Abstract
This research presents a model framework of motorcycle's behaviors at signalized intersections. The adapted definition of the motorcycle's lane has been introduced. Then, motorcycle's behaviors are treated as same as passenger car's by applying the free-deceleration model and the following-deceleration model with significant modifications. At every observed time interval, the longitudinal threshold distance is estimated to identify what model a motorcycle belongs to. The distribution of reaction time for the motorcycle population is also developed. Finally, a case study is introduced to estimate parameters of proposed models using microscopic traffic data collected at an intersection in Hanoi, Vietnam.
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