Research on intelligent traffic risk assessment method based on grey clustering

Shaoxin Pu

doi:10.1117/12.2678975

14 June 2023 Research on intelligent traffic risk assessment method based on grey clustering

Shaoxin Pu

Proceedings Volume 12725, International Conference on Pure, Applied, and Computational Mathematics (PACM 2023); 127250G (2023) https://doi.org/10.1117/12.2678975
Event: International Conference on Pure, Applied, and Computational Mathematics (PACM 2023), 2023, Suzhou, China

Abstract

Nowadays, the data generated by expressway operation is large in scale and various in types. When analyzing expressway safety risk, the traditional methods are easily subject to the subjective limitations of analysts, as well as the limitations of experience or knowledge, making it impossible to accurately predict traffic risk, and the traditional attribution theory model cannot simultaneously process and analyze multiple heterogeneous data. The data warehouse and data mining technology based on big data drive can analyze the operation data of different ranges and regions in a unified way, mine the spatio-temporal distribution characteristics, improve the scientific utilization efficiency of traffic data resources, and improve the information service level for traffic safety and early warning. This paper starts with the characteristics of road traffic accident information collection data and the key problems of data analysis and application in China point, reduce the occurrence of road traffic accidents through multi angle and all-round grey clustering evaluation method analysis.

Citation Download Citation

Shaoxin Pu "Research on intelligent traffic risk assessment method based on grey clustering", Proc. SPIE 12725, International Conference on Pure, Applied, and Computational Mathematics (PACM 2023), 127250G (14 June 2023); https://doi.org/10.1117/12.2678975

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