An Efficient Approach for Public Transportation Optimization Using Fuzzy Multiple Criteria Decision Making and Mathematical Modeling
One of the main challenges of transportation networks is to directing vehicles to their destination with the aim of reducing costs such as travel time, fuel consumption and more efficient use of existing network capacities. In fact, traffic guidance is sought after the appropriate distribution of traffic flows on all routes within the transportation network. In this paper, Hierarchical methods of the Fuzzy Analytical Hierarchy Process Model (FAHP) along with EXPERT CHOICE software are used to optimize public transport lines in which Arc GIS software is used to display transportation maps. An applied mathematical model is then developed to determine the optimal routing decisions. The study area in this study is zone 4 of Tehran. Finally, the case study for area 1 of zone 4 is described and explained by providing a mathematical model of public vehicles routing through entering the total weight of the paths obtained by the FAHP method.
All Rights Reserved for International Journal of Applied Optimization Studies (IJAOS).