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Will autonomous vehicles prevent fatal motorcycle accidents?

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conference contribution
posted on 08.11.2021, 12:13 authored by Lucy Milson, Laurie BrownLaurie Brown, Andrew MorrisAndrew Morris
Aims: This study investigates the potential effectiveness of the safety systems proposed for autonomous vehicles in the mitigation and prevention of fatal motorcycle accidents. Previous research has indicated that over 90% of crashes are the caused or contributed to by human error and some studies propose that autonomous vehicles will reduce the number of crashes by reducing the occurrence of human error.
Methods: A range of qualitative methods were used in this study to analyse the suspected performance of each autonomous vehicle in each of 4 accident scenarios. A structured approach was applied to an initial analysis to highlight the mitigation effect of autonomous vehicle features and also to identify gaps in the technology.
Results: It was found that in all scenarios, many of the influencing factors could be at least mitigated if not prevented by the technologies proposed. Autonomous vehicles provide an opportunity to mitigate the consequences of motorcycle collisions with cars, due to their technologies that detect and respond to hazards regardless of conditions and all around the vehicle, therefore eliminating blind spots. However, there are many questions that require further research to enable an automated vehicle to prevent motorcycle crashes in their entirety.

History

School

  • Design and Creative Arts

Department

  • Design

Published in

Proceedings of the 7th Humanist Conference

Source

7th HUMANIST Conference

Version

AM (Accepted Manuscript)

Rights holder

© The authors

Acceptance date

26/10/2021

Copyright date

2021

ISBN

9782953171266

Language

en

Location

Rhodes, Greece

Event dates

26th October 2021 - 27th October 2021

Depositor

Prof Andrew Morris. Deposit date: 5 November 2021

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