A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
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.
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
2004-01-01
434684 byte
Conference paper
Electronic Resource
English
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