subsequently, through the implementation of algorithms dedicated to the management of the amount of georeferenced data acquired - big data - the same will be represented on GIS (Geographic Information System) platforms as "open and updatable" thematic cartography, which can be integrated with further data collected both with of traditional Geomatics (GNSS receivers, motorized total station and 3D laser scanner) and innovative ones (remote sensing, Mobile Mapping Systems (road vehicles and UAVs)). This context also includes the establishment and updating of the Road Cadastre, introduced by the Ministerial Decree of 01/06/2001 No. 6, intended as an IT tool for archiving, viewing, querying and managing all the data that the body owner / manager owns on its own road network.

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Lukyanenko, Kateryna. « FORMATION OF THE COST OF EXPENSES BY TYPES OF ROAD WORKS ». AUTOMOBILE ROADS AND ROAD CONSTRUCTION, n^o 111 (30 juin 2022) : 310–16. http://dx.doi.org/10.33744/0365-8171-2022-111-310-316.

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The article examines the procedure for the formation of enterprise costs by types of road works, which provides for the grouping of costs depending on their destination and place of origin. This process is decisive in calculating the cost of certain types of road works, monitoring compliance with established cost norms, analyzing the composition and structure of costs, determining the influence of factors on their change, making various management decisions regarding cost reduction, as well as changing the production volumes of certain types of road works . For more efficient spending of funds allocated for road construction in Ukraine, it is necessary to introduce measurable target criteria for tracking the effectiveness of road costs, to create conditions for increased competition among contractors who perform design, repair and construction and other works on Ukrainian roads.

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Joshi, Buddhi Raj. « An Evaluation of Challenges of Rural Road Construction Management in Budhinanda Municipality, Nepal ». Journal of Advanced Research in Construction and Urban Architecture 6, n^o 1 (12 avril 2021) : 1–11. http://dx.doi.org/10.24321/2456.9925.202101.

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The overall objective of the study was to evaluate the management related challenges on upgrading and maintenance of the rural road and to find causes of road construction on an impromptu basis in Budhinandha Municipality.A questionnaire was developed after a literature survey in five-point Likert Scale and surveyed purposively and ranked by Relative Importance Indices (RII). This study revealed that five top-ranked management challenges were found to be dispute on alignment selection, improper water management, release of the budget at end of the fiscal year, land acquisition problem during track opening and widening, lack of clear technical specification and weak geology. And five top-ranked causes of road construction on an ad-hoc basis were budget allocation at end of the fiscal year, political and committee interference during the selection of road alignment, lack of preparation of Transportation Master Plan (TMP), lack of sufficient Technical staff and lack of proper project monitoring by a responsible team of Municipality.The high amount of repair and maintenance cost and environmental protection due to haphazard use of dozer on road construction could significantly be reduced, if government authority enforces to follow design standards, understanding the community value, and implementation of bioengineering approach during road construction.

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Munro, Keith G., Jeff Bowman et Lenore Fahrig. « Effect of paved road density on abundance of white-tailed deer ». Wildlife Research 39, n^o 6 (2012) : 478. http://dx.doi.org/10.1071/wr11152.

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Context Although ~3% of white-tailed deer are killed on roads each year, no previous study has tested for an effect of roads on deer abundance. This is difficult to do because road density is generally negatively correlated with deer habitat availability. Aims Our goal was to determine whether roads affect deer abundance. Methods First, we used an existing dataset from Pennsylvania, USA, to determine a range of paved road densities representing a significant range in deer per capita mortality. We then conducted a field study in eastern Ontario, Canada, with sample sites for relative deer abundance selected such that (1) road density in the surrounding landscapes varied over this same range, and (2) there were low correlations across landscapes between road density and deer habitat availability. The latter allowed us to isolate the effects of roads from the effects of habitat on deer abundance. We indexed relative deer abundance using a combination of pellet samples and track counts. Key results Unexpectedly, we observed a positive relationship between relative deer abundance and paved road density. Conclusions We speculate that this positive relationship is due to (1) reduced deer predation and/or perceived predation risk and/or hunting pressure in landscapes with higher road density and/or (2) provision of a resource or service by roads, the benefits of which outweigh the road mortality. Implications We found no evidence that road mortality places deer populations at risk of decline, at least over the range of road density values in our study. Therefore we conclude that road mortality is not a conservation concern for white-tailed deer in ecological contexts similar to our study areas.

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Shaburov, S. S., et E. V. Volkova. « Technologies and materials for overhauling roads in permafrost areas ». Journal «Izvestiya vuzov. Investitsiyi. Stroyitelstvo. Nedvizhimost» 12, n^o 2 (2022) : 248–55. http://dx.doi.org/10.21285/2227-2917-2022-2-248-255.

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This paper addressed the selection of overhaul methods for roads in the permafrost area. Ensuring the strength and stability of the road base and engineering structures under the permafrost conditions and deep seasonal freezing of soils remains one of the main scientific and technical challenges of road construction and maintenance in the northern regions. The main factors causing the failure of road structures were reviewed, including both climate change and complex geological and hydrogeological conditions of the area. Since the construction of the Amur Road, the deformation has been observed in many of its sections. In 2012, the Federal State Institution of Road Management “Zabaykalye”, to-gether with engineering and scientific organisations, developed a target programme for inspecting such sections. The article discusses the renovation measures and technologies elaborated under this programme, which include the construction of culverts, rockfills, thermal diodes and cooling layers, awnings, and protective berms. The monitoring of the repaired sections shows insignificant defor-mation of the road surface and road base; 55 % of the sections were fully stabilised. However, the fi-nal assessment of the permafrost stabilisation will take a longer time. The establishment of an effective system of engineering-geocryological monitoring for the Amur Road should become the most im-portant measure, whose implementation will allow dangerous deformations to be prevented and effi-cient measures for protecting the roadbed from their negative impact to be developed.

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Lamas, D., A. Justo, M. Soilán et B. Riveiro. « 3D POINT CLOUD TO BIM : AUTOMATED APPLICATION TO DEFINE IFC ALIGNMENT AND ROADWAY WIDTH ENTITIES FROM MLS-ACQUIRED LiDAR DATA OF MOUNTAIN ROADS ». ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences X-4/W2-2022 (14 octobre 2022) : 169–76. http://dx.doi.org/10.5194/isprs-annals-x-4-w2-2022-169-2022.

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Abstract. The growing trend of developing standards of information exchange and management processes is leading to Building Information Models (BIM) being adapted to work with linear infrastructure assets. For this reason, the Industry Foundation Classes (IFC) has developed standards for linear infrastructure such as roads. Furthermore, the usage of remote sensing technologies, such as Mobile Laser Scanning (MLS) systems for infrastructure monitoring is increasingly common. This paper presents an automated methodology that takes as input 3D point cloud tiles from an MLS and its trajectory, and outputs an IFC-compliant file that models the alignment of the road and the width of the roadway along the length of the road. The methodology is evaluated in 48 km of mountain roads, in some cases without road markings, using neither intensity nor colour fields.

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Theogene, MUPENDE. « Analysis of Project Monitoring Practices on Implementation of Road Construction in Rwanda. A Case of Sonatube -Bugesera Road ». International Journal of Scientific Research and Management 11, n^o 02 (27 février 2023) : 4626–40. http://dx.doi.org/10.18535/ijsrm/v11i02.em11.

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The general objective of the study was to analyze the effect of project monitoring practices on implementation of road construction projects in Rwanda. The study was carried out in Kigali, Rwanda, Kicukiro-Bugesera Road. This study was guided by the following specific objectives; determine the effect of communication, determine the effect of monitoring tools, investigate the influence of stakeholder’s participation, establish the effect of staff competency on implementation of road construction projects in Kigali. The research study adopted a descriptive research design targeting 84 project managers, committee members and monitoring committee. A closed ended structured questionnaire will be used to collect primary data from 84 sampled respondents. A pilot study was conducted to ascertain the reliability and validity of the instruments. The quality and consistency of the study was further assessed using Cronbach’s alpha. Data analysis was performed using Statistical Package for Social Science (SPSS) version 23. Data presentation was done using frequency counts, percentages, means, standard deviations, regression, correlation and the information were presented in form of tables. The findings revealed that 52.4% of the respondents strongly agreed that project monitoring tools affects implementation of road construction projects in Rwanda. 41.7% of the respondents agreed, with 0% of the respondent remaining neutral. 5.9 % disagreed and none strongly disagreed. This indicates that the majority of the respondent at 52.4% considers that project monitoring tools affects Project implementation of road construction projects in Rwanda. The study findings revealed that for monitoring processes to function properly it requires management support as a mediating factor for a project to succeed. The study recommends management should give their support to all levels of stakeholders for projects to succeed. Key Words: Communication, Monitoring Tools, Stakeholder’s Participation, Staff Competency.

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Chamorro, Alondra, Tomás Echaveguren, Eduardo Allen, Marta Contreras, Joaquín Dagá, Hernan de Solminihac et Luis E. Lara. « Sustainable Risk Management of Rural Road Networks Exposed to Natural Hazards : Application to Volcanic Lahars in Chile ». Sustainability 12, n^o 17 (20 août 2020) : 6774. http://dx.doi.org/10.3390/su12176774.

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Natural hazards may temporarily or permanently interrupt the normal operation of rural road networks. The potential social, economic, environmental and physical impacts of natural events on rural road infrastructures empirically evidence the need to incorporate a sustainable risk approach to manage rural road networks exposed to natural hazards. Available risk management systems are applied to major networks emphasizing the physical risk of road infrastructure in terms of expected economic losses and travel time delays, without considering a systemic approach and other dimensions of risk, such as social vulnerability and the consequent socio-economic effects. The study proposes a sustainable risk management framework for rural roads that accounts for the social vulnerability of rural population, the physical vulnerability of rural roads and the environmental context in terms of natural hazards. The proposed framework is applicable to rural road networks exposed to major natural events that permanently or temporarily disrupt accessibility and mobility in the system. A case study is selected from a developing country, due to the socio-economic condition of the rural population and high vulnerability in the context of natural events. The proposed risk management framework is scaled at the network level rather than an element based analysis, or project level approach, considering the interdependencies between road links, the variability of road infrastructure types in the rural context, and the impacts on network accessibility and mobility due to natural events. The proposed framework is applied to a rural road network exposed to volcanic hazard, specifically lahar flows that are usually the most recurrent and disruptive process in terms of road infrastructure. Outcomes demonstrate that rural population present high social vulnerability levels, resulting in a slower recovery when exposed to the effects of infrastructure disruptions. Therefore, considering social vulnerability under a sustainable risk management approach depicts the sustainable role of rural road networks, which commonly are managed only under a physical vulnerability perspective. The proposed methodology will allow road agencies and municipalities to design sustainable mitigation and recovery strategies by incorporating dimensions such as social vulnerability, probability of failure of road links and their impacts on road accessibility and mobility due to natural hazards.

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Paskibragustian, Angga, Thamrin Thamrin et Sri Wulandari. « Strategi pengelolaan taman median jalan di Kota Pekanbaru ». Jurnal Zona 4, n^o 1 (27 février 2021) : 1–7. http://dx.doi.org/10.52364/jz.v4i1.27.

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Research with the aim of making an inventory of various types of plants, management, maintenance, monitoring, monitoring of road users and formulating a road park management strategy in Pekanbaru City was carried out in January 2020. The research location was in 21 Median Park Road in Pekanbaru City. Descriptive research approach with observation method. The research sample was determined by 3 daily freelance officers / median park road. and 5 road users per road in Jalan Median Park as well as interviews with the Pekanbaru City Parks and Cleanliness Service Staff. The collected data will be presented in a narrative and discussed descriptively. The road median park management strategy in Pekanbaru City was prepared using a SWOT analysis. The results showed that the inventory of plant species diversity in road median parks in Pekanbaru City were Aglonena, Bougenville, Ornamental Banana, Daffodil, Red Soka, Batavia, Oleander, Mawar, Tongue-in-Law, Ketapang Kencana, Palem, Angsana, Bintan, Pulai, Tanjung, Butterfly Tree, Azahra Plant, Japanese Bamboo, Tasbih Flower, Drasena, Yellow Pruning, Ornamental Pineapple, Landep, Tapak Dara, Paris Lilies, Spinach, White Taiwan, Brazilian Lilies, Blood Symbols, Iris, Lantana, White Lilies, Bombay Sutra, Adam Eve, Ruelia Purple Flower. Landscape management (planning, maintenance) of road median parks in Pekanbaru City still has not followed the established SOP. The perception of road users towards the road median park in Pekanbaru City is good, but there are still plants that must be maintained by the relevant Agency. The road median park management strategy in Pekanbaru City is to urge schools in Pekanbaru City to take part in the management of the median park road, involve business and industry players in managing road median parks, planting croton plants that function as aesthetics and absorb pollutants, improve facilities and infrastructure in the road median park, Providing socialization to the community about the importance of preserving the road median park, Providing counseling to casual daily officers regarding the function of the road median park.

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Pandit, Darshan Mukund, Kartik Kaushik et Cinzia Cirillo. « Coupling National Performance Management Research Data Set and the Highway Performance Monitoring System Datasets on a Geospatial Level ». Transportation Research Record : Journal of the Transportation Research Board 2673, n^o 4 (avril 2019) : 583–92. http://dx.doi.org/10.1177/0361198119838983.

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Integration of various datasets is crucial given the emphasis placed on holistic reporting of performance measures of various variables related to road transportation by the Moving Ahead for Progress in the 21st Century (MAP-21) Act. None is more confounding than the merger of geospatial datasets, which is necessary, for example, to combine vehicle travel time and volume information for road segments. Such a merged dataset is released through the National Performance Management Research Dataset (NPMRDS). The NPMRDS is supposed to exclusively cover the National Highway System (NHS) and Strategic Highway Network (STRAHNET) sub-selected from the Highway Performance Monitoring System (HPMS). However, one finds that the coverage is not perfect. There are not only many extra road segments included in the NPMRDS, but also some NHS/STRAHNET roads segments are not fully covered by corresponding NPMRDS segments. Further, one finds very little literature about the method Texas Transportation Institute uses to orchestrate the conflation. Therefore, it was endeavored to create a conflation algorithm which might perform better. The benchmark for the proposed algorithm is the identification of the segments wrongly conflated during the creation of the NPMRDS geospatial dataset. The proposed methodology uses a combination of five measures of similarity between the HPMS and NPMRDS segments. The proposed method successfully identifies significant numbers of mismatched segments: about 5% excess NPMRDS segments, and about 3% HPMS segments without NPMRDS counterpart.

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Wang, Li Xun, Zhi Hong Chen, Li Ying Sui et Wei Li. « The Research of Ponded Water Road Traffic Emergency Management Based on Internet of Things ». Applied Mechanics and Materials 744-746 (mars 2015) : 1848–51. http://dx.doi.org/10.4028/www.scientific.net/amm.744-746.1848.

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This paper presents studies on the theories aimed at using the technologies of Internet of Things in the domain of the emergency management of ponded water on road surface. It first introduces an emergency management model based on the Internet of Things to solve the problem of ponded water on road surface. It discusses a few critical technologies related to this model including monitoring the condition of the ponded water on road surface and the condition of the traffic simultaneously, the framework of data interfacing using multiple sources including the heterogeneous data, the analysis of traffic jam spreading pattern at critical locations of ponded water, comprehensive information analysis, and comprehensive demonstrations of monitoring based on GIS. In the end it gives our expectation about the future and development direction of using the technologies of Internet of Things in city traffic emergency management.

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