Traffic flow of connected and automated vehicles at lane drop on two-lane highway: An optimization-based control algorithm versus a heuristic rules-based algorithm  

作　　者：刘华清 姜锐 田钧方 朱凯旋 Huaqing Liu;Rui Jiang;Junfang Tian;Kaixuan Zhu(Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport,Ministry of Transport,Beijing Jiaotong University,Beijing 100044,China;College of Management and Economics,Tianjin University,Tianjin 300072,China;Suzhou Institute of Technology,Jiangsu University of Science and Technology,Zhangjiagang 215600,China)

机构地区：[1]Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport,Ministry of Transport,Beijing Jiaotong University,Beijing 100044,China [2]College of Management and Economics,Tianjin University,Tianjin 300072,China [3]Suzhou Institute of Technology,Jiangsu University of Science and Technology,Zhangjiagang 215600,China

出　　处：《Chinese Physics B》2023年第1期380-391,共12页中国物理B（英文版）

基　　金：Project supported in part by the Fundamental Research Funds for the Central Universities (Grant No.2021JBZ107);the National Natural Science Foundation of China (Grant Nos.72288101 and 71931002)。

摘　　要：This paper investigates traffic flow of connected and automated vehicles at lane drop on two-lane highway. We evaluate and compare performance of an optimization-based control algorithm(OCA) with that of a heuristic rules-based algorithm(HRA). In the OCA, the average speed of each vehicle is maximized. In the HRA, virtual vehicle and restriction of the command acceleration caused by the virtual vehicle are introduced. It is found that(i) capacity under the HRA(denoted as C_(H)) is smaller than capacity under the OCA;(ii) the travel delay is always smaller under the OCA, but driving is always much more comfortable under the HRA;(iii) when the inflow rate is smaller than C_(H), the HRA outperforms the OCA with respect to the fuel consumption and the monetary cost;(iv) when the inflow rate is larger than C_(H), the HRA initially performs better with respect to the fuel consumption and the monetary cost, but the OCA would become better after certain time. The spatiotemporal pattern and speed profile of traffic flow are presented, which explains the reason underlying the different performance. The study is expected to help for better understanding of the two different types of algorithm.

关 键 词：traffic flow connected and automated vehicles(CAVs) lane drop optimization-based control algorithm Heuristic rules-based algorithm 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] U491.112[自动化与计算机技术—控制科学与工程]