Lenard_2018_TimeToCollisionAnalysis.pdf (583.88 kB)
Time-to-collision analysis of pedestrian and pedal-cycle accidents for the development of autonomous emergency braking systems
journal contribution
posted on 2018-03-08, 11:45 authored by James Lenard, Ruth WelshRuth Welsh, Russell DantonThe aim of this study was to describe the position of pedestrians and pedal cyclists
relative to the striking vehicle in the three seconds before impact. This information is
essential for the development of e ective autonomous emergency braking systems and
relevant test conditions for consumer ratings. The UK RAIDS-OTS study provided
175 pedestrian and 127 pedal-cycle cases based on in-depth, at-scene investigations
of a representative sample of accidents in 2000–2010. Pedal cyclists were scattered
laterally more widely than pedestrians (90% of cyclists within around 80 degrees
compared to 20 degrees for pedestrians), however their distance from the striking
vehicle in the seconds before impact was no greater (90% of cyclists within 42 metres
at three seconds compared to 50 metres for pedestrians). This data is consistent with a
greater involvement of slow moving vehicles in cycle accidents. The implication of the
results is that AEB systems for cyclists require almost complete 180 degree side-to-side
vision but do not need a longer distance range than for pedestrians.
Funding
The RAIDS-OTS project was funded by the Department for Transport and Highways Agency. Funding for analysis was received from Thatcham Motor Insurance Repair Research Centre (UK) and the Insurance Institute for Highway Safety (USA).
History
School
- Design and Creative Arts
Department
- Design
Published in
Accident Analysis and PreventionVolume
115Pages
128-136Citation
LENARD, J., WELSH, R. and DANTON, R., 2018. Time-to-collision analysis of pedestrian and pedal-cycle accidents for the development of autonomous emergency braking systems. Accident Analysis and Prevention, 115, pp.128-136.Publisher
© ElsevierVersion
- AM (Accepted Manuscript)
Publisher statement
This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/Acceptance date
2018-02-28Publication date
2018-03-19Copyright date
2018Notes
This paper was published in the journal Accident Analysis and Prevention and the definitive published version is available at https://doi.org/10.1016/j.aap.2018.02.028.ISSN
0001-4575Publisher version
Language
- en