Velocity Optimization of Pure Electric Vehicles with Traffic Dynamics and Driving Safety Considerations

IF 3.5 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS ACM Transactions on Internet of Things Pub Date : 2021-02-01 DOI:10.1145/3433678
Liuwang Kang, Ankur Sarker, Haiying Shen
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引用次数: 4

Abstract

As Electric Vehicles (EVs) become increasingly popular, their battery-related problems (e.g., short driving range and heavy battery weight) must be resolved as soon as possible. Velocity optimization of EVs to minimize energy consumption in driving is an effective alternative to handle these problems. However, previous velocity optimization methods assume that vehicles will pass through traffic lights immediately at green traffic signals. Actually, a vehicle may still experience a delay to pass a green traffic light due to a vehicle waiting queue in front of the traffic light. Also, as velocity optimization is for individual vehicles, previous methods cannot avoid rear-end collisions. That is, a vehicle following its optimal velocity profile may experience rear-end collisions with its frontal vehicle on the road. In this article, for the first time, we propose a velocity optimization system that enables EVs to immediately pass green traffic lights without delay and to avoid rear-end collisions to ensure driving safety when EVs follow optimal velocity profiles on the road. We collected real driving data on road sections of US-25 highway (with two driving lanes in each direction and relatively low traffic volume) to conduct extensive trace-driven simulation studies. Results show that our velocity optimization system reduces energy consumption by up to 17.5% compared with real driving patterns without increasing trip time. Also, it helps EVs to avoid possible collisions compared with existing collision avoidance methods.
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考虑交通动力学和驾驶安全的纯电动汽车速度优化
随着电动汽车(ev)的日益普及,其电池相关问题(如行驶里程短、电池重量大)必须尽快解决。对电动汽车进行速度优化以实现行驶能耗最小化是解决这些问题的有效途径。然而,以往的速度优化方法假设车辆在绿灯处立即通过交通信号灯。实际上,车辆通过绿灯时仍然可能会遇到延误,因为有车辆在红绿灯前排队等候。此外,由于速度优化是针对单个车辆的,以往的方法无法避免追尾碰撞。也就是说,遵循最佳速度剖面的车辆可能会与道路上的前方车辆发生追尾碰撞。在本文中,我们首次提出了一种速度优化系统,使电动汽车在道路上按照最优速度曲线行驶时,能够立即无延迟地通过绿灯,避免追尾,确保驾驶安全。我们收集了US-25高速公路(每个方向有两条车道,车流量相对较低)路段的真实驾驶数据,进行了广泛的轨迹驱动模拟研究。结果表明,该速度优化系统在不增加行驶时间的情况下,与实际驾驶模式相比,能耗降低了17.5%。此外,与现有的避碰方法相比,它可以帮助电动汽车避免可能发生的碰撞。
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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CiteScore
5.20
自引率
3.70%
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0
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