- Pedro Huertas Leyva, Road Safety Research Engineer, MOVING Research Group - Dept. of Industrial Engineering, University of Florence (Italy)
Human error is the primary contributing factor in crashes involving powered-two-wheelers. A human-factor-based crash analysis methodology is key to enhancing the road safety effectiveness of rider training interventions. This webinar presents a methodology that uses in-depth data to identify the skills needed by riders in the highest risk crash configurations to reduce casualty rates. The methodology is illustrated through a case study using in-depth data of 803 powered-two-wheeler crashes.
The results underline that multi-vehicle crashes cannot be considered as a homogenous category of crashes to which the same human failure is attributed, as different interactions between motorcyclists and other road users are associated with both different types of human error and different rider reactions. The most relevant lack of skills are identified and linked to their most representative context. Our methodology can be applied with in-depth studies of different vehicles involved (e.g., cars, trucks…) and of different geography to assess whether different populations need improving the same or different competencies for safety.
The findings can provide a valuable tool for preventive actions such as rider/driver training, where instructors will know the most realistic scenario linked to a set of competencies identified as necessary to avoid rider failures in traffic conflicts. The webinar can be an opportunity to discuss the results and reflect on the appropriate means (available now or in the near future) to adapt specific skills training tasks to their most appropriate testing scenario.
FURTHER DETAILS OF INTEREST FOR PARTICIPANTS:
- Time: 28 April 2022, 11:30 am - 12:30 pm CET (Date TBC)
- Fee: This members-only event is free-of-charge
- Location: online
- Working language: English
- Registration: The deadline for registrations is 26 April 2022