Operation Control Method for Connected and Autonomous Vehicles at Intersection

doi:10.16182/j.issn1004731x.joss.17-0337

Journal of System Simulation ›› 2019, Vol. 31 ›› Issue (9): 1875-1882.doi: 10.16182/j.issn1004731x.joss.17-0337

Previous Articles Next Articles

Operation Control Method for Connected and Autonomous Vehicles at Intersection

Chai Linguo¹, Cai Baigen^1,2,3, Shangguan Wei^1,2,3, Wang Jian^1,2,3, Chen Junjie¹

1. School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, China;
2. State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, China;
3. Beijing Engineering Research Center of EMC and GNSS Technology for Rail Transportation, Beijing Jiaotong University, Beijing 100044, China

Received:2017-07-14 Revised:2017-10-21 Published:2019-12-12

Abstract

Abstract: A novel approach for coordinating connected and autonomous vehicles at intersection is proposed in this paper. The road connecting the specific intersection is divided into two areas: status calculation area and status adjustment area. When the vehicle enters the status calculation area, LOOSE algorithm which is implemented in the infrastructure would be triggered to calculate the target status of the vehicle for it to avoid collision in the intersection. The results of LOOSE would be optimized by COMPACT algorithm with the objective of minimum queue length. And then operational suggestions for the vehicle to move in the adjustment area would be generated based on vehicle kinematic models. Simulation results show that the method is able to improve the capacity of the intersection, especially for balanced traffic flow. And the method performs better than traditional signal control method in reducing the average vehicle delay.

Key words: intelligent transportation, intersection control, slot-based crossing, collision avoidance

CLC Number:

U491.2

Chai Linguo, Cai Baigen, Shangguan Wei, Wang Jian, Chen Junjie. Operation Control Method for Connected and Autonomous Vehicles at Intersection[J]. Journal of System Simulation, 2019, 31(9): 1875-1882.

References

[1] David E, Hillel B G, Meir B.Vortex-based zero-conflict design of urban road networks[J]. Networks & Spatial Economics (S1566-113X), 2013, 13(3): 229-254.
[2] Biswas S, Tatchikou R, Dion F.Vehicle-to-vehicle wireless communication protocols for enhancing highway traffic safety[J]. IEEE Communications Magazine (S0163-6804), 2006, 44(1): 74-82.
[3] Joyoung L, Byungkyu P.Development and evaluation of a cooperative vehicle intersection control algorithm under the connected vehicles environment[J]. IEEE Transactions on Intelligent Transportation Systems (S1524-9050), 2012, 13(1): 81-90.
[4] Cai B G, Zheng Z R, Shangguan W, et al.Unsignalized Cooperative Optimization Control Method Based on Vehicle Speed Guidance and Information Interaction[C]. Proceedings of 2014 IEEE 17^th International Conference on Intelligent Transportation Systems (ITSC). IEEE:Piscataway, NJ, 2014: 57-62.
[5] Wu W, Li P K, Zhang Y.Modelling and simulation of vehicle speed guidance in connected vehicle environment[J]. International Journal of Simulation Modelling (S1726-4529), 2015, 14(1): 145-157.
[6] Remi T, Paolo S, Stanislav S, et al.Revisiting street intersections using slot-based systems[J]. PLOS ONE (S1932-6203), 2016, 11: 1-9.
[7] 徐程, 曲昭伟, 金盛. 考虑侧向偏移的车辆跟驰行为建模及仿真[J]. 吉林大学学报(工学版), 2014, 44(6): 1609-1615.
Xu Cheng, Qu Zhaowei, Jin Sheng.Modeling and simulation of car following behavior considering lateral separation[J]. Journal of Jilin University (Engineering and Technology Edition), 2014, 44(6): 1609-1615.
[8] Jiang R, Wu Q S, Zhu Z J.Full velocity difference model for a car-following theory[J]. Physical Review E (S2470-0045), 2001, 64(1): 17101.
[9] Ahmed O, Tarek S, Said E.Framework for evaluating risk of limited sight distance for permitted left-turn movements: case study[J]. Canadian Journal of Civil Engineering (S0315-1468), 2016, 43(4): 369-377.
[10] Leng J Q, Feng Y Q, Zhai J, et al.Travel time model of left-turning vehicles at signalized intersection[J]. Mathematical Problems in Engineering (S1024-123X), 2012, 473847: 1-10.
[11] 曹凯, 黄肖肖, 于云, 等. 自主车辆避障安全路径的可达集建模[J]. 系统仿真学报, 2016, 28(3): 526-533.
Cao Kai, Huang Xiaoxiao, Yu Yun, et al.Modeling method based on reachable set for safety path in autonomous vehicle obstacle avoidance[J]. Journal of System Simulation, 2016, 28(3): 526-533.

Operation Control Method for Connected and Autonomous Vehicles at Intersection

PDF (PC)

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 8

Recommended Articles

Metrics

Comments

[1]	Qiming Wang, Gaoqiang Zong, Jinming Xu. Optimal Path Planning for Multi-stage Automatic Parking and Simulation Analysis [J]. Journal of System Simulation, 2022, 34(2): 385-395.
[2]	He Zhaocheng, Lin Xuanhua, Nie Peilin, Zhang Ronghui. Mesoscopic Traffic Simulation Model and Calibration Considering Stretching-segment Design [J]. Journal of System Simulation, 2021, 33(4): 781-791.
[3]	Zhao Ping, Lei Xinyu, Chen Bozhi, Yang Jiaoyun. TI-A* Based Multi-robot Dynamic Planning and Coordination Method [J]. Journal of System Simulation, 2019, 31(5): 925-935.
[4]	Yuan Quan, Gao Yan, Qiu Chenlu. Future Traffic Accident Risk Investigation Based on Human-machine-environment Factors [J]. Journal of System Simulation, 2019, 31(3): 566-574.
[5]	Fan Yunsheng, Sun Xiaojie, Wang Guofeng, Guo Chen. Tracking Control Method of Autonomous Dynamic Collision Avoidance for Unmanned Surface Vehicle [J]. Journal of System Simulation, 2018, 30(10): 3781-3788.
[6]	Cao Kai, Liu Xiufang, Yang Xu, Shen Peng. Reachable Set Modeling Approach for Autonomous Vehicle's Dynamic Conflict Control [J]. Journal of System Simulation, 2017, 29(8): 1658-1666.
[7]	Niu Zhongming, Huang Min, Yuan Yuan, Li Min. Research of Visualization of Road Guide Sign Panel Based on Combination of Guiding Information [J]. Journal of System Simulation, 2016, 28(4): 914-919.
[8]	Guan Zheng, Wang Yueqiang, Qian Wenhua. Adaptive Traffic Signal Timing Model on Polling System and Simulation Study [J]. Journal of System Simulation, 2015, 27(10): 2278-2284.