Traffic Delay of Vehicles Based on Traffic Flow Wave Theory Caused by Curb-Lane Bus Stop

To enhance the utilization efficiency and accessibility of curb-lane bus stops and minimize the impacts on dynamic traffic flow, traffic delay models based on traffic flow wave theory was proposed after investigating and analyzing four curb-bus stops in Nanjing. Those models were used to describe traffic delay in the condition of no-signalized intersections flow, dissipated flow in green times, dissipated flow in a signal cycle, and interactive flow in next signal cycle. Practical examples of vehicle arrivals show that the vehicle arriving characteristic is continuous and interacted on urban roadway affected by signalized intersections flow. A compressional dilatational wave was found near curb-lane bus stops, which has three states of consciousness, expandability, and dissipation. The proposed approach can be applied to describe the delay of traffic delay effectively.

• Record URL:
  • https://doi.org/10.1061/9780784413159.146
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784413159
• Supplemental Notes:
  • © 2013 American Society of Civil Engineers.
• Corporate Authors:

  American Society of Civil Engineers

  1801 Alexander Bell Drive
  Reston, VA  United States  20191-4400
• Authors:
  • Wang, Tao
  • Chen, Jun
  • Ye, Xiaofei
  • He, Baohong
• Conference:
  • Fourth International Conference on Transportation Engineering
  • Location: Chengdu , China
  • Date: 2013-10-19 to 2013-10-20
• Publication Date: 2013-10

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 995-1001
• Monograph Title: ICTE 2013: Safety, Speediness, Intelligence, Low-Carbon, Innovation

Subject/Index Terms

• TRT Terms: Bus stops; Curbs; Signalized intersections; Traffic delays; Traffic flow; Traffic lanes; Traffic signal cycle
• Geographic Terms: Nanjing (China)
• Subject Areas: Highways; Operations and Traffic Management; I73: Traffic Control;

Filing Info

• Accession Number: 01520144
• Record Type: Publication
• ISBN: 9780784413159
• Files: TRIS, ASCE
• Created Date: Mar 26 2014 10:15AM