Traffic Conflict Analysis of Non-Motorized Vehicle Waiting Areas at Signalized Intersection

In order to determine the impact of non-motorized vehicle waiting areas on the safety of signalized intersections, a random effect negative binomial model was established for typical three non-motorized vehicle waiting areas. The results show that the negative binomial distribution model with random parameters can make up for the defect that the traditional negative binomial model cannot describe the heterogeneity of the non-motorized vehicle waiting area, and the fitting result is better; the non-motorized vehicle waiting area in the form of BOX can effectively reduce the conflict; the volume of right-turning vehicles and straight-ahead non-motorized vehicles, the proportion of the large cars, and the proportion of the electric bicycles all have significant positive correlation with the traffic conflicts. The results are of great importance for improving the safety level of intersections.

• Record URL:
  • https://doi.org/10.1061/9780784483053.232
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784483053
• Supplemental Notes:
  • © 2020 American Society of Civil Engineers.
• Corporate Authors:

  American Society of Civil Engineers

  1801 Alexander Bell Drive
  Reston, VA  United States  20191-4400
• Authors:
  • Liang, Guohua
  • Zhang, Wanting
  • Zhang, Yidan
  • Chen, Yixin
  • Dong, Chenhao
• Conference:
  • 20th COTA International Conference of Transportation Professionals
  • Location: Xi’an , China
  • Date: 2020-8-14 to 2020-8-16
• Publication Date: 2020

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 2751-2762
• Monograph Title: CICTP 2020: Transportation Evolution Impacting Future Mobility

Subject/Index Terms

• TRT Terms: Crosswalks; Cyclists; Nonmotorized transportation; Signalized intersections; Traffic conflicts; Traffic safety; Turning traffic; Waiting time
• Subject Areas: Highways; Operations and Traffic Management; Pedestrians and Bicyclists; Safety and Human Factors;

Filing Info

• Accession Number: 01768186
• Record Type: Publication
• ISBN: 9780784483053
• Files: TRIS, ASCE
• Created Date: Mar 25 2021 9:35AM