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Transit Demand Analysis And User Classification Using Automatic Fare Collection (Afc) Data, Alireza Khani
Transit Demand Analysis And User Classification Using Automatic Fare Collection (Afc) Data, Alireza Khani
PSU Transportation Seminars
Development of origin-destination demand matrices is crucial for transit planning. The development process is facilitated by transit automated data, making it possible to mine boarding and alighting patterns on an individual basis. This research proposes a novel stochastic trip chaining method which uses Automatic Fare Collection (AFC) and General Transit Feed Specifications (GTFS) data to infer an origin-destination (O-D) matrix.