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

fYear

2004

fDate

3-6 Oct. 2004

Firstpage

459

Lastpage

464

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Transportation Systems, 2004. Proceedings. The 7th International IEEE Conference on

Print_ISBN

0-7803-8500-4

Type

conf

DOI

10.1109/ITSC.2004.1398943

Filename

1398943