International Journal of Information Technology & Computer Science ( IJITCS )
The present study aimed to demonstrate how an instrumented vehicle, a bicycle, can objectively measure the motorized vehicle-related factors, road-related factors, and bicyclist-related factors to explore the concerned traffic safety issues, such as how the factors influenced motorists’ decisions about initial passing distances for a bicyclist. An urban-style bicycle was fitted with one global positioning system, one multi-function logger (including a 3-axis accelerometer, a gyroscope, and a compass), two ultrasonic distance sensors, eight proximity switches, one variable resistor, and five car camera DVR black boxes. There were thirty-four participants using the instrumented vehicle in real traffic. The study clearly demonstrated how the factors influenced the motorists’ initial left-side passing distance, including the motorized vehicles, road-related factors, and bicyclist-related factors. The present study demonstrated that an instrumented vehicle is capable of collecting rich data concerning users’ behaviors, which could potentially be utilized in various types of studies. However, this method requires a large sample and considerable time and effort for data processing.
: Instrumented bicycle, Behavior index, Naturalistic riding
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