Developing a Cluster-Based Algorithm for Collision Hotspot Identification

Traffic safety is one of the most important goals for roadway design and traffic system operations. Collision hotspot identification serves as a major fundamental component for traffic safety performance measurements. With identified collision hotspots, limited resources can be better allocated to improve roadway safety. There has been a significant amount of studies on collision hotspots identification over the past decades. However, most studies only considered crash counts as the sole roadway safety performance indicator. In this study, a new cluster-based method is proposed to quantify roadway safety conditions. This method is able to incorporate more heterogeneous safety-related factors for clustering, such as crash fatality, injuries, and average collision duration. Compared with the prevailing Empirical Bayes methods, the authors cluster-based method demonstrates its improved accuracy and efficiency, and can be easily implemented in practice.

• Record URL:
  https://doi.org/10.1061/9780784413623.228
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784413623
• Supplemental Notes:
  • © 2014 American Society of Civil Engineers.
• Corporate Authors:

  American Society of Civil Engineers

  1801 Alexander Bell Drive
  Reston, VA  United States  20191-4400
• Authors:
  • Bi, Chaofan
  • Ma, Xiaolei
  • Zhang, Yingying
  • Wang, Yinhai
• Conference:
  • 14th COTA International Conference of Transportation Professionals
  • Location: Changsha , China
  • Date: 2014-7-4 to 2014-7-7
• Publication Date: 2014-6

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 2381-2395
• Monograph Title: CICTP 2014: Safe, Smart, and Sustainable Multimodal Transportation Systems

Subject/Index Terms

• TRT Terms: Crash data; Fatalities; High risk locations; Highway design; Injuries; Performance measurement; Traffic safety
• Subject Areas: Highways; Safety and Human Factors; I82: Accidents and Transport Infrastructure;

Filing Info

• Accession Number: 01531194
• Record Type: Publication
• ISBN: 9780784413623
• Files: TRIS, ASCE
• Created Date: Jul 24 2014 3:21PM