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Traffic Injury Prevention|August 24, 2019
E-bikers' braking behavior: Results from a naturalistic cycling studyPedro Huertas-Leyva, Marco Dozza, Niccolò Baldanzini
Traffic Injury Prevention|January 25, 2023
Testing the acceptability of motorcycle-AEB system: Use of unanticipated interventions as a reliable surrogate of genuinely unexpected eventsPedro Huertas-Leyva, Giovanni Savino, Niccolò Baldanzini
Traffic Injury Prevention|March 17, 2021
Human error in motorcycle crashes: A methodology based on in-depth data to identify the skills needed and support training interventions for safe ridingPedro Huertas-Leyva, Niccolò Baldanzini, Giovanni Savino, et al.
Sensors (Basel, Switzerland)|July 28, 2022
Estimation of Head Accelerations in Crashes Using Neural Networks and Sensors Embedded in the Protective HelmetAndrea Bracali, Niccolò Baldanzini
Traffic Injury Prevention|March 12, 2021
Field testing the applicability of motorcycle autonomous emergency braking (MAEB) during pre-crash avoidance maneuverCosimo Lucci, Niccolò Baldanzini, Giovanni Savino
Accident; Analysis and Prevention|June 25, 2013
Analysis of the minimum swerving distance for the development of a motorcycle autonomous braking systemFederico Giovannini, Giovanni Savino, Marco Pierini, et al.
Traffic Injury Prevention|August 26, 2022
Motorcycle curve assist: A novel approach based on active speed control for crash injury reductionCosimo Lucci, Trevor Allen, Niccolò Baldanzini, et al.
Traffic Injury Prevention|October 31, 2018
A comparative analysis of MAIDS and ISO13232 databases for the identification of the most representative impact scenarios for powered 2-wheelers in EuropeAlessandro Grassi, Niccolò Baldanzini, Daniele Barbani, et al.
Accident; Analysis and Prevention|May 17, 2016
Crash risk: How cycling flow can help explain crash dataMarco Dozza
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