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21 November 2022 Traceability analysis of truck flows on highway congested sections
Sijie Cheng, Lei Wang, Jiangfeng Wang, Ziwei Peng
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Proceedings Volume 12340, International Conference on Frontiers of Traffic and Transportation Engineering (FTTE 2022); 123402Q (2022) https://doi.org/10.1117/12.2652530
Event: International Conference on Frontiers of Traffic and Transportation Engineering (FTTE 2022), 2022, Lanzhou, China
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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Sijie Cheng, Lei Wang, Jiangfeng Wang, and Ziwei Peng "Traceability analysis of truck flows on highway congested sections", Proc. SPIE 12340, International Conference on Frontiers of Traffic and Transportation Engineering (FTTE 2022), 123402Q (21 November 2022); https://doi.org/10.1117/12.2652530
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KEYWORDS
Roads
Analytical research
Data communications
Data processing
Global Positioning System
Sensors
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