Day 2 - M18 AVENUE H2020 plenary meeting

The second day of this plenary meeting is dedicated to passengers, both in terms of user requirements but also services dedicated to increase acceptance of the autonomous vehicles by the population.

Summary of the 2nd day

WP2 : Requirements Update (holo)

Gap analysis has been updated based on the 18 months experience acquired within the project. To summarize, the market became much more mature and that’s excellent for our project. Christian from holo also explained the different technical, social and regulatory barriers which are addressed within the AVENUE project.
H2020 - AVENUE projet - Application mobile pour véhicules autonome - Jour 2
Our partners at Siemens spent a lot of time analyzing the passenger needs through workshops with mobility experts, interviews with safety operators in Oslo, Luxembourg, Geneva, Bad Birnback and Berlin, interviews with passengers and intense walk-through with blind passengers in Berlin.

Passengers are really interested in the AV and they like it a lot. We also understood some of the points that should be improved like smoother breaking (which is now solved in the new software version of the shuttle), announcements of stops, a better screen inside the shuttle, etc. All in all the AVENUE consortium is very satisfied with these results and will continue working to improve all the mentioned points and more.

All this work is crucial to have a market fit product and the consortium is very thankful for all the time people spent helping us.
Lisa from Bestmile organised a workshop in order for all the partners to decide which will be the next services to be developed, both in the mobile application or directly inside the shuttles themselves. The idea here is to have a user-centric approach in order to build services that have an actual value for the population.

WP4 : Services (MobileThinking)

Carlos (MobileThinking) as the leader of WP4 introduced the work of all the different partners involved.
H2020 - AVENUE projet - Application mobile pour véhicules autonome - Jour 2
Then we had the opportunity to showcase the mobile application we build to all the consortium partners.
H2020 - AVENUE projet - Application mobile pour véhicules autonome - Jour 2
Following that, we collected feedback that will allow us to improve the application in the next development iteration.

Of course, Carlos also presented the future work and development to be done in the coming months.

WP 6 : Safety Security (CEESAR)

The security and safety within the AVENUE project is obviously a priority. Our partners at CEESAR are experts in security and safety simulations (using shuttle models). They created approximately around 100 scenarios to be tested with simulators which allow the PTO’s to put their autonomous vehicles in circulation being sure they have been tested in a thorough manner. Obviously there is much more behind that, but it will all be explained in their deliverable which will be published very soon.
H2020 - AVENUE projet - Application mobile pour véhicules autonome - Jour 2 - sécurité

WP 8 : Socio-economic and environmental evaluation (HSPF)

As part of the 360 degree approach of the AVENUE project, there is a big emphasis on environmental impact assessment as well as the economical impact and social impact.

This WP is, for the time being, not public and therefore we cannot disclose any details about. At that stage we can say for sure that we are basically facing the same challenges as any other electric vehicles. However we can assure you that these questions are entirely part of the research project and they will be a key success factor.


This second day of meeting has been intense in terms of information as well as debate and discussion. We are very happy to see all the steps forward that have been taken in terms of security, value creation and the services developed so far. We, at MobileThinking, are personally very pleased of the outcomes as we all agreed on the next steps regarding the services to be developed and they are totally aligned with our long-term plan.

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 769033