Eco-Cooperative Driving at Back-to-Back Signalized Intersections for Battery-Electric Vehicles During Both Red and Green Phases of the Traffic Light

IF 2.2 4区 工程技术 Q2 ENGINEERING, CIVIL
Ali Parsi, Ebrahim Farjah, Teymoor Ghanbari
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Abstract

Battery electric vehicles (BEVs) are known as a sustainable solution for decarbonizing the transportation system and attaining the objectives of Paris Agreement. The main challenge issues for the widespread adoption of BEVs are battery capacity and driving range limitations. Signalized intersections are one of the places where a considerable amount of the total trip energy is consumed due to their stop-and-go nature. One efficient solution to deal with range limitations in BEVs is eco-driving. In this study, an eco-cooperative driving strategy was developed for BEVs at back-to-back signalized intersections in free-flow traffic. The optimal trip time and acceleration and deceleration levels are calculated to enable the vehicle to pass through signalized intersections without stopping. The proposed eco-cooperative driving optimizes a cost function that considers both energy consumption and travel time. The optimization problem was solved using an approach based on the particle swarm optimization technique. The results show that the proposed eco-cooperative driving strategy could save energy consumption and trip time up to 26.61% and 44.29%, respectively.

Abstract Image

电池电动汽车红绿相间背靠背信号交叉口生态协同驾驶研究
纯电动汽车(bev)被认为是交通系统脱碳和实现《巴黎协定》目标的可持续解决方案。广泛采用纯电动汽车的主要挑战是电池容量和行驶里程的限制。信号交叉口是由于其走走停停的性质而消耗相当多的总行程能量的地方之一。解决纯电动汽车里程限制的一个有效解决方案是生态驾驶。在自由流交通条件下,研究了电动汽车在背靠背信号交叉口的生态协同驾驶策略。计算最佳行程时间和加减速水平,使车辆不停车通过信号交叉口。提出的生态合作驾驶优化了一个考虑能源消耗和出行时间的成本函数。采用基于粒子群优化技术的优化方法对优化问题进行求解。结果表明,该生态协同驾驶策略可分别节省26.61%和44.29%的能耗和行程时间。
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来源期刊
Journal of Advanced Transportation
Journal of Advanced Transportation 工程技术-工程:土木
CiteScore
5.00
自引率
8.70%
发文量
466
审稿时长
7.3 months
期刊介绍: The Journal of Advanced Transportation (JAT) is a fully peer reviewed international journal in transportation research areas related to public transit, road traffic, transport networks and air transport. It publishes theoretical and innovative papers on analysis, design, operations, optimization and planning of multi-modal transport networks, transit & traffic systems, transport technology and traffic safety. Urban rail and bus systems, Pedestrian studies, traffic flow theory and control, Intelligent Transport Systems (ITS) and automated and/or connected vehicles are some topics of interest. Highway engineering, railway engineering and logistics do not fall within the aims and scope of JAT.
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