Novel Index of Budget Allocation to Practical Projects of Intelligent Transportation Systems in a Transit Corridor

Document Type : Research Paper

Author

Department of GeoTechnic and Transportation / Faculty of Civil Engineering, Water and Environment / Shahid Beheshti University of Tehran

Abstract

One of the new ways to improve the performance of roads is to make them smarter. To use intelligent transportation systems(ITS), various measures have been taken in different countries, and Iran has also been pushed in this direction. One of the problems regarding needs assessment, installation, and implementation of intelligent transportation systems is the priority of their purchase and implementation. This is especially evident in the main corridors of the country, which include several main roads. The prioritization of practical projects of intelligent transportation systems is considered in budget shortfall and is the basis for decision-making of those involved. To prioritize intelligent transportation systems projects, the selection of criteria and ranking techniques are very important. The purpose of this study is to prioritize ITS projects in one of the main corridors of the country (Tehran-Bandar Imam) The reason for choosing the corridor was its long length, the existence of different hierarchies of roads, as well as the needs of different intelligences. In this regard, the intelligent projects defined in this corridor have been prioritized using the criteria of execution time, benefit/cost, and ease of implementation, proposing a new index. The new prioritization index is designed according to the average of solutions. The results showed that among the proposed intelligent system projects, the use of versatile video surveillance cameras, new speed cameras, variable message boards, and automatic accident detection system, respectively, had a higher priority than other projects. The research results are used to select practical projects in budget constraints.

Keywords

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International Journal of Transportation Engineering
Volume 9, Issue 3 - Serial Number 35
January 2022
Pages 735-747

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