Understanding driver planning behaviour when overtaking a bicyclist: Time to collision estimations from naturalistic driving data

Examensarbete för masterexamen

Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.12380/257392
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Type: Examensarbete för masterexamen
Master Thesis
Title: Understanding driver planning behaviour when overtaking a bicyclist: Time to collision estimations from naturalistic driving data
Authors: Mastrandrea, Sabino
Abstract: In Europe, bicyclist road fatalities have increased for the last ten years. Active safety systems such as Automated Emergency Braking can give a considerable benefit in reducing bicyclist road fatalities, but knowledge on when they should intervene is still limited. Estimation of Time to Collision (TTC) when the driver starts planning to overtake (planning point) could help in improving active safety systems, since TTC is a good estimate of the available mitigation time for the algorithms to intervene. This thesis, carried out using naturalistic driving data from the UDRIVE project, mainly consisted in extracting data from bicyclist overtaking scenarios on rural road and modelling TTC and longitudinal distance to quantify how they are influenced by different factors. The result of the estimation is that the presence of oncoming traffic and an increase in bicyclist lateral distance caused a decrease of both TTC and longitudinal distance at the planning point. Moreover, male drivers showed higher TTC at the planning point than female drivers. Interestingly, the planning point was not affected by the overtaking strategy.
Keywords: Transport;Data- och informationsvetenskap;Signalbehandling;Transport;Computer and Information Science;Signal Processing
Issue Date: 2019
Publisher: Chalmers tekniska högskola / Institutionen för mekanik och maritima vetenskaper
Chalmers University of Technology / Department of Mechanics and Maritime Sciences
Series/Report no.: Master's thesis - Department of Mechanics and Maritime Sciences : 2019:64
URI: https://hdl.handle.net/20.500.12380/257392
Collection:Examensarbeten för masterexamen // Master Theses



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