- ISSN 0258-2724
- CN 51-1277/U
- EI Compendex
- Scopus
- Indexed by Core Journals of China, Chinese S&T Journal Citation Reports
- Chinese S&T Journal Citation Reports
- Chinese Science Citation Database
| Citation: | JIN Lisheng, GUO Baicang, XIE Xianyi, HUA Qiang, ZHENG Yi. Cooperative Control Algorithm for Vehicle at Intersection Based on Driving Safety Field Model[J]. Journal of Southwest Jiaotong University, 2022, 57(4): 753-760. doi: 10.3969/j.issn.0258-2724.20200482
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In order to improve the driving safety and traffic efficiency of connected and automated vehicle (CAV) at non-signalized intersection, firstly, a driving safety field model of non-signalized intersection is established, the objective function considering vehicle performance and traffic risk of all vehicles at intersection is constructed, and the corresponding constraints are also proposed. The model predictive control is used to optimize driving strategy for all vehicles at the intersection. Co-simulation platform is built based on VISSIM, MATLAB and NS3, which verifies and analyzes the performance of the proposed algorithm based on vehicle collision type, driving risk improvement and traffic congestion level, respectively. The experimental results show that when the ratio of traffic flow to traffic volume is greater than 1.0, compared with the traditional actuated control system, the gain of the proposed algorithm is greater than 90%, 10%, 10% and 5% in delay time, travel time, number of conflicts and traffic capacity, respectively. When the communication delay is less than 100 ms and the data packet loss is within 35%, the vehicle traffic efficiency at the intersection can still be guaranteed.
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