First started in 2017, the recently completed Augmented Passenger Information (IVA) project aimed to design and test a set of systems and services combining AI, modelling and behavioural studies to improve the supervision of Ile-de-France multimodal transport networks and passenger information strategies. Line H of the Transilien rail network has been chosen as the testing ground for the project’s work. Here is a look at the main technological obstacles that have been overcome and the technological assets developed with the project partners.

IRT SystemX announces the closure of its Augmented Traveller Information (IVA) R&D project. This four-year project in the Paris region brought together one institutional partner (Île-de-France Mobilités), three companies (Kisio Digital, SNCF, SpirOps) and one research group (Université Gustave Eiffel – formerly IFSTTAR). The R&D work contributed to improving the understanding of the state of the multimodal transport network and the behavior of users regarding passenger information. This work was wholy based on data sets from the Transilien network’s Line H, Kisio Digital’s Navitia route planner and real-life use cases from SNCF and Ile-de-France Mobilités.

« The improvement of real-time passenger information is a key issue for both transport operators and passengers. We have developed an innovation platform for uses around passenger information, transport and urban mobility. There are few initiatives in this field in the French research and innovation ecosystem and we are proud to have brought together five leading players in the mobility sector to help remove many major scientific and technical barriers by combining the approaches of regulators and users », explained Mostepha Khouadjia, project manager of IVA.

The project partners set out to remove the technological and scientific barriers associated with the following three issues:

  • Improving the way that the multimodal transport system is characterized and anticipating its evolution over time to provide a reliable vision to the operator running the network.
  • Understanding user behavior regarding passenger information in order to improve the regulation of flows, particularly in disrupted situations.
  • Improving the interoperability of multimodal information systems and “augmenting” information for a better passenger experience.

Several technological assets resulting from this project have been developed and transferred during these four years: the distributed route planner has been put into production at Kisio Digital and will soon extend the multimodal spectrum of the Ile-de-France Mobilités application. Predictive models for passenger load on trains have been transferred to SNCF and will be used in an operational project. Île-De-France Mobilités is studying the industrialisation of these predictive models as part of its Regional Information Platform for Mobility (PRIM). Finally, the passenger flow simulator and the transport network analysis tool have been transferred and are being tested at SNCF.

new project called MSP (Personalized Service Mobility) is being set up with the aim of continuing the work initiated in IVA. This initiative will focus on the challenges of the transition to low-carbon mobility, from a broad understanding of practices, monitoring and information tools, to change management mechanisms.

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