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Mode Choice Modeling With Neural Network : Boston Area Case Study, Soon Chung
Mode Choice Modeling With Neural Network : Boston Area Case Study, Soon Chung
FIU Electronic Theses and Dissertations
Demand forecasting is an essential element in the analysis of transportation systems. It is concerned with the behavior of consumers of transportation services and facilities. We choose geographic, demographic, and socioeconomic characteristics of consumers that may affect the travel demand of each selected. We use an artificial neural network to predict travel demand with characteristics selected from three different database sources: Census Summary Tape files, TIGER/Line files, and Federal Transit Administration's National Transit GIS database.
A neural network is an information processing system that is intensely parallel and neural networks are capable of learning how to classify and associate input/output …