Paper Title:
Dynamic Model Research of Departure Time and Route Choice Based on Prospect Theory
  Abstract

This paper takes commuters’ daily travel as research object to build model of travel choice which contains departure time and travel route based on Prospect Theory. Choosing the time of arriving destination as reference point, commuter will choose the time at which he/she can obtain the maximum value as departure time, then establishes choice model of departure time. Using Bayesian Theory to update and adjust route’s forecasting travel time in light of traffic information provided by Advanced Traveler Information Systems (ATIS) and travelers’ previous experience information. Gets decision weighting function after having analyzed traveler’s individual subjective probability which is about the possible result for route choice, then obtains the expression of travel route’s prospect value and gets route choice model. Finally, by designing a network to analyze the dynamic choice model, and achieves expected effect.

  Info
Periodical
Advanced Materials Research (Volumes 243-249)
Edited by
Chaohe Chen, Yong Huang and Guangfan Li
Pages
4418-4421
DOI
10.4028/www.scientific.net/AMR.243-249.4418
Citation
Z. Y. Yang, G. Y. Yan, "Dynamic Model Research of Departure Time and Route Choice Based on Prospect Theory", Advanced Materials Research, Vols. 243-249, pp. 4418-4421, 2011
Online since
May 2011
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Price
$32.00
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