Real-Time Traffic Safety Evaluation Model for Freeways in Foggy Conditions

In order to predict the real-time traffic safety for freeways in foggy weather, a safety evaluation model based on improved entropy weight method is proposed. Speed and visibility are taken as the evaluation indicator. The membership function is composed of the rise semi-trapezoid distribution, the trapezoid distribution, and the falling semi-trapezoid distribution. The improved entropy weight method is adopted to improve the objectivity of the weight, and the weighted average method is utilized to evaluate the safety level. The model is verified by using traffic data and meteorology data of G4. The results demonstrate that the predicted results based on the improved entropy weight method are consistent with the measured results, which can accurately reflect the safety level of freeways in foggy weather.

• Record URL:
  • https://doi.org/10.1061/9780784482292.277
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784482292
• Supplemental Notes:
  • © 2019 American Society of Civil Engineers.
• Corporate Authors:

  American Society of Civil Engineers

  1801 Alexander Bell Drive
  Reston, VA  United States  20191-4400
• Authors:
  • Wang, Rong
  • Gu, Yuanli
  • Huang, Entan
• Conference:
  • 19th COTA International Conference of Transportation Professionals
  • Location: Nanjing , China
  • Date: 2019-7-6 to 2019-7-8
• Publication Date: 2019-7

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Monograph Title: CICTP 2019: Transportation in China—Connecting the World

Subject/Index Terms

• TRT Terms: Fog; Freeways; Traffic models; Traffic safety; Traffic speed; Visibility; Weather conditions
• Subject Areas: Environment; Highways; Safety and Human Factors;

Filing Info

• Accession Number: 01715134
• Record Type: Publication
• ISBN: 9780784482292
• Files: TRIS, ASCE
• Created Date: Aug 28 2019 5:17PM