Research and application of dynamic windowing algorithm in traffic flow detection

Wenhua Sun; Zi Wei; Yanfu Liu

doi:10.1117/12.2674660

28 April 2023 Research and application of dynamic windowing algorithm in traffic flow detection

Wenhua Sun, Zi Wei, Yanfu Liu

Proceedings Volume 12626, International Conference on Signal Processing, Computer Networks, and Communications (SPCNC 2022); 126261W (2023) https://doi.org/10.1117/12.2674660
Event: International Conference on Signal Processing, Computer Networks, and Communications (SPCNC 2022), 2022, Zhuhai, China

Abstract

The fixed window algorithm used in the traditional vehicle flow virtual loop detection has inherent shortcomings and limitations. The traditional algorithm can achieve a good detection effect when the driving vehicles strictly follow the lane. However, in real life, the phenomenon of vehicles driving across lanes is relatively serious, which often leads to the simultaneous detection of vehicles on the detection lines of two adjacent lanes, thus causing false detection. Aiming at the shortcomings of traditional fixed window algorithm in traffic flow detection, this paper proposes an improved dynamic window algorithm, which can effectively overcome the shortcomings of fixed window detection by setting two detection lines on multiple lanes across the entire road. The experimental results show that the improved algorithm has achieved good results in traffic flow detection, and has good robustness and stability.

Citation Download Citation

Wenhua Sun, Zi Wei, and Yanfu Liu "Research and application of dynamic windowing algorithm in traffic flow detection", Proc. SPIE 12626, International Conference on Signal Processing, Computer Networks, and Communications (SPCNC 2022), 126261W (28 April 2023); https://doi.org/10.1117/12.2674660

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