A new methodology for approaching motorcycle riders’ behavior at curved road sections

European Transport Research Review

Original Paper

G. Botzoris¹  T. Karakasidis²  N. E. Eliou²  P. V. Lemonakis² 

[1] Department of Civil Engineering, Democritus Thrace University, Vas. Sofias 12, 67100, Xanthi, Greece;Department of Civil Engineering, University of Thessaly, Pedion Areos, 383 34, Volos, Greece;

关键词: Motorcyclists’ behavior;    Riders’ behavior;    Ordinary least square method;    Radius curve;    Operating speed;    Speed equations;    GPS;   

DOI  :  10.1007/s12544-014-0132-6

 received in 2013-02-11, accepted in 2014-01-08,  发布年份 2014

来源: Springer

【 摘 要 】

ObjectiveThe present paper focuses on the investigation of motorcycle riders’ behavior at curved road sections by introducing a new methodology based on global positioning system (GPS) technology. In the frame of the research, the determination of the optimum regression curve between the curve radius’ and the corresponding velocities, was investigated.DesignWithin the context of the paper field measurements were conducted, with the use of appropriate velocity recording equipment in order to confirm the efficiency of the proposed methodology. The measurements were conducted taking into account various factors that potentially influence riders’ behavior such as the different light conditions, the difference on riding experience level, the familiarity of the riders with the routes, the presence of pillion and the different road environments, such as width/condition of the road pavement, roadside land use, right/left hand curves etc.SettingThe experimental environment that served the needs of the experiment was mountain Pelion in Magnesia region in Greece and was based upon four primary conditions: the location, the type of the road, the weather conditions and finally, the time and date that the experiment would be conducted.ParticipantsThe validation of the proposed methodology was performed by recruiting two motorcyclists. Their selection was based on demographic, psychometric and experience criteria.ResultsThe research showed among others, that the regression curves could be used as a curve classification mean. Moreover, a significant variation was detected on the riders’ behavior when carrying a pillion related to their experience levels.

【 授权许可】

Unknown   
© The Author(s) 2014