Travel Time Dynamics for Intelligent Transportation Systems: Theory and Applications

被引:31
|
作者
Kachroo, Pushkin [1 ,2 ]
Sastry, Shankar [1 ]
机构
[1] Univ Calif Berkeley, Berkeley, CA 94720 USA
[2] Univ Nevada, Dept Elect & Comp Engn, Las Vegas, NV 89154 USA
关键词
Travel time; shockwaves; LWR; entropy; hyperbolic PDE; FEEDBACK-CONTROL; WAVES;
D O I
10.1109/TITS.2015.2472556
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
This paper demonstrates the limitation of the flowbased travel time functions. This paper presents a density-based travel time function and further develops a fundamental model of travel time dynamics that is built from a given fundamental traffic relationship and vehicle characteristics. The travel time dynamics produce an asymmetric one-sided coupled system of hyperbolic partial differential equations, where the first equation represents the macroscopic traffic dynamics. The existence of the solution for the mathematical model is then presented. The main contribution of this paper is the mathematical development and analysis of the real-time model of travel time. Moreover, this paper also shows various intelligent transportation system applications where travel time is an important factor and where this new model would be extremely useful and important.
引用
收藏
页码:385 / 394
页数:10
相关论文
共 50 条
  • [31] Analysis of the Travel Time of Various Transportation Systems in Urban Context
    Viergutz, Kathrin
    Krajzewicz, Daniel
    URBAN MOBILITY - SHAPING THE FUTURE TOGETHER, 2019, 41 : 313 - 323
  • [32] Automatic measurement of traffic variables for intelligent transportation systems applications
    Parsons Transportation, Group/Barton-Aschman Associates, Inc, Chicago, United States
    Transp Res Part B Methodol, 6 (437-457):
  • [33] Automatic measurement of traffic variables for intelligent transportation systems applications
    Nam, DH
    Drew, DR
    TRANSPORTATION RESEARCH PART B-METHODOLOGICAL, 1999, 33 (06) : 437 - 457
  • [34] A Platform for Vehicular Networks in the Cloud to Applications in Intelligent Transportation Systems
    Leite Junior, George
    do Nascimentos, Rogerio P. C.
    Dantas, Mario A. R.
    de Macedo, Douglas D. J.
    2017 IEEE 26TH INTERNATIONAL CONFERENCE ON ENABLING TECHNOLOGIES - INFRASTRUCTURE FOR COLLABORATIVE ENTERPRISES (WETICE), 2017, : 101 - 106
  • [35] Intelligent Transport Systems and Dynamic Transportation Network Flow Theory
    Akamatsu, T.
    Denshi Joho Tsushin Gakkai Shi/Journal of the Institute of Electronics, Information and Communications Engineers, 80 (09):
  • [36] Contributions of traffic theory toward deployment of Intelligent Transportation Systems
    Gazis, DC
    TRANSPORTATION SYSTEMS 1997, VOLS 1-3, 1997, : 1 - 12
  • [37] Intelligent transportation systems
    Joseph, Anthony D.
    IEEE PERVASIVE COMPUTING, 2006, 5 (04) : 63 - 67
  • [38] INTELLIGENT TRANSPORTATION SYSTEMS
    Dimitrakopoulos, George
    Demestichas, Panagiotis
    IEEE VEHICULAR TECHNOLOGY MAGAZINE, 2010, 5 (01): : 77 - 84
  • [39] TRAVEL TIME AND TRANSPORTATION POLICY
    GRUEN, AC
    JOURNAL OF URBAN ECONOMICS, 1980, 8 (02) : 264 - 271
  • [40] Application of an Intelligent Transportation System in a Travel Time Information System Safety Assessment and Management
    Cafiso, Salvatore
    D'Agostino, Carmelo
    Kiec, Mariusz
    Pogodzinska, Sylwia
    TRANSPORTATION RESEARCH RECORD, 2017, (2635) : 46 - 54