Mobilising Mobility: Impact assessment of automated vehicles

There is growing consensus that public authorities have an important role to play to ensure vehicle automation delivers positive mobility outcomes and averts negative effects. To help them make the right policy choices requires an understanding of the potential impacts of automated vehicles and of the most suitable policy options.

The LEVITATE and CoEXist projects are developing knowledge and tools to help cities prepare for and steer the introduction of automated vehicles. The webinar will specifically provide insights into the methods developed for assessing the impacts of automated vehicles across a range of mobility domains and the findings from their application in real-life scenarios and using policy options such as parking regulation, road pricing and dedicated AV lanes.

This webinar was moderated by Suzanne Hoadley.

Featured speakers were:

Dr. Hitesh Boghani, Senior Research Associate at Transport Safety Research Centre, Loughborough University (representing LEVITATE)
Dr. Johan Olstam, Senior Research Leader, Swedish National Road and Transport Research Institute (representing CoEXist)
Prof. Andrew Morris, Professor of Human Factors in Transport Safety at Loughborough University (representing LEVITATE)

The webinar was a Polis initiative in cooperation with the LEVITATE and CoEXist projects

Find the recording here

About LEVITATE and CoEXist

LEVITATE is currently building tools to help European cities, regions and national governments prepare for a future with increasing levels of automated vehicles in passenger cars, urban transport services and urban logistics. The project is preparing a new impact assessment framework to enable policy makers to maximise the benefits of connected and automated transport systems (CATS) and utilize the technologies to achieve societal objectives.

CoEXist is a European project which prepares the transition phase during which automated and conventional vehicles will co-exist on cities’ roads. It bridges the gap between automated vehicles (AVs) technology, transportation and infrastructure planning, by strengthening the capacities of urban road authorities and cities to plan for the effective deployment of AVs.