Relevant bibliographies by topics / Road traffic

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Road traffic'

Author: Grafiati
Published: 4 June 2021
Last updated: 7 July 2024

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Journal articles on the topic "Road traffic"

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Triantoni, Triantoni. "Traffic Analysis of Traffic in The Wonokusumo Road City of Surabaya." ADRI International Journal of Civil Engineering 5, no. 2 (June 4, 2022): 48–55. http://dx.doi.org/10.29138/aijce.v5i2.5.

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The purpose of this study was to determine the traffic congestion that occurred on the Wonokusumo road in 2020. This study uses a method that refers to the calculation of congestion rates. In accordance with observations in the field on roads with 2/2 UD type two-lane road - two directions are not divided, with a road width of 6 meters for a total of 2 directions with shoulder shoulders 1 meter each on the right and left. The facilities on these roads are not fully equipped with traffic signs such as (no stops, no parking, no speed limit). The highest average daily traffic volume on these roads from 07.00 - 18.00 is 1606 vehicles / hour. The most dominant motorbike type of vehicle passes the road section. From the analysis of the level of congestion conducted obtained results, the side barriers on the road are categorized as moderate (M) by 396 events / hour. Congestion occurs because of crowded activities and vehicles reduce speed and stop beside the road. This causes the service value on the road section is D shows that the vehicle flow is obstructed, the speed is low and the volume of the vehicle is above capacity. Therefore the role of the government is very important to reduce the level of congestion that occurs and motorists are more orderly in carrying out activities on these roads. This causes the service value on the road section is D shows that the vehicle flow is obstructed, the speed is low and the volume of the vehicle is above capacity.
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KAPSKII, D., A. BAKHANOVICH, and G. KUKHARENOK. "IMPROVING TRAFFIC AUDIT ORGANIZATION." Herald of Polotsk State University. Series B. Industry. Applied Sciences, no. 2 (September 7, 2023): 36–40. http://dx.doi.org/10.52928/2070-1616-2023-48-2-36-40.

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The summary: in article examines the theoretical and practical aspects of the audit of road traffic on the roads and streets of the Republic of Belarus. The proposed approach will improve not only the road safety but also the quality of the road – to reduce all types of losses in road traffic.
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Sakamoto, Shinichi, Taiki Fukuda, Miki Yonemura, and Hyojin Lee. "Road traffic noise mapping based on aerial photographs - sound power level determination of road vehicles." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 263, no. 1 (August 1, 2021): 5523–27. http://dx.doi.org/10.3397/in-2021-3130.

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As the first step to obtain a city urban area noise map of road traffic noise, sound power levels of vehicles on the roads should be accurately estimated over a wide area. In Japan, ASJ RTN-Model 2018 was proposed as the representative road traffic noise prediction model, and by using the model sound power level of a vehicle can be determined if the vehicle type, traveling speed, and driving mode are known. As such data on urban road network, the Ministry of Land, Infrastructure and Transport of Japan publishes the road traffic census including road traffic volume and travel speed of major roads in Japan. The data, however, is limited to major roads and there is no data on minor roads. In this study, to estimate noise condition and situation on arbitrary road, a method for estimating the traveling speed and the traffic volume of vehicles on the road from aerial photographs was examined. Road traffic noise levels along several roads in Tokyo were analyzed by the proposed method and the validity of the calculation results were verified by comparing with short-time measurement results obtained along the target roads.
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Priambodo, Bagus, Azlina Ahmad, and Rabiah Abdul Kadir. "Prediction of Average Speed Based on Relationships Between Neighbouring Roads Using K-NN and Neural Network." International Journal of Online and Biomedical Engineering (iJOE) 16, no. 01 (January 21, 2020): 18. http://dx.doi.org/10.3991/ijoe.v16i01.11671.

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For decades, various algorithms to predict traffic flow have been developed to address traffic congestion. Traffic congestion or traffic jam occurs as a ripple effect from a road congestion in the neighbouring area. Previous research shows that there is a spatial correlation between traffic flow in neighbouring roads. Similar traffic pattern is observed between roads in a neighbouring area with respect to day and time. Currently, time series models and neural network models are widely applied to predict traffic flow and traffic congestion based on historical data. However, studies on relationships between road segments in a neighbouring area are still limited. It is important to investigate these relationships because they can assist drivers in avoiding roads which are impacted by road congestion. Also, the result can be used to improve the accuracy of prediction of traffic flow. Hence, this study investigates relationships of roads in a neighbouring area based on similarity of traffic condition. Traffic condition is influenced by number of vehicles and average speed of vehicles. In our study, clustering method is used to divide the speed of traffic into four (4) categories: very congested, congested, clear and very clear. We used k-means clustering method to cluster condition of traffic flow on road segments. Then, we applied the k-Nearest Neighbour (k-NN) method to classify the traffic condition in neighbouring roads. From the classification of traffic condition in neighbouring roads, we then determine the relationship between road segments. We presented the road with highest relationship on the map and used it as input factor to predict traffic speed of the road using neural network. Results show that combination of k-means and k-NN method produced better results than using both, correlation method and using the k-means method only.
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Orłowski, Grzegorz. "Spatial distribution and seasonal pattern in road mortality of the common toad Bufo bufo in an agricultural landscape of south-western Poland." Amphibia-Reptilia 28, no. 1 (2007): 25–31. http://dx.doi.org/10.1163/156853807779799045.

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AbstractAmphibians are the group of animals suffering particularly from the presence of roads and vehicle traffic. The seasonal migration to breeding places undertaken by amphibians in the temperate climate zone is the main reason for their appearance on roads. Between June 2001 and August 2003, 957 common toads Bufo bufo were recorded killed on 48.8 km road network with various traffic volumes (350-10500 cars per 24 h), situated in the agricultural landscape of south-western Poland. The highest mortality was recorded in April (57% of all road-kills). The places with highest recorded mortality varied markedly throughout the year. In spring, many more animals died within the built-up areas, while in summer and autumn their number increased in the open countryside. During the whole study period, 73% of all road-kills were recorded on roads (55% of all controlled) with the lowest traffic volume (350-470 cars per 24 h). The average number of road-kills on roads with the high traffic volume (5700-10500 cars per 24 h) was over 15 times lower than on the roads with low traffic (0-0.17 road-kills per 100 m on roads with high traffic vs 2.59 road-kills per 100 m on roads with low traffic). The number of road-kills on 15 road sections was most closely related to the abundance of local populations of Bufo bufo and to the size of water bodies situated in the road vicinity. The yearly level of local mortality in breeding populations of Bufo bufo due to the vehicle traffic ranged from 2 to 18%.
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Putu Shinta Eka Setyarini, Ni Luh, and Revo Indra Raflyawan. "The Prof. Dr. Satrio Segment Road Evaluation Using Road Safety Audit Method." International Journal of Application on Sciences, Technology and Engineering 1, no. 2 (May 31, 2023): 666–73. http://dx.doi.org/10.24912/ijaste.v1.i2.666-673.

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In recent decades, traffic accidents in Indonesia have become a growing public health problem, that requires attention. Drivers' low understanding of signs, and markings and less strict supervision related to road safety can increase the traffic accident problem. Therefore, it is necessary to reduce the risk of traffic accidents and to improve road safety using the Road safety audit (RSA) method on the Prof. Dr. Satrio road segment. Improve road safety, during the operation and maintenance phase, and prevent the reoccurrence of traffic accidents from research on these roads, then the precise recommendation and countermeasure are carried out on roads.
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Iliescu, Mihai, and Dorin Barbinta. "Aspects Regarding Road Traffic Simulation." Indian Journal of Applied Research 3, no. 4 (October 1, 2011): 45–47. http://dx.doi.org/10.15373/2249555x/apr2013/45.

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Singh, Rahul, Parveen Bawa, and Ranjan Kumar Thakur. "Road Traffic Noise Prediction Model." Paripex - Indian Journal Of Research 3, no. 4 (January 15, 2012): 110–12. http://dx.doi.org/10.15373/22501991/apr2014/34.

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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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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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Dissertations / Theses on the topic "Road traffic"

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Khoury, Joe S. B. Massachusetts Institute of Technology. "Traffic characterization and road categorization." Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/59940.

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Thesis (S.B.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2010.
Cataloged from PDF version of thesis.
Includes bibliographical references.
This thesis looks into the ability to collect driving data reliably and cost-effectively, characterize driving behavior, categorize roads, and finally link all together in a way to minimize the fuel consumption in cars. Using an OBDII scanner, a Smartphone, and an accelerometer, we were able to collect data from various types of cars. Then, we used Matlab in order to analyze the data and compare them visually. We found out that using a Smartphone's built-in GPS and accelerometer is sufficient to record all the basic information required to enable us to model driving behavior and characterize roads. This thesis also aims at establishing a basis for future work to determine how driving patterns relate to fuel consumption.
by Joe Khoury.
S.B.
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Fleyeh, Hasan. "Traffic and Road Sign Recognition." Doctoral thesis, Högskolan Dalarna, Datateknik, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:du-3396.

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This thesis presents a system to recognise and classify road and traffic signs for the purpose of developing an inventory of them which could assist the highway engineers’ tasks of updating and maintaining them. It uses images taken by a camera from a moving vehicle. The system is based on three major stages: colour segmentation, recognition, and classification. Four colour segmentation algorithms are developed and tested. They are a shadow and highlight invariant, a dynamic threshold, a modification of de la Escalera’s algorithm and a Fuzzy colour segmentation algorithm. All algorithms are tested using hundreds of images and the shadow-highlight invariant algorithm is eventually chosen as the best performer. This is because it is immune to shadows and highlights. It is also robust as it was tested in different lighting conditions, weather conditions, and times of the day. Approximately 97% successful segmentation rate was achieved using this algorithm.Recognition of traffic signs is carried out using a fuzzy shape recogniser. Based on four shape measures - the rectangularity, triangularity, ellipticity, and octagonality, fuzzy rules were developed to determine the shape of the sign. Among these shape measures octangonality has been introduced in this research. The final decision of the recogniser is based on the combination of both the colour and shape of the sign. The recogniser was tested in a variety of testing conditions giving an overall performance of approximately 88%.Classification was undertaken using a Support Vector Machine (SVM) classifier. The classification is carried out in two stages: rim’s shape classification followed by the classification of interior of the sign. The classifier was trained and tested using binary images in addition to five different types of moments which are Geometric moments, Zernike moments, Legendre moments, Orthogonal Fourier-Mellin Moments, and Binary Haar features. The performance of the SVM was tested using different features, kernels, SVM types, SVM parameters, and moment’s orders. The average classification rate achieved is about 97%. Binary images show the best testing results followed by Legendre moments. Linear kernel gives the best testing results followed by RBF. C-SVM shows very good performance, but ?-SVM gives better results in some case.
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Crook, Jordan C. "Road Closed to Thru Traffic." ScholarWorks@UNO, 2019. https://scholarworks.uno.edu/td/2601.

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This collection of nine fiction stories explores the journeys of men and women who find themselves unable to continue on the path they've set for themselves. So often, the roads we follow are dictated by social conditioning. This collection considers how are paths are predetermined by social norms and follows the characters as they react to unexpected obstacles encountered in common scenarios. Will they forge new paths? Turn back? Or will they take a detour and return to their original road?
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Wanvik, Per Ole. "Road Lighting and Traffic Safety : Do we need Road Lighting?" Doctoral thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for bygg, anlegg og transport, 2009. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-5396.

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Road lighting is widely recognised as an efficient traffic safety measure. However, we know too little about the effect of road lighting on accidents in a given situation and we do not know what kind of lighting that is optimal for the situation. Society today has a demand for energy savings, locally and globally, and we should not use more energy for road lighting than is necessary. In the field of road lighting the demand for energy savings is accompanied by a fast development of techniques and equipment that give great opportunities for energy savings. The opportunity already exists to adapt the lighting to the actual road, traffic and weather situation. It is a problem, however, that we do not know what lighting quantity and quality which gives the best benefit – cost ratio. The objective of this thesis is to contribute to more knowledge about the relationship between road lighting and traffic safety and thus make a basis for benefit – cost calculations (including environmental costs). The thesis is based on four studies about the safety effect of road lighting, reported in four papers. The first is a literature study, the second is a Norwegian before-and-after study, the third is a cross-section study of Dutch accidents and the fourth is a study of Dutch motorway accidents. The thesis also contains three appendices presenting some more details from the studies than were shown in the papers. The content of the four papers are presented and discussed as a whole in a (fairly comprehensive) introductory part consisting of 10 chapters, where conclusions about the safety effect are discussed and summarised. The thesis in addition discusses the benefit – cost ratio of road lighting, but it is not treated in any of the papers. It has been useful to discuss this matter in advance of the discussion of the future role of road lighting. In the literature study (Paper I), the mean effect of road lighting on injury accidents during darkness was found to be -30 %. The mean effect on fatal accidents was -60 %. The mean effect on pedestrian injury accidents was -45 %, and on motorways the mean effect on injury accidents was -50 %. In the Norwegian before-and-after study (Paper II), the estimated effect of road lighting on injury accidents during darkness was -28 %. The estimated effect was larger at high speed limits than at low speed limits. The estimated effect was smaller on roads with AADT (average daily traffic volume) > 8000 vehicles than on roads with AADT < 8000 vehicles. In the cross-section study of accidents on all Dutch roads (Paper III), the mean effect of road lighting on injury accidents during darkness was found to be -50 %, while it was -54 % when only rural roads were considered. The effect on pedestrian, bicycle and moped accidents was larger than the effect on automobile and motorcycle accidents, and the differences were statistically significant. There was no significant difference between the safety effects for different accident types (Rear end collisions, Frontal collisions etc.) and no significant difference between the driver age groups 60 – 74 years and 30 – 39 years. The effect on fatal accidents was found to be slightly larger than the effect on injury accidents. The mean effect on twilight accidents was 2/3 of the effect during darkness. In the study of motorway accidents (Paper IV), the effect on injury accidents during darkness was found to be -49 % on Dutch motorways, while the effect seemed to be much smaller on British and Swedish motorways. On Dutch rural roads and Dutch motorways, the estimated effect of road lighting on accidents during darkness was smaller during adverse weather and road surface conditions than in fine weather and dry surface conditions. The differences were statistically significant. In fog, there was found no effect of road lighting during darkness. However, there were indications on a daylight safety effect during fog, possibly due to guidance from light poles. The results from the studies described in this thesis give a basis for increasing the application of road lighting as a traffic safety measure worldwide. Cost – benefit calculations indicate that road lighting is one of the most efficient road safety measures available. However, the energy consumption related to road lighting is a problem that must be considered. The great challenge is to reduce the energy consumption as much as possible without reducing the safety benefit too much. Future road lighting will probably be of the adaptive type, and it will be essential to know how the safety effect varies according to traffic and weather conditions and how it varies with the road lighting level and the quality of the lighting. The thesis answers some question about the safety effect during different weather conditions. There is, however, too little information about safety effect related to varying road and traffic conditions. A more serious lack of knowledge is that we do not know how the safety effect varies according to the lighting level. It is not possible to balance the energy consumption and the safety effect as long as this relationship is not known.
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Hjortenkrans, David. "Road traffic metals : sources and emissions." Doctoral thesis, Högskolan i Kalmar, Naturvetenskapliga institutionen, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:hik:diva-666.

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As the environmental regulations and technical progress have forced the factories’ old “end of pipe” solutions to improve, the metal emissions from point sources have decreased. Instead, the diffuse consumption emissions from goods in use now are in focus. The increased awareness of traffic as a major diffuse metal emission source emphasizes the need for more detailed information on the various traffic related sources. The main scope of this thesis is to study specific parts of metal emissions from some road traffic related sub sources such as brake lining and tyres. The metals in focus are antimony (Sb), cadmium (Cd), copper (Cu), chromium (Cr), lead (Pb), nickel(Ni) and zinc (Zn), and the research quantifies emissions from the different sub sources, trace changes over time as well as dispersal patterns and metal mobility in the roadside environment. The results show that even if the road traffic associated metal stocks are small compared to total in use stocks, their emissions are of major importance. The updated figures show that despite material developments during the last 10 years, tyres still are one of the main sources of Zn and Cd, while it can be excluded as a source of concern for the other metals studied. Brake linings are shown to be an especially pronounced source for Cu and Sb. The Pb and Cd emissions from brake linings and tyres have decreased as a result of decreasing material concentrations in these sources, most likely a result of EU regulations. Further the results reveals galvanized goods to be a major road traffic related source for Zn. The results show that the total metal concentrations in roadside soils have increased 3-16 times compared to regional background during the last decades. Each metal has a limited dispersal distance from the roads as well as down in the soil profile. Most metals are found within 10 m from the road in the uppermost 10 cm of the topsoil. However, the sequential extractions show that a large part of the metals found in the soil are rather easily mobilized and can be redistributed if the roadside soils become disturbed. Metals emitted due to decelerating activities are not correlated to elevated concentrations near road junctions. Instead the metals appear to be more evenly spread along the whole driven distance. The study points out Sb as an element that might be problematic to analyse. For Sb, which is sparsely studied as a roadside contaminant, there is a need of more general knowledge as it has a high accumulation rate in roadside soils.
I takt med ökade regleringar inom miljöområdet och en snabb teknikutveckling har fabrikerna allt mer spelat ut sin roll som emissionskällor till miljön. Istället har den diffusa emissionen som kommer från produktanvändning fått en större betydelse. En ökad medvetenhet om transporter och trafikens betydelse för samhällets konsumtionsemissioner understryker det ökade kunskapsbehovet för de trafikrelaterade emissionskällorna. Avhandlingens huvudsyfte är att studera specifika delar av metallemissionen från vissa trafikrelaterade källor så som bromsbelägg och däck. Metallerna som är i fokus är antimon (Sb), bly (Pb), kadmium (Cd), koppar (Cu), krom (Cr), nickel (Ni) och zink (Zn) och forskningen strävar efter att kvantifiera emissionerna från de olika källorna, spåra förändringar i emissioner över tid, kartlägga utsläppsmönster och metallrörlighet i vägnära jord. Resultaten pekar på att även om de trafikrelaterade källorna kvantitativt är små i jämförelse med de totala källorna så är deras emissioner av stor betydelse. De nya siffrorna visar att trots en materialutveckling inom området under det senaste årtiondet så är fortfarande däck en av de största källorna för Cd och Zn i stadsmiljö, medan de kan avfärdas som källa för de övriga studerade metallerna. Studien visar att bromsbelägg fortfarande är en viktig källa för Cu och Sb. Bly- och Cd-emissionerna från däck och bromsbelägg har däremot minskat drastiskt under samma period. Denna minskning beror troligen på en reglering på EU-nivå. Dessutom visar resultaten att galvaniserade ytor är den viktigaste källan till Zn i stadsmiljö. Metallkoncentrationerna i vägnära jord har ökat med 3 – 16 ggr jämfört med bakgrundshalterna i de undersökta områdena. Metallerna uppvisar endast en begränsad spridning från vägen och ner i jordprofilen. Den största metallpåverkan återfinns inom 10 m från vägen och i de översta 10 cm av jorden. Trots den begränsade spridningen så uppvisar de flesta metallerna en förhållandevis hög rörlighet, vilket innebär att de kan bli mobila vid störning av jorden. De bromsrelaterade metallerna uppvisar ingen korrelation till förhöjda halter nära korsningar utan är mer jämnt spridda över hela körsträckan. Studien pekar ut Sb som ett element som kan vara problematiskt att analysera på grund av dess flyktighet. Trots att Sb för närvarande har en snabb ackumulationstakt i trafikmiljö så är den endast sparsamt studerad. Mer generell kunskap om Sb är därför önskvärd.
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Garside, Simon. "Dynamic prediction of road traffic networks." Thesis, Lancaster University, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.387431.

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Yip, Ying-ling, and 葉影玲. "Review of road traffic noise control." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1998. http://hub.hku.hk/bib/B42128523.

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Ali, Abdulamer T. "Computer vision aided road traffic analysis." Thesis, University of Bristol, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.333953.

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Yip, Ying-ling. "Review of road traffic noise control." Click to view the E-thesis via HKUTO, 1998. http://sunzi.lib.hku.hk/hkuto/record/B42128523.

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Zheng, Yunan. "The impact of localized road accident information on road safety awareness." Thesis, Connect to e-thesis, 2007. http://theses.gla.ac.uk/721/.

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Thesis (Ph.D.) - University of Glasgow, 2007.
Ph.D. thesis submitted the Faculty of Information and Mathematical Sciences, Department of Computing Science. Includes bibliographical references. Print version also available.
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Books on the topic "Road traffic"

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Woods, James V. Road traffic offences. 2nd ed. Castletroy: James V. Woods, 1990.

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Britain, Great. Road traffic statutes. London: Waterflow, 1990.

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A, Orme Michael B., ed. Road traffic law. 2nd ed. Oxford [UK]: Oxford University Press, 2009.

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Davis, Marcia. Road traffic referencer. 2nd ed. London: Sweet & Maxwell, 1995.

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Parliament, Great Britain. Road Traffic Bill. London: Stationery Office, 1999.

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Isherwood, Michael J. Road traffic modelling. Manchester: University of Manchester, Department of Computer Science, 1995.

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Pierse, Robert. Road traffic law. 2nd ed. Dublin: Butterworths, 1995.

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A, Orme Michael B., ed. Road traffic law. Oxford: Oxford University Press, 2006.

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Great Britain. Department of the Environment for Northern Ireland. Road traffic census. Belfast: Department of the Environment for Northern Ireland, 1990.

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Commission, Great Britain Law. Road traffic bill, road traffic offenders bill, road traffic (consequential provisions) bill: Report on the consolidation of certain enactments relating to road traffic. London: H.M.S.O., 1988.

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Book chapters on the topic "Road traffic"

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Smiley, Alison, and Robert E. Dewar. "Road Users." In Traffic Engineering Handbook, 51–108. Hoboken, NJ, USA: John Wiley & Sons, Inc, 2016. http://dx.doi.org/10.1002/9781119174738.ch3.

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Bhatnagar, S., H. Prasad, and L. Prashanth. "Road Traffic Control." In Stochastic Recursive Algorithms for Optimization, 243–55. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-4285-0_13.

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Beckenbauer, Thomas. "Road Traffic Noise." In Handbook of Engineering Acoustics, 367–92. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-540-69460-1_15.

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De Vrieze, Nicole. "Effectiveness of Road Safety Campaigns." In Traffic Psychology Today, 207–17. Boston, MA: Springer US, 2001. http://dx.doi.org/10.1007/978-1-4757-6867-1_11.

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Celiński, Ireneusz, Jerzy Łukasik, Szymon Surma, and Jakub Młyńczak. "Road Traffic Scene Acquisition." In Integration as Solution for Advanced Smart Urban Transport Systems, 33–48. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99477-2_4.

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Cook, Kate, Mark James, and Richard Lee. "Road Traffic Act 1988." In Core Statutes on Criminal Law, 142–46. London: Macmillan Education UK, 2015. http://dx.doi.org/10.1007/978-1-137-54431-5_67.

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Hansson, Sven Ove. "Responsibility in Road Traffic." In The Vision Zero Handbook, 177–203. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-76505-7_5.

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AbstractVision Zero requires a new approach to the responsibility for safety. This chapter provides conceptual tools for the description and analysis of this and other responsibility issues. Distinctions between different types of responsibility are introduced, with a particular emphasis on the distinction between blame responsibility and task responsibility. The complex relationship between responsibility and causality is also delineated. This is followed by an analysis of the changes in responsibility assignments that are necessary to implement Visio Zero.
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Hansson, Sven Ove. "Responsibility in Road Traffic." In The Vision Zero Handbook, 1–27. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-23176-7_5-2.

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AbstractVision Zero requires a new approach to the responsibility for safety. This chapter provides conceptual tools for the description and analysis of this and other responsibility issues. Distinctions between different types of responsibility are introduced, with a particular emphasis on the distinction between blame responsibility and task responsibility. The complex relationship between responsibility and causality is also delineated. This is followed by an analysis of the changes in responsibility assignments that are necessary to implement Visio Zero.
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Hansson, Sven Ove. "Responsibility in Road Traffic." In The Vision Zero Handbook, 1–27. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-23176-7_5-1.

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AbstractVision Zero requires a new approach to the responsibility for safety. This chapter provides conceptual tools for the description and analysis of this and other responsibility issues. Distinctions between different types of responsibility are introduced, with a particular emphasis on the distinction between blame responsibility and task responsibility. The complex relationship between responsibility and causality is also delineated. This is followed by an analysis of the changes in responsibility assignments that are necessary to implement Visio Zero.
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Owsiński, Jan W., Jarosław Stańczak, Karol Opara, Sławomir Zadrożny, and Janusz Kacprzyk. "The Road Traffic Data." In Reverse Clustering, 43–52. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-69359-6_4.

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Conference papers on the topic "Road traffic"

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Sharon, Guni. "Alleviating Road Traffic Congestion with Artificial Intelligence." In Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. California: International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/704.

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This paper reviews current AI solutions towards road traffic congestion alleviation. Three specific AI technologies are discussed, (1) intersection management protocols for coordinating vehicles through a roads intersection in a safe and efficient manner, (2) road pricing protocol that induce optimized traffic flow, and (3) partial or full autonomous driving that can stabilize traffic flow and mitigate adverse traffic shock waves. The paper briefly presents the challenges affiliated with each of these applications along with an overview of state-of-the-art solutions. Finally, real-world implementation gaps and challenges are discussed.
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Robbins, C. J., S. Fotios, J. Uttley, and R. Rowe. "OPTIMISING ROAD LIGHTING TO REDUCE ROAD TRAFFIC CRASHES." In CIE 2021 Conference. International Commission on Illumination, CIE, 2021. http://dx.doi.org/10.25039/x48.2021.op32.

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Pedestrians and motorcyclists are vulnerable road users, being over represented in road traffic collisions (RTCs). One assumed benefit of road lighting is a reduction in RTCs after dark by countering the impairment to the visual detection of hazards that occur after dark. One way to optimise the use of road lighting is to light only those sections of road where light level, and hence visibility, is an important factor. The current study used change in ambient light level on RTCs to investigate those situations where improved vision is likely to have significant impact, and therefore the situations where road lighting is of better cost-benefit effectiveness. For both motorcyclist and pedestrian RTCs there was a significant increase in overall RTC risk in darkness compared to daylight, indicating that there may be an overall benefit of road lighting. While darkness was a particular detriment at junctions for motorcyclists and on high-speed roads for pedestrians, road lighting may not be effective mitigation in either case and therefore alternative ways of increasing conspicuity should be considered.
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M. Marohomsalic, Azreen. "Metro Manila Trac SMS-Based Flood Monitoring System." In International Conference on Digital Transformation and Applications (ICDXA 2020). Tunku Abdul Rahman University College, 2020. http://dx.doi.org/10.56453/icdxa.2020.1019.

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This study involves the development of a Flood Monitoring System (FMS) accessible via SMS. Specifically, this study was conducted in 2016, focusing on Metro Manila traffic and flood-prone roads in the metropolis. The initial findings may be useful to urban planners and can be integrated by the government to future development plans to mitigate flood-related incidents. In Metro Manila, heavy rains lead to road flooding causing traffic congestion, road closures, even traffic accidents (AER, 2015). Flooding has become a common cause of costly damages to vehicles (Jimeno, K, 2014). To avoid traffic mishaps, motorists may access flood-related information through social media or road navigation apps which provide crowdsourced updates on heavy traffics, inaccessible roads and floods status (CNN Philippines 2016). However, such is not entirely reliable, requires data subscriptions and limited to smartphone users. In the Philippines, once dubbed as the ‘texting capital of the world’, some 1.4 billion SMS are sent everyday (DICT 2015). Hence, an SMS-based flood monitoring system providing real-time standardized road accessibility status information of flood-prone roads in Metro Manila is an interesting proposition. This design includes product development of the Flood Monitoring Device (FMD) prototype and IT project management plan crafted for potential implementation. Keywords: Flood-related Risks, Flood Monitoring System, IT Project Management Plan, Metro Manila Traffic
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Babau, Cristian-Nicolae, Raul Razvan Suditu, Marius Marcu, and Vladimir-Ioan Cretu. "Road Traffic Segments Characterization." In 2017 19th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC). IEEE, 2017. http://dx.doi.org/10.1109/synasc.2017.00060.

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Alkhatib, Ahmad AA, Zeyad Mohammad, and Eman Abu Maria. "ROAD TRAFFIC Management SOLUTIONS." In 2021 International Conference on Information Technology (ICIT). IEEE, 2021. http://dx.doi.org/10.1109/icit52682.2021.9491720.

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Stan, Ovidiu, and Liviu Miclea. "Road traffic safety solution." In 2014 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR). IEEE, 2014. http://dx.doi.org/10.1109/aqtr.2014.6857863.

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Ištoka Otković, Irena, Aleksandra Deluka-Tibljaš, Sanja Šurdonja, and Tiziana Campisi. "Assessment of the effects of traffic infrastructure reconstruction and introduction of a pedestrian island as a traffic calming measure using traffic microsimulations." In 7th International Conference on Road and Rail Infrastructure. University of Zagreb Faculty of Civil Engineering, 2022. http://dx.doi.org/10.5592/co/cetra.2022.1469.

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The reduction in the traffic death rate in the EU has stagnated in recent years, and the goal of halving the number of fatalities in traffic from 2010 to 2020 has not been met yet. The long-term goal of achieving "Vision 0" requires a multidisciplinary approach and shared responsibility between transport infrastructure that "forgives mistakes", traffic regulation, vehicle automation and traffic participants. At pedestrian crossings of the local roads, which do not have traffic lights, reducing the speed of vehicles by applying a traffic sign has not proved to be an effective solution. Vehicle speed is proved to be a key parameter that determines the outcome of a vehicle-pedestrian conflict. The pedestrian island spatially separates the opposite directions of vehicle flows, thus enabling a better perception of the conflict zone, which is important for vulnerable traffic users. In this paper, an analysis of the effectiveness of horizontal discontinuities and pedestrian island, as infrastructural measures for traffic calming, was made. The evaluation was made using microsimulation traffic modeling, and the calibration of the model was made using a neural network based on measured field data. Travel time is a traffic indicator used in the model calibration process. The calibrated model was then used for the analysis of the effects of the planned reconstruction of the road network segment near the children's playground in a residential area in the city of Osijek, Croatia. Statistical analysis was done to determine whether vehicle speeds on the observed road network segment before and after reconstruction differ significantly. Applied methodology showed that the application of microsimulation traffic modeling provides a possibility to assess the effectiveness of the reconstruction of transport infrastructure in the planning phase
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Mihalinac, Sandra, Maja Ahac, Saša Ahac, and Miroslav Šimun. "Overview of emerging road traffic data collection methods." In 6th International Conference on Road and Rail Infrastructure. University of Zagreb Faculty of Civil Engineering, 2021. http://dx.doi.org/10.5592/co/cetra.2020.1210.

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It is a well-known fact that the data on road traffic flow characteristics is essential for sustainable road network management. First road traffic volume counts date back to the 1950s when short-term periodic road traffic counts were carried out in cities worldwide. Manual traffic counting is one of the oldest and most technologically simple methods to obtain data on road traffic volume and its composition. Today, because of the ever-growing road transport demand, it has become clear that the development of Intelligent Transport Systems (ITS) is vital to increase safety and tackle increasing emission and congestion problems. The introduction of ITS highly depends on the quality and quantity of traffic data. Under the growing requirement of long-term traffic flow information, various traffic data collection methods have evolved. They allow systematic recording of the traffic flow volume and composition but also vehicle speed, total gross weight, number of axles, axle load and travel destination. This data, which is collected continuously over longer periods, enables a detailed analysis of traffic flows, and represents the basis for decision making in planning, designing, construction and maintenance of road infrastructure. This paper gives an overview of traditional and emerging traffic data collection methods - both fixed and mobile - and the analysis of the current road traffic data collection methods used on the Croatian road network, in terms of their potential and limitations.
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Warghade, Vasant P., and Mangesh S. Deshpande. "Road Traffic Condition Estimation Based on Road Acoustics." In 2017 International Conference on Computing, Communication, Control and Automation (ICCUBEA). IEEE, 2017. http://dx.doi.org/10.1109/iccubea.2017.8463797.

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Obradović, Dragan. "The Input of Road Traffic Victims to the Causes and Consequences of Road Traffic Accidents – From the Perspective of a Judge." In The Position of Victims in the Republic of Serbia. Institute of Criminological and Sociological Research, 2024. http://dx.doi.org/10.47152/palic2024.18.

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The Law on Road Traffic Safety pays special attention to the protection of the most vulnerable road traffic users, which include children and the elderly. These categories of road traffic users very often have an input in or contribute with their improper actions to the occurrence and consequences of road traffic accidents. This paper points to certain official data regarding the injuries inflicted upon these road traffic users in Serbia and the world. In particular, individual court case examples depict how these road traffic users can cause road traffic accidents with their improper behavior.
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Reports on the topic "Road traffic"

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Kalambay, Panick, and Srinivas Pulugurtha. Exploring Traffic Speed Patterns for the Implementation of Variable Speed Limit (VSL) Signs. Mineta Transportation Institute, December 2023. http://dx.doi.org/10.31979/mti.2023.2318.

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Traffic congestion is a prevalent issue during peak travel hours on roads in the United States. This study focuses on identifying suitable road links in Charlotte, North Carolina, for implementing variable speed limit (VSL) signs. Real-world traffic speed data collected over one year was analyzed to identify specific road links with favorable characteristics for VSL sign installations. The analysis considered weekdays, weekends, and specific times of the day to capture variations in speed patterns. The results revealed that roads with lower speed limits consistently experienced speeds exceeding the posted speed limits, suggesting additional enforcement or safety measures. For roads with higher speed limits, mean speeds were generally close to the speed limits, but the 85th percentile speeds exceeded them, indicating a potential need for speed management measures. Road links with a 45/50 mph speed limit display a unique pattern compared to other clusters. The mean speed on these roads decreases as the standard deviation increases. The findings contribute to understanding traffic speed patterns and provide valuable insights for transportation planning and management.
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Chien, Stanley, Yaobin Chen, Lauren Christopher, Mei Qiu, and Zhengming Ding. Road Condition Detection and Classification from Existing CCTV Feed. Purdue University, 2022. http://dx.doi.org/10.5703/1288284317364.

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The Indiana Department of Transportation (INDOT) has approximately 500 digital cameras along highways in populated areas of Indiana. These cameras are used to monitor traffic conditions around the clock, all year round. Currently, the videos from these cameras are observed one-by-one by human operators looking for traffic conditions and incidents. The main objective of this research was to develop an automatic, real-time system to monitor traffic conditions and detect incidents automatically. The Transportation and Autonomous Systems Institute (TASI) of the Purdue School of Engineering and Technology at Indiana University-Purdue University Indianapolis (IUPUI) and the Traffic Management Center of INDOT developed a system that monitors the traffic conditions based on the INDOT CCTV video feeds. The proposed system performs traffic flow estimation, incident detection, and classification of vehicles involved in an incident. The research team designed the system, including the hardware and software components added to the existing INDOT CCTV system; the relationship between the added system and the currently existing INDOT system; the database structure for traffic data extracted from the videos; and a user-friendly, web-based server for showing the incident locations automatically. The specific work in this project includes vehicle-detection, road boundary detection, lane detection, vehicle count over time, flow-rate detection, traffic condition detection, database development, web-based graphical user interface (GUI), and a hardware specification study. The preliminary prototype of some system components has been implemented in the Development of Automated Incident Detection System Using Existing ATMS CCT (SPR-4305).
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Williams, Michael, Marcial Lamera, Aleksander Bauranov, Carole Voulgaris, and Anurag Pande. Safety Considerations for All Road Users on Edge Lane Roads. Mineta Transportation Institute, March 2021. http://dx.doi.org/10.31979/mti.2021.1925.

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Edge lane roads (ELRs), also known as advisory bike lanes or advisory shoulders, are a type of shared street where two-way motor vehicle (MV) traffic shares a single center lane, and edge lanes on either side are preferentially reserved for vulnerable road users (VRUs). This work comprises a literature review, an investigation of ELRs’ operational characteristics and potential road user interactions via simulation, and a study of crash data from existing American and Australian ELRs. The simulation evaluated the impact of various factors (e.g., speed, volume, directional split, etc.) on ELR operation. Results lay the foundation for a siting criterion. Current American siting guidance relies only upon daily traffic volume and speed—an approach that inaccurately models an ELR’s safety. To evaluate the safety of existing ELRs, crash data were collected from ELR installations in the US and Australia. For US installations, Empirical Bayes (EB) analysis resulted in an aggregate CMF of .56 for 11 installations observed over 8 years while serving more than 60 million vehicle trips. The data from the Australian State of Queensland involved rural one-lane, low-volume, higher-speed roads, functionally equivalent to ELRs. As motor vehicle volume grows, these roads are widened to two-lane facilities. While the authors observed low mean crash rates on the one-lane roads, analysis of recently converted (from one-lane to two-lane) facilities showed that several experienced fewer crashes than expected after conversion to two-lane roads.
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Liu, Hongrui, and Rahul Ramachandra Shetty. Analytical Models for Traffic Congestion and Accident Analysis. Mineta Transportation Institute, November 2021. http://dx.doi.org/10.31979/mti.2021.2102.

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In the US, over 38,000 people die in road crashes each year, and 2.35 million are injured or disabled, according to the statistics report from the Association for Safe International Road Travel (ASIRT) in 2020. In addition, traffic congestion keeping Americans stuck on the road wastes millions of hours and billions of dollars each year. Using statistical techniques and machine learning algorithms, this research developed accurate predictive models for traffic congestion and road accidents to increase understanding of the complex causes of these challenging issues. The research used US Accidents data consisting of 49 variables describing 4.2 million accident records from February 2016 to December 2020, as well as logistic regression, tree-based techniques such as Decision Tree Classifier and Random Forest Classifier (RF), and Extreme Gradient boosting (XG-boost) to process and train the models. These models will assist people in making smart real-time transportation decisions to improve mobility and reduce accidents.
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Millares, Enrique, Claudia Bustamante, Yolanda Vaccaro, Lourdes Díaz, Alejandro Pablo Taddia, Jacob Veverka, and Elena De la Peña. Road Safety Analysis 2013: Suriname. Inter-American Development Bank, August 2015. http://dx.doi.org/10.18235/0006013.

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The IDB is publishing a collection of Road Safety Analyses for the countries in the region. The IDB aims to lead a process of change that will promote road safety actions in Latin America and the Caribbean with a goal of permanently reducing the region's high rate of traffic accidents.
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De la Peña Mendoza, Sissi Maribel, Kavi Bhalla, Andrés Pereyra, Alejandro Pablo Taddia, and Esteban Diez-Roux. The costs of road injuries in Latin America 2013. Inter-American Development Bank, October 2013. http://dx.doi.org/10.18235/0009144.

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Road traffic injuries are a leading cause of death and disability in Latin America. Nevertheless, road safety continues to rank low in national development priorities in the region. Estimates of the economic costs imposed by road traffic crashes on society can provide policy planners with an important indicator for allocating appropriate investments to road safety. Therefore, IDB conducted a review of methods and best practices reported in the health economics literature for assessing the economic burden of illness and injury.
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Chiavassa, Nathalie, and Raphael Dewez. Technical Note on Road Safety in Haiti. Inter-American Development Bank, January 2021. http://dx.doi.org/10.18235/0003250.

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The IDB has been a predominant partner supporting Haiti development efforts for many years. Nowadays, the IDB is the main source of investment for the country. Considering the vital weight of road transport sector in the socio-economy of the country, the IDB has concentrated a large part of investment efforts in rehabilitating and improving national road infrastructures. In the same time, a rapid increase of motorization and relatively higher speeds have contributed to increasing the number of traffic fatalities and injuries. In 2017, road injuries were the fifth cause of mortality in Haiti. The Road Safety situation of the country is preoccupying with many Vulnerable Road Users involved, in particular pedestrians and motorcyclists. The country is facing multi-sector challenges to address this Road Safety situation. Despite recent efforts, high political will has not been continuous in promoting a multi-sector coordination and the success of technical efforts remained mitigated over the last years. Road user awareness is still weak in the country. Risk factors include dangerous driving, bad safety conditions of vehicles, together with limited law enforcement and poor maintenance of safety devices on the roads. In this context, the Road Safety situation of the country may be getting worse in the coming years if no action is taken. However, the new Decade provides with a unique opportunity to achieve Sustainable Development Goals (SDGs) including significant progress in reducing the burden of traffic crashes. The IDB has already initiated vital investments in modernizing crash data collection, promoting institutional dialogue and supporting capacity building in the area of Road Safety. Future actions to address Road Safety challenges in Haiti in the framework of the five UN five pillars would require a range of investments in the area of political commitment, institutional coordination and technical efforts. A change of political paradigm from making roads for travelling faster to making roads safer for all users is highly needed at national level. This technical note on Road Safety in Haiti present the current situation of the country and provides with recommendations for future actions on Road Safety.
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Mathew, Sonu, and Srinivas S. Pulugurtha. Effect of Weather Events on Travel Time Reliability and Crash Occurrence. Mineta Transportation Institute, November 2022. http://dx.doi.org/10.31979/mti.2022.2035.

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The magnitude of the effect of adverse weather conditions on road operational performance varies with the type of weather condition and the road characteristics of the road links and adjacent links. Therefore, the relationship between weather and traffic is always a concern to traffic engineers and planners, and they have extensively explored ways to integrate weather information into transportation systems. Understanding the influence of weather on operational performance and safety helps traffic engineers and planners to proactively plan and manage transportation systems. The main objective of this research is to evaluate the effect of adverse weather conditions on travel time reliability and crash occurrence, by severity, using weather data, road data, travel time data, and crash data for North Carolina. The methodology and results from this research are useful for transportation system managers and planners to manage the traffic and improve safety under different weather conditions. They also help improve the functionality of weather-responsive management strategies like variable signs to indicate the change in reliability and safety under rainfall and low visibility conditions.
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Bhalla, Kavi, and Esteban Diez-Roux. Cost of Traffic Injuries in Latin America. Inter-American Development Bank, June 2012. http://dx.doi.org/10.18235/0006934.

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This presentation was given by Esteban Diez-Roux and Kavi Bahlla at the Ibero-American Road Safety Conference (CISEV) which took place in Bogota, Colombia in June, 2012. This presentation describes how the high rate of traffic accidents in Latin America places a burden on economies in the region. The authors present the methods and results of a study which assigns a monetary cost to these deaths and injuries as a percent of GDP. The presentation ends with conclusions and implications.
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Bock, Margaret, Alexander Cardazzi, and Brad Humphreys. Where the Rubber Meets the Road: Pavement Damage Reduces Traffic Safety and Speed. Cambridge, MA: National Bureau of Economic Research, August 2021. http://dx.doi.org/10.3386/w29176.

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