Mathematical Proof of Effectiveness of Platoon-based Traffic Control at Intersections

被引:0
作者
Wu, Jia [1 ]
Yan, Fei [2 ]
Abbas-Turki, Abdeljalil [3 ]
机构
[1] Univ Elect Sci & Technol China, Sch Informat & Software Engn, 4,Sect 2,North Jianshe Rd, Chengdu 610054, Peoples R China
[2] Southwest Jiaotong Univ, Sch Informat Dvi & Technol, Jinan, Peoples R China
[3] Univ Technol Belfort Montbeliard, Syst Lab Transports, Montrouge 90010, France
来源
2013 16TH INTERNATIONAL IEEE CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS - (ITSC) | 2013年
关键词
MODEL; ALGORITHM;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
It was found that the platoon-based algorithm provides better performance at intersections than the conventional signal timing algorithms. To the best of our knowledge, researches have not proved formally the effects of platoon-based algorithm on the traffic control. In this paper, a Petri Nets model is proposed to describe the traffic behavior at intersections. Then based on the structure analysis of the model, it is proved that in order to minimize the total queue length at any time, the platoon should not be interrupted as far as possible. According to the result, a simple traffic control algorithm is proposed for cooperative driving at intersections. Further, through computer simulations, it is shown that the platoon-based algorithm outperforms other traffic control strategies.
引用
收藏
页码:720 / 725
页数:6
相关论文
共 50 条
[41]   A Platoon Control Method Based on DMPC for Connected Energy-Saving Electric Vehicles [J].
Pi, Dawei ;
Xue, Pengyu ;
Xie, Boyuan ;
Wang, Hongliang ;
Tang, Xiaolin ;
Hu, Xiaosong .
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION, 2022, 8 (03) :3219-3235
[42]   Augmented Mixed Vehicular Platoon Control With Dense Communication Reinforcement Learning for Traffic Oscillation Alleviation [J].
Li, Meng ;
Cao, Zehong ;
Li, Zhibin .
IEEE INTERNET OF THINGS JOURNAL, 2024, 11 (22) :35989-36001
[43]   Analysis of the impact of heterogeneous platoon for mixed traffic flow: Control strategy, fuel consumption and emissions [J].
Wu, Yunxia ;
Li, Le ;
Yao, Zhihong ;
Wang, Yi ;
Li, Gen ;
Jiang, Yangsheng .
EXPERT SYSTEMS WITH APPLICATIONS, 2025, 272
[44]   A safety-prioritized receding horizon control framework for platoon formation in a mixed traffic environment [J].
Mahbub, A. M. Ishtiaque ;
Le, Viet-Anh ;
Malikopoulos, Andreas A. .
AUTOMATICA, 2023, 155
[45]   A Model of the Driving Fault Tolerance of Traffic Management and Control Facilities at Urban Intersections [J].
Chen, Meiru ;
Pei, Yulong ;
Hu, Liwei .
FRONTIERS OF MANUFACTURING AND DESIGN SCIENCE IV, PTS 1-5, 2014, 496-500 :2751-+
[46]   Emergency Traffic-Light Control System Design for Intersections Subject to Accidents [J].
Qi, Liang ;
Zhou, MengChu ;
Luan, WenJing .
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2016, 17 (01) :170-183
[47]   Dynamic Phase Signal Control Method for Unstable Asymmetric Traffic Flow at Intersections [J].
Jiang, Xiancai ;
Jin, Yu ;
Ma, Yanli .
JOURNAL OF ADVANCED TRANSPORTATION, 2021, 2021
[48]   An optimal control approach of integrating traffic signals and cooperative vehicle trajectories at intersections [J].
Liu, Meiqi ;
Zhao, J. ;
Hoogendoorn, S. P. ;
Wang, M. .
TRANSPORTMETRICA B-TRANSPORT DYNAMICS, 2022, 10 (01) :971-987
[49]   Eco-driving control for CAVs at signalized intersections: Adapting to traffic uncertainties [J].
Lu, Kaiming ;
Chen, Yanyan ;
Tong, Yao ;
Zhang, Jian ;
Luo, Ying ;
Wang, Jiachen .
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT, 2024, 132
[50]   Coupling Control of Traffic Signal and Entry Lane at Isolated Intersections Under the Mixed-Autonomy Traffic Environment [J].
Dai, Rongjian ;
Ding, Chuan ;
Wu, Xinkai ;
Yu, Bin ;
Lu, Guangquan .
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2023, 24 (10) :10628-10642