Method for identifying and alerting to operational risks of en-route vehicles on arterial road

Zhongbin Luo; Yanqiu Bi; Qing Lei; Yong Li; Lang Song

doi:10.1117/12.3039938

28 August 2024 Method for identifying and alerting to operational risks of en-route vehicles on arterial road

Zhongbin Luo, Yanqiu Bi, Qing Lei, Yong Li, Lang Song

Proceedings Volume 13251, Ninth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2024); 1325163 (2024) https://doi.org/10.1117/12.3039938
Event: 9th International Conference on Electromechanical Control Technology and Transportation (ICECTT 2024), 2024, Guilin, China

Abstract

This paper addresses the identification of traffic operational risks on arterial road. Initially, the traffic environmental risks faced by en-route vehicles are analyzed and categorized by severity. Subsequently, the risks associated with high-risk vehicles in traffic flow are analyzed, leveraging data from intelligent vehicular terminals such as vehicle location, surrounding vehicle statuses, and road conditions to predict short-term traffic flow risks. Ultimately, based on these predictions, a proactive alerting method for high-risk vehicle environmental risks is developed. Through testing combinations of different alerting methods, an effective warning method is determined, presenting a plan that enables continuous, full-route traffic environment risk alerts, capable of promptly reporting high-risk vehicles to monitoring platforms. The proposed models and methods provide theoretical and technical support for the safety management, alerting, and emergency handling of road traffic environments, facilitating proactive safety supervision and reducing road traffic accident rates.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Zhongbin Luo, Yanqiu Bi, Qing Lei, Yong Li, and Lang Song "Method for identifying and alerting to operational risks of en-route vehicles on arterial road", Proc. SPIE 13251, Ninth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2024), 1325163 (28 August 2024); https://doi.org/10.1117/12.3039938

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