Characterization of highway traffic flow under the influence of non-predictive events

Jia Liu; Xiang-hui Song; Xiao-lei Yang

doi:10.1117/12.3039880

28 August 2024 Characterization of highway traffic flow under the influence of non-predictive events

Jia Liu, Xiang-hui Song, Xiao-lei Yang

Author Affiliations +

Proceedings Volume 13251, Ninth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2024); 132516M (2024) https://doi.org/10.1117/12.3039880
Event: 9th International Conference on Electromechanical Control Technology and Transportation (ICECTT 2024), 2024, Guilin, China

Abstract

In order to analyze the traffic flow operation characteristics of the bottleneck region of the highway non-predictive events, the non-predictive events are defined and classified, the nature of the non-predictive events is the reduction of the number of passable lanes of the highway, and according to the degree of impact of the events, the bottleneck region of the highway non-predictive events is further divided. Using real traffic data and Python for data processing, analyze the traffic flow operation characteristics of the highway non-predictive event region, the study shows that, in the upstream of the bottleneck region formed by the non-predictive event, due to the reduction of the number of lanes, the vehicle lane-changing behavior is increased, the interference between the vehicles is intensified, and the speed of traffic flow traveling is reduced and the density is increased.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Jia Liu, Xiang-hui Song, and Xiao-lei Yang "Characterization of highway traffic flow under the influence of non-predictive events", Proc. SPIE 13251, Ninth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2024), 132516M (28 August 2024); https://doi.org/10.1117/12.3039880

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