Journal articles on the topic 'Roads and traffic planning'
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1
Li, Lile, and Wei Liu. "Travel Time Prediction on Un-Monitored Roads: A Spatial Factorization Machine Based Approach (Student Abstract)." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 10 (April 3, 2020): 13855–56. http://dx.doi.org/10.1609/aaai.v34i10.7200.
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Real-time traffic monitoring is one of the most important factors for route planning and estimated time of arrival (ETA). Many major roads in large cities are installed with live traffic monitoring systems, inferring the current traffic congestion status and ETAs to other locations. However, there are also many other roads, especially small roads and paths, that are not monitored. Yet, live traffic status on such un-monitored small roads can play a non-negligible role in personalized route planning and re-routing when road incident happens. How to estimate the traffic status on such un-monitored roads is thus a valuable problem to be addressed. In this paper, we propose a model called Spatial Factorization Machines (SFM) to address this problem. A major advantage of the SFM model is that it incorporates physical distances and structures of road networks into the estimation of traffic status on un-monitored roads. Our experiments on real world traffic data demonstrate that the SFM model significantly outperforms other existing models on ETA of un-monitored roads.
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Xiong, F., P. S. Gong, Z. Q. Peng, and J. F. Fan. "Optimization of Urban Traffic Distribution Path Under Quick Response Demand." Open House International 43, no. 1 (March 1, 2018): 108–12. http://dx.doi.org/10.1108/ohi-01-2018-b0022.
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Under the background of the rapid development of e-commerce and information network, the demand for urban distribution is also changing; especially customers' demand for fast delivery of products is increasing. Based on this, the optimization of urban traffic distribution path was studied under the fast response demand. In this paper, the importance and theoretical basis of the design of urban traffic planning under rapid response demand were expounded; then, the urban traffic distribution path planning was designed, and the layout principle of urban traffic roads, the division of road levels and the planning and design of motor vehicle roads were analyzed; through the planning project of the traffic distribution path in a city, analysis of the planning on roadways, three-dimensional traffic paths was achieved.
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Zhu, Minqing, Zi Wang, Hongjun Cui, and Sheng Yao. "Rural Road Network Planning Based on 5G and Traffic Big Data." Journal of Advanced Transportation 2022 (March 12, 2022): 1–9. http://dx.doi.org/10.1155/2022/1991757.
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In order to adapt to the healthy development of China’s road network and the prosperity of the rural economy, rural roads are facing the need to continue to promote the construction of roads that reach deeper nodes. It is urgent to conduct in-depth and systematic research on the planning methods of China’s rural networked roads. A road network model oriented to rural road network planning is proposed. First, the traffic demand is predicted, and then remote sensing technology and computer technology are used to evaluate the technical performance of the rural road network. The experimental results show that the comprehensive evaluation index value is 0.8 by combining the weight of each index, and the planning scheme is comprehensively evaluated. The evaluation results show that the program better supports the local social and economic development.
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Zhu, Qigang, Yifan Liu, Ming Liu, Shuaishuai Zhang, Guangyang Chen, and Hao Meng. "Intelligent Planning and Research on Urban Traffic Congestion." Future Internet 13, no. 11 (November 8, 2021): 284. http://dx.doi.org/10.3390/fi13110284.
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For large and medium-sized cities, the planning and development of urban road networks may not keep pace with the growth of urban vehicles, resulting in traffic congestion on urban roads during peak hours. Take Jinan, a mid-sized city in China’s Shandong Province, for example. In view of the daily traffic jam of the city’s road traffic, through investigation and analysis, the existing problems of the road traffic are found out. Based on real-time, daily road traffic data, combined with the existing road network and the planned road network, the application of a road intelligent transportation system is proposed. Combined with the application of a road intelligent transportation system, this paper discusses the future development of urban road traffic and puts forward improvement suggestions for road traffic planning. This paper has reference value for city development, road network construction, the application of intelligent transportation systems, and road traffic planning.
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Yan, Longhao, Ping Wang, Jingwen Yang, Yu Hu, Yu Han, and Junfeng Yao. "Refined Path Planning for Emergency Rescue Vehicles on Congested Urban Arterial Roads via Reinforcement Learning Approach." Journal of Advanced Transportation 2021 (August 31, 2021): 1–12. http://dx.doi.org/10.1155/2021/8772688.
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Fast road emergency response can minimize the losses caused by traffic accidents. However, emergency rescue on urban arterial roads is faced with the high probability of congestion caused by accidents, which makes the planning of rescue path complicated. This paper proposes a refined path planning method for emergency rescue vehicles on congested urban arterial roads during traffic accidents. Firstly, a rescue path planning environment for emergency vehicles on congested urban arterial roads based on the Markov decision process is established, which focuses on the architecture of arterial roads, taking the traffic efficiency and vehicle queue length into consideration of path planning; then, the prioritized experience replay deep Q-network (PERDQN) reinforcement learning algorithm is used for path planning under different traffic control schemes. The proposed method is tested on the section of East Youyi Road in Xi’an, Shaanxi Province, China. The results show that compared with the traditional shortest path method, the rescue route planned by PERDQN reduces the arrival time to the accident site by 67.1%, and the queue length at upstream of the accident point is shortened by 16.3%, which shows that the proposed method is capable to plan the rescue path for emergency vehicles in urban arterial roads with congestion, shorten the arrival time, and reduce the vehicle queue length caused by accidents.
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Mendes, G. A., K. W. Axhausen, J. S. Andrade, and H. J. Herrmann. "A scenario planning approach for disasters on Swiss road network." International Journal of Modern Physics C 25, no. 11 (October 15, 2014): 1450067. http://dx.doi.org/10.1142/s0129183114500673.
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We study a vehicular traffic scenario on Swiss roads in an emergency situation, calculating how sequentially roads block due to excessive traffic load until global collapse (gridlock) occurs and in this way displays the fragilities of the system. We used a database from Bundesamt für Raumentwicklung which contains length and maximum allowed speed of all roads in Switzerland. The present work could be interesting for government agencies in planning and managing for emergency logistics for a country or a big city. The model used to generate the flux on the Swiss road network was proposed by Mendes et al. [Physica A 391, 362 (2012)]. It is based on the conservation of the number of vehicles and allows for an easy and fast way to follow the formation of traffic jams in large systems. We also analyze the difference between a nonlinear and a linear model and the distribution of fluxes on the Swiss road.
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Irawan, Bayu Budi, Yossyafra Yossyafra, and Darwizal Daoed. "PERENCANAAN SPESIFIKASI TEKNIS RUAS JALAN PROVINSI UNGGAN (KABUPATEN SIJUNJUNG)-PAMUSIAN (KABUPATEN TANAH DATAR)." Racic : Rab Construction Research 7, no. 2 (December 31, 2022): 128–39. http://dx.doi.org/10.36341/racic.v7i2.2805.
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The Unggan-Pamusian road is a road that connects Sijunjung and Tanah Datar Regencies. The West Sumatra Provincial Government intends to carry out the construction of the road segment. The purpose of this research is to plan the technical specifications for provincial roads, identify traffic conditions, forecast average daily traffic and plan the pavement thickness design. The method used is the Road Geometric Design Guidelines Number 13/P/BM/2021. The results of the technical planning specifications for provincial roads are adjusted to the standards. The traffic condition of the Unggan-Pamusian road segment is classified as low traffic with a description of the early stages of local roads and can be upgraded to collector roads. Forecasting results obtained average daily traffic of 3,166 vehicles (2021) and 7,482 vehicles (2046). Type of AC pavement with a thickness of AC-WC 40 mm, AC-BC4 60 mm, AC-BC or AC-Base 75 mm, CTB3 150 mm and class A aggregate foundation 150 mm.
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Dennehy, Emma, Luis Llaneza, and José Vicente López-Bao. "Contrasting wolf responses to different paved roads and traffic volume levels." Biodiversity and Conservation 30, no. 11 (July 13, 2021): 3133–50. http://dx.doi.org/10.1007/s10531-021-02239-y.
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AbstractIn some regions of the world, large carnivores, such as wolves, persist in landscapes with dense networks of paved roads. However, beyond the general impacts of roads on wildlife, we still lack information on carnivore responses to different types of roads and traffic volume levels. Using wolves in NW Spain as a case study, we show how wolves respond differently to paved road classes depending on road size, speed limit and traffic volume. All wolves evaluated (25 GPS collared wolves) crossed paved roads. Overall, during 3,915 sampling days, we recorded 29,859 wolf crossings. Wolf crossings of all paved road classes were recorded at a mean rate of 0.022 crossings/day/km (95% CI 0.016–0.027). Wolves crossed low speed and low traffic volume roads more frequently, and more often during the night, in order to lessen the chances of encountering traffic. We found mortality to be highest on roads with high speed and high traffic volume. How wolves interact with paved roads should be considered in landscape planning strategies in order to guarantee wolf long-term persistence in human-dominated landscapes. In our case, our results support an increasing focus on primary roads (class II) to identify segments of these roads where road mitigation efforts should be prioritised. Our study also highlights the importance of considering paved road classes when studying the impact of roads on wildlife.
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Setiabudi, I., and I. M. A. Hermawan. "Planning for alternative road development connecting East Balikpapan - North Balikpapan." IOP Conference Series: Earth and Environmental Science 879, no. 1 (October 1, 2021): 012017. http://dx.doi.org/10.1088/1755-1315/879/1/012017.
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Abstract Balikpapan City is one of the largest cities in the East Kalimantan region and a city that is developing quite rapidly. These developments include a high population number accompanied by a large number of new activity growths which create a considerable traffic pull around the city center. According to the 2012-2032 City Spatial Plan for Balikpapan City, the priority plan for road development is on Outer Ring Road III and other alternative roads which will become new activity centers in Karang Joang and Manggar sub-districts in Balikpapan City. The road network currently has the highest volume of 4288 pcu / hour with an average speed of 42 km / h and reaches a VCR of 0.8 which has 35 existing roads and 17 intersections. This study intends to improve traffic performance and aims to plan an alternative road network connecting East Balikpapan with North Balikpapan. Simulation analysis uses Visum software to produce the best conditions for handling traffic in Balikpapan City arteries, collectors and local roads where the current condition of the traveler has to go through the East, South, Central and North Balikpapan District network. The method used is the calculation of existing traffic performance and simulation to determine network volume, network speed, total distance and total travel time. The simulation results with the Visum model are the best conditions of traffic performance with an average volume of 762 pcu / hour, an average network speed of 42 km / hour, a total distance of 148487 km, and a total travel time of 3369 hours.
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Memon, Reena Majid, and Ravindar Kumar Khiani. "Traffic Congestion Issues, Perceptions, Experience and Satisfaction of Car Drivers/Owners on Urban Roads." Mehran University Research Journal of Engineering and Technology 39, no. 3 (July 1, 2020): 489–505. http://dx.doi.org/10.22581/muet1982.2003.04.
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Traffic congestion is a major issue of Asian megacities which causes the irritation, anger and frustrations among drivers and owners of vehicles during driving in these cities. This paper aims at understanding traffic congestion issues from the perception and experiences of car drivers and owners and their satisfaction level concerning accessibility of circulation within urban roads of Karachi. The issues addressed in this respect are road construction, traffic flow, road crossing, shopping malls along roads, traffic blockage due to VIP movement, congestion during school timing, animal presence on roads, traffic police behavior, marriage halls along the roads, peak hour traffic jams, traffic jams during sociopolitical and religious rallies, road disputes, traffic congestion due to young inexperienced drivers, alternate road availability and pedestrian bridges. The method of investigating these issues is through 42 questionnaire surveys with car drivers and car owners from June to October 2018 on urban roads of Karachi. The analysis of feedback from respondents showed that, more than 90% respondents were satisfied with construction of pedestrian bridges and annoyed with sociopolitical and religious rallies on main urban roads. More than 80% respondents were satisfied with marriage halls along the roads, felt congestion during peak hours and preferred alternate routes to go home. More than 70% agreed that, young and inexperienced drivers cause traffic congestion and felt unsatisfied and displeased with disputes on the streets among residents, traffic police and drivers. More than 60% respondents were satisfied with the road construction but annoyed with VIP protocol and felt congestion during school timings and quite uncomfortable while crossing the road. More than 50% respondents were unsatisfied with shopping malls on both sides of the road, presence of animals on main roads and behavior of traffic police during traffic jams. Finally, concerning traffic flow the respondents were equally divided in their perception. Thus this research presents a detailed perspective of people regarding traffic congestion issues in Karachi for the appropriate response by decision makers of urban transport planning and urban traffic management institutions in city.
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Cottell, M. N. T. "Planning for roads—Getting the traffic moving." Long Range Planning 25, no. 3 (June 1992): 70–78. http://dx.doi.org/10.1016/0024-6301(92)90371-8.
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Cottell, M. N. T. "Planning for roads—getting the traffic moving." Long Range Planning 26, no. 1 (February 1993): 156. http://dx.doi.org/10.1016/0024-6301(93)90334-c.
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Al-Bahr, Tareq M., Sitti Asmah Hassan, Othman Che Puan, Nordiana Mashros, and Nur Sabahiah Abdul Sukor. "Speed-Flow-Geometric Relationship for Urban Roads Network." Applied Sciences 12, no. 9 (April 22, 2022): 4231. http://dx.doi.org/10.3390/app12094231.
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Speed on the urban roads is significantly affected by the surrounding geometric and traffic parameters. Based on this fact, we ascertained the impact of the geometric and traffic parameters on the average travel speed of the urban roads network. Herein, 197 urban road segments in Johor (Malaysia) with diverse features were randomly selected. The average travel speed and volume of the traffic on these road segments were measured using the moving observer method (MOM). Meanwhile, these roads’ features were recorded via the direct visual inspection. Various geometric (density of the traffic calming speed, right-turn driveway, access, and right-turn) and cross-sectional (median, number of lanes, and side friction) parameters were considered. First, 14 multilinear models constructed via multilinear regression analysis were developed for traffic volume scenarios (in veh/h and pcu/h). Then, 10 models were adopted to evaluate the geometric parameters’ influence on the average travel speed for the selected roads. The results revealed a considerable impact of some geometric and traffic parameters on the average travel speed for the studied urban roads. Furthermore, the density of traffic calming speed, driveway, and intersection per 1 km of urban road segment one for each parameter was found to reduce the speed of the vehicles from 1.3 to 0.22 km/h. The combination of the road cross-section features such as median, number of lanes, and side friction strongly affected the observed speed variation. It is asserted that the developed model may facilitate the Malaysian urban roads network management to provide better traffic performance with higher mobility and safer roads design and planning, thereby offering a gateway toward sustainability.
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Naboureh, Feizizadeh, Naboureh, Bian, Blaschke, Ghorbanzadeh, and Moharrami. "Traffic Accident Spatial Simulation Modeling for Planning of Road Emergency Services." ISPRS International Journal of Geo-Information 8, no. 9 (August 25, 2019): 371. http://dx.doi.org/10.3390/ijgi8090371.
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The appropriate locations of road emergency stations (RESs) can help to decrease the impact of traffic accidents that cause around 50 million injuries per year worldwide. In this research, the appropriateness of existing RESs in the Khuzestan province, Iran, was assessed using an integrated fuzzy analytical hierarchy process (FAHP) and geographic information system (GIS) approach. The data used in this research were collected from different sources, including the department of roads, the department of health, the statistics organization, forensics, police centers, the surveying and geological department, remotely-sensed and global positioning system (GPS) data of accident high crash zones. On the basis of previous studies and the requirements of the Ministry of Health and Medical Education, as well as the department of roads of Iran for the location of RESs, nine criteria and 19 sub-criteria were adopted, including population, safety, environmental indicators, compatible area in RES, incompatible area in RES, type of road, accident high crash zones, traffic level and performance radius. The FAHP yielded the criteria weights and the ideal locations for establishing RESs using GIS analysis and aggregation functions. The resulting map matched the known road accident and high crash zones very well. The results indicated that the current RES stations are not distributed appropriately along the major roads of the Khuzestan province, and a re-arrangement is suggested. The finding of the present study can help decision-makers and authorities to achieve sustainable road safety in the case study area.
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GUNN, EZEKIEL O., and MESHACH O. OJILE. "ASSESSMENT OF VEHICULAR TRAFFIC CONGESTION IN YENAGOA, NIGERIA." WILBERFORCE JOURNAL OF THE SOCIAL SCIENCES 6, no. 1 (September 1, 2021): 203–25. http://dx.doi.org/10.36108/wjss/1202.60.0111.
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he aim of this paper is to assess vehicular traffic congestion in Yenagoa, Bayelsa State, Nigeria. Traffic congestion is akin to major cities of developed and developing countries, the bane of urban life. The gravity model provided the theoretical foundation for this study, while a survey design involving volumetric count of vehicles and administration of questionnaire to 400 road users along major roads in Yenagoa was also used. The immediate causes of vehicular traffic congestion along major roads and conflict points in Yenagoa are: poor state of the roads, road side trading/market, inadequate public mass transit vehicles, road capacity, and poor traffic signalization. Generally, the effects of vehicular traffic congestion on road users include road traffic crashes and accidents, exposure of commuters and pedestrians to ambient pollutants with attendant health implications, parking problems, effects on aesthetics of buildings and the environment and encouragement of street trading. The result of the regression model revealed that the extracted components explained 0.614 (61.4%) of influence on vehicular traffic congestion in Yenagoa at 0.05 significance level. This study recommends an efficient transport planning system, the pull and push measures of traffic management such as introduction of mass transit and encouragement of off-street parking at affordable price
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Zheng, Yi Nan, Hong Yun Yao, and Zheng Zhou. "Safety Evaluation and Countermeasure Research on Fringe Area." Applied Mechanics and Materials 97-98 (September 2011): 566–69. http://dx.doi.org/10.4028/www.scientific.net/amm.97-98.566.
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Noting that road structure and traffic condition in urban and rural area are clearly different from urban roads and highways, this article points out the main safety problems existing in fringe area through analysis of road traffic conditions, transportation characteristics and characteristics of different accidents in urban and rural existence, and as well puts forward the countermeasures from two aspects, namely traffic planning and management, to solve the problems of Chongqing fringe traffic.
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Nagrebelna, Liydmila, Olga Belenchuk, and Oleksii Petrashenko. "EFFECTIVE APPROACH TO DETECTING ROADS FOR PRIORITY PLANNING FOR ROAD SAFETY MEASURES." Avtoshliakhovyk Ukrayiny, no. 4 (260) ’ 2019 (December 28, 2019): 52–57. http://dx.doi.org/10.33868/0365-8392-2019-4-260-52-57.
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The basic approaches for identifying dangerous road sections for prioritizing road safety measures are outlined. The effectiveness of the result depends on how well the areas where the road safety measures need to be implemented are identified. Suggestions for identifying dangerous places on the roads according to the statistics of traffic accidents using the methods of probability theory are given. On the basis of the analysis of statistics on roads with different number of adventures, limit values of the admissible number of adventures on sections of roads of different length are established. It is proved that it is necessary to create a comprehensive approach to solving a complex problem – improving road safety. Оne of the important approaches for the definition of dangerous road sections according to the data of road accidents, which is proposed by the authors, is the method of detection of sections (places) of concentration of road accidents (black spots). The purpose of this article is to: introduce an approach in road safety management to reduce the number of road accidents and the severity of their consequences on Ukraine’s highways by first implementing measures to improve road conditions and improve road organization. The effectiveness of the result in reducing the number of traffic accidents depends on the areas so clearly identified that, in the first place, it is necessary to implement measures to improve road safety. That is why this approach was introduced in traffic safety management. The purposeful financing of measures, aimed primarily at eliminating such sites, will help to reduce the number of road accidents and the severity of their consequences. Keywords: road safety, methods of analysis, dangerous road sections, place of concentration of road accidents, black spots, road accident.
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Wang, Hongxiao, Qiang Li, and Sang-Bing Tsai. "Network Design Algorithm Implementation for Resilient Transportation System under Continuous Risk Perturbation with Big Data Analysis." Mathematical Problems in Engineering 2022 (January 4, 2022): 1–11. http://dx.doi.org/10.1155/2022/6032899.
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With the rapid economic development and urbanization process accelerating, motor vehicle ownership in large cities is increasing year by year; urban traffic congestion, parking difficulties, and other problems are becoming increasingly serious; in ordinary daily life, continuous risk of disturbance, having a flexible transportation system network is more able to alleviate daily congestion in the city, and the main thing about flexible transportation network is its algorithm. It is worth noting that congestion in many cities is generally reflected in the main roads, while many secondary roads and branch roads are underutilized, and the limited road resources in cities are not fully utilized. As an economic and effective road traffic management measure, one-way traffic can balance the spatial and temporal distribution of traffic pressure within the road network, make full use of the existing urban road network capacity, and solve the traffic congestion problem. Therefore, it is of great theoretical and practical significance to develop a reasonable and scientific one-way traffic scheme according to the characteristics of traffic operation in different regions. Based on the fixed demand model, the influence of traffic demand changes is further considered, the lower-level model is designed as an elastic demand traffic distribution model, the excess demand method is used to transform the elastic demand problem into an equivalent fixed demand problem based on the extended network, and the artificial bee colony algorithm based on risk perturbation is designed to solve the two-level planning model. The case study gives a one-way traffic organization optimization scheme that integrates three factors, namely, the average load degree overload limit of arterial roads, the detour coefficient, and the number of on-street parking spaces on feeder roads, and performs sensitivity analysis on the demand scaling factor.
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Yossyafra, Yossyafra, Nurhuda Fitri, Rahmat Punama Sidhi, Yosritzal Yosritzal, and Deni Irda Mazni. "Assessment of road traffic performance of the Tsunami evacuation road in Padang Municipality area based on the traffic volume simulation approach." E3S Web of Conferences 156 (2020): 04008. http://dx.doi.org/10.1051/e3sconf/202015604008.
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There are many cities on the west coast of the Sumatra, which are at high risk of the Tsunami disaster. Regional Regulations on Regional Spatial Planning for each City/ Regency have compiled disaster mitigation by constructing several evacuation roads. This study wants to illustrate: what are the volume of traffic generation and road performance, if there is a Tsunami disaster. The simulation is developed by predicting traffic volume based on parameters, population density, vehicle ownership, land use, and activities in the area around the road. The assessment was carried out on two tsunami evacuation roads in the city of Padang, West Sumatra Province. The results show that the highest traffic volume occurred in the period from 06.30 a.m until 3:00 p.m., during school activities. One of the roads will not be able to accommodate the volume of traffic during a disaster, due to significant traffic congestion. This study shows that: (1) the period of activity and land use are two main parameters, which must be considered in designing tsunami evacuation roads, (2) The degree of saturation ratio and the ratio between the capacity of sections of Tsunami evacuation routes can be proposed as a parameter for assessing the performance of Tsunami evacuation roads in urban areas.
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Yousaf, Anosha Arooj, Najia Saher, Faisal Shahzad, and Sara Fareed. "A Framework to Reduce Road Congestion by means of Data Analytics." Review of Education, Administration & LAW 4, no. 1 (March 31, 2021): 287–97. http://dx.doi.org/10.47067/real.v4i1.138.
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The density of vehicles on the road especially in urban areas keeps on increasing to large amount day by day. Especially during the peak hours of the day, large amount of people wastes much of their time in traffic signals. Not only they waste energy by burning excess fuel and releasing CO2 emissions in the environment as well as their time and money. An idea has been proposed to monitor the traffic congestion by means of data analytics on image data and solve the critical traffic congestion issue. The CCTV or surveillance cameras installed at the top points on the roads acts as a medium to provide image data as an input to analyze road traffic congestion by counting the number of vehicles under specified interval of time. Monitoring of traffic congestion using image processing techniques is very useful for the future urban road planning such as: 1) if there is a need to make the road wider, 2) if there is a need to add more lanes on the road, 3) if there is need to make flyover or a bridge to control the traffic on the roads. It will help municipalities to structure and expansion of the roads.
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Subotić, Marko, Edis Softić, Veljko Radičević, and Ana Bonić. "Modeling of Operating Speeds as a Function of Longitudinal Gradient in Local Conditions on Two-Lane Roads." Mechatronics and Intelligent Transportation Systems 1, no. 1 (November 5, 2022): 24–34. http://dx.doi.org/10.56578/mits010104.
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The operating speed is the average value of the speed of traffic flow under normal conditions, i.e., the conditions of mutual interference of traffic participants. The operating speed serves as a gauge for how well a given roadway is performing under the applicable traffic conditions. All key decisions in the management of the growth and utilization of a road network, including planning, designing, evaluating, and implementing road projects, depend on accurate measures of capacity and level of service. This paper aims to develop a recommended model for operating speed on two-lane roads under local conditions by analyzing the operating speeds of the traffic flow on representative sections of such roads. Through the modeling process, the values of the 85th percentile of the operating speed were determined, and compared with relevant studies. The results show that the authors have successfully modeled operating speeds as a function of longitudinal gradient in local conditions on two-lane roads.
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Lee, EunSu, Debananda Chakraborty, and Melanie McDonald. "Predicting Oil Production Sites for Planning Road Infrastructure: Trip Generation Using SIR Epidemic Model." Infrastructures 6, no. 2 (January 21, 2021): 15. http://dx.doi.org/10.3390/infrastructures6020015.
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Drilling activity produces a significant amount of road traffic through unpaved and paved local roads. Because oil production is an important contributor to the local economy in the state of North Dakota, the state and local transportation agencies make efforts to support local energy logistics through the expansion and good repair and maintenance of transportation infrastructure. As part of this effort, it is important to build new roads and bridges, maintain existing road pavement and non-marked road surface conditions, and improve bridge and other transportation infrastructure. Therefore, the purpose of this study is to review previous oil location prediction models and propose a novel geospatial model to predict drilling locations which have a significant impact on local roads, to verify and provide a better prediction model. Then, this study proposes a SIR (susceptible–infected–recovered) epidemic model to predict oil drilling locations which are traffic generators. The simulation has been done on the historical data from 1980 to 2015. The study found that the best fit parameters of β (contact rate) and μ (recovery rate) were estimated by using a dataset of historical oil wells. The study found that the SIR epidemic model can be applied to predict the locations of oil wells. The proposed model can be used to predict other drilling locations and can assist with traffic, road conditions, and other related issues, which is a much needed predictive model that is key in transportation planning and pavement design and maintenance.
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Onuigbo, I. C., T. Adewuyi, J. O. Odumosu, and G. A. Oluibukun. "Applications of Surveying and Geoinformatics for Planning New Routes to Solve Traffic Congestion in part of Minna Metropolis (Kpakungu, a case study)." March 2019 3, no. 1 (March 2019): 149–60. http://dx.doi.org/10.36263/nijest.2019.01.0105.
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The volume of traffic generated by land-use pattern varies during different periods of the day but there is usually a predictable pattern of such traffic volumes. Most often, the structure of urban land-use fails to provide easy and convenient traffic movement, which in the case of the study area is usually that of vehicles and pedestrian traffic. The fact is that Minna is presently experiencing rapid urban growth. Both the authorities and citizens seem to simply ignore this and its impact on human existence. The research is based on Road Traffic Network Analysis in Minna, to develop a road network map and determine the causes of Traffic Congestion in Kpakungu specifically. Quickbird satellite imagery was used in analyzing and mapping out the existing road network within the study area. Field survey aspects involving measuring of roads, traffic count, coordinates captured were also undertaken. It was discovered that the causes of the traffic pressure in the study area was as a result of the relocation of Federal University of Technology, Minna to its permanent site in Gidan Kwanu and the relocation of National Examination Council(NECO) Headquarter. Majority of the traffic pressure in the area were as a result of vehicles coming from Maikunkele, Bosso, Maitumbi, Minna central, Dutsen Kura, Chanchaga, Tunga, Sahuka-kahuta and BarikinSale going to Bida, Gidan-Kwanu or NECO office. It was concluded that alternative roads should be provided for vehicle diversion to limit the congestion of traffic on the road.
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Salisu, Umar Obafemi, and Olukayode O. Oyesiku. "Traffic Survey Analysis: Implications for Road Transport Planning In Nigeria." LOGI – Scientific Journal on Transport and Logistics 11, no. 2 (November 1, 2020): 12–22. http://dx.doi.org/10.2478/logi-2020-0011.
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AbstractEfficient traffic survey analysis is a catalyst for achieving an efficient and advanced transport planning and sustainable urban development. Unfortunately, the obvious decline in the traffic survey on Nigerian urban roads has left the road transport system to be handicap of traffic data, quality service deliveries and characterized by traffic-related quagmires with devastating socio-economic consequences including congestion, crime and crash incidences. This paper examined traffic survey analysis on major highways in Ogun State, Nigeria using manual traffic count method for estimation of traffic volume and flow pattern. The traffic data gathered were presented and analyzed using descriptive and inferential (ANOVA and Student ‘t’ test) techniques to determine variations in vehicular traffic volume and flow situation (inbound and outbound). Findings revealed that Car/SUV is the most dominant traffic relative to others. Meanwhile, ANOVA results show significant variation in traffic volume on the selected highways (p. value < 0.05), while, the Student ‘t’ test shows no significant difference between traffic inbound and outbound. Findings also revealed that the physical condition of the highways is relatively poor. Based on these findings, the study recommended improvement measures and strategies to curtail traffic-related issues towards achieving efficient, safe, and quality road transport planning in Nigeria.
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Popovych, Natalia, Olha Belenchuk, Tetyana Bondar, and Yevhen Tepliuk. "DETERMINATION OF THE ROAD SAFETY RATING FOR SELECTING THE PRIORITY OF CARRYING OUT THE ROAD SAFETY INSPECTION." Dorogi i mosti 2022, no. 25 (March 17, 2022): 222–30. http://dx.doi.org/10.36100/dorogimosti2022.25.222.
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Abstract Introduction. Compared to European countries, the level of road safety in Ukraine is extremely unsatisfactory due to high mortality and road traffic injuries. Improving road safety is one of the important social problems of our time, which is associated with the preservation of human life and health. Problem statement. The problem of road safety in Ukraine is well visible due to the number of dead and injured people on the roads. Road accidents cause huge social losses for citizens and place a heavy burden on the health care system and the economy as a whole. Reducing injuries from road accidents and saving people’s lives is one of the most important tasks for our country. Purpose. In the article the evaluation of safety level on roads of national importance will be conducted (according to certain indicators), which allows to make a conclusion about the compliance of the road network or individual sections of roads with traffic conditions and, accordingly, to decide on planning and prioritization of traffic safety measures. Materials and methods. The study used the method of statistical data processing for the analysis of roads by safety level. Results. The rating of highways according to the level of safety has been established to determine the priority of the road safety inspection in conditions of limited funding. Conclusions. According to the value of the weighted average coefficient of accident rate and severity of consequences of road accidents, it is possible to draw a conclusion about the general level of road safety. This allows to assess the level of safety on the road network as a whole in Ukraine and within a particular region, which helps to develop and implement measures to improve traffic safety on the most dangerous sections of roads. Key words: road, accident, road safety, traffic accidents, dead, road network rating, safety level, injured.
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Hanumappa, Devaraj, Raviraj H. Mulangi, and Nityanand S. Kudachimath. "Traffic Characteristics Evaluation and Traffic Management Measures: A Case study of Dharwad City." Open Transportation Journal 12, no. 1 (August 31, 2018): 258–72. http://dx.doi.org/10.2174/1874447801812010258.
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Traffic problems in the urban areas are increasing at a rapid rate. Engineers, planners or the policymakers are having a tough time in dealing with their multiple constraints for getting the desired solution. Some of the main transportation planning problems are mixed traffic plying on the roads, inadequate parking areas, increasing number of vehicles and road users, the unbalanced pattern of land use with obsolete road system, increasing number of road facilities and environmental pollution. Since in India most of the cities are unplanned, we are only left with an option management of existing infrastructure. In this paper, one such case study is presented in which a detailed traffic management for the city of Dharwad is carried out.
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Kumari, R. Sandhya, and Ashok D. Hanjagi. "An analysis of traffic congestion zones along Mysore road, Bangalore." Geo Eye 7, no. 2 (December 15, 2018): 4–6. http://dx.doi.org/10.53989/bu.ge.v7i2.2.
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The term traffic congestion means the stumbling block of traffic paths by lined up vehicles. Bangalore roads are well versed with the traffic problems especially Congestion. This research paper in particular discusses the traffic congestion zones identified along the Mysore road of Bangalore. The parameters deployed to identify these zones being the merging of multiple traffic streams, bottlenecks, etc. The findings of the research show that the identified congestion zones lack proper planning, and thus suitable suggestions are being listed out to ease the traffic congestion problems namely road extension, construction of skywalk or underpass near junctions wherein existence of traffic signals results in Congestion. Keywords: Traffic congestion; bottlenecks; skywalks; underpass
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Hsieh, Yi-Chih, and Peng-Sheng You. "Evolutionary artificial intelligence algorithms for the one-way road orientation planning problem with multiple venues: An example of evacuation planning in Taiwan." Science Progress 104, no. 3_suppl (July 2021): 003685042110632. http://dx.doi.org/10.1177/00368504211063258.
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Introduction: In large-scale events such as concerts and sports competitions, participants often leave the venue at the same time to return to their respective destinations. Improper traffic planning and traffic light operation usually lead to traffic congestion and road chaos near the sites. Rapid evacuation of participants has become an important issue. Objectives: In this work, a one-way road orientation planning problem with multiple venues is studied in which all roads near the venues are to be scheduled into a one-way orientation with strong connectivity to increase the evacuation efficiency of participants. Methods: In accordance with Robbins’ theorem and a random sequence of integers, an encoding scheme based on module operator is presented to construct a strongly connected graph and plan a one-way orientation for all roads. The proposed encoding scheme is further embedded into four artificial intelligence approaches, namely, grey wolf optimization, immune algorithm, genetic algorithm, and particle swarm optimization, to solve the one-way road orientation planning problem such that the total distance of all vehicles from venues to their destinations is minimized. Results: Numerical results of test problems with multiple venues in Taiwan are provided and analyzed. As shown, all four algorithms can obtain the best solution for the test problems. Conclusions: The new presented encoding scheme with four algorithms can be used to effectively solve the one-way road orientation planning problem for the evacuation of participants. Moreover, grey wolf optimization is superior to the other three algorithms and particle swarm optimization is faster than the other three algorithms.
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Burlacu, Alina, Mihai Dicu, and Valentin Anton. "Traffic Lights on Consecutive Intersections and Pedestrian Crossings Along Linear Settlements Located on National Roads." Romanian Journal of Transport Infrastructure 1, no. 1 (December 1, 2012): 1–9. http://dx.doi.org/10.1515/rjti-2015-0001.
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Abstract In Romania, with time, settlements located along the main roads have developed and transformed into linear towns, with significant local and connection traffic, important administrative, economic, commercial and touristic activities concentrated in the central area, as well as pedestrian traffic of over 200 pedestrians per hour in the main pedestrian crossings on the route. The object of the present study is made by a series of junctions situated on National Road 1 in Busteni town, on a dangerous road sector. For this study, traffic measurements, simulations and suggestions for improving the existing situation were made. Based on the simulated traffic flows, there were performed capacity analysis with PTV Vissim and Traficware Synchro softwares, and were developed appropriate planning solutions for the intersections, resulting in tables with extracted performance indicators based on micro simulation of the traffic values. Also planning solutions for horizontal design and proposals for traffic lights were made for junctions that can not operate under priority traffic on one direction or which are presenting traffic safety risk. Based on the traffic data, it was taken in consideration the necessity to make planning proposals and to develop design solutions immediately applicable, with minimum intervention. Solutions will refer to the geometric planning of the intersections, but with new plans and timings for traffic lights, including proposals for new equipment; regulating the traffic flow: development/ refurbishment of intersections and pedestrian crossings; optimization of routing programs in order to achieve a higher level of service and more efficient traffic control indicators; segregation of pedestrian movements by vehicles traffic, implementation of physical devices to lock / channel the traffic.
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O, Lanovoy, and Vyhovska I. "METHODS FOR ASSESSING CONDITIONS FOR CONTINUOUS, SAFE AND CONVENIENT TRAFFIC FLOWS ON ROADS." National Transport University Bulletin 1, no. 51 (2022): 248–59. http://dx.doi.org/10.33744/2308-6645-2022-1-51-248-259.
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The article considers methods for assessing the conditions for continuous, safe and convenient movement of traffic flows by road. The object of research is public roads. The price of ensuring the conditions of continuous, safe and convenient movement of public roads of Ukraine should be based on general patterns of development of society and the country's economy, taking into account the financial and tax policy of the state, the specifics of the road economy, speed, density and intensity of traffic – the main components of road productivity, cost and terms of construction and costs for maintenance and repair. roads, demand for road traffic, other socio-economic indicators, including material losses from road accidents (accidents), as well as the severity of their consequences. The developed methods of assessing the conditions for continuous, safe and convenient traffic on highways establish the priority of planning and implementation of road works aimed at ensuring transport accessibility of different territories of Ukraine, as well as improving safety and improving road convenience 259 through extraordinary, priority and regular improvement of road conditions on those sections of the road network that do not meet the requirements of traffic flows, as well as to provide further development of the road network through the improvement of their transport and operational condition to meet the demand of users for their movement. Improving road conditions both in the most dangerous areas and on highways in general, leads not only to a decrease in the number of accidents and their consequences, but also increases the level of convenience of traffic flows, which is beneficial for the country's economy and society as a whole. KEYWORDS: ROAD TRANSPORT TREAT, TRANSPORT NETWORK, TRAFFIC FLOW
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Yossyafra, Nurhuda Fitri, Rahmat Purnama Sidhi, and Marlinda. "Assessment of tsunami evacuation road performance." E3S Web of Conferences 331 (2021): 06005. http://dx.doi.org/10.1051/e3sconf/202133106005.
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A series of disasters, from the 2004 Aceh Tsunami to the 2009 Padang Earthquake, has changed the paradigm of urban development in coastal areas in Indonesia. District or City Regional Regulations concerning Regional Spatial Planning finally oblige disaster mitigation by constructing evacuation roads. The attraction of the Tsunami Evacuation Road (TES) which was built with a relatively wide size in the city, makes the road a favourite route for motorists. The increased vehicular traffic also triggered the addition of the number of new commercial buildings along the road. The Indonesian Road Capacity Manual 1997 for urban roads is used as a reference in the analysis of the service performance of these road sections. The relatively rapid increase in traffic volume and side-road disturbances have resulted in a relative decline in road performance in a short period. The active role of the government in minimizing body side disturbances, by maximizing the implementation of traffic management and control of land-use changes are options.
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Ibrayev, K., A. Ibrayev, D. Kapskiy, Y. Kot, A. Rybinskiy, and S. Bogdanovich. "Analysis of the State of the Road Traffic Safety in the Republic of Kazakhstan." Science & Technique 18, no. 6 (December 5, 2019): 482–89. http://dx.doi.org/10.21122/2227-1031-2019-18-6-482-489.
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The article presents the results of the study of the road traffic safety on the automobile roads of the Republic of Kazakhstan. We performed the analysis of the main indicators, specifying the state of the road traffic safety on the automobile roads of the republican significance of the Republic of Kazakhstan. In many regulatory acts, such as “The Priority Action Plan for Improving the Road Traffic Safety of the Republic of Kazakhstan for 2017–2020”, developed with the support of the Asian Development Bank, and in the “National Concept of Road Traffic Safety” project as well , developed by the Interdepartmental Research Institute called “The Academy of Law Enforcement Agencies” of the General Prosecutor’s Office of the Republic of Kazakhstan, the urgent need to improve road traffic safety is clearly pointed. At the same time, it is necessary to have the information about the extent of the existing problem in the field of road traffic safety, which is ensured by the constant consideration and analysis of the statistical indicators, as well as by planning appropriate measures aimed at correcting the situation and achieving planned indicators in the framework of, for example, the national concept of road traffic safety. Currently, statistics on road traffic accidents, occurring in Kazakhstan, are published by the Committee on Statistics of the Republic of Kazakhstan and the Committee on Legal Statistics and Special Accounting. However in the current situation, this is not enough, especially since the ARC MIID of the Republic of Kazakhstan outlined the program of actions aimed at eliminating the existing shortcomings in the field of the road traffic safety and significant improving its indicators. The analytical investigation of the status of the road traffic safety on the roads of the Republic of Kazakhstan was carried out. This will become a kind of starting point in the consistent work in this direction, which will provide the interested parties, first of all the experts, with the high-quality and reliable information about the main figures, characterizing the state of safety of the road users. Based on objective accident data, it is possible to take the effective measures aimed at improving the situation on the roads of the Republic of Kazakhstan.
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Lu, Yuan, Shengyong Yao, and Yifeng Yao. "Research on the Intelligent Assignment Model of Urban Traffic Planning Based on Optimal Path Optimization Algorithm." Scientific Programming 2022 (January 13, 2022): 1–7. http://dx.doi.org/10.1155/2022/3002923.
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Congestion and complexity in the field of highway transportation have risen steadily in recent years, particularly because the growth rate of vehicles has far outpaced the growth rate of roads and other transportation facilities. To ensure smooth traffic, reduce traffic congestion, improve road safety, and reduce the negative impact of air pollution on the environment, an increasing number of traffic management departments are turning to new scientifically developed technology. The urban road traffic is simulated by nodes and sidelines in this study, which is combined with graph theory, and the information of real-time changes of road traffic is added to display and calculate the relevant data and parameters in the road. On this foundation, the dynamic path optimization algorithm model is discussed in the context of high informationization. Although the improved algorithm’s optimal path may not be the conventional shortest path, its actual travel time is the shortest, which is more in line with users’ actual travel needs to a large extent.
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Ridho, Muhammad, Yosef Cahyo Setianto Poernomo, Agata Iwan Candra, and Fajar Romadhon. "Meningkatkan Kualitas Pelayanan Jalan Raya Plandaan – Boro Tulungagung Menggunakan Perkerasan Kombinasi Geotextile." Jurnal Manajemen Teknologi & Teknik Sipil 4, no. 2 (October 31, 2021): 144. http://dx.doi.org/10.30737/jurmateks.v4i2.2057.
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Roads as a means of transportation have an essential role in supporting human activities. One of the developments in road construction is the application of geotextiles in road combination pavements. Geotextile itself is often found in construction planning, especially in soil stabilization. The plandaan – boro Tulungagung road section is indicated by the type of silt as deep as 1.2 meters so that improvements are needed to support the quality of road construction. The purpose of this research is to plan road pavement with geotextiles on the Plandaan to boro roads. The geotextile used is a woven geogrid geotextile. The method used in planning is the Bina marga method of the 2017 Road Pavement Design Manual. The data used include technical data, traffic data, and California Bearing Ratio (CBR). The planning includes traffic design, pavement thickness calculations, and volume calculations. The planning results will be HMA – WC pavement covering an area of 4,200 m, with K225 concrete pavement covering an area of 8,400 m. Class Bﬞ Aggregate Pavement covering an area of 10,500 m using a geotextile layer requires 51,000 m² so that these results can be used as a reference in the repair or improvement of the Plandaan - boro Tulungagung road.
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Abiansyah, Lutfi, and Andri Irfan Rifai. "Analysis Traffic Volume of Rigid Pavement Damage on Roads Badami Karawang." Journal of World Conference (JWC) 2, no. 2 (March 31, 2020): 190–99. http://dx.doi.org/10.29138/prd.v2i2.221.
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The road was a means of land transport is very important to the social relations and economic goods and services, and with a population that is increasing in every year to year, increasing the number of vehicles passing on the road that there is, therefore, in need planning a safe way according to the function, volume, and nature of traffic. Road repairs cost a lot and this action is felt not quite right because remedies can not survive by age plans and in kutif of IDN Times in 2019 that the condition damages the highway in the district of Karawang based on data from the Department of Public Works and Spatial Planning (PUPR) Khanewal district, along with the road status 1937.53 kilometers of district roads in poor condition. (IDN Times, 2019). This study was conducted to assess how much influence the volume of vehicles to the damage occurred on roads Badami karawang at STA 0 + 000-0 + 500 and STA 2 + 250-2 + 750, to examine the above problems by analyzing data from LHR and road damage the method of Highways, then further by looking at the correlation between the volume of vehicles on the road destruction by using SPSS and to increase the strength of rigid pavement using cement concrete road pavement planning 2003 is an additional layer (overlay) using the rigid pavement. From the analysis and discussion get Simultaneous Effect Hypothesis Test results that the Sig. (0,000) <α (0.05) and f count (35.671)> F table (3.89) H0 is rejected. It can be concluded that the simultaneous effect of the Light Vehicle Road damage of 33.8%, the simultaneous effect of the Heavy Vehicle Road damage amounted to 47.7%, Motorcycles simultaneous effect on road damage by 12.1% and the simultaneous effect of Motor Vehicles not to road damage by 14.2%, the result of the identification of the type and class of road damage indicates that the need for administration of additional layer (overlay) as a treatment for damage to roads, based on the analysis of the design used road repair method with a design life of 10 years, namely: (Overlay) Rigid Pavement (Rigid Pavement) as thick as 18 cm .and of analysts earn fees at cost (overlay) Rigid Pavement (Rigid Pavement) Rp. 9,114,626,20 / segments.
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Sharma, Bimala, Hae Nam, Wanglin Yan, and Ha Kim. "Barriers and Enabling Factors Affecting Satisfaction and Safety Perception with Use of Bicycle Roads in Seoul, South Korea." International Journal of Environmental Research and Public Health 16, no. 5 (March 4, 2019): 773. http://dx.doi.org/10.3390/ijerph16050773.
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Cycling has proven to be an important strategy in decreasing the risk of non-communicable diseases. This study aimed to discover barriers and enabling factors influencing satisfaction and safety perceptions towards the use of bicycle roads in the Seoul metropolitan area, South Korea. A cross-sectional survey of 190 youth and adult individuals was conducted. Sex, age, purpose of bicycle use, perceived safety, availability of facilities, road gradient, road width, and traffic on the bicycle road were associated with cycling regularity. Multivariate regression analysis showed that the sufficiency of bicycle parking space, moderate slope, and enough bicycle signs were significant enabling factors for satisfaction with the use of bicycle roads. Narrow bicycle roads were found to be a barrier to satisfaction with the use of bicycle roads. Moderate slope, enough bicycle signs, and enough maintenance facilities around bike roads were found to be enabling factors in the perceived safety of the use of bicycle roads, whereas traffic on the side of the bicycle road was found to be a barrier to perceived safety. Based on these findings, we conclude that healthy cities should promote cycling behavior encouraging enabling factors and initiating attempts to improve the factors that act as barriers through urban planning.
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Holeček, Milan. "The Isochronal Map of Individual Road Traffic in the Czech Socialist Republic." Geografie 92, no. 4 (1987): 256–62. http://dx.doi.org/10.37040/geografie1987092040256.
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The paper treats of the method of compilation of an isochronal map depicting the individual motor-car traffic, the irregular bus traffic and the long-distance traffic using the average speed fixed for the four categories of roads and speedways. The isochronal map showing the state of the road network in 1985 is completed with isochrones depicting the anticipated state od road infrastructure in 2010.
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Čabarkapa, Milenko. "Inclusive road infrastructure safety management in the settlement: An approach to improving the safety of vulnerable road users." Tehnika 75, no. 6 (2020): 777–81. http://dx.doi.org/10.5937/tehnika2006777c.
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In the last ten years, there has been a stabilization of traffic fatalities on the roads of the world. At the same time, the death toll of persons in the armor of vehicles was reduced, and the death toll of persons outside the armor of vehicles-vulnerable road users continued to grow. The most endangered are motorcyclists, then pedestrians and finally cyclists, both in developed countries of the European Union and in underdeveloped and developing countries. Lagging behind in reducing the fatalities of vulnerable road users requires innovation in research and the creation and implementation of new road safety management policies. In this aspect, inclusive road infrastructure safety management in the settlement can be a paradigm for the introduction and implementation of protection of vulnerable road users, persons with reduced mobility and persons with disabilities, through procedures to control road safety in the settlement, at all stages of the road life cycle: planning, design, construction and exploitation. The content of inclusive road infrastructure safety management in the settlement should include all areas of activity and all elements of the roads of the settlement, the improvement of which can raise the level of traffic safety of all users, so that the roads of the settlement are equally safe for all road users. At the same time, the risk of fatal traffic accidents on the roads of the settlement is indirectly exponentially related to the scope of the content of inclusive road infrastructure safety management in the settlement.
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Moll, Sara, Griselda López, and Alfredo García. "Analysis of the Influence of Sport Cyclists on Narrow Two-Lane Rural Roads Using Instrumented Bicycles and Microsimulation." Sustainability 13, no. 3 (January 25, 2021): 1235. http://dx.doi.org/10.3390/su13031235.
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It is frequent to see cyclists on Spanish two-lane rural roads, both riding individually and in groups. However, these roads were designed only for motorized vehicles, most of them having a narrow section with a null or impassable shoulder. Currently, drivers and cyclists have to share roads and interact, affecting both safety and traffic operation. The possibility of overtaking offers an improvement in traffic operation, however on narrow roads it can be difficult, meaning a greater invasion of the opposite lane thus creating more dangerous situations and implying a higher overtaking duration. To analyze the phenomenon, field data from instrumented bicycles and naturalistic videos were collected, then some performance measures to characterize safety and traffic operation were obtained. To increase the number of overtaking manoeuvres and performance measures obtained from observations, microsimulation has been used by adapting a model to include cyclists and their interaction with motorized vehicles. The traffic microsimulator was calibrated and validated with field data. The results show that cycle traffic presence decreases motorized vehicle average travel speed and increases percent followers and delays. Microsimulation can be used to study other traffic scenarios and can help road administrations to safely and efficiently integrate cyclists to vehicular traffic on rural roads.
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Shi, Zhenwu, Zifeng Yang, and Jie Liu. "Assessing the Dynamic Resilience of Local Roads: A Case Study of Flooding in Wuhan, China." Journal of Advanced Transportation 2022 (March 29, 2022): 1–15. http://dx.doi.org/10.1155/2022/7303346.
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This study proposed a modified metric inspired by the well-applied “resilience-triangle” framework to integrate the resilience concept within the traffic speed. Firstly, for setting the evolving normal functionality, this study added the concepts of robustness loss and rapidity to characterize and compare the recovery processes of local roads and assess the corresponding resilience under different traffic operation conditions. Secondly, these different evolving resilience patterns provide a quantitative benchmark for detecting the links between resilience and traffic operating conditions and exploring its impact on total resilience. Finally, this study simulated and compared the dynamic evolution of the total resilience of local roads, which accurately captured the weak and poorly resilient road locations. Our findings indicated that the proposed metric was quite efficient and accurate in assisting stakeholders to prioritize the transport planning and the retrofit projects of some specific local roads, which could improve the resilience of overall transport system significantly.
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Brindle, Ray. "ROADS AND TRAFFIC IN LIVING ENVIRONMENTS." Australian Planner 27, no. 3 (September 1989): 5. http://dx.doi.org/10.1080/07293682.1989.9657425.
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Bartuska, Ladislav, Jiri Hanzl, and Jan Lizbetin. "Urban Traffic Detectors Data Mining for Determination of Variations in Traffic Volumes." Archives of Automotive Engineering – Archiwum Motoryzacji 90, no. 4 (January 11, 2021): 15–31. http://dx.doi.org/10.14669/am.vol90.art2.
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This paper analyses road traffic volumes in the urban environment for the purpose of traffic planning and creation of traffic models. For modelling traffic in a certain area, the initial information about transport demand and distribution in given area is required. The demand for transport is further re-distributed to the transport network and measured against the current road traffic volumes / intensity of traffic. Traffic volumes over time are characterized by various periodic and non-periodic influences (variations). By studying these variations, the tools can be specified for making the final estimate of traffic volumes for a specific time period, a specific type of road or specific vehicle category, and for improving the traffic models for a specific area. In this paper, the authors study time variations in traffic volumes using the data obtained from vehicle detectors for monitoring traffic located on roads in the city of Ceske Budejovice, the Czech Republic.
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Sarkar, Sheila, A. A. Jan Nederveen, and Albert Pols. "Renewed Commitment to Traffic Calming for Pedestrian Safety." Transportation Research Record: Journal of the Transportation Research Board 1578, no. 1 (January 1997): 11–19. http://dx.doi.org/10.3141/1578-02.
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Success of road design depends to a large extent on how safe it is for different users. Unfortunately, in most instances the definition of road users in the United States has precluded pedestrians and bicyclists. Safety of pedestrians and bicyclists is most often relegated to a marginal status in many parts of the urban areas. The roads in the past few decades, with a few exceptions, were built for speed, ensuring maximum convenience to drivers, but, intimidating the green modes (pedestrians and bicyclists). Traffic calming is one way of reclaiming the roads for a more equitable use by different users. Many European countries have been successful in giving back the road to the pedestrians and bicyclists by implementing areawide traffic management and speed-reduction measures. The United States, however, is far behind these countries in actual implementation of such concepts, although thinking on these lines had started as early as the 1960s. There is a strong argument in favor of traffic calming in the United States based on facts and figures on accidents, road conditions, and driver behavior. In addition, field research in some European countries reveals the positive attributes of these planning principles and designs.
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Leong, Lee Vien, and Kwang Yew Tan. "Volume-Delay Function in Trip Assignment." Applied Mechanics and Materials 802 (October 2015): 351–56. http://dx.doi.org/10.4028/www.scientific.net/amm.802.351.
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Four-stage demand models are the most popular travel demand forecasting models. Trip assignment which is the last stage in the four-stage demand modelling is a key element in travel demand forecasting process. Traffic assignment model is used to assign travel demands into the road network and predict network flows that are associated with future planning scenarios based on the estimates of link travel times. In order to calculate travel time between origin and destination, a function presenting the relationship between link delays and link flows is used. This function is known as Volume-Delay Function (VDF) and it is the fundamental component of equilibrium trip assignment models. This study aims to investigate and improve VDFs for heterogeneous traffic at different type of arterial roads in Malaysia by using the road network in Balik Pulau, Penang as a case study. Primary data such as traffic volume and speed are collected at three types of arterial roads, which are the principal arterial, minor arterial and collectors to derive the parameters required in the VDFs. In this study, the most well-known and most widely-used volume-delay function which is known as the BPR function developed by the U.S. Bureau of Public Roads was investigated and calibrated using the transportation planning software, EMME 4.1.3. The calibrated functions are then validated with field data. The output from this research is very important as better understanding of VDFs can produce better estimate of link travel times and hence better planning for future scenarios.
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Fadli, Fadli, and Akhmad Khisni. "Work Of Legal Products Traffic In Overcoming Road Conclusion." Law Development Journal 3, no. 3 (August 18, 2021): 675. http://dx.doi.org/10.30659/ldj.3.3.675-682.
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The purpose of this study is to examine and analyze the concept of the substance of traffic law products in overcoming road congestion. This research uses a normative juridical method with research specifications in the form of descriptive analysis. Based on the discussion, it is concluded that the state's efforts in the form of legislation with the existence of legal products that are correlated with overcoming the problem of congestion on the highway with various concepts of interrelated substances include Act No. 22 of 2009, concerning traffic and transportation. Act No. 23 of 2014 concerning Regional Government in Article 9 paragraph (1) states that there are 3 (three) types of government affairs, namely absolute government affairs, concurrent government affairs, and general government affairs. Government affairs under the authority of the Regions consist of Mandatory Government Affairs and Preferred Government Affairs. Article 10 of Act No. 38 of 2004 concerning Roads states that to regulate road use and smooth traffic, roads are divided into several road classes. Government Regulation Number 32 of 2011 concerning Management and Engineering, Impact Analysis, and Traffic Needs Management, the scope of regulation of PP Management and Engineering, Impact Analysis, and Traffic Needs Management includes traffic management and engineering activities including planning, regulation, engineering, empowerment, and supervision.
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Sokolović, Dževada, Muhamed Bajrić, Ahmet Lojo, Dženan Bećirović, and Jusuf Musić. "Inventarizacija šumskih kamionskih puteva na području Federacije Bosne i Hercegovine." Radovi Šumarskog fakulteta Univerziteta u Sarajevu 51, no. 1 (June 1, 2021): 12–24. http://dx.doi.org/10.54652/rsf.2021.v51.i1.350.
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Length of the primary forest roads in the Federation of BiH is 11.821,00 km that includes the categories of public and forest truck roads. Cantonal Public companies for forest management in the Federation of BiH are responsible for the design, construction and maintenance of forest truck roads. The starting point in the analysis related to forest truck roads is to determine the quality and quantity of the existing forest road network. This paper deals with data for all forest truck roads in the territory of Federation of BiH that in total includes 2.907 forest truck roads. The following data were collected and analysed: pavement type, pavement width, longitudinal slope and traffic load per year per 24 h. The analysis of these elements can serve as the basis for categorizing of forest truck roads into primary, secondary and access roads, as well as starting point in planning process related to the maintenance works and future forest road construction.
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Kamath B, Nikhil, Roshan Fernandes, Anisha P. Rodrigues, Mufti Mahmud, P. Vijaya, Thippa Reddy Gadekallu, and M. Shamim Kaiser. "TAKEN: A Traffic Knowledge-Based Navigation System for Connected and Autonomous Vehicles." Sensors 23, no. 2 (January 6, 2023): 653. http://dx.doi.org/10.3390/s23020653.
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Connected and autonomous vehicles (CAVs) have witnessed significant attention from industries, and academia for research and developments towards the on-road realisation of the technology. State-of-the-art CAVs utilise existing navigation systems for mobility and travel path planning. However, reliable connectivity to navigation systems is not guaranteed, particularly in urban road traffic environments with high-rise buildings, nearby roads and multi-level flyovers. In this connection, this paper presents TAKEN-Traffic Knowledge-based Navigation for enabling CAVs in urban road traffic environments. A traffic analysis model is proposed for mining the sensor-oriented traffic data to generate a precise navigation path for the vehicle. A knowledge-sharing method is developed for collecting and generating new traffic knowledge from on-road vehicles. CAVs navigation is executed using the information enabled by traffic knowledge and analysis. The experimental performance evaluation results attest to the benefits of TAKEN in the precise navigation of CAVs in urban traffic environments.
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Droj, Gabriela, Laurențiu Droj, and Ana-Cornelia Badea. "GIS-Based Survey over the Public Transport Strategy: An Instrument for Economic and Sustainable Urban Traffic Planning." ISPRS International Journal of Geo-Information 11, no. 1 (December 30, 2021): 16. http://dx.doi.org/10.3390/ijgi11010016.
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Traffic has a direct impact on local and regional economies, on pollution levels and is also a major source of discomfort and frustration for the public who have to deal with congestion, accidents or detours due to road works or accidents. Congestion in urban areas is a common phenomenon nowadays, as the main arteries of cities become congested during peak hours or when there are additional constraints such as traffic accidents and road works that slow down traffic on road sections. When traffic increases, it is observed that some roads are predisposed to congestion, while others are not. It is evident that both congestion and urban traffic itself are influenced by several factors represented by complex geospatial data and the spatial relationships between them. In this paper were integrated mathematical models, real time traffic data with network analysis and simulation procedures in order to analyze the public transportation in Oradea and the impact on urban traffic. A mathematical model was also adapted to simulate the travel choices of the population of the city and of the surrounding villages. Based on the network analysis, traffic analysis and on the traveling simulation, the elements generating traffic congestion in the inner city can be easily determined. The results of the case study are emphasizing that diminishing the traffic and its effects can be obtained by improving either the public transport density or its accessibility.
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Brzeziński, A., T. Dybicz, and Ł. Szymański. "Demand Model in the Agglomeration using Sim Cards." Archives of Civil Engineering 65, no. 1 (March 1, 2019): 143–56. http://dx.doi.org/10.2478/ace-2019-0010.
Full textAbstract:
AbstractThe road network development programme, as well as planning and design of transport systems of cities and agglomerations require complex analyses and traffic forecasts. It particularly applies to higher-class roads (motorways and expressways), which in urban areas, support different types of traffic. Usually there is a conflict between the needs of long-distance traffic, in the interest of which higher-class roads run through undeveloped areas, and the needs of bringing such road closer to potential destinations, cities [1]. By recognising the importance of this problem it is necessary to develop the research and methodology of traffic analysis, especially trip models. The current experience shows that agglomeration models are usually simplified in comparison to large city models, what results from misunderstanding of the significance of these movements for the entire model functioning, or the lack of input data. The article presents the INMOP 3 research project results, within the framework of which it was attempted to increase the accuracy of traffic generation in agglomeration model owing to the use of BigData – the mobile operator’s data on SIM card movements in the Warsaw agglomeration.
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Bratsas, Charalampos, Kleanthis Koupidis, Josep-Maria Salanova, Konstantinos Giannakopoulos, Aristeidis Kaloudis, and Georgia Aifadopoulou. "A Comparison of Machine Learning Methods for the Prediction of Traffic Speed in Urban Places." Sustainability 12, no. 1 (December 23, 2019): 142. http://dx.doi.org/10.3390/su12010142.
Full textAbstract:
Rising interest in the field of Intelligent Transportation Systems combined with the increased availability of collected data allows the study of different methods for prevention of traffic congestion in cities. A common need in all of these methods is the use of traffic predictions for supporting planning and operation of the traffic lights and traffic management schemes. This paper focuses on comparing the forecasting effectiveness of three machine learning models, namely Random Forests, Support Vector Regression, and Multilayer Perceptron—in addition to Multiple Linear Regression—using probe data collected from the road network of Thessaloniki, Greece. The comparison was conducted with multiple tests clustered in three types of scenarios. The first scenario tests the algorithms on specific randomly selected dates on different randomly selected roads. The second scenario tests the algorithms on randomly selected roads over eight consecutive 15 min intervals; the third scenario tests the algorithms on random roads for the duration of a whole day. The experimental results show that while the Support Vector Regression model performs best at stable conditions with minor variations, the Multilayer Perceptron model adapts better to circumstances with greater variations, in addition to having the most near-zero errors.