Research on prediction of abnormal overtime behavior of expressway vehicles

Lingyu Huo; Yuyang Lei; Jinsong Ye; Lei Zhou

doi:10.1117/12.2671258

28 April 2023 Research on prediction of abnormal overtime behavior of expressway vehicles

Lingyu Huo, Yuyang Lei, Jinsong Ye, Lei Zhou

Proceedings Volume 12610, Third International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022); 1261014 (2023) https://doi.org/10.1117/12.2671258
Event: Third International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022), 2022, Wuhan, China

Abstract

In the expressway network, a large number of abnormal vehicle overtime behaviors occur every day. Currently, there is no efficient detection method. To solve this problem, this paper presents a vehicle full probability prediction optimization model, which can calculate the abnormal probability of other vehicles affected by the event after one vehicle is identified as abnormal vehicle. Further on, this paper establishes multiple events linear estimation model for two probability vehicle types. Finally, this paper presents a probability algorithm of abnormal overtime driving behavior to calculate the abnormal probability of various probability vehicle types.

Citation Download Citation

Lingyu Huo, Yuyang Lei, Jinsong Ye, and Lei Zhou "Research on prediction of abnormal overtime behavior of expressway vehicles", Proc. SPIE 12610, Third International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022), 1261014 (28 April 2023); https://doi.org/10.1117/12.2671258

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