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原文传递 Car-Following Models for Human-Driven Vehicles and Autonomous Vehicles: A Systematic Review

题名：	Car-Following Models for Human-Driven Vehicles and Autonomous Vehicles: A Systematic Review
正文语种：	eng
作者：	Zelin Wang;Yunyang Shi;Weiping Tong;Ziyuan Gu;Qixiu Cheng
作者单位：	School of Transportation Southeast Univ. Nanjing 210096 China;School of Transportation Southeast Univ. Nanjing 210096 China;School of Transportation Southeast Univ. Nanjing 210096 China;School of Transportation Southeast Univ. Nanjing 210096 China;Dept. of Logistics and Maritime Studies Hong Kong Polytechnic Univ. Kowloon Hong Kong China Shenzhen Research Institute Hong Kong Polytechnic Univ. Shenzhen China
关键词：	Car-following model; Human-driven vehicles (HDVs); Autonomous vehicles (AVs); Calibration; Stability analysis; Complex environment
摘要：	The focus of car-following models is to analyze the microscopic characteristics of traffic flows, with particular attention given to the interaction between adjacent vehicles. This paper presents a systematic review of existing studies on car-following models, with an emphasis on the behavior of both human-driven vehicles (HDVs) and autonomous vehicles (AVs). We classify car-following models based on their applicable background and structure. By considering driving behavior and specific model parameters, we identify the advantages and limitations of each microscopic simulation model in terms of accuracy and continuity. We also discuss model calibration methods, stability analysis, and the impact of complex traffic environments on the car-following process. Finally, we present detailed discussions of each model's features and provide recommendations based on reviewed works and development trends for future research, including mixed traffic flow composed of AVs and HDVs.
出版年：	2023
期刊名称：	Journal of Transportation Engineering
卷：	149
期：	8
页码：	04023075.1-04023075.21