Data Transmission Strategy of Probe Vehicle in Floating Car Traffic Monitoring

被引:0
|
作者
Gunawan, Fergyanto E. [1 ]
Chandra, Fajar Yoseph [2 ]
Soewito, Benfano [1 ]
机构
[1] Bina Nusantara Univ, Binus Grad Programs, Jakarta 11530, Indonesia
[2] Bina Nusantara Univ, Sch Comp Sci, Jakarta 11530, Indonesia
关键词
Floating car data; virtual trip line; normal distribution; intelligent transportation system; probe vehicle; TIME;
D O I
暂无
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
The floating car data (FCD) method is an example of the applications of the Intelligent Transportation Systems (ITS) where the traffic data are provided by means of the information and communication technology. In the FCD method, the traffic data are collected, manipulated, and transmitted by probe vehicles via a wireless network to a designated server where the data are stored, manipulated, and displayed in conjunction with a digital map. The method is capable to provide near real-time traffic data but its performance strongly and mainly depends on the reliability of the wireless network. In this work, the traffic data transmission strategy in the FeD method is discussed and its effect to the timeliness of the traffic data is described. As the results, it is found that when the data transmission strategy is not properly designed, a delay in a transmitted packet of data directly affects and intensifies the subsequent data transmission. We propose a transmission strategy to minimize the time delay and experimentally demonstrate that the strategy can reduce the time delay significantly.
引用
收藏
页码:303 / 307
页数:5
相关论文
共 50 条
  • [41] Low speed car following behaviour from floating vehicle data
    Piao, JN
    McDonald, M
    IEEE IV2003: INTELLIGENT VEHICLES SYMPOSIUM, PROCEEDINGS, 2003, : 462 - 467
  • [42] Ergodicity of Traffic Flow with Constant Penetration Rate for Traffic Monitoring via Floating Vehicle Technique
    Gunawan, Fergyanto E.
    Abbas, Bahtiar S.
    Atmadja, Wiedjaja
    Chandra, Fajar Yoseph
    Agung, Alexander A. S.
    Kusnandar, Erwin
    ICASCE 2013 - INTERNATIONAL CONFERENCE ON ADVANCES SCIENCE AND CONTEMPORARY ENGINEERING, 2014, 68
  • [43] Towards area-wide traffic monitoring-applications derived from probe vehicle data
    Lorkowski, S.
    Mieth, P.
    Thiessenhusen, K.-U.
    Chauhan, D.
    Passfeld, B.
    Schäfer, R.-P.
    Proc Int Conf Appl Adv Technol Transp Eng, 1600, (389-394):
  • [44] Empirical and simulation study on traffic oscillation characteristic using floating car data
    Li, Zhen-Hua
    Zheng, Shi-Teng
    Jiang, Rui
    Tian, Jun-Fang
    Zhu, Kai-Xuan
    Di Pace, Roberta
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2022, 605
  • [45] Identifying Urban Traffic Congestion Pattern from Historical Floating Car Data
    Xu, Lin
    Yue, Yang
    Li, Qingquan
    INTELLIGENT AND INTEGRATED SUSTAINABLE MULTIMODAL TRANSPORTATION SYSTEMS PROCEEDINGS FROM THE 13TH COTA INTERNATIONAL CONFERENCE OF TRANSPORTATION PROFESSIONALS (CICTP2013), 2013, 96 : 2084 - 2095
  • [46] Traffic Condition Recognition of Probability Neural Network Based on Floating Car Data
    Guo, Gengqi
    Cao, Chengtao
    Li, Jiuzhong
    Shi, Shuo
    ADVANCES IN NEURAL NETWORKS - ISNN 2009, PT 3, PROCEEDINGS, 2009, 5553 : 1007 - +
  • [47] Performance Characterization of Arterial Traffic Flow with Probe Vehicle Data
    Remias, Stephen M.
    Hainen, Alexander M.
    Day, Christopher M.
    Brennan, Thomas M., Jr.
    Li, Howell
    Rivera-Hernandez, Erick
    Sturdevant, James R.
    Young, Stanley E.
    Bullock, Darcy M.
    TRANSPORTATION RESEARCH RECORD, 2013, (2380) : 10 - 21
  • [48] Urban Tourism Traffic Analysis Zone Division Based on Floating Car Data
    Gao, Yueer
    Liao, Yanqing
    PROMET-TRAFFIC & TRANSPORTATION, 2023, 35 (03): : 395 - 406
  • [49] The impact of probe sample bias on the accuracy of commercial floating car data speeds
    Bruwer, Megan M.
    Walker, Ian
    Andersen, Simen J.
    TRANSPORTATION PLANNING AND TECHNOLOGY, 2022, 45 (08) : 611 - 628
  • [50] Urban traffic analysis from a large scale floating car data system
    Pugliese, F. A.
    Montesano, G.
    Valenti, G.
    URBAN TRANSPORT XV: URBAN TRANSPORT AND THE ENVIRONMENT, 2009, 107 : 3 - 11