A Distributed Architecture for a Smart Multimodal Urban Mobility System

Abstract

Population growth could be considered as a direct cause of the uprising use of personal vehicles in cities around the world. Such attitude may lead to dramatic consequences, not only economically, but also socially and environmentally. To meet its dramatic consequences at different sides and to promote the use of multiple means of public transports by citizens, public authorities and transport operators seek to optimize the extraction as well as the exploitation of the multi modal information by developing Smart Interactive Systems of Assistance to the Multi modal Movement (ISAMM). However, finding the optimal multi modal path for a given person is far from being a simple task. Indeed, each potential user may have different or unique preferences regarding the: cost and / or duration of his/her journey, number of mode changes, comfort or safety levels desired. In the present study, we propose a system of four components, which based on the parameters entered by each user, proposes the optimal paths in the Pareto sense, including different public transport modes, private cars and parking availability.