This paper aims to develop a neural network model for analyzing the users waiting time of an intercity transit station with feeder bus services. The behaviors of users for intercity transit systems are significantly different from those of urban bus systems. If the urban bus system is always considered as a major feeder mode of the intercity transit, users waiting time and relevant behaviors for the intercity transit system should be influenced by the reliabilities of the feeder bus services. A precise mathematical model of the users waiting time for an intercity transit system has been developed by earlier studies, however, it is somehow difficult to employ. Therefore, a user-friendly neural network model which is trained according to the original mathematical model is proposed in this paper.
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