Congestion Analysis of the Toll Station Based on GPS Data

This paper aims to make an analysis of traffic congestion by truck GPS data from Gaodong toll station in Shanghai, China. Firstly, the GPS data is processed and matched to the selected study zone. Thereafter, the finite mixture model (FMM) is applied to fit the speed distribution and establish a congestion evaluation index. Finally, the working status of the tolling station can be described. From the results of the statistics, it can be concluded that the influence distance of the charging behavior is a constant related to the design of the tolling station. The truck trip characteristics do not coincide with that of commuting trips in this area, and the two forms of the traffic will affect each other.

• Record URL:
  • https://doi.org/10.1061/9780784484265.151
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784484265
• Supplemental Notes:
  • © 2022 American Society of Civil Engineers.
• Corporate Authors:

  American Society of Civil Engineers

  1801 Alexander Bell Drive
  Reston, VA  United States  20191-4400
• Authors:
  • Wang, Jing
  • Weng, Jinxian
  • Wang, Xiaomeng
• Conference:
  • 22nd COTA International Conference of Transportation Professionals
  • Location: Changsha Hunan Province, China
  • Date: 2022-7-8 to 2022-7-11
• Publication Date: 2022

Language

• English

Media Info

• Media Type: Web
• Pagination: pp 1608-1617
• Monograph Title: CICTP 2022: Intelligent, Green, and Connected Transportation

Subject/Index Terms

• TRT Terms: Commuting; Data analysis; Global Positioning System; Toll plazas; Traffic congestion; Trucks
• Geographic Terms: Shanghai (China)
• Subject Areas: Highways; Operations and Traffic Management; Terminals and Facilities;

Filing Info

• Accession Number: 01864130
• Record Type: Publication
• ISBN: 9780784484265
• Files: TRIS, ASCE
• Created Date: Nov 17 2022 10:15AM