A Novel Approach for Identification and Ranking of Road Traffic Accident Hotspots

El Said M.M. Zahran, Soon Jiann Tan, Yok Hoe Yap, Ena K.A. Rahman, Nurulhikmah H. Husaini

Research output: Journal PublicationConference articlepeer-review

14 Citations (Scopus)

Abstract

Road Traffic Accidents (RTA) are known to be one of the main causes of fatalities worldwide. One usef ul approach to improve road safety is through the identification of RT A hotspots along a road, so they can be prioritised and treated. This paper introduces an approach based on Geographical Information System (GI S) to identify and prioritise RTA hotspots along a road network using historical RTA data. One particular urban road in Brunei with a historically high rate of RT As, Jalan Gadong, was selected as a case study. Five years of historical RTA data were acquired from the relevant authorities and input into a GIS database. GI S analysis was then used to identify the spatial extension of the RT A hotspots. The RT A hotspots were ranked according to three different schemes: Frequency, severity and socio-economic impact of RTAs. A composite ranking scheme was also developed to combine these schemes; this enabled the prioritisation and development of intervention and maintenance programmes of the identified RTA hotspots. A visualisation method of the RTA spatial distribution within each identified RTA hotspot was also developed to determine the most risky road stretches within each hotspot, which is important for treatment prioritisation when limited resources are available.

Original languageEnglish
Article number04003
JournalMATEC Web of Conferences
Volume124
DOIs
Publication statusPublished - 29 Sep 2017
Externally publishedYes
Event6th International Conference on Transportation and Traffic Engineering, ICTTE 2017 - Hong Kong, China
Duration: 1 Jul 20173 Jul 2017

ASJC Scopus subject areas

  • Chemistry (all)
  • Materials Science (all)
  • Engineering (all)

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