Advanced measures to reduce cyclists' fatalities and increase comfort in the interaction with motorised



Cyclists suffer a disproportionate share of serious injuries and fatalities, and indeed in recent years that disadvantage has been growing. At the same time they often are not treated equally by traffic systems (e.g. traffic signals frequently fail to register their approach or presence). XCYCLE has the aim of developing the means to equalise the treatment of cyclists in traffic and thus both encourage cycling and make cycling safer. XCYCLE will develop: technologies aimed at improving active and passive detection of cyclists; systems informing both drivers and cyclists of an hazard at junctions; effective methods of presenting information in vehicles and on-site; cooperation systems aimed at reducing collisions with cyclists. Two relevant use cases would be bicycle interaction with large vehicles and cars at intersections and the provision of an immediate or extended green traffic light for cyclists approaching traffic signals. An in-vehicle detection system and a system of threat mitigation and risk avoidance by traffic signals will be developed. The components developed and built up will be systematically integrated, implemented and verified. A new large-scale research infrastructure in the city of Braunschweig (DE) and a second test mobile platform will be used as test site. A demo bicycle with a cooperative technology will be developed and tested as well. A user-centred approach will be adopted. Behavioural evaluation will part of the whole process: attentional responses using eye tracking data; evaluation of human-machine interface; acceptance and willingness to pay. In the Cost-Benefit Analysis behavioural changes will be translated into estimated crashes and casualties saved per system. The project will contribute to innovative and efficient advanced safety measures to reduce the number of accidents, often of high severity, involving cyclists in interaction with motorised vehicles.

Project details

Unibo Team Leader: Luca Pietrantoni

Unibo involved Department/s:
Dipartimento di Psicologia "Renzo Canestrari"
Dipartimento di Ingegneria dell'Energia Elettrica e dell'Informazione "Guglielmo Marconi"

ALMA MATER STUDIORUM - Università di Bologna(Italy)

Other Participants:
Universiteit Of Groeningen Rijksuniversiteit Groningen-Faculty Gmw (Netherlands)
KITE Solutions srl (Italy)
Imtech Trafic And Infra Bv (Netherlands)
Jenoptik Robot Gmbh (Germany)
Dlr Deutsches Zentrum Fur Luft Und Raumfahrt E.V. (Germany)
Volvo Technology Ab (Sweden)
University Of Leeds (United Kingdom)
Statens Bag-Och Transportforskningsinstitute (Sweden)

Third parties:
Volvo Lastvagnar Ab-Volvo Trucks (Sweden)

Total Eu Contribution: Euro (EUR) 5.009.332,50
Project Duration in months: 42
Start Date: 01/06/2015
End Date: 30/11/2018

Cordis webpage
Project website

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 635975 This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 635975