Game theoretic approach for public multi‐mode transportation in smart cities

Abstract

Here, a dynamic multi-mode transportation model is developed in which the passenger, for his trip, can use one or a combination of the transportation forms such as a car, a bus or a bicycle. This model is based on the game theory concept-based trip cost-optimization and it is called game theory multi-mode transportation. The proposed system is implemented through a realistic scenario in a specific city using the OMNET++ and the OpenStreetMap software tools. The results show that the average trip price and the average trip time are improved when using the proposed model.