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This paper deals with a quantitative evaluation of headway distribution. The analysis utilises numerical integration and statistical techniques on headway data collected for various bus routes in Evanston, Illinois, a Chicago suburb. An earlier analysis of this study concluded that the bus travel times can best be represented by a beta distribution, the parameters of which can be predicted separately - based on system characteristics - for the peak and off-peak periods. This present study accepts the beta distribution hypothesis and suggests a model to predict bus headway behaviour. The parameters r and t of that model may be derived in terms of the length of the bus route under study. The theoretical model is examined and tested against actual headway data. It is concluded that the derived distribution, with the predicted parameters, may be a valid model for the description of actual headway behaviour.(a) (TRRL)
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