|
|
|
Title: Travel Behavior Research
Accession Number: 01456608
Record Type: Component
Availability: Find a library where document is available Abstract: Travel behavior has been an area of great interest to practitioners, researchers, and policy makers interested in the demand side of transport systems. The travel choices made by travelers have a direct impact on the performance of transport systems and networks. Moreover, our travel behavior generates both positive and negative effects on our wealth, health, and well-being. In addition, travel behavior arising from the choices of individuals is perhaps the most significant determinant of effectiveness of transport policies and schemes. It is therefore desirable to understand and predict how people make travel choices, how travel choices might affect the overall performance of the transport system, and how travelers’ behavior can be influenced in order to make it more efficient, safe, and sustainable. This article presents the grounds that justify the application of artificial intelligence (AI) techniques to travel behavior modeling and then describes the applications of a wide range of AI paradigms to travel behavior research, including fuzzy set theory, neural networks, genetic algorithms, and multiagent simulations.
Monograph Accession #: 01456594
Language: English
Authors: Avineri, ErelPagination: pp 77-85
Publication Date: 2012-11
Serial: Media Type: Web
Features: References
TRT Terms: Subject Areas: Data and Information Technology; Highways; Planning and Forecasting; Public Transportation; I72: Traffic and Transport Planning
Files: TRIS, TRB, ATRI
Created Date: Dec 10 2012 3:16PM
More Articles from this Serial Issue:
|
