文章基本信息

标题：Developing a Novel Method for Road Hazardous Segment Identification Based on Fuzzy Reasoning and GIS
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作者：Meysam Effati ; Mohammad Ali Rajabi ; Farhad Samadzadegan 等
期刊名称：Journal of Transportation Technologies
印刷版ISSN：2160-0473
电子版ISSN：2160-0481
出版年度：2012
卷号：2
期号：1
页码：32-40
DOI：10.4236/jtts.2012.21004
出版社：Scientific Research Publishing
摘要：Roads are one of the most important infrastructures in any country. One problem on road based transportation networks is accident. Current methods to identify of high potential segments of roads for accidents are based on statistical approaches that need statistical data of accident occurrences over an extended period of time so this cannot be applied to newly-built roads. In this research a new approach for road hazardous segment identification (RHSI) is introduced using Geospatial Information System (GIS) and fuzzy reasoning. In this research among all factors that usually play critical roles in the occurrence of traffic accidents, environmental factors and roadway design are considered. Using incomplete data the consideration of uncertainty is herein investigated using fuzzy reasoning. This method is performed in part of Iran's transit roads (Kohin-Loshan) for less expensive means of analyzing the risks and road safety in Iran. Comparing the results of this approach with existing statistical methods shows advantages when data are uncertain and incomplete, specially for recently built transportation roadways where statistical data are limited. Results show in some instances accident locations are somewhat displaced from the segments of highest risk and in few sites hazardous segments are not determined using traditional statistical methods.
关键词：Fuzzy Inference Systems (FIS); Geospatial Information System (GIS); Road Hazardous Segment Identification (RHSI)