Volume 12, Number 3 and A (Transaction A: Civil Engineering September 2014)                   IJCE 2014, 12(3 and A): 289-303 | Back to browse issues page


XML Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Effati M, Rajabi M A, Samadzadegan F, Shabani S. A Geospatial Based Neuro-Fuzzy Modeling for Regional Transportation Corridors Hazardous Zones Identification. IJCE. 2014; 12 (3) :289-303
URL: http://ijce.iust.ac.ir/article-1-825-en.html

Abstract:   (1659 Views)
Road transportation by way of automobiles is a very convenient means of transportation. Today, the most detrimental consequence of developing transportation systems in a country is traffic accident that places a huge financial burden on society. This paper investigates the role of information systems in transportation safety that leads to improved planning and operation of the transportation system through the application of new technologies. Current methods for identification of segments of roads with high potential of accident are based on statistical approaches. Since there are not accident records for newly built roads, these methods cannot be used for regional roads that are recently built. This paper presents a GIS based Neuro-Fuzzy modeling for identification of road hazardous zones. The results of proposed approach are compared with statistical methods. It is shown that this method is a cheaper but at the same time robust means of analyzing the level of hazard associated with each road segment under consideration, specially when data are uncertain and incomplete.
Full-Text [PDF 1223 kb]   (901 Downloads)    
Type of Study: Research Paper | Subject: Transportation

Add your comments about this article : Your username or email:
Write the security code in the box

© 2015 All Rights Reserved | International Journal of Civil Engineering

Designed & Developed by : Yektaweb