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Prediction of traffic accidents hot spots using fuzzy logic and GIS

  • Aslam Al-OmariEmail author
  • Nawras Shatnawi
  • Taisir Khedaywi
  • Tasneem Miqdady
Original Paper
  • 14 Downloads

Abstract

The purpose of the current study is to predict accident hot spots in different locations using Geographic Information System (GIS) and fuzzy logic. The data used contained accident types and occurrence time. Fatality and injury were also studied with spatial-temporal analysis. Moreover, accident hot spots were predicted performing Weighted Overlay Method (WOM) and Fuzzy Overlay Method (FOM), which are widely used in decision making and alternatives analysis based on the results obtained from Analytic Hierarchy Process (AHP). Point Density (PD) method was used to verify hot spots in urban region that resulted from the mentioned two methods. Traffic accidents’ hot spots were predicted for Irbid City in Jordan using the data of the accidents that occurred between 2013 and 2015. Both WOM and FOM proved to be successful in identifying hot spots in parts of study area when verified to PD surface. Final results showed that eight hot spots were pointed out; three are road sections and five are major intersections, which were analyzed to get accident-contributing factors and suggest the proper remedies.

Keywords

Traffic accidents Hot spots Fuzzy logic AHP GIS Transportation 

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Copyright information

© Società Italiana di Fotogrammetria e Topografia (SIFET) 2019

Authors and Affiliations

  1. 1.Civil Engineering DepartmentJordan University of Science and TechnologyIrbidJordan
  2. 2.Surveying and Geomatics Engineering DepartmentAl-Balqa Applied UniversityAl-SaltJordan

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