System observability based traffic security risk sensors optimized layout analysis under the intelligent connected scenario

Yuqi Guo; Xinyuan Xing; Lili Zhu; Weichen Li

doi:10.1117/12.2645514

23 November 2022 System observability based traffic security risk sensors optimized layout analysis under the intelligent connected scenario

Yuqi Guo, Xinyuan Xing, Lili Zhu, Weichen Li

Author Affiliations +

Proceedings Volume 12302, Seventh International Conference on Electromechanical Control Technology and Transportation (ICECTT 2022); 123022I (2022) https://doi.org/10.1117/12.2645514
Event: Seventh International Conference on Electromechanical Control Technology and Transportation (ICECTT 2022), 2022, Guangzhou, China

Abstract

In the paper, in order to solve the problem of early warning and control of security risk under the intelligent connected scenario, based on the mixed traffic flow system observability analysis algorithm, the traffic security risk sensors optimized layout is proposed. Firstly, for the mixed traffic flow which contains connected autonomous vehicles and human driven vehicles, the model is established on the basis of different mixing rates. The system matrix calculation method is present, and the design schemes of the output matrix set is also developed. Secondly, based on each pair of the system matrix and the output matrix, the mixed traffic flow system observability is addressed and the optimized layout of traffic security risk sensors is completed as well. Finally, the highway is taken as an example to verify the proposed approach, the results show that the observability algorithm can provide technical support for optimized placement of traffic sensors, and more importantly, it can detect the existing security risk in time.

Citation Download Citation

Yuqi Guo, Xinyuan Xing, Lili Zhu, and Weichen Li "System observability based traffic security risk sensors optimized layout analysis under the intelligent connected scenario", Proc. SPIE 12302, Seventh International Conference on Electromechanical Control Technology and Transportation (ICECTT 2022), 123022I (23 November 2022); https://doi.org/10.1117/12.2645514

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