A dynamic temporal and spatial speed control strategy for partially connected automated vehicles at a signalized arterial

IF 2.8 3区物理与天体物理 Q2 PHYSICS, MULTIDISCIPLINARY

Physica A: Statistical Mechanics and its Applications Pub Date : 2024-09-10 DOI:10.1016/j.physa.2024.130099

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引用次数: 0

Abstract

The connected and automated vehicle (CAV) is able to acquire the global intelligence in advance by communicating with other CAVs and roadside units (RSU), thus integrated speed control has the potential of easing the traffic wave, reducing the fuel consumption and emissions. In this paper, a dynamic temporal and spatial speed control framework is proposed to optimize the travel speed of CAVs along the signalized arterial under the mixed traffic flow including CAVs and human driven vehicles (HDVs). A speed control optimization method is proposed to minimize the number of stops of the ego CAV and its follower HDV with considering the signal status and queuing. A secondary speed control method based on the dynamic control areas is introduced in the mentioned framework to guide the CAV to the targeted positions. The corresponding dynamic variable parameter model is then designed to optimize the operational parameters of the corresponding control area to minimize the total fuel consumption of all vehicles under different market penetration rates. Finally, the simulation platform of Urban Mobility (SUMO) is used to test the proposed speed control strategy. The results indicate that the total stop delays are reduced by 60.9 % and saving 6.5 % total fuel consumption under the 30 % penetration rate.

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信号灯控制干道上部分联网自动驾驶车辆的动态时空速度控制策略

联网自动驾驶汽车（CAV）能够通过与其他 CAV 和路边装置（RSU）通信提前获取全球智能，因此综合速度控制具有缓解交通流、降低油耗和排放的潜力。本文提出了一种动态时空速度控制框架，以优化在包括 CAV 和人类驾驶车辆（HDV）在内的混合交通流条件下，CAV 在信号灯控制干道上的行驶速度。提出了一种速度控制优化方法，以在考虑信号状态和排队的情况下，最大限度地减少自我 CAV 及其跟随的 HDV 的停车次数。在上述框架中引入了基于动态控制区域的二级速度控制方法，以引导 CAV 到达目标位置。然后设计相应的动态可变参数模型来优化相应控制区域的运行参数，从而在不同的市场渗透率下最大限度地降低所有车辆的总油耗。最后，利用城市交通仿真平台（SUMO）对所提出的速度控制策略进行测试。结果表明，在 30% 的渗透率下，总停车延误减少了 60.9%，总油耗节省了 6.5%。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Physica A: Statistical Mechanics and its Applications 物理-物理：综合

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.