Operation Control Method for Connected and Autonomous Vehicles at Intersection

Authors

Linguo Chai, 1. School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, China; ;
Baigen Cai, 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;
Shangguan Wei, 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;
Wang Jian, 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;
Junjie Chen, 1. School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, China; ;

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.

Recommended Citation

Chai, Linguo; Cai, Baigen; Wei, Shangguan; Jian, Wang; and Chen, Junjie (2019) "Operation Control Method for Connected and Autonomous Vehicles at Intersection," Journal of System Simulation: Vol. 31: Iss. 9, Article 17.
DOI: 10.16182/j.issn1004731x.joss.17-0337
Available at: https://dc-china-simulation.researchcommons.org/journal/vol31/iss9/17

First Page

1875

Revised Date

2017-10-21

DOI Link

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

Last Page

1882

CLC

U491.2

Recommended Citation

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.

DOI

10.16182/j.issn1004731x.joss.17-0337