System controllability based traffic controller optimized layout analysis under the intelligent connected scenario

Yuqi Guo; Xinyuan Xing; Zheng Wang; Jinjin Zhang; Weichen Li

doi:10.1117/12.2645472

23 November 2022 System controllability based traffic controller optimized layout analysis under the intelligent connected scenario

Yuqi Guo, Xinyuan Xing, Zheng Wang, Jinjin Zhang, Weichen Li

Author Affiliations +

Proceedings Volume 12302, Seventh International Conference on Electromechanical Control Technology and Transportation (ICECTT 2022); 123024X (2022) https://doi.org/10.1117/12.2645472
Event: Seventh International Conference on Electromechanical Control Technology and Transportation (ICECTT 2022), 2022, Guangzhou, China

Abstract

In the paper, in order to study the optimized layout of traffic controller under the intelligent connected scenario, and then to solve the problem of early warning and control of security risks, a novel controllability analysis algorithm based on the mixed traffic flow is proposed. Firstly, the mixed traffic flow including connected autonomous vehicles and human driven vehicles is modeled. For the mixing rate of different autonomous vehicles, a calculation method of the system matrix is present, the design method of the corresponding input matrix set is also developed. Secondly, based on each input matrix, the system controllability is studied and the optimized placement of traffic controller is completed of the mixing rate of different autonomous vehicles. Finally, the freeway is taken as an example to verify the proposed algorithm, the result shows that the approach can provide support for optimized layout of traffic controllers, and more importantly, it can realize early warning and prevention of traffic safety risks in the mixed traffic flow scenario.

Citation Download Citation

Yuqi Guo, Xinyuan Xing, Zheng Wang, Jinjin Zhang, and Weichen Li "System controllability based traffic controller optimized layout analysis under the intelligent connected scenario", Proc. SPIE 12302, Seventh International Conference on Electromechanical Control Technology and Transportation (ICECTT 2022), 123024X (23 November 2022); https://doi.org/10.1117/12.2645472

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