A Prediction Accuracy-Practicality Tradeoff Analysis of the State-of-the-art Safety Performance Assessment Methods

Jaehyun So, Silja Hoffmann, Joyoung Lee, Fritz Busch, Keechoo Choi

Research output: Contribution to journalConference article

2 Scopus citations

Abstract

This study proposes advanced safety assessment methods in the perspectives of prediction performance and practicality. This study thus develops three different safety assessment approaches (simulated conflicts-incorporated, estimated conflicts-incorporated, and intersection operational attributes-based safety performance function) and utilizes two existing approaches (annual average daily traffic-based and simulated conflicts-based safety performance functions. These five safety assessment approaches are compared in terms of crash prediction performance at intersections and practicality representing the required efforts in implementing a method. The results showed that the simulated conflicts-incorporated safety performance function approach was best in terms of prediction performance while the annual average daily traffic-based safety performance function approach was best in the practicality aspect. The discussion on trade-off between prediction performance and practicality then followed based on the analysis on the prediction performance and practicality aspects. This study will be a reference to safety assessment practitioners when they need to assess safety on roadways and to select an appropriate safety assessment method with limited resources.

Original languageEnglish (US)
Pages (from-to)794-805
Number of pages12
JournalTransportation Research Procedia
Volume15
DOIs
StatePublished - Jan 1 2016
EventInternational Symposium on Enhancing Highway Performance, ISEHP 2016 - Berlin, Germany
Duration: Jun 14 2016Jun 16 2016

All Science Journal Classification (ASJC) codes

  • Transportation

Keywords

  • Accuracy-practicality tradeoff
  • Microscopic traffic simulation model
  • Safety Performance Function (SPF)
  • Surrogate safety measures
  • Traffic conflict

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