title: The role of experience and advanced training on performance in a motorcycle simulator.
abstract: Motorcyclists are over-represented in collision statistics. While many collisions may be the direct fault of another road user, a considerable number of fatalities and injuries are due to the actions of the rider. While increased riding experience may improve skills, advanced training courses may be required to evoke the safest riding behaviours. The current research assessed the impact of experience and advanced training on rider behaviour using a motorcycle simulator. Novice riders, experienced riders and riders with advanced training traversed a virtual world through varying speed limits and roadways of different curvature. Speed and lane position were monitored. In a comparison of 60 mph and 40 mph zones, advanced riders rode more slowly in the 40 mph zones, and had greater variation in lane position than the other two groups. In the 60 mph zones, both advanced and experienced riders had greater lane variation than novices. Across the whole ride, novices tended to position themselves closer to the kerb. In a second analysis across four classifications of curvature (straight, slight, medium, tight) advanced and experienced riders varied their lateral position more so than novices, though advanced riders had greater variation in lane position than even experienced riders in some conditions. The results suggest that experience and advanced training lead to changes in behaviour compared to novice riders which can be interpreted as having a potentially positive impact on road safety.
authors.affiliation: Division of Psychology, School of Social Sciences, Nottingham Trent University, Nottingham, UK. Electronic address: david.crundall@ntu.ac.uk.
authors.forename: David
authors.initials: D
authors.lastname: Crundall
authors.affiliation: Human Systems Integration Group, Faculty of Engineering and Computing, Coventry University, Coventry, UK.
authors.forename: Alex W
authors.initials: AW
authors.lastname: Stedmon
authors.affiliation: Human Factors Research Group, Faculty of Engineering, University of Nottingham, Nottingham, UK.
authors.forename: Elizabeth
authors.initials: E
authors.lastname: Crundall
authors.affiliation: Human Factors Research Group, Faculty of Engineering, University of Nottingham, Nottingham, UK.
authors.forename: Rossukorn
authors.initials: R
authors.lastname: Saikayasit
mesh_terms: D000063:Accidents, Traffic / Q000706:statistics & numerical data; D005260:Female; D006801:Humans; D008297:Male; D009049:Motorcycles / Q000706:statistics & numerical data; D012449:Safety; D013647:Task Performance and Analysis
keywords: Advanced training; Experience; Motorcycle; Riding behaviour