Versatile Car Sharing Modelling for Sustainable Mobility with Embedded Intelligent Modules

Abstract

The continuous growth of the population in the cities has caused several problems in the urban mobility worldwide. Sustainable mobility is in the center of the strategy that challenges the current situation in the transportation systems which are mainly based on private cars. MaaS, a concept that gains ground on the mobility problems, holds a key role on the transition towards a sustainable mobility era. The sustainable city of the future will offer flexible, optimized and personalized transport solutions to travelers, based on the principles of MaaS, on a daily basis. Travelers will have the option to choose shared mobility solutions instead of owing a car. Today there are plenty of technologies and apps offering MaaS solutions. Yet, their effectiveness and the users’ acceptance are still premature. In this paper we describe a complete s/w interface, named as Need4Car, which supports car sharing solutions of any type, as a part of a MaaS system, for any fleet of any kind of operator (rental companies, car dealers, municipalities etc). The platform serves a large set of car sharing features related with data from vehicles, users, transactions management as well as fleet management components. It also contains tools for analysis and visualization of the data and modules based on machine learning approaches to support management decision. Driving behavior module is presented in this paper as an AI module of the platform. More AI tools can be easily added and integrated using the options of the system and especially the administrative dashboard. The whole system stands today as a product in the mobility market with various customers form different countries in the globe.