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Identifying major issues and challenges in mobility and transport systems; designing smart mobility models; assessing the future evolution of transport systems; and improving innovation in urban mobility.



1) Mobility in the City of Tomorrow
• Urban mobility system (transit oriented development, flow analysis, multimodality and soft mobility…) ; 
• Activity-based multi-agent modelling and mobility in the smart city ;
• Urban and interurban routes, pendula flows ;
• Modification of infrastructures ; 
• Legal and regulatory environment (PDU and climate plan, evolution of legislation, open data …)
• Economic models

2) Human behavior change
• Resident and occasional users
• Multimodality and Intermodality: public transport, carsharing, carpooling, soft mobility
• Contributing users 
• Communication to users / citizens 
• Teleworking, Time offset

3) The vehicle in its environment
• Evolution of Information Systems
• Connected / hyperconnected vehicle; Autonomous vehicle; Open Data WiFi Vehicle, CAM
• « Sensor » vehicle
• Digital services

Learning outcomes

• Identify major issues in mobility and transport systems
• Conceive smart mobility models
• Assessing future evolution of transport systems
• Improve innovations in urban mobility

Learning approach

• Blended learning and use of ICT tools
• Smart City Innovation Center
• Visit to Mobility Supervising Center of MNCA