Research on Eco-driving of Connected Vehicles Considering the Influence of Traffic Flow

被引：0
|
作者：
Zou Y. [1 ]
Zhang T. [1 ,2 ]
Zhang X. [1 ]
Guo N. [1 ]
机构：
[1] Beijing Institute of Technology, Beijing
[2] China North Vehicle Research Institute, Beijing
来源：
Qiche Gongcheng/Automotive Engineering | 2020年 / 42卷 / 10期
关键词：
Connected vehicle; Crossing time; Eco-driving; Queue effect;
D O I：
10.19562/j.chinasae.qcgc.2020.10.004
中图分类号：
学科分类号：
摘要：
Eco-approach and departure (EAD) of connected vehicles at signalized intersection of urban roads is a hot issue in the future of vehicle eco-driving research. In view of the problem that traffic queuing leads to connected vehicles stopping at intersections, a signal model of effective crossing time considering the queuing effect is proposed in this paper firstly, then a recursive search algorithm is used to screen the specific combination scheme of continuous crossing at intersections, so as to reduce the complexity of optimization problem. Finally, pseudo-spectral method is used to analyze the energy saving speed optimization of electric connected vehicles at single and multiple intersections. The results show that the calculation efficiency of the control strategy based on pseudo-spectrum method is more efficient than the dynamic programming algorithm. Compared with the intelligent driver model, this control strategy can produce better energy saving speed. © 2020, Society of Automotive Engineers of China. All right reserved.
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页码：1320 / 1326
页数：6
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