Autonomous vehicles promise to be the next revolution in public transport. They should find their first users in suburban areas, which are less well served by traditional transportation networks. But for these new services to develop, we must first identify the needs and motivations of their future users and be able to respond to them, meet many of the technological and regulatory challenges, and design new business models. This is the aim of the 4 year AVENUE project consortium, led by the University of Geneva (UNIGE) with a total budget of 22 million euros and funded by the European Commission up to the level of 16 million euros.
Mobile application prototype
As responsible of the mobile services for passenger, MobileThinking started prototyping the mobile application containing the services. Through time, passengers services will improve and evolve. All the newly imagined services will be first tested and validated by users using the prototype and only then implemented.
The first theme addresses security, fluidity of traffic and ability to adapt to exceptional road situations. At first, it will be studied only in limited areas, whose environment has been previously fully mapped.
Optimization of itineraries
The second theme will optimize the vehicles itineraries in a perspective of cost reduction and user comfort. Passengers will be able to book their trip from their smartphone, via a simple and user-friendly application, offering different levels of services.
in- and out- of vehicle services
The third theme will focus on in and out of vehicle services, such as augmented reality solutions on vehicle windows, as well as assistance to meet special needs' and less autonomous passengers, such as children or seniors.
The AVENUE project consortium, for "Autonomous Vehicles to Evolve to a New Urban Experience", brings together 16 partners: academic institutions, public transport operators, autonomous vehicle manufacturers, major technology R&D companies and specialized start-ups. Among them, five Swiss. Alongside the UNIGE, the transports publics genevois (tpg) and the State of Geneva, two start-ups are indeed involved: MobileThinking, resulting from the UNIGE and BestMile, created at EPFL.
From May 14th to 16th, Carlos, on behalf of MobileThinking, went to Luxembourg to our partner, Sales-Lentz, one of the public transport companies of the project.
On November 7 and 8, Carlos and Kevin attended the second Plenary meeting of the H2020 Avenue project. It has been held in Lyon by the Keolis Group. It was a great mix of social event and very intense working sessions. The primary goal of the meeting for us was to kickstart WorkPackage 4 “Development, Adaptation […]
On August 7, Carlos and Kevin visited the Bestmile offices in Lausanne and participate in the workshop they were organizing to discuss about services related to the Avenue H2020 project. During this workshop the following project partners were present: Amobility, SLA, Keolis, tpg, MobileThinking and of course, Bestmile. Being responsible for the development of the […]
This Wednesday, July 4, 2018, three members of our team, Jérôme, Kevin and Carlos went to Lyon, more precisely in the Confluence district to meet the experts of autonomous vehicles, NAVYA. First of all, who is NAVYA in a few words? NAVYA is a French company specialising in developing innovative, smart and sustainable mobility […]
- 20min.ch - FR - Genève, labo européen des véhicules autonomes
- Agefi - FR - Genève, terrain de test pour les véhicules autonomes
- Tribune de Genève- FR - Les tests de véhicules autonomes se multiplient
- Le Temps- FR - Genève se profile comme la capitale européenne des véhicules autonomes
- tio.ch - IT - Ginevra diventerà il cantone-test per i veicoli autonomi
- ScienceDaily - EN - European cities soon to be ready for autonomous vehicles
- pddnet.com - EN - European Cities Soon To Be Ready For Autonomous Vehicles
- EurekAlert - EN - European cities soon to be ready for autonomous vehicles
For more information, you can visit the official AVENUE website or contact us directly
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 769033