DocumentCode :
2498893
Title :
A Proposed Model for Determining and Giving Priority to Accident Prone Zones (Black Spot)
Author :
Zoghi, Hasan ; Hajali, Mojtaba ; Dirin, Meisam
Author_Institution :
Dept. of Eng., Islamic Azad Univ. Karaj Branch, Tehran, Iran
fYear :
2010
fDate :
23-25 April 2010
Firstpage :
410
Lastpage :
415
Abstract :
Safety topic as the same as many topics in transportation system, impresses many factors and is influenced by the other factors. In Iran the most attention was concentrated in executive engineering activities and it was conceived that with only physical adjustments, accident rate will be reduced. In recently years identification and remedying of Accident prone zones was considered by experts, but only experiments of experts and a few present statistics were criteria which define that a section is accident prone or not, whereas many affective criteria like accident prone antecedent, accidents severity and geometric, physical and traffic condition had not been utilized. This paper effort is based on identification and definition of accident prone criteria, weighting to each criterion and at least assigns accident prone number and designs a prioritization model for accident prone zones. In identification of effective criteria, Delphi method, and in constructing prioritization model, multiple criteria decision making methods are used. Although at the end of this paper a set of points will be prioritized with the proposed model.
Keywords :
forecasting theory; road safety; transportation; Delphi method; accident prone zones; black spot; executive engineering activities; safety topic; transportation system; Computer networks; Decision making; Electronic mail; Feedback; Road accidents; Road safety; Sampling methods; Statistics; Traffic control; Transportation; Accident prone zones; Priority; Rural road;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer and Network Technology (ICCNT), 2010 Second International Conference on
Conference_Location :
Bangkok
Print_ISBN :
978-0-7695-4042-9
Electronic_ISBN :
978-1-4244-6962-8
Type :
conf
DOI :
10.1109/ICCNT.2010.77
Filename :
5474466
Link To Document :
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