Green light optimal speed advisory for hybrid electric vehicles

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• 作者：Yugong Luo ; ^{lyg@tsinghua.edu.cn} ; Shan Li ; Shuwei Zhang ; Zhaobo Qin ; Keqiang Li
• 关键词：Hybrid electric vehicle ; Optimal speed advisory ; Vehicle-to-infrastructure communication ; Fuel consumption ; Traffic light
• 刊名：Mechanical Systems and Signal Processing
• 出版年：2017
• 出版时间：15 March 2017
• 年：2017
• 卷：87
• 期：part_PB
• 页码：30-44
• 全文大小：1108 K
• 卷排序：87

文摘

There are few studies on the speed optimization of hybrid electric vehicles (HEVs) in an intelligent transportation system (ITS), and therefore, this paper proposes a novel optimal speed advisory strategy for continuous intersections that helps reduce fuel consumption and passing time. The map of the complex fuel consumption model of HEVs is constructed, and a method based on a genetic algorithm that considers continuous intersections and traffic conditions is designed to solve this nonlinear optimization problem. The comparison of the results of a real driving test and a single-intersection optimization algorithm with the simulation results of the proposed optimal speed algorithm for continuous intersections shows that the proposed strategy has a significant advantage in reducing fuel consumption and intersection passing time.