Numerical Analysis of Dynamic Speed Limit Model for Highways Based on CTM

Using Python to numerically simulate two scenarios of dynamic and fixed speed limits after traffic accidents on highway sections, to verify the effectiveness of dynamic speed limit model for highways based on CTM, divide the highway section into five cells on average and set up an accident bottleneck area in Cell 4. The results show that within 1 h of the simulation period, the dynamic speed limit objective function value was 8,195.67, which is much lower than the fixed speed limit objective function value of 25,672.18. This indicates that the implementation of dynamic speed limit on the accident section of the expressway is closer to the free flow speed, with higher operating efficiency, and can effectively alleviate congestion caused by traffic accidents, avoiding the transmission of congested sections to the upstream.

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Publication Details

Published
2024-12-11
DOI
https://doi.org/10.1061/9780784485484.173
Primary Topic
Simulation and Modeling Applications
Type
article
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article

Numerical Analysis of Dynamic Speed Limit Model for Highways Based on CTM

L. Sun, Ruihua He, Wenjun Jia, Ying Guo et al.
Simulation and Modeling Applications
article

Numerical Analysis of Dynamic Speed Limit Model for Highways Based on CTM

L. Sun, Ruihua He, Wenjun Jia, Ying Guo, Kemou Jiang
article en

Abstract

Using Python to numerically simulate two scenarios of dynamic and fixed speed limits after traffic accidents on highway sections, to verify the effectiveness of dynamic speed limit model for highways based on CTM, divide the highway section into five cells on average and set up an accident bottleneck area in Cell 4. The results show that within 1 h of the simulation period, the dynamic speed limit objective function value was 8,195.67, which is much lower than the fixed speed limit objective function value of 25,672.18. This indicates that the implementation of dynamic speed limit on the accident section of the expressway is closer to the free flow speed, with higher operating efficiency, and can effectively alleviate congestion caused by traffic accidents, avoiding the transmission of congested sections to the upstream.

Bundesministerium für Klimaschutz, Umwelt, Energie, Mobilität, Innovation und Technologie (AT), Research Institute of Highway (CN), State Key Laboratory of Vehicle NVH and Safety Technology (CN), Beihang University (CN)
Sustainable cities and communities
Openalex Percentile: Top 73%
Simulation and Modeling Applications
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