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Yanning Zhao, Toshiyuki Yamamoto, Takayuki Morikawa. 2018: An analysis on older driver's driving behavior by GPS tracking data: Road selection, left/right turn, and driving speed. Journal of Traffic and Transportation Engineering (English Edition), 5(1): 56-65. DOI: 10.1016/j.jtte.2017.05.013
Citation: Yanning Zhao, Toshiyuki Yamamoto, Takayuki Morikawa. 2018: An analysis on older driver's driving behavior by GPS tracking data: Road selection, left/right turn, and driving speed. Journal of Traffic and Transportation Engineering (English Edition), 5(1): 56-65. DOI: 10.1016/j.jtte.2017.05.013

An analysis on older driver's driving behavior by GPS tracking data: Road selection, left/right turn, and driving speed

  • With the high older-related accident ratio and increasing population aging problem, understanding older drivers' driving behaviors has become more and more important for building and improving transportation system. This paper examines older driver's driving behavior which includes road selection, left/right turn and driving speed. A two-month experiment of 108 participants was carried out in Aichi Prefecture, Japan. Since apparently contradictory statements were often drawn in survey-based or simulators-based studies, this study collected not only drivers' basic information but also GPS data. Analysis of road selection demonstrates that older drivers are reluctant to drive on expressway not only in short trips but also in long trips. The present study did not find significant difference between older drivers and others while turning at the intersections. To investigate the impact factors on driving speed, a random-effects regression model is constructed with explanatory variables including age, gender, road types and the interaction terms between age and road types. Compared with other variables, it fails to find that age (60 years old or over) has significant impact on driving speed. Moreover, the results reflect that older drivers drive even faster than others at particular road types: national road and ordinary municipal road. The results in this study are expected to help improve transportation planning and develop driving assistance systems for older drivers.
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