Proactive detection of high collision concentration locations on highways

Koohong Chung, Kitae Jang, Samer Madanat, Simon Washington

Research output: Contribution to journalConference article

Abstract

In previous research (Chung et al, 2009), the potential of the Continuous Risk Profile (CRP) to proactively detect the systematic deterioration of freeway safety levels was presented. In this paper this potential is investigated further, and an algorithm is proposed for proactively detecting sites where the collision rate is not sufficiently high to be classified as a high collision concentration location but where a systematic deterioration of safety level is observed. The approach proposed compares the weighted CRP across different years and uses the cumulative sum (CUSUM) algorithm to detect the sites where changes in collision rate are observed. The CRPs of the detected sites are then compared for reproducibility. When high reproducibility is observed, a growth factor is used for sequential hypothesis testing to determine if the collision profiles are increasing over time. Findings from applying the proposed method using empirical data are documented in the paper together with a detailed description of the method.

Original languageEnglish (US)
Pages (from-to)634-645
Number of pages12
JournalProcedia - Social and Behavioral Sciences
Volume17
DOIs
StatePublished - 2011

Keywords

  • Continuous risk profile
  • Hot spot identification
  • Proactive detection

ASJC Scopus subject areas

  • Social Sciences(all)
  • Psychology(all)

Fingerprint Dive into the research topics of 'Proactive detection of high collision concentration locations on highways'. Together they form a unique fingerprint.

  • Cite this