Identification and Prioritization of “Black Spots” without Using Accident Information | Zendy

Mahmoud​Reza Keymanesh | Zendy; Hasan Ziari | Zendy; Samira Roudini | Zendy; Ali Nasrollahtabar Ahangar | Zendy

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Identification and Prioritization of “Black Spots” without Using Accident Information

Author(s) -

MahmoudReza Keymanesh,

Hasan Ziari,

Samira Roudini,

Ali Nasrollahtabar Ahangar

Publication year - 2017

Publication title -

modelling and simulation in engineering

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.264

H-Index - 20

eISSN - 1687-5591

pISSN - 1687-5605

DOI - 10.1155/2017/1832654

Subject(s) - analytic hierarchy process , prioritization , black spot , transport engineering , identification (biology) , computer science , audit , section (typography) , accident (philosophy) , hierarchy , process (computing) , software , data mining , engineering , operations research , business , market economy , philosophy , botany , accounting , epistemology , management science , economics , horticulture , biology , operating system , programming language

It is attempted to identify and prioritize the accident prone points (black spots) in “Iraanshahr-Sarbaaz-Chabahar” road located in Baluchistan, Iran, without no use of accident data but rather using Analytic Hierarchy Process (AHP), which is the enhanced procedure of road safety audit technique. First, by surveying the whole route, all factors that could influence accidents in this road were specified; then the route was divided into eight sections; this division was performed based on the uniformity and homogeny of each section in terms of geometric design and regional conditions. In each section, potentially hazardous locations were identified and some questionnaires were prepared, which were filled by 5 road traffic experts familiar with the route; then the collected data were analyzed by Analytical Hierarchy Process (AHP) using Expert Choice Software and the black spots were identified and prioritized. Finally, these black spots were compared with the black spots that had been obtained by traffic police based on accident data

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