Drive2theFuture - H2020 project

Duration May 2019 - May 2022


Drive2theFuture develops training, HMI concepts, incentives policies and other cost efficient measures to promote and then to comparatively assess several alternative connected, shared and automated transport Use Cases for all transport modes and with all types of users (drivers, travellers, pilots, VRUs, fleet operators and other key stakeholders), in order to understand, simulate, regulate and optimize their sustainable market introduction; including societal awareness creation, acceptance enhancement and training on use. TSE is concentrated on big data and simulation, by coordinating the work on the big data analytics and data fusion, along with the simulation model runs.

Publications within the Drive2theFuture project:

Al Haddad, C., & Antoniou, C. (2022). A data–information–knowledge cycle for modeling driving behavior. Transportation Research Part F: Traffic Psychology and Behaviour85, 83-102. Link here.


More information can be found on the project's website.