Traffic Congestion Analysis of Shanghai Road Network Based on Floating Car Data

With the rapid growth of urban traffic, the contradiction between traffic demand and supply has become increasingly conspicuous, and traffic congestion has become a normal state. How to identify the frequent congested road sections, estimate their influence to the entire road network; and how to improve the connectivity and accessibility of the whole road network through local traffic reformation, have become important issues to transportation planners and managers. In this paper, the authors take Shanghai as an example. The authors analyze the spatio-temporal characteristics of urban traffic congestion, and identify the frequent congested sections in the network, using floating car data. Furthermore, the authors revealed the correlation of spatial distribution and the spatial concentration characteristic of congestion, by global and local spatial autocorrelation analysis.

• Record URL:
  https://doi.org/10.1061/41039(345)450
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784410394
• Supplemental Notes:
  • © 2009 American Society of Civil Engineers.
• Corporate Authors:

  American Society of Civil Engineers

  1801 Alexander Bell Drive
  Reston, VA  United States  20191-4400
• Authors:
  • Duan, Zhengyu
  • Liu, Liang
  • Sun, Wei
• Conference:
  • Second International Conference on Transportation Engineering
  • Location: Chengdu , China
  • Date: 2009-7-25 to 2009-7-27
• Publication Date: 2009-7

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 2731-2736
• Monograph Title: International Conference on Transportation Engineering 2009

Subject/Index Terms

• TRT Terms: Accessibility; Connectivity; Floating car data; Traffic congestion; Traffic distribution; Travel demand; Urban areas
• Geographic Terms: China; Shanghai (China)
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; I73: Traffic Control;

Filing Info

• Accession Number: 01529692
• Record Type: Publication
• ISBN: 9780784410394
• Files: TRIS, ASCE
• Created Date: Nov 12 2013 1:42PM