Traffic State Identification Considering Differences between Road Segments and Intersections

Present studies on urban road traffic state identification usually set road segments and connected intersections as an entirety. However, traffic flow on road segments and intersections has significantly different characteristics, so it may cause identification error when implementing the same identification criterion. This paper divides road segments and intersections respectively into small units for the purpose of traffic state differential identification. Then, statistical analysis is used to compare the different characteristics of traffic flow between road segments and intersections, during the process, real floating car data of Nanjing is used. The outcome clearly shows the differences and proves that differential identification is needed. Also it contributes to the making of different identification criterion: median speed and ratio of maximum queue length to unit's length are used as the indexes of state identification respectively for road segments and intersections. A case study is conducted to prove the feasibility of the identification method, and the conclusion is that differential traffic state identification can better reflect a real traffic flow state and largely reduce identification errors.

• Record URL:
  https://doi.org/10.1061/9780784412442.107
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784412442
• Supplemental Notes:
  • © 2012 American Society of Civil Engineers.
• Corporate Authors:

  American Society of Civil Engineers

  1801 Alexander Bell Drive
  Reston, VA  United States  20191-4400
• Authors:
  • Dou, Rui
  • Yun, Meiping
  • Yang, Xiaoguang
• Conference:
  • Twelfth COTA International Conference of Transportation Professionals
  • Location: Beijing , China
  • Date: 2012-8-3 to 2012-8-6
• Publication Date: 2012-8

Language

• English

Media Info

• Media Type: Web
• Features: Figures; References; Tables;
• Pagination: pp 1044-1054
• Monograph Title: CICTP 2012: Multimodal Transportation Systems—Convenient, Safe, Cost-Effective, Efficient

Subject/Index Terms

• TRT Terms: Case studies; Geometric segments; Intersections; Statistical analysis; Traffic characteristics; Traffic data; Traffic flow; Traffic speed
• Geographic Terms: Nanjing (China)
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01501036
• Record Type: Publication
• ISBN: 9780784412442
• Files: TRIS, ASCE
• Created Date: Dec 10 2013 8:10AM