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Effects of real-time traffic information systems on traffic performance under different network structures

Journal of Central South University 2012年第2期19卷 586-592页

作者： YAO Xue-heng F.Benjamin ZHAN LU Yong-mei YANG Min-hua School of Geosciences and Info-Physics Central South University Texas Center for Geographic information Science Department of GeographyTexas State University-San Marcos

The effects of real-time traffic information system(RTTIS)on traffic performance under parallel,grid and ring networks were *** simulation results show that the effects of the proportion of RTTIS usage depend on the road network *** traffic on a parallel network,the performance of groups with and without RTTIS level is improved when the proportion of vehicles using RTTIS is greater than 0 and less than 30%,and a proportion of RTTIS usage higher than 90%would actually deteriorate the *** both grid and ring networks,a higher proportion of RTTIS usage always improves the performance of groups with and without *** all three network structures,vehicles without RTTIS benefit from some proportion of RTTIS usage in a system.

关键词： real-time traffic information traffic network traffic efficiency optimization of urban traffic

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real-time urban traffic information estimation with a limited number of surveillance cameras

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Frontiers of Computer Science 2012年第5期6卷 547-559页

作者： Guangtao XUE Ke ZHANG Qi HE Hongzi ZHU Department of Computer Science and Engineering Shanghai Jiao Tong UniversityShanghai 200240China Baidu Corporation Shanghai 201203China

Constant traffic congestion consumes enormous amounts of energy and causes vastly increased journey times. Therefore, real-time traffic information is of great importance to the public because such information is invaluable to more efficient traffic control and travel planning. To obtain such information in metropolises like Shanghai, however, is very challenging due to the extraordinarily large scale and com- plexity of the underlying road network. In this paper, we pro- pose a novel traffic estimation scheme utilizing surveillance cameras pervasively deployed in cities. With only a limited number of roads with cameras, we adopt a measurement- based traffic matrix （TM） estimation method to infer the traf- fic conditions on those roads with no cameras. Extensively trace-driven simulations as well as field study results show that our scheme can achieve high accuracy with a very limited number of measurements. The accuracy of our measurement- based algorithm outperforms the traditional speed-based and model-based approaches by up to 50%.

关键词： real-time traffic information surveillance cameras measurement-based traffic matrix estimation topologypruning

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Estimation of the Impact of Traveler information Apps on Urban Air Quality Improvement

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Engineering 2018年第2期4卷 60-65页

作者： Wenke Huang Mingwei Hu Department of Transportation Engineering Shenzhen University Shenzhen 518000 China Shenzhen Nanshan Urban Planning and Land Resource Research Center Shenzhen 518000 China

With the rapid growth of vehicle population and vehicle miles traveled, automobile emission has become a severe issue in the metropolitan cities of China. There are policies that concentrate on the management of emission sources. However, improving the operation of the transportation system through apps on mobile devices, especially navigation apps, may have a unique role in promoting urban air quality. real-time traveler information can not only help travelers avoid traffic congestion, hut also advise them to adjust their departure time, mode, or route, or even to cancel trips. Will such changes in personal travel patterns have a significant impact in decreasing emissions？ If so, to what extent will they impact urban air quality？ The aim of this study is to determine how urban traffic emission is affected by the use of navigation apps. With this work, we attempt to answer the question of whether the real-time traffic information provided by navigation apps can help to improve urban air quality. Some of these findings may provide references for the formulation of urban traffic and environmental policies.

关键词： real-time traffic information Mobile devices Environmental benefits Agent-based model

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CHRT:Clustering-Based Hybrid Re-Routing System for traffic Congestion Avoidance

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China Communications 2021年第7期18卷 86-102页

作者： Jie Huo Xiangming Wen Luning Liu Luhan Wang Meiling Li Zhaoming Lu Beijing Laboratory of Advanced information Networks and Beijing Key Laboratory of Network System Architecture and ConvergenceSchool of Information and Communication EngineeringBeijing University of Posts and TelecommunicationsBeijing 100876China Witcomm Open Source Communication Research Institute Beijing 100088China Taiyuan University of Science and Technology Taiyuan 030024China

Re-routing system has become an important technology to improve traffic *** traditional re-routing schemes do not consider the dynamic characteristics of urban traffic,making the planned routes unable to cope with the changing traf-fic *** on real-time traffic information,it is challenging to dynamically re-route connected vehicles to alleviate traffic ***,how to obtain global traffic information while reducing communication costs and improving travel efficiency poses a challenge to the re-routing *** deal with these challenges,this paper proposes CHRT,a clustering-based hybrid re-routing system for traffic congestion *** develops a multi-layer hybrid *** central server accesses the global view of traffic,and the distributed part is composed of vehicles divided into clusters to reduce latency and communication ***,a clustering-based priority mechanism is proposed,which sets priorities for clusters based on realtime traffic information to avoid secondary ***,to plan the optimal routes for vehicles while alleviating global traffic congestion,this paper presents a multi-metric re-routing *** extensive simulations based on the SUMO traffic simulator,CHRT reduces vehicle traveling time,fuel consumption,and CO2 emissions compared to other *** addition,CHRT globally alleviates traffic congestion and improves traffic efficiency.

关键词： traffic congestion dynamic re-routing intelligent transportation system(ITS) real-time traffic information VANET

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