A Note on Hotspot Identification For Urban Expressways

Hotspot identification (HSID) is of great importance to land transport authorities (e.g. the Land Transport Authority (LTA) of Singapore) in their efforts to improve the safety of highways. Based on a survey of experienced engineers at the LTA of Singapore, the authors draw the conclusion that the severity of crashes should not be neglected in the HSID process. Accordingly, in this technical note, societal risk-based simple ranking and empirical Bayesian methods are proposed to identify the hotspots in a Singapore expressway on the basis of the detailed three-year casualty data in the Historical Crash Damage (HCD) database. The authors conduct a consistency analysis to compare the societal risk-based method and the conventional frequency-based method. The consistency analysis reports that (1) the frequency-based method is more consistent than the societal risk-based method, and (2) the empirical Bayesian method is more consistent than the simple ranking method.

Language

  • English

Media Info

Subject/Index Terms

Filing Info

  • Accession Number: 01528810
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Apr 15 2014 12:20PM