Autonomous Detection and Anticipation of Jam Fronts from Messages Propagated by Intervehicle Communication
Autonomous Detection and Anticipation of Jam Fronts from Messages Propagated by Intervehicle Communication
复制标题
根据车辆间通信传播的消息自主检测和预测堵塞前沿
DOI：
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发表时间：
2006
期刊：
影响因子：
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通讯作者：
D. Helbing
中科院分区：
文献类型：
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作者：
M. Schönhof;M. Treiber;Arne Kesting;D. Helbing
介绍了一种极简的全分布式高速公路交通信息系统。它涉及基于车辆的自动拥堵前沿检测，通过车辆间通信传输信息，并根据传输的信息重构时空交通状况，预测拥堵前沿的空间位置。采用综合交通模拟器对整个系统进行仿真，该仿真基于真实的微观交通模型，包括纵向运动和变道。通过仿真结果与解析计算结果的比较，明确验证了其通信模块的功能。仿真结果表明，对于低至3%的车辆设备率，所提出的拥堵前沿识别、信息传输和处理算法能够可靠地预测拥堵前沿的存在和位置。小型市场渗透的可靠操作模式对于成功引入车际通信至关重要。拥堵前沿的短期预测不仅对驾驶员有用，而且对智能自适应巡航控制系统提高道路安全和道路通行能力至关重要。
A minimalist, completely distributed freeway traffic information system is introduced. It involves autonomous, vehicle-based jam-front detection, information transmission via intervehicle communication, and forecast of the spatial position of jam fronts by reconstructing the spatiotemporal traffic situation on the basis of the transmitted information. The whole system is simulated with an integrated traffic simulator, which is based on a realistic microscopic traffic model for longitudinal movements and lane changes. The function of its communication module has been explicitly validated by comparing the simulation results with analytical calculations. By means of simulations, it is shown that the algorithms for congestion-front recognition, message transmission, and processing reliably predict the existence and position of jam fronts for vehicle equipment rates as low as 3%. A reliable mode of operation for small market penetrations is crucial for successful introduction of intervehicle communication. The short-term prediction of jam fronts is not only useful for the driver but also essential for enhancing road safety and road capacity by intelligent adaptive cruise control systems.