Mobility Traffic Model Based on Combination of Multiple Transportation Forms in the Smart City

Abstract

In this paper, an affordable and suitable mobility system is developed for passenger with trip cost optimization in smart city concept. This system based on trip in the city by using multiple transportation forms of buses and carpooling. A Mobility Traffic Algorithm (MTA) is proposed to manage a passenger’s specific needs based on real-time information of buses and carpooling. The proposed model is implemented with a realistic scenario in the city of Ottawa using the OpenStreetMap program and the OMNET++. The results show that passenger satisfaction is improved when using a combination of multiple transportation forms in the city. Also, the simulation is proved that the stress level of the buses and carpooling during the daytime is reduced to its minimum by using MTA model.