The elimination and absorption mechanism of oscillatory motion wave based on jam-absorption driving for mixed traffic flow in intelligent connected environment

IF 3.1 3区 物理与天体物理 Q2 PHYSICS, MULTIDISCIPLINARY Physica A: Statistical Mechanics and its Applications Pub Date : 2025-04-15 Epub Date: 2025-02-24 DOI:10.1016/j.physa.2025.130485
Jin Shen , Jiandong Zhao , Zhixin Yu , Shiteng Zheng , Rui Jiang
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Abstract

With the emergence and development of connected and autonomous driving technologies, managing the behavior of connected autonomous vehicles (CAVs) within mixed traffic flow can mitigate traffic oscillation and enhance overall traffic performance. In recent years, the congestion absorption strategy known as jam-absorption driving (JAD) has been proposed, demonstrating efficacy in absorbing motion waves. Based on this premise, the paper addresses congestion phenomena on roadways by utilizing the real-time control system for JAD within a localized mixed traffic environment of CAVs. This system detects and locates the formation of mobile motion waves, estimates their starting and ending points, selects appropriate CAVs to serve as absorbing vehicles, and issues commands to activate them while choosing suitable control modes to facilitate the absorption of motion waves. Finally, simulations employing a stochastic car-following model are conducted to replicate experimental traffic phenomena and outcomes, testing the real-time absorption effects of varying absorption speeds on motion waves. The results indicate that the JAD system effectively eliminates both single and double motion waves observed during the experiments. In the analysis of individual motion wave, the application of the JAD system resulted in reductions in average speed, speed standard deviation, and speed variability, with speed variability decreasing by as much as 16.22 %. In terms of vehicle collision risk, compared to before the implementation of the JAD system, the platoon's TET and TIT values decreased by 15.45 % and 15.77 % respectively. Regarding energy consumption, the maximum reduction was 6.51 % at a speed of 12.5 m/s. As for emission, CO2 emission decreased by up to 25.05 %, NOx emission by 30.30 %, VOCx emission by 1.63 g/km, and PM emission by 31.53 %.These findings validate that the JAD system effectively mitigates motion waves and reduces traffic oscillations by experimental data, thereby enhancing the efficiency of mixed traffic flow and improving roadway safety.
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智能互联环境下混合交通流吸堵驾驶振荡运动波消除与吸收机理研究
随着互联和自动驾驶技术的出现和发展,在混合交通流中管理互联自动驾驶汽车(cav)的行为可以缓解交通振荡,提高整体交通性能。近年来,被称为拥堵吸收驾驶(jam-absorption driving, JAD)的拥堵吸收策略被提出,证明了它在吸收运动波方面的有效性。在此前提下,本文利用自主驾驶汽车局部混合交通环境下的JAD实时控制系统来解决道路上的拥堵现象。该系统对移动运动波的形成进行检测和定位,估计运动波的起止点,选择合适的cav作为吸波载体,并发出指令激活,同时选择合适的控制方式促进运动波的吸收。最后,采用随机车辆跟随模型进行模拟,以复制实验交通现象和结果,测试不同吸收速度对运动波的实时吸收效果。结果表明,该系统能有效地消除实验中观测到的单波和双波运动。在单个运动波的分析中,JAD系统的应用降低了平均速度、速度标准差和速度变异性,速度变异性降低了16.22 %。在车辆碰撞风险方面,与实施JAD系统之前相比,车队的TET和TIT值分别下降了15.45 %和15.77 %。在能耗方面,当速度为12.5 m/s时,能耗最大降幅为6.51 %。排放方面,CO2排放量下降25.05 %,NOx排放量下降30.30 %,VOCx排放量下降1.63 g/km, PM排放量下降31.53 %。实验数据验证了JAD系统有效地缓解了运动波,减少了交通振荡,从而提高了混合交通流的效率,改善了道路安全。
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来源期刊
CiteScore
7.20
自引率
9.10%
发文量
852
审稿时长
6.6 months
期刊介绍: Physica A: Statistical Mechanics and its Applications Recognized by the European Physical Society Physica A publishes research in the field of statistical mechanics and its applications. Statistical mechanics sets out to explain the behaviour of macroscopic systems by studying the statistical properties of their microscopic constituents. Applications of the techniques of statistical mechanics are widespread, and include: applications to physical systems such as solids, liquids and gases; applications to chemical and biological systems (colloids, interfaces, complex fluids, polymers and biopolymers, cell physics); and other interdisciplinary applications to for instance biological, economical and sociological systems.
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