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原文传递 Development and Performance of a Connected Car-Following Model

题名：	Development and Performance of a Connected Car-Following Model
正文语种：	eng
作者：	Wenxuan Wang;Xinpeng Yao;Ying Yan;Bing Wu;Zijian Wang;Han Zhang
作者单位：	College of Transportation Engineering Chang'an Univ. Xi'an Shaanxi 710064 China Shandong Key Laboratory of Smart Transportation Jinan Shandong 250014 China;Shandong Key Laboratory of Smart Transportation Jinan Shandong 250014 China;College of Transportation Engineering Chang'an Univ. Xi'an Shaanxi 710064 China;Key Laboratory of Road and Traffic Engineering of Ministry of Education Tongji Univ. No. 4800 Cao'an Rd. Shanghai 201804 China;Shandong Key Laboratory of Smart Transportation Jinan Shandong 250014 China;Shandong Key Laboratory of Smart Transportation Jinan Shandong 250014 China
关键词：	Car-following model; Calibration and validation; Cooperative adaptive cruise control(CACC); Numerical simulation
摘要：	Taking advantage of vehicle-to-vehicle(V2V)communications, driving behavior will be impacted by information on preceding vehicles in communication range. In this work, a cooperative adaptive cruise control(CACC)model is proposed based on the traditional car-following model by introducing the speed and acceleration signals received from multiple preceding vehicles with less delay through V2V communication. With two-vehicle and platoon car-following sections from a trajectory data set, the parameters of the car-following model are calibrated, respectively. The stability analysis of the CACC model is conducted to explore the impact of preceding vehicles' information. Then, the optimal parameter values of the CACC model and the CACC maximum platoon size are explored by the multiobjective influence analysis framework. The experiments and analysis indicate that(1)V2V communication and the increase in the number of connected vehicles help the traffic to be more stable;(2)the framework of the optimal value of model parameters can be obtained by considering the traffic safety, efficiency, and environmental impact;(3)the optimized maximum platoon size can be determined by the trade-off among multiple objectives.
出版年：	2023
期刊名称：	Journal of Transportation Engineering
卷：	149
期：	9
页码：	04023079.1-04023079.14