Development a New Model for Using Intelligent Taxis in the Metropolis of Tehran to Organize Public Transportation: Supply And Demand Equilibrium Approach

Nowadays, one of the most important issues in the metropolises of all around the world is using the modern public transportation systems, research and development in this field which indicates the importance of using these types of systems in most countries. One of the most attractive innovation in urban transportation system is using intelligent taxis and improvement in online ordering systems; while in the metropolis of Tehran, the use of smart taxi and optimization of the network coverage is one of the important issues of the municipality. Therefore, in this paper, a new model based on two different strategies for ordering taxis in Tehran is presented for the first time. First, using the concept of the trip chain, a model called trip chain network is presented in accordance with Tehran's situation. After identifying the demand points, a density-based spatial clustering applications with noise (DBSCAN) is used to evaluate the proposed model. To improve the performance of the algorithm and set its parameters, the design of experiment method (DOE) was used and then cluster centers were designated as intelligent taxi stations. The results show centers of these clusters are the best feasible points for developing intelligent taxi stations in Tehran and 53.12 percent of the points obtained as proposed stations of smart taxis are matched with the current situations. Also, the proposed model can provide the maximum usage of taxis and reduce the wasting time for passengers to access the taxi by striking an equilibrium approach between supply and demand.