Real-time Cooperative Vehicle Tracking in VANETs

被引:5
|
作者
Noguchi, Taku [1 ]
Ting, Yu-Cheng [2 ]
Yoshida, Masami [2 ]
Ramonet, Alberto Gallegos [1 ]
机构
[1] Ritsumeikan Univ, Coll Informat Sci & Engn, Kusatsu, Shiga, Japan
[2] Ritsumeikan Univ, Grad Sch Informat Sci & Engn, Kusatsu, Shiga, Japan
关键词
Vehicular ad hoc networks (VANETs); Tracking; Vehicle-to-vehicle (V2V) communication; Vehicle-to-road (V2R) communication; Vehicle-to-infrastructure (V2I) communication;
D O I
10.1109/icccn49398.2020.9209650
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
In recent years, vehicle tracking using a vehicular ad hoc network (VANET), where vehicular connectivity is supported by both vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communications, has attracted considerable attention. Vehicle tracking is useful in a variety of applications, such as traffic management, collecting vehicle trajectory data, stolen car recovery and in the pursuit of an illegal runaway vehicle. Some of these applications require real-time and uninterrupted vehicle tracking. The unpredictable movement of the target vehicle and uneven spatial distribution of vehicles that participate in the tracking process make real-time and uninterrupted vehicle tracking challenging. In this paper, we propose a cooperative method to track target vehicles in real time by using VANETs. In our method, vehicles and road side units (RSUs) cooperate to track the location of target vehicles. In order to achieve the uninterrupted tracking of a target vehicle, a tracker broadcasts a handoff request message to its surrounding vehicles before losing the target. We implement the proposed method in a network simulator and evaluate its effectiveness and performance. Our simulation results show that the proposed method can achieve efficient and uninterrupted real-time vehicle tracking.
引用
收藏
页数:6
相关论文
共 50 条
  • [1] Real-time vehicle tracking on a highway
    Hsu, WL
    Tyan, HR
    Liang, YM
    Jeng, BS
    Fan, KC
    JOURNAL OF INFORMATION SCIENCE AND ENGINEERING, 2005, 21 (04) : 733 - 752
  • [2] Real-time Vehicle Detection and Tracking
    Arya, K. V.
    Tiwari, Shailendra
    Behwal, Saurabh
    2016 13TH INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERING/ELECTRONICS, COMPUTER, TELECOMMUNICATIONS AND INFORMATION TECHNOLOGY (ECTI-CON), 2016,
  • [3] Real-time vehicle tracking on highway
    Hsu, WL
    Liao, HYM
    Jeng, BS
    Fan, KC
    2003 IEEE INTELLIGENT TRANSPORTATION SYSTEMS PROCEEDINGS, VOLS. 1 & 2, 2003, : 909 - 914
  • [4] Real-time vehicle tracking in image sequences
    van Leuven, J
    van Leeuwen, MB
    Groen, FCA
    IMTC/2001: PROCEEDINGS OF THE 18TH IEEE INSTRUMENTATION AND MEASUREMENT TECHNOLOGY CONFERENCE, VOLS 1-3: REDISCOVERING MEASUREMENT IN THE AGE OF INFORMATICS, 2001, : 2049 - 2054
  • [5] Real-time vehicle tracking for driving assistance
    Fossati, Andrea
    Schoenmann, Patrick
    Fua, Pascal
    MACHINE VISION AND APPLICATIONS, 2011, 22 (02) : 439 - 448
  • [6] HERO: Online Real-Time Vehicle Tracking
    Zhu, Hongzi
    Li, Minglu
    Zhu, Yanmin
    Ni, Lionel M.
    IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2009, 20 (05) : 740 - 752
  • [7] Real-time vehicle tracking for driving assistance
    Andrea Fossati
    Patrick Schönmann
    Pascal Fua
    Machine Vision and Applications, 2011, 22 (2) : 439 - 448
  • [8] Multiple vehicle detection and tracking in hard real-time
    Betke, M
    Haritaoglu, E
    Davis, LS
    PROCEEDINGS OF THE 1996 IEEE INTELLIGENT VEHICLES SYMPOSIUM, 1996, : 351 - 356
  • [9] An Energy Efficient Real-time Vehicle Tracking System
    Almishari, Salman
    Ababtein, Nor
    Dash, Prajna
    Naik, Kshirasagar
    2017 IEEE PACIFIC RIM CONFERENCE ON COMMUNICATIONS, COMPUTERS AND SIGNAL PROCESSING (PACRIM), 2017,
  • [10] FAFVTC: A Real-Time Network for Vehicle Tracking and Counting
    Wang, Zhiwen
    Wang, Kai
    Gao, Fei
    PATTERN RECOGNITION AND COMPUTER VISION, PRCV 2023, PT XII, 2024, 14436 : 251 - 264