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Chin. Phys. B, 2023, Vol. 32(1): 014501    DOI: 10.1088/1674-1056/ac9369
ELECTROMAGNETISM, OPTICS, ACOUSTICS, HEAT TRANSFER, CLASSICAL MECHANICS, AND FLUID DYNAMICS Prev   Next  

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

Huaqing Liu(刘华清)1, Rui Jiang(姜锐)1,†, Junfang Tian(田钧方)2, and Kaixuan Zhu(朱凯旋)3
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
Abstract  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 CH) 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 CH, the HRA outperforms the OCA with respect to the fuel consumption and the monetary cost; (iv) when the inflow rate is larger than CH, 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.
Keywords:  traffic flow      connected and automated vehicles (CAVs)      lane drop      optimization-based control algorithm      Heuristic rules-based algorithm  
Received:  13 May 2022      Revised:  30 August 2022      Accepted manuscript online:  21 September 2022
PACS:  45.70.Vn (Granular models of complex systems; traffic flow)  
  89.40.Bb (Land transportation)  
  05.70.Fh (Phase transitions: general studies)  
  64.60.Cn (Order-disorder transformations)  
Fund: Project supported in part by the Fundamental Research Funds for the Central Universities (Grant No. 2021JBZ107) and the National Natural Science Foundation of China (Grant Nos. 72288101 and 71931002).
Corresponding Authors:  Rui Jiang     E-mail:  jiangrui@bjtu.edu.cn

Cite this article: 

Huaqing Liu(刘华清), Rui Jiang(姜锐), Junfang Tian(田钧方), and Kaixuan Zhu(朱凯旋) 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 2023 Chin. Phys. B 32 014501

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