To alleviate traffic congestion using advanced traveler information system (ATIS), desirable travel demand shifting is essential. This can only be achieved when a driver shows positive response to the disseminated traffic information. This study aims to identify the major factors that affect driver compliance with ATIS and evaluate the contribution of each factor. A Web-based experiment and a mail-back survey have been conducted. A binary logistic regression model and artificial neural network (ANN) have been adopted to analyze the survey data and find the priorities between the identified factors.
Developing a driver compliance model for ATIS
01.01.2004
434684 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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