Multi-lane Vehicle-to-Vehicle Networks with Time-Varying Radio Ranges: Information Propagation Speed Properties

被引:0
|
作者
Baccelli, Emmanuel [1 ]
Jacquet, Philippe [2 ]
Mans, Bernard [3 ]
Rodolakis, Georgios [4 ]
机构
[1] INRIA, Paris, France
[2] Alcatel Lucent Bell Labs, Villarceaux, France
[3] Macquarie Univ, N Ryde, NSW 2109, Australia
[4] CERTH, Ctr Res & Technol, ITI, Thermi, Greece
关键词
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
We study the information propagation speed in multi-lane vehicle-to-vehicle networks such as roads or highways. We focus on the impact of time-varying radio ranges and of multiple lanes of vehicles, varying in speed and in density. We assess the existence of a vehicle density threshold under which information propagates on average at the fastest vehicle speed and above which information propagates dramatically faster. We first prove that no such phase transition occurs if there is only one lane, regardless of the density of vehicles, when one takes into account real-time radio communication range variations at the MAC layer. We then prove that, on the other hand, a phase transition exists as soon as there are multiple lanes with different vehicle speeds and appropriate densities. We characterize conditions under which the phase transition occurs and we derive bounds on the corresponding threshold as a simple relationship between the vehicle density on the fastest lane and the sum of densities on the other lanes. Our results intrinsically encompass a wide range of vehicular network scenarios, including one-way and two-way roads, as well as special cases such as road side units and/or parked cars being used as relays. We confirm our analytical results using simulations.
引用
收藏
页码:809 / +
页数:2
相关论文
共 50 条
  • [21] Consensus seeking in multi-vehicle systems with a time-varying reference state
    Ren, Wei
    2007 AMERICAN CONTROL CONFERENCE, VOLS 1-13, 2007, : 543 - 548
  • [22] Predicting time-varying, speed-varying dilemma zones using machine learning and continuous vehicle tracking
    Rahman, Moynur
    Kang, Min-Wook
    Biswas, Pranesh
    TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2021, 130
  • [23] Longitudinal Stability Control Algorithm of Vehicle Platooning Based on Time-Varying Information Transmission Delays
    Wang, Jiangfeng
    Qi, Chongkai
    Luo, Dongyu
    Wang, Henan
    Ding, Weidong
    Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology, 2024, 44 (08): : 828 - 837
  • [24] A Genetic Algorithm for the Waitable Time-Varying Multi-Depot Green Vehicle Routing Problem
    Chen, Chien-Ming
    Lv, Shi
    Ning, Jirsen
    Wu, Jimmy Ming-Tai
    SYMMETRY-BASEL, 2023, 15 (01):
  • [25] Obstacle Avoidance in Multi-Vehicle Coordinated Motion via Stabilization of Time-Varying Sets
    Ghorbanian, Parham
    Nersesov, Sergey G.
    Ashrafiuon, Hashem
    2011 AMERICAN CONTROL CONFERENCE, 2011, : 3381 - 3386
  • [26] A Multi-Sensor Interacted Vehicle-Tracking Algorithm with Time-Varying Observation Error
    Gao, Jingjie
    Zhang, Qian
    Sun, Huachao
    Wang, Wei
    REMOTE SENSING, 2022, 14 (09)
  • [27] Multi-Vehicle Circular Formation Flight in an Unknown Time-Varying Flow-Field
    Sadraey, M.
    2013 INTERNATIONAL CONFERENCE ON UNMANNED AIRCRAFT SYSTEMS (ICUAS), 2013, : 859 - 868
  • [28] Simplified Swarm Optimization for the Heterogeneous Fleet Vehicle Routing Problem with Time-Varying Continuous Speed Function
    Yeh, Wei-Chang
    Tan, Shi-Yi
    ELECTRONICS, 2021, 10 (15)
  • [29] Time-Varying Resource Graph Based Processing on the Way for Space-Terrestrial Integrated Vehicle Networks
    Chen, Long
    Tang, Feilong
    Liu, Jiacheng
    Li, Xu
    Zhu, Yanmin
    Yu, Jiadi
    Yang, Laurence T.
    Li, Zhetao
    Yao, Bin
    Yu, Yichuan
    IEEE TRANSACTIONS ON MOBILE COMPUTING, 2024, 23 (02) : 1985 - 2002
  • [30] Optimizing Freight Vehicle Routing in Dynamic Time-Varying Networks with Carbon Dioxide Emission Trajectory Analysis
    Song, Rui
    Qin, Wanen
    Shi, Wen
    Xue, Xingjian
    SUSTAINABILITY, 2023, 15 (21)