Title :
Developing a driver compliance model for ATIS
Author :
Lee, Chanyoung ; Yang, Fan ; Ran, Bin
Author_Institution :
Dept. of Civil & Eng., Wisconsin Univ., Madison, WI, USA
Abstract :
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.
Keywords :
Internet; data analysis; driver information systems; neural nets; regression analysis; traffic control; ANN; Web based experiment; advanced traveler information system; artificial neural network; binary logistic regression model; driver compliance model development; mail back survey; traffic congestion; traffic information dissemination; Artificial neural networks; Data analysis; Dictionaries; Information systems; Intelligent transportation systems; Logistics; Radio access networks; Telecommunication traffic; Traffic control; Urban areas;
Conference_Titel :
Intelligent Transportation Systems, 2004. Proceedings. The 7th International IEEE Conference on
Print_ISBN :
0-7803-8500-4
DOI :
10.1109/ITSC.2004.1398943
