Video-Based Traffic Flow Monitoring Algorithm

Zhang, Yongmei; Zhao, Jiarui; Xiang, Ying; Shu, Jie

doi:10.1109/ccet50901.2020.9213115

Cited by 2 publications

(1 citation statement)

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“…(3) Traverse each window element of upqueue and if there is no intersection between each window [6] and the new window range, open the new window, add it to the queue upqueue and project it to the speed detection line, and add the projected window position to downqueue ; If there is intersection, do not open this new window.…”

Section: Improved Dynamic Windowing Algorithmmentioning

confidence: 99%

Research and application of dynamic windowing algorithm in traffic flow detection

Sun

Liu

2023

International Conference on Signal Processing, Computer Networks, and Communications (SPCNC 2022)

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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.

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Section: Improved Dynamic Windowing Algorithmmentioning

confidence: 99%