Transit Service Design Using Automatic Passenger Counter Data

TL;DRAbstract

Aggregated total demand is often involved in microeconomic public transport models to determine the optimal frequency and bus size on a single bus route. With the implementation of Automatic Passenger Counter (APC) systems, massive boarding and alighting counts are available for analysis. This study proposes a microeconomic model to determine frequency and bus size using APC data. The proposed model considers the influence of crowding by specifying the dependence of the value of travel time on bus occupancy. It is revealed analytically that the model performs equally well as a model that uses origin-destination (OD) flows as inputs and that ignoring the influence of crowding would result in underestimating frequency and over estimating bus size. Numerical results suggest that a model based on bus load and a given bus size underestimates frequency, and a model that uses the total demand as input tends to underestimate frequency and overestimate bus size.

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