Study on Path Optimization Method of Traffic Guidance System under the Condition of the Car Networking

被引:0
|
作者
Wang, Danping [1 ,2 ]
Hu, Kunyuan [3 ]
机构
[1] Chinese Acad Sci, Beijing 100039, Peoples R China
[2] Shenyang Univ, Coll Informat Engn, Shenyang 110044, Peoples R China
[3] Chinese Acad Sci, Shenyang Inst Automat, Shenyang 110016, Peoples R China
关键词
Path Optimization; Game Theory; Traffic Guidance; Geographic Information System; Network Topology;
D O I
10.4028/www.scientific.net/AMM.624.567
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Intelligent Transportation System is the primary means of solving the city traffic problem. The information technology, the communication, the electronic control technology and the system integration technology and so on applies effectively in the transportation system by researching rationale model, thus establishes real-time, accurate, the highly effective traffic management system plays the role in the wide range. Traffic flow guidance system is one of cores of Intelligent Transportation Systems. It is based on modern technologies, such as computer, communication network, and so on. Supplying the most superior travel way and the real-time transportation information according to the beginning and ending point of the journey. The journey can promptly understand in the transportation status of road network according to the guidance system, then choosing the best route to reach destination.
引用
收藏
页码:567 / 570
页数:4
相关论文
共 50 条
  • [21] An optimization method for evacuation guidance under limited visual field
    Dong, Shiyu
    Huang, Ping
    Wang, Wei
    [J]. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2022, 607
  • [22] Road condition prediction and logistics distribution path optimization algorithm based on traffic big data
    Li, Wenjing
    Liang, Shiaofang
    Jiang, Yinjiao
    Pan, Qiuxia
    [J]. JOURNAL OF ALGORITHMS & COMPUTATIONAL TECHNOLOGY, 2019, 13
  • [23] The Optimal VMS Location Method in Urban Traffic Flow Guidance System
    Yang, Zhaosheng
    Guan, Qing
    Wang, Yuan
    Hu, Jianmeng
    [J]. TRAFFIC AND TRANSPORTATION STUDIES, 2008, : 870 - +
  • [24] A method of emission and traveller behavior analysis under multimodal traffic condition
    Zhang, Weibin
    Qi, Yong
    Yan, Ying
    Tang, Jinjun
    Wang, Yinhai
    [J]. TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT, 2017, 52 : 139 - 155
  • [25] A Study on the Traffic Light Identification and Guidance System for the Elderly Drivers
    Roslan, Zhafri Hariz
    Cho, Myeon-gyun
    [J]. 2018 TENTH INTERNATIONAL CONFERENCE ON UBIQUITOUS AND FUTURE NETWORKS (ICUFN 2018), 2018, : 756 - 758
  • [26] Study on the implement technologies of Urban Traffic Flow Guidance System
    Yang, ZS
    Ma, DS
    [J]. TRAFFIC AND TRANSPORTATION STUDIES, VOLS 1 AND 2, PROCEEDINGS, 2002, : 690 - 695
  • [27] Study of optimization method for flight path following
    He, Pei
    Qu, Xiangju
    Wu, Zhe
    [J]. Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics, 2003, 29 (07): : 598 - 601
  • [28] Urban Traffic Route Guidance Method With High Adaptive Learning Ability Under Diverse Traffic Scenarios
    Tang, Chuanhui
    Hu, Wenbin
    Hu, Simon
    Stettler, Marc E. J.
    [J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 22 (05) : 2956 - 2968
  • [29] Study on information processing in the integration of urban traffic flow guidance system and urban traffic control system
    Yang, ZS
    Yang, CX
    Sun, JP
    [J]. 2003 IEEE INTELLIGENT TRANSPORTATION SYSTEMS PROCEEDINGS, VOLS. 1 & 2, 2003, : 47 - 49
  • [30] Driving Simulator Validation Study Under Car-following Condition
    Zhang, Yanning
    Guo, Zhongyin
    Li, Zhenjiang
    [J]. Tongji Daxue Xuebao/Journal of Tongji University, 2020, 48 (06): : 847 - 853