Journal articles on the topic 'Road infrastructure monitoring'
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1
Braunfelds, Janis, Ugis Senkans, Peteris Skels, Rims Janeliukstis, Toms Salgals, Dmitrii Redka, Ilya Lyashuk, et al. "FBG-Based Sensing for Structural Health Monitoring of Road Infrastructure." Journal of Sensors 2021 (January 8, 2021): 1–11. http://dx.doi.org/10.1155/2021/8850368.
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Public road infrastructure is developed all around the world. To save resources, ensure public safety, and provide longer-lasting road infrastructure, structural health monitoring (SHM) applications for roads have to be researched and developed. Asphalt is one of the largest used surface materials for the road building industry. This material also provides relatively easy fiber optical sensor technology installment, which can be effectively used for SHM applications—road infrastructure monitoring as well as for resource optimization when road building or their repairs are planned. This article focuses on the research of the fiber Bragg grating (FBG) optical temperature and strain sensor applications in road SHM, which is part of the greater interdisciplinary research project started at the Riga Technical University in the year 2017. Experimental work described in this article was realized in one of the largest Latvian road sites where the FBG strain and temperature sensors were installed into asphalt pavement, and experiments were carried out in two main scenarios. Firstly, in a controlled environment with a calibrated falling weight deflectometer (FWD) to test the installed FBG sensors. Secondly, by evaluating the real-time traffic impact on the measured strain and temperature, where different types of vehicles passed the asphalt span in which the sensors were embedded. The findings in this research illustrate that by gathering and combining data from calibrated FWD measurements, measurements from embedded FBG optical sensors which were providing the essential information of how the pavement structure could sustain the load and information about the traffic intensity on the specific road section, and the structural life of the pavement can be evaluated and predicted. Thus, it enables the optimal pavement future design for necessary requirements and constraints as well as efficient use, maintenance, and timely repairs of the public roads, directly contributing to the overall safety of our transportation system.
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Braunfelds, Janis, Ugis Senkans, Peteris Skels, Rims Janeliukstis, Toms Salgals, Dmitrii Redka, Ilya Lyashuk, et al. "FBG-Based Sensing for Structural Health Monitoring of Road Infrastructure." Journal of Sensors 2021 (January 8, 2021): 1–11. http://dx.doi.org/10.1155/2021/8850368.
Full textAbstract:
Public road infrastructure is developed all around the world. To save resources, ensure public safety, and provide longer-lasting road infrastructure, structural health monitoring (SHM) applications for roads have to be researched and developed. Asphalt is one of the largest used surface materials for the road building industry. This material also provides relatively easy fiber optical sensor technology installment, which can be effectively used for SHM applications—road infrastructure monitoring as well as for resource optimization when road building or their repairs are planned. This article focuses on the research of the fiber Bragg grating (FBG) optical temperature and strain sensor applications in road SHM, which is part of the greater interdisciplinary research project started at the Riga Technical University in the year 2017. Experimental work described in this article was realized in one of the largest Latvian road sites where the FBG strain and temperature sensors were installed into asphalt pavement, and experiments were carried out in two main scenarios. Firstly, in a controlled environment with a calibrated falling weight deflectometer (FWD) to test the installed FBG sensors. Secondly, by evaluating the real-time traffic impact on the measured strain and temperature, where different types of vehicles passed the asphalt span in which the sensors were embedded. The findings in this research illustrate that by gathering and combining data from calibrated FWD measurements, measurements from embedded FBG optical sensors which were providing the essential information of how the pavement structure could sustain the load and information about the traffic intensity on the specific road section, and the structural life of the pavement can be evaluated and predicted. Thus, it enables the optimal pavement future design for necessary requirements and constraints as well as efficient use, maintenance, and timely repairs of the public roads, directly contributing to the overall safety of our transportation system.
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Ye, Zhoujing, Guannan Yan, Ya Wei, Bin Zhou, Ning Li, Shihui Shen, and Linbing Wang. "Real-Time and Efficient Traffic Information Acquisition via Pavement Vibration IoT Monitoring System." Sensors 21, no. 8 (April 10, 2021): 2679. http://dx.doi.org/10.3390/s21082679.
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Traditional road-embedded monitoring systems for traffic monitoring have the disadvantages of a short life, high energy consumption and data redundancy, resulting in insufficient durability and high cost. In order to improve the durability and efficiency of the road-embedded monitoring system, a pavement vibration monitoring system is developed based on the Internet of things (IoT). The system includes multi-acceleration sensing nodes, a gateway, and a cloud platform. The key design principles and technologies of each part of the system are proposed, which provides valuable experience for the application of IoT monitoring technology in road infrastructures. Characterized by low power consumption, distributed computing, and high extensibility properties, the pavement vibration IoT monitoring system can realize the monitoring, transmission, and analysis of pavement vibration signal, and acquires the real-time traffic information. This road-embedded system improves the intellectual capacity of road infrastructure and is conducive to the construction of a new generation of smart roads.
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Song, Yongze, Graeme Wright, Peng Wu, Dominique Thatcher, Tom McHugh, Qindong Li, Shuk Li, and Xiangyu Wang. "Segment-Based Spatial Analysis for Assessing Road Infrastructure Performance Using Monitoring Observations and Remote Sensing Data." Remote Sensing 10, no. 11 (October 26, 2018): 1696. http://dx.doi.org/10.3390/rs10111696.
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Road infrastructure is important to the well-being and economic health of all nations. The performance of road pavement infrastructure is sophisticated and affected by numerous factors and varies greatly across different roads. Large scale spatial analysis for assessing road infrastructure performance is increasingly required for road management, therefore multi-source factors, including satellite remotely sensed climate and environmental data, and ground-monitored vehicles observations, are collected as explanatory variables. Different from the traditional point or area based geospatial attributes, the performance of pavement infrastructure is the line segment based spatial data. Thus, a segment-based spatial stratified heterogeneity method is utilized to explore the comprehensive impacts of vehicles, climate, properties of road and socioeconomic conditions on pavement infrastructure performance. Segment-based optimal discretization is applied on discretizing segment-based pavement data, and a segment-based geographical detector is utilized to assess the spatial impacts of variables and their interactions. Results show that the segment-based methods can more reasonably and accurately describe the characteristics of line segment based spatial data and assess the spatial associations. The two major categories of factors associated with pavement damage are the variables of traffic vehicles and heavy vehicles in particular, and climate and environmental conditions. Meanwhile, the interactions between the explanatory variables in these two categories have much more influence than the single explanatory variables, and the interactions can explain more than half of the pavement damage. This study highlights the great potential of remote sensing based large scale spatial analysis of road infrastructures. The approach in this study provides new ideas for spatial analysis for segmented geographical data. The findings indicate that the quantified comprehensive impacts of variables are practical for wise decision-making for road design, construction and maintenance.
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Ivanova, E., S. Gospodinov, and D. Boyadzhieva. "Monitoring of road infrastructure operation indicators using mobile laser scanning." IOP Conference Series: Materials Science and Engineering 1276, no. 1 (February 1, 2023): 012025. http://dx.doi.org/10.1088/1757-899x/1276/1/012025.
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Abstract The main problems of the national and local road infrastructure in the Republic of Bulgaria are the significant percentage of routes with poor and unsatisfactory operation indicators, and the significant number of road traffic accidents annually. This paper provides a summary assessment of Mobile Laser Scanning (MLS) as a means providing a package of activities that improve roads’ technical and operational parameters and increase road’s safety. It is noted that the use of MLS technology provides high-information value results, and surveying process is significantly faster and safer than that of conventional geodetic methods.
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Wang, Wei. "Construction Technology and Safety Monitoring Measures of Road and Bridge Engineering." Journal of Architectural Research and Development 5, no. 5 (September 28, 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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Soilán, Sánchez-Rodríguez, Río-Barral, Perez-Collazo, Arias, and Riveiro. "Review of Laser Scanning Technologies and Their Applications for Road and Railway Infrastructure Monitoring." Infrastructures 4, no. 4 (September 20, 2019): 58. http://dx.doi.org/10.3390/infrastructures4040058.
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Improving the resilience of infrastructures is key to reduce their risk vulnerability and mitigate impact from hazards at different levels (e.g., from increasing extreme events, driven by climate change); or from human-made events such as: accidents, vandalism or terrorist actions. One of the most relevant aspects of resilience is preparation. This is directly related to: (i) the risk prediction capability; (ii) the infrastructure monitoring; and (iii) the systems contributing to anticipate, prevent and prepare the infrastructure for potential damage. This work focuses on those methods and technologies that contribute to more efficient and automated infrastructure monitoring. Therefore, a review that summarizes the state of the art of LiDAR (Light Detection And Ranging)-based data processing is presented, giving a special emphasis to road and railway infrastructure. The most relevant applications related to monitoring and inventory transport infrastructures are discussed. Furthermore, different commercial LiDAR-based terrestrial systems are described and compared to offer a broad scope of the available sensors and tools to remote monitoring infrastructures based on terrestrial systems.
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Grigorenko, N. I., and E. E. Yanchuk. "DIAGNOSTICS OF THE ROAD CONDITION USING AN UNMANNED AERIAL VEHICLE." World of Transport and Transportation 15, no. 3 (June 28, 2017): 86–92. http://dx.doi.org/10.30932/1992-3252-2017-15-3-7.
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[For the English abstract and full text of the article please see the attached PDF-File (English version follows Russian version)].ABSTRACT With increasing requirements for durability, reliability and safety of roads and their infrastructure, tools to control technical conditions of roads are being improved, involving operation of unmanned aerial vehicles that help to monitor the road infrastructure with the help of aerial photography. The authors of the article introduce a method of continuous automated monitoring developed by them, which is implemented in Moscow region. The wide functional capabilities of the UAV are confirmed for a number of diagnostic and technological tasks. Keywords: automobile road, geotechnical monitoring, diagnostics of roadway, infrastructure, geomass, unmanned aerial vehicle, aerial photography.
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Masino, Johannes, Jakob Thumm, Michael Frey, and Frank Gauterin. "Learning from the crowd: Road infrastructure monitoring system." Journal of Traffic and Transportation Engineering (English Edition) 4, no. 5 (October 2017): 451–63. http://dx.doi.org/10.1016/j.jtte.2017.06.003.
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Shen, Chen. "The Impact of Infrastructure Development on China–ASEAN Trade-Evidence from ASEAN." Sustainability 15, no. 4 (February 10, 2023): 3277. http://dx.doi.org/10.3390/su15043277.
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From the formal dialogue between China and ASEAN in 1991 to the establishment of the China–ASEAN FTA in 2010, the economic and trade relations between China and ASEAN countries have developed rapidly. With the continuous development of economic and trade relations, the infrastructural level between China and ASEAN has far lagged behind the needs of exchanges and trade. How to promote the development of bilateral trade through infrastructure construction and interconnection has become a concern of governments of all countries. In the context of China’s “Belt and Road” Initiative and the “Master Plan for ASEAN Connectivity”, new ideas and opportunities are provided for ASEAN infrastructure construction and its interconnection with China. Based on panel data from 2004 to 2020, this paper analyzes the impact of ASEAN infrastructure on the China–ASEAN trade volume. The analysis finds that road, port, shipping and communication infrastructure positively impact the bilateral trade volume, among which ports exert the greatest impact on the bilateral trade volume and roads have the least impact. For a more in-depth study, the transportation infrastructures of land and island countries are compared and analyzed separately. The impact of road infrastructure on trade is significant for land countries, while the impact of port infrastructure on trade is more remarkable for island countries. Finally, measures and suggestions on how to promote the development of bilateral trade are proposed on the basis of the above analysis.
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D’Aranno, P., A. Di Benedetto, M. Fiani, and M. Marsella. "REMOTE SENSING TECHNOLOGIES FOR LINEAR INFRASTRUCTURE MONITORING." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W11 (May 4, 2019): 461–68. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w11-461-2019.
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<p><strong>Abstract.</strong> The need for a continuous evaluation of the state of preservation of civil infrastructures during their lifetime is increasingly requiring advanced monitoring technologies. The improvement of spatial and temporal resolution of the measurements is now one of the most significant achievement, especially for large infrastructures. Monitoring actions are necessary to maintain safety conditions by controlling the evolution of deformation patterns or detecting significant instabilities. Remote sensing technique such as Differential Interferometry by Synthetic Aperture Radar (DInSAR) allows identifying environmental vulnerability and potential damages on large road infrastructures thus contributing to plan and optimize maintenance actions. DInSAR data allow to highlight instability processes and to quantify mean deformation velocities and displacement time series. This information can be analysed considering geotechnical and structural characteristics and adopted to evaluate possible safety condition improvement and damage mitigation. Using proximal remote sensing techniques, such as Light Detection And Ranging (LiDAR), it is possible to analyse the pavement conditions on 3D models derived from a dense point cloud acquired by Mobile Laser Scanner (MLS). By combining the DInSAR and LiDAR datasets a great improvement is expected in the capability to promptly identifying critical situations and understanding potential risks affecting extended road infrastructures. The principal aim of this paper is to provide a general overview of the most innovative remote sensing techniques for infrastructure safety condition assessments. Furthermore, a methodological approach to define a reliable procedure for data processing and integration is applied on a test area located in the municipality of Rome.</p>
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Lamas, D., A. Justo, M. Soilán, and 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 (October 14, 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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Chamorro, Alondra, Tomás Echaveguren, Eduardo Allen, Marta Contreras, Joaquín Dagá, Hernan de Solminihac, and Luis E. Lara. "Sustainable Risk Management of Rural Road Networks Exposed to Natural Hazards: Application to Volcanic Lahars in Chile." Sustainability 12, no. 17 (August 20, 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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Peiris, Sujanie, Janneke Berecki-Gisolf, Stuart Newstead, Bernard Chen, and Brian Fildes. "Development of a Methodology for Estimating the Availability of ADAS-Dependent Road Infrastructure." Sustainability 13, no. 17 (August 24, 2021): 9512. http://dx.doi.org/10.3390/su13179512.
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Advanced driver assist systems are being promoted with the expectation that enhanced driver support will mitigate road trauma. While these technologies are optimised for certain road and traffic conditions, not all roads across Australasia are equipped with ADAS-supportive infrastructure. This study developed a desk-top methodology for using road classes (disaggregated by remoteness levels) to estimate the presence of quality roads, road delineation and speed signage in Victoria, Australia. Aerial imagery and mapping data were used to assess a number of random locations based on a developed protocol. The methodology demonstrated that in Victoria, major and arterial roads across all remoteness levels had high-quality sealed surfaces but 42% of all remote roads were unsealed. Delineation (crucial for lane support systems) were absent across 73% of sub-arterial roads independent of remoteness, and absent across 96% of sub-arterial roads in regional and remote areas. Speed sign availability across remote and regional areas was sparse, with only 65% of all roads assessed having signage. Results are reflective of Victoria’s road funding model and consistent with on-road audits conducted by other researchers. This methodology enables the proportion ADAS-ready roads to be estimated so the benefits of ADAS technologies can be quantified and investments into ADAS-supportive infrastructure be readily allocated.
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Seto, Toshikazu, and Yoshihide Sekimoto. "Trends in Citizen-Generated and Collaborative Urban Infrastructure Feedback Data: Toward Citizen-Oriented Infrastructure Management in Japan." ISPRS International Journal of Geo-Information 8, no. 3 (February 28, 2019): 115. http://dx.doi.org/10.3390/ijgi8030115.
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Infrastructure management has become a serious problem in many cities. However, the monitoring of daily urban infrastructure requires active feedback, not only by municipal government officers, but also by citizens. In this study, we analyzed Chiba City’s ‘Chiba-repo’ platform to measure citizen feedback and collaboration in urban infrastructure maintenance. We compiled data on over 40,000 citizen-generated reports of infrastructure issues during the period from September 2014 to December 2016 through the Chiba-repo platform and analyzed the geographical distribution and text mining by categorizing the reports. The most frequent report was about road issues, representing 93.8% of the total. As a result, many reports were received from citizens from a time-consuming report like light repairs (average 24.4 days); also, road issues were revealed to be a major town problem. On the other hand, the unsolved issue rate is lower (3.7%) compared with telephone correspondence and counter contact, since posting through the web application allows for a detailed report that includes position information and photographs. The research also predicted that many infrastructure problems would occur on narrow roads and in areas with many elderly people, and that road issue reports are regularly needed in areas that cannot be found or patrolled by administrative staff.
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Patrakeeva, Olga. "Prospects for Social and Economic Development of Krasnodar Krai in the Context of National Transport Infrastructural Projects." Regionalnaya ekonomika. Yug Rossii, no. 2 (August 2020): 122–30. http://dx.doi.org/10.15688/re.volsu.2020.2.12.
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The discrepancy between the pace of economic growth rates, needs of enterprises and population for transportation, quality of the road network is a significant infrastructural limitation for growth. The paper is devoted to the analysis of large scale investment projects aimed at the removal of infrastructural restrictions, i.e. the national project “Secure and High-Quality Roads” and “Comprehensive Plan for the Modernization and Expansion of Main Infrastructure”. It is noted that the project “Secure and High-Quality Roads” for Krasnodar Krai will become a prerequisite for the effectiveness of transport infrastructure. “Comprehensive Plan for the Modernization and Expansion of the Main Infrastructure” including such federal projects as “Europe – Western China”, “Sea Ports of Russia”, “Northern Sea Route”, “Railway Transport and Transit”, “Transport and Logistics Centers”, “Communications Between the Centers of Economic Growth”, “Development of Regional Airports and Routes”, “High-Speed Rail Links”, “Inland Waterways” will increase the investment activity in the transport sector of the region. The paper presents the results of statistical analysis aimed at the identification of significant economic effect from capital investments in the road infrastructure of Krasnodar Krai. It is revealed that investments into transport and communications stimulate the economic growth and also reduce the accident rate on highways in the long run. In addition, the increase in the density of paved public roads stimulates the passenger turnover in the short run and is also a significant factor in the reduction of the accident rate. The downward trend of paved roads in the total length of roads indicates the necessity to invest in the improvement of the quality of existing roads. The author emphasizes that in order to achieve the goals mentioned in the infrastructural projects under analysis, it is necessary to improve the monitoring system of content and development of the infrastructural frame of the territory, evaluate the effectiveness of administrative decisions for the accomplishment of the goals indicated in the infrastructural projects under analysis.
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Soilán, Mario, Andrés Justo, Ana Sánchez-Rodríguez, and Belén Riveiro. "3D Point Cloud to BIM: Semi-Automated Framework to Define IFC Alignment Entities from MLS-Acquired LiDAR Data of Highway Roads." Remote Sensing 12, no. 14 (July 17, 2020): 2301. http://dx.doi.org/10.3390/rs12142301.
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Building information modeling (BIM) is a process that has shown great potential in the building industry, but it has not reached the same level of maturity for transportation infrastructure. There is a standardization need for information exchange and management processes in the infrastructure that integrates BIM and Geographic Information Systems (GIS). Currently, the Industry Foundation Classes standard has harmonized different infrastructures under the Industry Foundation Classes (IFC) 4.3 release. Furthermore, the usage of remote sensing technologies such as laser scanning for infrastructure monitoring is becoming more common. This paper presents a semi-automated framework that takes as input a raw point cloud from a mobile mapping system, and outputs an IFC-compliant file that models the alignment and the centreline of each road lane in a highway road. The point cloud processing methodology is validated for two of its key steps, namely road marking processing and alignment and road line extraction, and a UML diagram is designed for the definition of the alignment entity from the point cloud data.
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Sattar, Shahram, Songnian Li, and Michael Chapman. "Road Surface Monitoring Using Smartphone Sensors: A Review." Sensors 18, no. 11 (November 9, 2018): 3845. http://dx.doi.org/10.3390/s18113845.
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Road surface monitoring is a key factor to providing smooth and safe road infrastructure to road users. The key to road surface condition monitoring is to detect road surface anomalies, such as potholes, cracks, and bumps, which affect driving comfort and on-road safety. Road surface anomaly detection is a widely studied problem. Recently, smartphone-based sensing has become increasingly popular with the increased amount of available embedded smartphone sensors. Using smartphones to detect road surface anomalies could change the way government agencies monitor and plan for road maintenance. However, current smartphone sensors operate at a low frequency, and undersampled sensor signals cause low detection accuracy. In this study, current approaches for using smartphones for road surface anomaly detection are reviewed and compared. In addition, further opportunities for research using smartphones in road surface anomaly detection are highlighted.
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Christou, G., A. Georgiou, E. Christodoulou, M. Tziakouri, C. Christodoulou, S. Kasinopoulou, C. G. Panayiotou, and A. Savva. "DESIGN AND DEVELOPMENT OF A GIS-BASED PLATFORM USING OPEN SOURCE COMPONENTS FOR MONITORING, MAINTENANCE AND MANAGEMENT OF ROAD NETWORK: THE CASE STUDY OF CYPRUS." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVI-4/W2-2021 (August 19, 2021): 37–42. http://dx.doi.org/10.5194/isprs-archives-xlvi-4-w2-2021-37-2021.
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Abstract. Road transport is an important infrastructure system that has a vital role in economic progress, sustainable development, and urban prosperity of societies. Thus, geospatial fundamentals of transport systems need to be adequately considered by the organizations that manage such infrastructures. Furthermore, the adoption of methodologies for monitoring, control and optimisation of transportation networks, from a geographical perspective is crucial to deploy or utilize resources efficiently and cost-effectively. This paper aims to describe the implementation of a complete Geographical Information (GI) based system as developed for the needs of the Cyprus road transport infrastructure. The paper focuses on the system architecture and the presentation of the desktop and mobile application interfaces and utilities. The GI-based system provides a good example of how different tools and open-source components can be integrated to provide a complete solution for collecting, storing, managing, analysing and disseminating geographical information data related to road network infrastructure. The use of the platform within the organization has resulted in a noticeable increase in productivity and accountability. The errors in data collection, analysis and storage were minimized and thus the quality of available data been significantly improved. This is a step towards the achievement of the goals of the European Digital Strategy by using Geographical Information System technologies to take reliable and accurate decisions related to road network monitoring, maintenance and management.
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Bhatt, A., S. Bharadwaj, V. B. Sharma, R. Dubey, and 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 (May 30, 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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Липунов, K. Lipunov, Лемешева, E. Lemesheva, Тихомиров, and P. Tikhomirov. "INCREASE OF PROPUSKNOY SPOSOBNOSTI ROUTE M-3 IN THE BRYANSK REGION." Alternative energy sources in the transport-technological complex: problems and prospects of rational use of 2, no. 2 (December 17, 2015): 657–60. http://dx.doi.org/10.12737/19488.
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In this paper, an analysis of the road network and infrastructure of the Bryansk region on the example of the federal highway M-3 "Ukraine" (Kiev highway). The description of the state of road fabric, its length and the number of lanes. Transport-performance of the road network and bridges do not meet the stresses of modern heavy vehicles and traffic. The planned activities of the area is not considered raising technical category road. To improve the region´s economy and the country´s need to carry out the improvement of road infrastructure, taking into account the different methods that will reduce accidents on the roads, increase and accelerate the flow of goods through the region. It proposed a number of measures to enhance the capacity: to improve the quality of road surface with the transfer of the 1st category; adding overlapping areas; the creation of parking areas and service centers for freight transport, and installation of video cameras for control and monitoring of the road.
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Volkov, Oleksandr, Mykola Komar, and Dmytro Volosheniuk. "Devising an image processing method for transport infrastructure monitoring systems." Eastern-European Journal of Enterprise Technologies 4, no. 2(112) (August 31, 2021): 18–25. http://dx.doi.org/10.15587/1729-4061.2021.239084.
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Identifying and categorizing contours in images is important in many areas of computer vision. Examples include such operational tasks solved by using unmanned aerial vehicles as dynamic monitoring of the condition of transport infrastructure, in particular road markings. This study has established that current methods of image contour analysis do not produce clear and reliable results when solving the task of monitoring the state of road markings. Therefore, it is a relevant scientific and applied task to improve the methods and models of filtration, processing of binary images, and qualitative and meaningful separation of the boundaries of objects of interest. To solve the task of highlighting road marking contours on images acquired from an unmanned aerial vehicle, a method has been devised that includes an operational tool for image preprocessing – a combined filter. The method has several advantages and eliminates the limitations of known methods in determining the boundaries of the location of the object of interest, by highlighting the contours of a cluster of points using histograms. The method and procedures reported here make it possible to successfully solve problems that are largely similar to those that an expert person can face when solving intelligent tasks of processing and filtering information. The proposed method was verified at an enterprise producing the Ukrainian unmanned aerial vehicle "Spectator" during tests of information technology of dynamic monitoring of the state of transport infrastructure. The results could be implemented in promising intelligent control systems in the field of modeling human conscious behavior when sorting data required for the perception of environmental features
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Dmitriev, Mykola, Ihor Vakarchuk, and Igor Sutuga. "System analysis in transport infrastructure." Automobile Roads and Road Construction, no. 109 (2021): 147–56. http://dx.doi.org/10.33744/0365-8171-2021-109-147-156.
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The article deals with the system of training of analysts and proposes the analytical structure of the transport and road complex with the corresponding analytical centers in each of the regions of the country, which have the principal novelty of research on rational forms and methods of information and analytical activity for improving the infrastructure projects and programs management and it is the perspective of creation of industry analytical elite. The object of the research - it is a system for the training of analysts majoring in “System analysis in transport infrastructure” for the transport and road complex of the country. The purpose of work – it is to identify the main program goals of applied system analysis in the transport infrastructure and strategic ways for the creation of analytical elite of the transport and road complex of the country. Method of research - it is a systemic, conceptual and software approaches. Suggested industry analytical structure has principled novelty toward the training of systemic analysts, providing with them the transport and road complex of the country, the continuous monitoring of the state and expert evaluation of the important decisions, the development of alternative infrastructure projects and programs in related fields of transport and road industry, that allow qualitatively to improve decision-making at strategic, tactful and operational levels of the management toward infrastructure projects. The support from the side of interested parties (Stakeholders) of the Ministry of Infrastructure and Ministry of Education concerning guaranteed annual state order of stated specialty “System analysis in transport infrastructure” in National Transport University will allow significantly increase the analytical potential of transport and road complex and country as a whole. Further development of the object of research – it is the state support for the system of the training of analysts for the transport and road complex of the country and suggested analytical system is the basis for the development of related fields of transport and road industry and support of public initiatives in improving the management toward infrastructure projects and programs and the creation of industry analytical elite.
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Yang, Zhen, Ruiping Zheng, Gang Wang, and Kefu Zhou. "A Dynamic Road Network Model for Coupling Simulation of Highway Infrastructure Performance and Traffic State." Sustainability 14, no. 18 (September 14, 2022): 11521. http://dx.doi.org/10.3390/su141811521.
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The state of the road network contains both the infrastructure performance and the traffic operation state of the road network. There is a strong coupling between the decay of the infrastructure performance and the redistribution of the traffic flow on the road network. In this paper, a dynamic road network description model is proposed to apply to the couple simulation of highway network infrastructure performance and traffic state. First, a road network description model is constructed by associating the highway network topology with state attributes. The topology contains traffic information and is dynamically editable. Then, a dynamic road network model is proposed that can dynamically represent the changes in local connectivity relationships caused by traffic control, such as lane/ramp closures and turning restrictions in actual roads due to construction operations and access to the state of multi-scale spatio-temporal road networks. It overcomes the defects of the existing road network model, which is difficult to apply to the analysis of service performance and traffic state of the road network in different periods. Finally, the application of the dynamic road network model in the highway network coupled simulation system (HNCS) is completed, which provides a method for improving the efficiency and accuracy of large-scale highway network traffic simulation and highway infrastructure performance prediction.
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Peiris, Sujanie, Stuart Newstead, Janneke Berecki-Gisolf, Bernard Chen, and Brian Fildes. "Quantifying the Lost Safety Benefits of ADAS Technologies Due to Inadequate Supporting Road Infrastructure." Sustainability 14, no. 4 (February 16, 2022): 2234. http://dx.doi.org/10.3390/su14042234.
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Advanced driver assistance systems (ADAS) provide warnings to drivers and, if applicable, intervene to mitigate a collision if one is imminent. Autonomous emergency brakes (AEB) and lane keep assistance (LKA) systems are mandated in several new vehicles, given their predicted injury and fatality reduction benefits. These predicted benefits are based on the assumption that roads are always entirely supportive of ADAS technologies. Little research, however, has been conducted regarding the preparedness of the road network to support these technologies in Australia, given its vastly expansive terrain and varying road quality. The objective of this study was to estimate what proportion of crashes that are sensitive to AEB and LKA, would not be mitigated due to unsupportive road infrastructure, and therefore, the lost benefits of the technologies due to inadequate road infrastructure. To do this, previously identified technology effectiveness estimates and a published methodology for identifying ADAS-supportive infrastructure availability was applied to an estimated AEB and LKA-sensitive crash subset (using crash data from Victoria, South Australia and Queensland, 2013–2018 inclusive). Findings demonstrate that while the road networks across the three states appeared largely supportive of AEB technology, the lack of delineation across arterial and sub-arterial (or equivalent) roads is likely to have serious implications on road safety, given 13–23% of all fatal and serious injury (FSI) crashes that occurred on these road classes were LKA-sensitive. Based on historical crash data, over 37 fatalities and 357 serious injuries may not be avoided annually across the three Australian states based on the lack of satisfactory road delineation on arterial and sub-arterial (or equivalent) roads alone. Further, almost 24% of fatalities in Victoria, 24% of fatalities in Queensland and 21% of fatalities in South Australia (that are AEB- or LKA-sensitive) are unlikely to be prevented, given existing road infrastructure. These figures are conservative estimates of the lost benefits of the technologies as they only consider fatal and serious injury crashes and do not include minor injury or property damage crashes, the benefits of pedestrian-sensitive AEB crashes in high-speed zones or AEB fitted to heavy vehicles. It is timely for road investments to be considered, prioritised and allocated, given the anticipated penetration of the new technologies into the fleet, to ensure that the road infrastructure is capable of supporting the upcoming fleet safety improvements.
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Starke, Michael, Anton Kunneke, and 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, no. 9 (September 2, 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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Kim, Kyuok, and SunA Cho. "An Optimal Route Algorithm for Automated Vehicle in Monitoring Road Infrastructure." Journal of The Korea Institute of Intelligent Transport Systems 22, no. 1 (February 28, 2023): 265–75. http://dx.doi.org/10.12815/kits.2023.22.1.265.
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Andersen, Desiree, and Yikweon Jang. "Biodiversity and Transportation Infrastructure in the Republic of Korea: A Review on Impacts and Mitigation in Developing the Country." Diversity 13, no. 11 (October 22, 2021): 519. http://dx.doi.org/10.3390/d13110519.
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The construction and continued use of transportation infrastructure, specifically roads, has had a significant global impact on biodiversity and the environment. The Republic of Korea, or South Korea, has a road density of 1.13 km/km2. So far, three nationwide studies about vertebrate road-killed species have been reported, showing bias towards medium to large mammals, the most common victims being the Korean water deer (Hydropotes inermis), Korean hare (Lepus coreanus), Siberian roe deer (Capreolus pygargus), and the common raccoon dog (Nyctereutes procyonoides). Road-kills, or wildlife-vehicle collisions (WVCs), tend to occur in or near preferred habitat types or in highly fragmented areas, with roads additionally being linked to habitat fragmentation and loss. Alongside WVCs and habitat effects, information about other adverse effects on biodiversity is scant, although there are reports that heavy metals and other pollutants from road runoff impact marine biodiversity, vegetation, soil, and groundwater. Furthermore, roads have been linked to a prevalence of invasive plant species. To mitigate road impacts, the South Korean government has constructed, with mixed results, 530 wildlife crossing structures, mainly including overpasses and tunnels. To mitigate road impacts more effectively, the country will need more construction, monitoring, and consistent management of wildlife crossing structures. Further, incorporating plans for wildlife crossing structures in early stages of road development will be required.
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Orellana, Felipe, Jose Manuel Delgado Blasco, Michael Foumelis, Peppe J. V. D’Aranno, Maria A. Marsella, and Paola Di Mascio. "DInSAR for Road Infrastructure Monitoring: Case Study Highway Network of Rome Metropolitan (Italy)." Remote Sensing 12, no. 22 (November 11, 2020): 3697. http://dx.doi.org/10.3390/rs12223697.
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The road network of metropolitan Rome is determined by a large number of structures located in different geological environments. To maintain security and service conditions, satellite-based monitoring can play a key role, since it can cover large areas by accurately detecting ground displacements due to anthropic activities (underground excavations, interference with other infrastructures, etc.) or natural hazards, mainly connected to the critical hydrogeological events. To investigate the area, two different Differential Interferometry Synthetic Aperture Radar (DInSAR) processing methods were used in this study: the first with open source using the Persistent Scatterers Interferometry (PSI) of SNAP-StaMPS workflow for Sentinel-1 (SNT1) and the second with the SBAS technique for Cosmo-SkyMed (CSK). The results obtained can corroborate the displacement trends due to the characteristics of the soil and the geological environments. With Sentinel-1 data, we were able to obtain the general deformation overview of the overall highways network, followed by a selection and classification of the PSI content for each section. With Cosmo-SkyMed data, we were able to increase the precision in the analysis for one sample infrastructure for which high-resolution data from CSK were available. Both datasets were demonstrated to be valuable for collecting data useful to understand the safety condition of the infrastructure and to support the maintenance actions.
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Bernardo, Ernesto, Stefano Bonfa, and 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 (April 22, 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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Budzynski, Marcin, Anna Gobis, Lucyna Guminska, Lukasz Jelinski, Mariusz Kiec, and Piotr Tomczuk. "Assessment of the Influence of Road Infrastructure Parameters on the Behaviour of Drivers and Pedestrians in Pedestrian Crossing Areas." Energies 14, no. 12 (June 15, 2021): 3559. http://dx.doi.org/10.3390/en14123559.
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Pedestrians are participants and, most likely, fatalities in every third road traffic accident in Poland. Over 30% of all fatalities on Polish roads are pedestrians. Accidents with pedestrians are very often the result of various factors related to the infrastructure and behaviour of pedestrians and drivers. The objective of the work was to assess driver and pedestrian behaviour in pedestrian crossing areas. The research also served as a pilot study for similar work to be conducted across Poland, and constituted the basis for monitoring the behaviour of road users in the area of pedestrian crossings. Parameters which must be analysed were identified on the basis of field studies. Principles of selecting test sites were adopted, and measurement methods for pedestrian crossing areas are presented. The influence of the location of the selected test cross-section infrastructure parameters on the behaviour of road users in pedestrian crossing areas is demonstrated. The results of the study will be used as a basis for new solutions involving pedestrian crossing infrastructure designed to improve pedestrian safety. The results were also used in formulating new regulations for the design and maintenance of pedestrian crossings and recommendations for road safety auditors.
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Wu, Jingyan, Saini Yang, Feng Yang, and Xihui Yin. "Road Weather Monitoring System Shows High Cost-Effectiveness in Mitigating Malfunction Losses." Sustainability 13, no. 22 (November 11, 2021): 12437. http://dx.doi.org/10.3390/su132212437.
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Understanding the environmental impacts of road networks and the success of policy initiatives is crucial to a country’s socioeconomic development. In this study, we propose a comprehensive approach to quantitatively assessing whether a given response is effective in mitigating the impacts of environmental shocks on roads. Our approach includes factor analysis, direct and indirect loss quantification, and cost-benefit analysis. Using nationwide data on road malfunctions and weather service performance in China, we found that the macro-level indirect economic losses from road malfunctions were more than the direct losses in multiples ranging from 11 to 21, and that information provided by the weather service could reduce losses, with benefits exceeding costs by a ratio of 51. The results of our study provide a quantitative tool as well as evidence of the effectiveness of sustainability investment, which should provide guidance for future disaster mitigation, infrastructure system resilience, and sustainability-building policy-making.
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Marmiroli, Benedetta, Giovanni Dotelli, and Ezio Spessa. "Life Cycle Assessment of an On-Road Dynamic Charging Infrastructure." Applied Sciences 9, no. 15 (August 1, 2019): 3117. http://dx.doi.org/10.3390/app9153117.
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On road dynamic charging represents a possible solution for the electrification of the transport sector and eventually, for its decarbonisation. However, only a few studies have evaluated the environmental impact of this technology. A detailed life cycle assessment (LCA) of charging infrastructure is missing. This study is a life cycle assessment of the construction and maintenance of an electrified road (e-road) equipped with dynamic wireless power transfer technology (DWPT). The data from an e-road tested in a test site in Susa (Italy) have been adapted for motorway applications. The results show the relevance of wireless power transfer components compared to traditional components and materials. The wireless power transfer (WPT) component production in fact accounts for more than 70% of the impacts in the climate change category, even though it represents less than 1% weight. Maintenance is the phase with the highest impact due to the structural features of the e-road. However, there is considerable uncertainty about this value which still requires further refinement when more data from e-road monitoring are available.
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Troisi, Roberta, and Livia Arena. "Organizational Aspects of Sustainable Infrastructure Safety Planning by Means of Alert Maps." Sustainability 14, no. 4 (February 18, 2022): 2335. http://dx.doi.org/10.3390/su14042335.
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Road infrastructure safety is a key issue in urban planning for numerous agencies, authorities, central and local administrations, road operators and contractors, in addition to researchers and technology experts. The present study describes a theoretical framework and examines coordination models highlighting how the integration between agencies can be developed with a supporting methodology. By means of alert maps derived from the elaboration of DInSAR (differential interferometry synthetic aperture radar) data, the study defines the actors involved, the alert level for each road infrastructure and the rationale for centralized or flexible coordination models. The potential applications of the approach are tested on a case study in Italy, in an area with about 1600 km of roads in Rome. The study aims to promote synergy between the various agencies for more sustainable infrastructure safety planning and governance.
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Soilán, M., A. Justo, A. Sánchez-Rodríguez, D. Lamas, and B. Riveiro. "3D POINT CLOUD DATA PROCESSING AND INFRASTRUCTURE INFORMATION MODELS: METHODS AND FINDINGS FROM SAFEWAY PROJECT." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B2-2021 (June 28, 2021): 239–46. http://dx.doi.org/10.5194/isprs-archives-xliii-b2-2021-239-2021.
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Abstract. Monitoring and digitalization are key to improve the resilience of the infrastructure network in the context of assessing its disaster management cycle. SAFEWAY is a project funded by the H2020 framework that aims to assess infrastructure resilience integrating multiscale information attending to all modes of disaster management cycle. This work presents the methodologies developed in the project for road and rail infrastructure monitoring and modelling, using remotely sensed data from Mobile Mapping Systems (MMS). First, 3D point clouds of both road and rail infrastructure are heuristically processed, obtaining geometric and semantic information from the most relevant assets, as well as the alignment, which is a key entity for generating information models. Such models are computed following the specifications of the Industry Foundation Classes (IFC) 4.1 schema, considering its current limitations and future potential for linear infrastructure modelling. Finally, the information is centralized in a core software platform where a user interface has been developed to aid visualization and interpretation of the resulting data.
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HARADA, Takeshi, and Hiroshi FUKUMOTO. "High Durability Packaging Technology of Sensor Nodes for Road Infrastructure Monitoring System." Journal of The Institute of Electrical Engineers of Japan 140, no. 3 (March 1, 2020): 161–63. http://dx.doi.org/10.1541/ieejjournal.140.161.
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Li, Qingwu, Haisu Cheng, Yan Zhou, and 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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Aishwarya, R., R. Yogitha, and V. Kiruthiga. "Smart Road Surface Monitoring with Privacy Preserved Scheme for Vehicle Crowd Sensing." Journal of Computational and Theoretical Nanoscience 16, no. 8 (August 1, 2019): 3204–10. http://dx.doi.org/10.1166/jctn.2019.8162.
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In the Modern years many varieties of solutions has been framed for transport infrastructure such as street view application, traffic scrutiny, shortest road path navigation and route discovery. The current requirements and most significant of transport infrastructure has been lead towards the monitoring of road surface condition. Many varieties of solutions have been generated with sensor technology in existing system. Because of this, most of the systems using sensors are getting trouble in existing method for analyzing the condition of road surface and also no awareness or warning for the people who travel for the first time. So that initially visual observe of every surface of the road for the particular areas has been analyzed for a superior solution. Observation can be done by taking site survey, street view applications and also getting suggestion from the highway engineers. Later every detail about the surface of the observed road will be updated with the help of crowd sensing and Global Positioning System (GPS) Vehicle based sensing technology frequently which provides the user-friendly transport services to the customer. In our work the intermediate server called Fog Node is proposed to update the genuine data about the surface of the road condition to the cloud server by applying the Light Weight Signcryption method. The best road condition path for the sensor based cars is to be notified when the car is nearer to the Road Side Unit (RSU) with the help of Global System for Mobile communication (GSM) and also the details will be provided for the client on demand. The implementation can be proved with our proposed method to reach the best path recover, less storage, power consumption and finding proper route discovery. Also, it will dispense on demand data for the road based customers through mobile application with privacy preserved technology.
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Peiris, Sujanie, Janneke Berecki-Gisolf, Bernard Chen, and Brian Fildes. "Road Trauma in Regional and Remote Australia and New Zealand in Preparedness for ADAS Technologies and Autonomous Vehicles." Sustainability 12, no. 11 (May 26, 2020): 4347. http://dx.doi.org/10.3390/su12114347.
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Achieving remote and rural road safety is a global challenge, exacerbated in Australia and New Zealand by expansive geographical variations and inconsistent population density. Consequently, there exists a rural-urban differential in road crash involvement in Australasia. New vehicle technologies are expected to minimise road trauma globally by performing optimally on high quality roads with predictable infrastructure. Anecdotally, however, Australasia’s regional and remote areas do not fit this profile. The aim of this study was to determine if new vehicle technologies are likely to reduce road trauma, particularly in regional and remote Australia and New Zealand. An extensive review was performed using publicly available data. Road trauma in regional and remote Australasia was found to be double that of urban regions, despite the population being approximately one third of that in urban areas. Fatalities in 100 km/h + speed zones were overrepresented, suggestive of poor speed limit settings. Despite new vehicle ownership in regional and remote Australasia being comparable to major cities, road infrastructure supportive of new vehicle technologies appear lacking, with only 1.3–42% of all Australian roads, and 67% of all New Zealand roads being fully sealed. With road quality in regional and remote areas being poorly mapped, the benefits of Advanced Driver-Assistance Systems (ADAS) technologies cannot be realised despite the fact new vehicles with these technologies are penetrating the fleet. Investments should be made into sealing and separating roads but more importantly, for mapping the road network to create a unified tracking system which quantifies readiness at a national level.
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Gameliak, Ihor, Andrij Dmytrychenko, and Ihor Vakarchuk. "Philosophy of applied reliability and safety of Ukraine new transport infrastructure." Electronic Scientific Journal Intellectualization of Logistics and Supply Chain Management #1 2020, no. 6 (April 2021): 23–36. http://dx.doi.org/10.46783/smart-scm/2021-6-2.
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Summarizes experience and identifies strategic directions of the new transport infrastructure; contained methodology of ensuring the development and implementation competitive projects and services of new transport infrastructure; case of competitive projects and services of new transport infrastructure is presented, taking into account legal and educational and research support. Systematization of terminology is the basis for use in the wording of projects and changes to laws and regulations regarding the requirements of reliability and safety of infrastructure facilities and further theory development and practice of infrastructure projects. The use and involvement domestic raw materials and road operators for network development of cement concrete roads in Ukraine from the southeast to the northwest will provide long-term, within 25-30 years, prospect of building this network, which is qualitative guarantee changes in employment, rural development and efficiency of the national economy. Smart Stop Point projects take into account the trends of modern philosophy in architecture and construction, local identity, ethnic styles and motifs, geographical and weather conditions, limitations caused by the COVID-19 pandemic, autonomy, energy efficiency, inclusion, urban connectivity, suburban and long-distance control systems. Proposed a new principles of scheduled repairs of hard coatings with different operation modes and operating conditions are breakthrough in the dual use of certain types materials, products and technologies, both civilian and military, and meets the interests of national security and defense of Ukraine. Designing schemes and urgent measures for the dispersion of transport and passenger flows in the event of illegal interference in the operation of infrastructure facilities are efficient, effective, safe, can be monitored and connected to urban, suburban and intercity control systems. A comprehensive system of monitoring and control reliability and safety of infrastructure facilities also provides continuous monitoring, assessment and changes in the condition of airfields and road surfaces. Training, retraining, raising and improving the skills of managers and specialists in reliability and safety in transport is an important step to ensure transport functioning road complex of Ukraine.
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Łukasik, Zbigniew, and Małgorzata Górska. "Probabilistic analysis of a virtual road traffic model." AUTOBUSY – Technika, Eksploatacja, Systemy Transportowe 19, no. 12 (December 31, 2018): 776–79. http://dx.doi.org/10.24136/atest.2018.496.
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Based on the road infrastructure model developed in the publication [4], having data obtained from sources - observation points - in [6], and transferred thanks to telecommunications techniques analyzed in [8], it was possible to reflect traffic components and its monitoring on the examined virtual reality area. Using the simulation method, the problem of road traffic was transformed into the analogical problem of monitoring the trajectory in an computer model. This article considers the system's analytical layer.
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Maryati, Sri, Tommy Firman, An Nisaa’ Siti Humaira, and Yovita Tisarda Febriani. "Benefit Distribution of Community-Based Infrastructure: Agricultural Roads in Indonesia." Sustainability 12, no. 5 (March 8, 2020): 2085. http://dx.doi.org/10.3390/su12052085.
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Infrastructure development is believed to provide economic benefits, but the distribution of these benefits is still a subject of discussion. Previous studies generally discussed the distribution of benefits of large-scale and top-down infrastructure. In contrast, this paper aims to explore the existence and distribution of the benefits of community-based infrastructure development. This study uses a case study approach with quantitative and qualitative methods. The study reveals that agricultural roads provide time saving and cost reduction. However, the benefits obtained by farmers vary depending on the location of agricultural land in relation to the road. Although the distribution of benefits differs, farmers do not perceive this as an injustice since the route of the road is determined by the farmer group. Moreover, the greater benefits received have to be compensated by certain amounts of contributions by each farmer in terms of land release. This study also reveals that the physical-environmental conditions of the road contribute to the variation of benefits. The results of this study provide an insight into the benefit distribution from small-scale and community-based infrastructure. Such community-based infrastructure development has been proven to be effective as a model for investing in local infrastructure development.
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Kussl, Sebastian, and Andreas Wald. "Smart Mobility and its Implications for Road Infrastructure Provision: A Systematic Literature Review." Sustainability 15, no. 1 (December 23, 2022): 210. http://dx.doi.org/10.3390/su15010210.
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Emerging smart mobility concepts suggest solutions for more effective and environmentally friendly transportation. Given their importance in enabling smart mobility, road infrastructure networks have received limited attention. Questions concerning the development of various isolated smart mobility solutions dominate the discourse, including only a few detached and unaligned implications towards road infrastructure provision. As a result, the development, operation, and functionality of road infrastructure networks are remarkably unchanged, and the deployment of smart mobility solutions remains tentative. The objective of this study was to investigate how road infrastructure must adapt to facilitate a smart mobility transition, not for a single solution but as a socio-technical system transition. As no compiled knowledge for this objective exists, a systematic literature review was performed to consolidate and inductively analyse the literature on smart mobility solutions. Based on the results, implications for road infrastructure provision were identified, and as a path forward, a conceptual model for the digital transformation of road infrastructure is presented. By using smart mobility as the antecedent for changes in road infrastructure provision, this paper contributes to an increased understanding of user-driven, industrial transformations and advances the current product/project view on digitalisation in infrastructure provision with broader value implications. The main contributions of this study are concrete pathways for road infrastructure provision that support smart mobility.
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Chapman, Lee, and Simon J. Bell. "High-Resolution Monitoring of Weather Impacts on Infrastructure Networks Using the Internet of Things." Bulletin of the American Meteorological Society 99, no. 6 (June 2018): 1147–54. http://dx.doi.org/10.1175/bams-d-17-0214.1.
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AbstractThe impacts of weather and climate on infrastructure are numerous: snow and ice on roads, railway buckling, leaves on the line, wind impacts on power cabling, etc. Advances in modeling mean that these impacts can now be predicted at a high resolution so that mitigation activities can be targeted at vulnerable sections of the infrastructure network.However, while high-resolution models have been in operational use for the last decade, in an environment of increasing litigation, practitioners remain nervous about making mitigation decisions solely based on model output. This means that the verification of forecasts is now needed on a scale previously not required, and it is only with this step that end users will become more open to using risk-based methods (e.g., decision support systems that enable selective salting for winter road maintenance where only the coldest sections of road are treated or localized rail speed restrictions in hot weather as opposed to the blanket restrictions currently used).However, existing monitoring techniques are simply not capable of producing this information. Traditional in situ measurements are too expensive to install in the numbers required and therefore lack the spatial resolution. Conversely, mobile measurements lack the temporal resolution to provide the full picture. This paper outlines how the emerging Internet of Things is starting to provide the enabling technology to saturate our infrastructure with low-cost sensors. In doing so, it will provide unprecedented monitoring of weather impacts as well as facilitating a new generation of products harnessing the benefits of high-resolution observations.
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Stewart, Christopher, Michele Lazzarini, Adrian Luna, and Sergio Albani. "Deep Learning with Open Data for Desert Road Mapping." Remote Sensing 12, no. 14 (July 15, 2020): 2274. http://dx.doi.org/10.3390/rs12142274.
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The availability of free and open data from Earth observation programmes such as Copernicus, and from collaborative projects such as Open Street Map (OSM), enables low cost artificial intelligence (AI) based monitoring applications. This creates opportunities, particularly in developing countries with scarce economic resources, for large–scale monitoring in remote regions. A significant portion of Earth’s surface comprises desert dune fields, where shifting sand affects infrastructure and hinders movement. A robust, cost–effective and scalable methodology is proposed for road detection and monitoring in regions covered by desert sand. The technique uses Copernicus Sentinel–1 synthetic aperture radar (SAR) satellite data as an input to a deep learning model based on the U–Net architecture for image segmentation. OSM data is used for model training. The method comprises two steps: The first involves processing time series of Sentinel–1 SAR interferometric wide swath (IW) acquisitions in the same geometry to produce multitemporal backscatter and coherence averages. These are divided into patches and matched with masks of OSM roads to form the training data, the quantity of which is increased through data augmentation. The second step includes the U–Net deep learning workflow. The methodology has been applied to three different dune fields in Africa and Asia. A performance evaluation through the calculation of the Jaccard similarity coefficient was carried out for each area, and ranges from 84% to 89% for the best available input. The rank distance, calculated from the completeness and correctness percentages, was also calculated and ranged from 75% to 80%. Over all areas there are more missed detections than false positives. In some cases, this was due to mixed infrastructure in the same resolution cell of the input SAR data. Drift sand and dune migration covering infrastructure is a concern in many desert regions, and broken segments in the resulting road detections are sometimes due to sand burial. The results also show that, in most cases, the Sentinel–1 vertical transmit–vertical receive (VV) backscatter averages alone constitute the best input to the U–Net model. The detection and monitoring of roads in desert areas are key concerns, particularly given a growing population increasingly on the move.
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Cafiso, Salvatore, Alessandro Di Graziano, Carmelo D'Agostino, Giuseppina Pappalardo, and Emanuele Delfino. "A new perspective in the road asset management with the use of advanced monitoring system & BIM." MATEC Web of Conferences 231 (2018): 01007. http://dx.doi.org/10.1051/matecconf/201823101007.
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The present paper reports different applications which have a common data source: Automatic Road Analyzer (ARAN) of the Transport Infrastructure Laboratory of the University of Catania. Data surveyed with ARAN were used to develop performance indicators of the road asset. A BIM model makes possible to improve the flexibility in information access and to merge data with the aim to allow a complete Road Asset Management (RAM) application in the same environment Data Collected and stored with high efficiency equipment allows to get high quality and detailed information of the road asset and offers the chance to create georeferenced database which can be used both for safety assessment and for the other RAM related applications. BIM provides a comprehensive approach involving the generation and management of transport infrastructure assets using 3D digital representations of their physical and functional characteristics allowing to produce ad hoc output for investigate in the same environment different parts of the RAM.
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Tao, Zhimin, Wei Quan, and Hua Wang. "Innovative Smart Road Stud Sensor Network Development for Real-Time Traffic Monitoring." Journal of Advanced Transportation 2022 (May 5, 2022): 1–9. http://dx.doi.org/10.1155/2022/8830276.
Full textAbstract:
Intelligent transportation infrastructure has gained significant research attention recently. In this paper, an innovative sensor network of smart road stud (SRS) is developed to enhance traffic detection infrastructure characterized by its functionality in traffic data collection, long/short range wireless data transmission, self-sustained power supply, and remote custom controlled lighting-based traffic guidance. Compared to the traditional traffic detectors and road studs, SRS nodes are installed on lane lines instead of lane center to enable the additional applications besides the detection function, such as traffic monitoring, congestion warning, routing guidance, and so on. SRS detects vehicles based on three-axis geomagnetic sensors. A vehicle detection algorithm is proposed correspondingly under different operation scenarios to count vehicles in two adjacent lanes. Its detecting accuracy can be further improved by a sensor network of multiple SRSs working cooperatively. Field test results show that the vehicle detection accuracy based on the SRS network is about 98% per lane, which is the same level as the commercial detector installed in center of lane, even under the non-standard driving behaviors such as crossing lane line. The high performance, value-added service, and low cost enable wide-range applications of SRS networks as part of intelligent traffic detection infrastructure.
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Yulian Setiawan, Muhammad Anshar Nur, and Tutung Nurdiyana. "Village Government Strategy In Implementation of Village Farming Road Infrastructure Development In Tanah Bumbu Regency, Indonesia." International Journal of Politic, Public Policy and Environmental Issues 2, no. 01 (April 30, 2022): 29–41. http://dx.doi.org/10.53622/ij3pei.v2i01.88.
Full textAbstract:
Strategy optimization of village government in the implementation of road infrastructure development of farming carried out in the village of Manurung District of Kusan Middle Tanah Bumbu which has carried out the authors conclude that it is less than optimal. This is because budgeting is not efficient in terms of where the development is carried out, and there is no role and contribution from the community in agricultural road infrastructure development activities both in planning, implementation, and supervision. This is the inability of the village apparatus to implement and manage government in the village in infrastructure development activities which are local government programs, there is no community empowerment in the ADD program which is a problem in optimizing the infrastructure development of the Manurung Village farm road. Supporting and inhibiting factors in carrying out the strategy in implementing farm road infrastructure development in Manurung Village, Kusan Tengah District, Tanah Bumbu Regency, it can be concluded that the supporting factors in the development of village infrastructure are participation and support from the community, adequate APBD funding to carry out development, as well as regulations given to villages to make managing their area easier. While the inhibiting factors for the development of village road infrastructure, it can be concluded that there are several things, namely firstly, the supervision and monitoring of infrastructure development have not been maximized, then the weather and rough terrain make the infrastructure development process difficult and take a long time, as well as construction materials that are increasingly expensive causing cost overruns. out of the calculation
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Menhas, Rashid, Shahid Mahmood, Papel Tanchangya, Muhammad Nabeel Safdar, and Safdar Hussain. "Sustainable Development under Belt and Road Initiative: A Case Study of China-Pakistan Economic Corridor’s Socio-Economic Impact on Pakistan." Sustainability 11, no. 21 (November 4, 2019): 6143. http://dx.doi.org/10.3390/su11216143.
Full textAbstract:
The restoration of the ancient Silk Road intends to reconnect China with Africa, the Middle East, and Europe through a railway network, airports, roads, seaports, and an optical fiber system. The Belt and Road Initiative (BRI) has three components. One Belt, One Road (OBOR) is based upon two parts of the BRI; the maritime Silk Road and the Silk Road economic belt. OBOR is based upon six economic corridors. The China-Pakistan Economic Corridor (CPEC) is the smartest corridor under OBOR, which passes only through Pakistan, and after completion, will provide a safe and cheap route for China to import oil and energy. CPEC is a multidimensional project under which much infrastructure development initiative has been started to improve the infrastructure and economic development of Pakistan. Infrastructure development is an essential requirement in economic growth, one which further leads to industrialization and is helpful in economic development. The present study was conducted in Pakistan and explored how infrastructure development under the CPEC is useful for the sustainable development of Pakistan, as well as which kind of infrastructure development projects have been included in the CPEC to improve the socio-economic paradigm of Pakistan. A sample of 500 respondents was selected through a multistage sampling technique from the two-node cities. A questionnaire survey was used to collect primary data. The results of the study show that the CPEC is a catalyst for Pakistan to improve its socio-economic conditions and to achieve sustainable development. The participants of the survey agreed that CPEC will improve the socio-economic paradigm of Pakistan and will be helpful in the achievement of sustainable development goals.
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Ranyal, Eshta, Ayan Sadhu, and Kamal Jain. "Road Condition Monitoring Using Smart Sensing and Artificial Intelligence: A Review." Sensors 22, no. 8 (April 15, 2022): 3044. http://dx.doi.org/10.3390/s22083044.
Full textAbstract:
Road condition monitoring (RCM) has been a demanding strategic research area in maintaining a large network of transport infrastructures. With advancements in computer vision and data mining techniques along with high computing resources, several innovative pavement distress evaluation systems have been developed in recent years. The majority of these technologies employ next-generation distributed sensors and vision-based artificial intelligence (AI) methodologies to evaluate, classify and localize pavement distresses using the measured data. This paper presents an exhaustive and systematic literature review of these technologies in RCM that have been published from 2017–2022 by utilizing next-generation sensors, including contact and noncontact measurements. The various methodologies and innovative contributions of the existing literature reviewed in this paper, together with their limitations, promise a futuristic insight for researchers and transport infrastructure owners. The decisive role played by smart sensors and data acquisition platforms, such as smartphones, drones, vehicles integrated with non-intrusive sensors, such as RGB, and thermal cameras, lasers and GPR sensors in the performance of the system are also highlighted. In addition to sensing, a discussion on the prevalent challenges in the development of AI technologies as well as potential areas for further exploration paves the way for an all-inclusive and well-directed futuristic research on RCM.