2007Unpublished venueRequires access

SUE traffic assignment model based on travel time budget

Zheng Ying-jie

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Abstract

Link and route travel time distributions in a degradable road network are analyzed by assuming that link capacity follows a uniform distribution.We propose that travelers acquire the variability of route travel time based on past experiences and factor variability into their route choice consideration in the form of a travel time budget,which is the summation of the mean route travel time and a travel time safety margin.This study then formulates a travel time budget-based stochastic user equilibrium traffic assignment model with multiple user classes and elastic demand as a variational inequality problem,in the meanwhile,the equivalence of the proposed VI model is proved.

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Link and route travel time distributions in a degradable road network are analyzed by assuming that link capacity follows a uniform distribution.We propose that travelers acquire the variability of route travel time based on past experiences and factor variability into their route choice consideration in the form of a travel time budget,which is the summation of the mean route travel time and a travel time safety margin.This study then formulates a travel time budget-based stochastic user equilibrium traffic assignment model with multiple user classes and elastic demand as a variational inequality problem,in the meanwhile,the equivalence of the proposed VI model is proved.

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Available abstract

Link and route travel time distributions in a degradable road network are analyzed by assuming that link capacity follows a uniform distribution.We propose that travelers acquire the variability of route travel time based on past experiences and factor variability into their route choice consideration in the form of a travel time budget,which is the summation of the mean route travel time and a travel time safety margin.This study then formulates a travel time budget-based stochastic user equilibrium traffic assignment model with multiple user classes and elastic demand as a variational inequality problem,in the meanwhile,the equivalence of the proposed VI model is proved.

Key concepts: Travel time, Equivalence (formal languages), Variational inequality, Time budget, Computer science, Transport engineering, Arrival time, Margin (machine learning)

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