IVA – Enhanced Traveller Information
Project description
Optimize passengers’ mobility over the whole Paris Region multimodal transport network.
Real-time information improvements in public transport are massively expected and awaited by passengers – these stakes are largely shared by public authorities and transport operators. The IVA project puts passengers at the centre of its research activities with a view to offering a range of services combining public and shared mobility solutions (carpooling, car-sharing, etc.) as well as information available on the region.
IVA is a four-year project launched in September 2017 which aims to optimise passengers’ mobility over the whole Paris Region multimodal transport network. More specifically, the IVA project will propose analysis, modelling and visualisation tools combining end-users and operators approaches.
Expected results
- Determine the status of the multimodal transport system in the short and medium term;
- Develop an artificial intelligence-based mobility assistant;
- Understand and model travellers’ behaviours against traffic information in order to identify the most appropriate scenarios in case of disruption.
Implemented skills
Data science and AI | |
Human-machine interaction | |
Optimization |
Supervised thesis in the framework of the project
Thesis #1: Analysis of mobility patterns and load forecasting in public transport using ticketing data; case of the Paris metropolitan area (Ifsttar – GRETTIA)
Thesis#2: Impact of traffic information on the behaviour of passengers in public (Ifsttar – GRETTIA)