Introducing an Intelligent Transportation System Decision Support Model for the Highways in Iran Based on Fuzzy Logic
Milad Ghanbari1, Abozar Godarzi Mehr2, Hamid Nehzat3
1Milad Ghanbari, Ph.D. Student, Department of Construction Engineering and Management, Science and Research Branch, Islamic Azad University, Tehran, Iran.
2Abozar Godarzi Mehr, M.Sc. Student, Department of Construction Engineering and Management, Islamic Azad University, Karaj Branch, Karaj, Iran.
3Hamid Nehzat, M.Sc. Student, Department of Transportation Engineering, Islamic Azad University, Malard Branch, Tehran, Iran.
Manuscript received on June 15, 2015. | Revised Manuscript received on June 27, 2015. | Manuscript published on July 05, 2015. | PP: 101-104 | Volume-5 Issue-3, July 2015. | Retrieval Number: C2665075315/2015©BEIESP
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©The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/
Abstract: The significance of inner and inter-city highways in terms of security, environmental pollution, and the capacity and density of the lanes has led to implementation of intelligent transportation infrastructure. The use of Intelligent Transportation Systems (ITS) economizes on costs and time. ITS enjoying high technology in information processing, communications, electronic controll establish a proper and safe relationship between man, vehicles, and roads. This paper aimed to introduce a Decision Support System (DSS) in order to select the kind of intelligent transportation system for the highways in Iran. The research taking advantage of the ideas of some experts in the field of traffic and transportation performed fuzzy logic (FL) model in MATLAB software. The validity of the model was studied and confirmed in a case study of two highways.
Keywords: fuzzy logic, traffic engineering, intelligent transportation system, highway capacity, decision support system.