Motorcycle simulator solutions for rider research

Alex W. Stedmon, David Crundall, Dave Moore, Mark S. Young

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Motorcyclists represent one of the most vulnerable forms of road user. In the UK, motorcyclists are generally considered to be around 51 times more likely to be killed or seriously injured (KSI) than car drivers (Department for Transport 2007). Recent data also indicate that motorcyclists are involved in 9.5% of all recorded collisions (Department for Transport 2012a) and account for 21.5% of KSI statistics (Department for Transport 2012a). Over the last decade motorcycles have only contributed to around 1% of the 300 billion vehicle miles travelled in any single year (Department for Transport 2012b), further compounding the underlying vulnerability of these road users compared to other forms of transport. While many incidents may be caused by other road users (Clarke et al. 2007; Crundall, Crundall, Clarke and Shahar 2012), a large proportion of motorcycle accidents can be attributed to rider error.

Original languageEnglish
Title of host publicationSimulators for Transportation Human Factors
Subtitle of host publicationResearch and Practice
EditorsMark S. Young, Michael G. Lenné
PublisherCRC Press
Pages67-87
Number of pages21
Edition1
ISBN (Electronic)9781317054979
ISBN (Print)9781472411433
DOIs
Publication statusPublished - 6 Jul 2017

ASJC Scopus subject areas

  • Computer Science(all)
  • Engineering(all)

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    Stedmon, A. W., Crundall, D., Moore, D., & Young, M. S. (2017). Motorcycle simulator solutions for rider research. In M. S. Young, & M. G. Lenné (Eds.), Simulators for Transportation Human Factors: Research and Practice (1 ed., pp. 67-87). CRC Press. https://doi.org/10.1201/9781315609126