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Real-time traffic incident data-based perimeter control threshold estimation method
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AI
DOI：10.1080/21680566.2025.2475215.png)
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Abstract
En 中文
Macroscopic fundamental diagram (MFD) is susceptible to traffic flow heterogeneity under incidents, which makes it hard to obtain an accurate estimation of the perimeter control threshold for effective traffic incident management. This study thus proposed a real-time MFD estimation method considering the impact of incidents. By incorporating newly defined variables, the road vulnerability index and incident parameters, an extended MFD model was developed to capture and quantify the impact of traffic incidents on traffic flow dynamics. Simulation experiments were conducted, and an estimation accuracy of more than 97% could be obtained for threshold estimation, with obvious superiority as compared to estimation methods without regard to the impact of incidents. The efficiency of using the proposed method for perimeter control was also validated, showing an improvement of 9% and 11.6% in average delay and number of stops respectively, as compared with perimeter control without considering the impact of traffic incidents.
Keywords:
Traffic incidents
threshold estimation
perimeter control
traffic flow heterogeneity
macroscopic fundamental diagram
Journal
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3.4
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559
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1.2K