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This study seeks to improve the methodology for determining the relationship between cycling dynamic performance and roadway environment characteristics across different bicyclists’ skill levels. To achieve the goal of this study, an Instrumented Probe Bicycle (IPB) equipped with various sensors was built. A naturalistic field experiment, including intersections, roundabout, alignment changes, and different road surface conditions, was conducted. Two self-reported questionnaires were used in order to obtain each participant’s skill level as well as perception on the level of cycling comfortability. The Cycling Comfortability Index (CCI) was derived from the probabilistic outcome of an Ordered Probit Model, which describes the relationship between bicycle dynamics and level of comfortability. Fault Tree Analysis (FTA), a technique widely used to measure the risk of a fault event occurrence in a system, was employed to integrate mobility and comfortability. The estimation results showed that the probability of a fault event occurrence is related to the bicyclist’s experience level, incline of the roadway, and quality of the road surface. It was also found that cycling comfort level is significantly affected by the average y-axis acceleration and the mean absolute deviation of the z-axis velocity. The results of this study have practical implications for improving bicyclist perceptions on comfortability and for increasing safety for cyclists.

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TRCLC 15-01