Traceability analysis of truck flows on highway congested sections

Sijie Cheng, Wen Wang, Jiangfeng Wang, Ziwei Peng
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Abstract

For the purpose of alleviating highway traffic congestion caused by truck flows, in this paper, based on the highway networking toll data with high coverage and accuracy, vehicle trajectories are constructed, traffic volume is tallied for congestion identification, and then a truck flow traceability analysis method is proposed. The results of the research show that there are different degrees of congestion in the seven freight corridors of the highway network in Shandong Province, and the main sources and destinations of truck flows on the congested sections are located in cities such as Jinan, Zibo and Weifang, as well as some regions outside Shandong Province, indicating that freight transport between major cities in Shandong Province and cross-provincial freight transport are the causes of highway congestion. The study also reveals the departure time distribution pattern of truck flows on congested sections, which can provide a reference for adjusting the highway truck passage time to reduce the impact of truck flow on highway traffic.
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公路拥堵路段货车流溯源分析
为缓解货车流造成的公路交通拥堵,本文基于覆盖范围广、精度高的公路联网收费数据,构建车辆轨迹,统计交通量进行拥堵识别,并提出货车流溯源分析方法。研究结果表明,山东省公路网7条货运通道均存在不同程度的拥堵,拥堵路段货车流的主要来源和目的地均位于济南、淄博、潍坊等城市以及部分省外地区,说明山东省主要城市之间的货运和跨省货运是造成公路拥堵的原因。研究还揭示了拥堵路段货车流的出发时间分布规律,可为调整公路货车通行时间,减少货车流对公路交通的影响提供参考。
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