<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Boyce, D. E.</style></author><author><style face="normal" font="default" size="100%">Lee, D.-H.</style></author><author><style face="normal" font="default" size="100%">Janson, B.N.</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Variational inequality Model of Ideal Dynamic User-Optimal Route Choice</style></title><secondary-title><style face="normal" font="default" size="100%">Transportation Networks: Recent Methodological Advances. Selected Proceedings of the 4th EURO Transportation Meeting</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Advanced traffic management systems</style></keyword><keyword><style  face="normal" font="default" size="100%">Advanced Traveler Information Systems</style></keyword><keyword><style  face="normal" font="default" size="100%">Links (Networks)</style></keyword><keyword><style  face="normal" font="default" size="100%">Route choice</style></keyword><keyword><style  face="normal" font="default" size="100%">Variational inequalities (Mathematics)</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">1999</style></year></dates><pub-location><style face="normal" font="default" size="100%">Newcastle, England</style></pub-location><pages><style face="normal" font="default" size="100%">289-302</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;An ideal dynamic user-optimal (DUO) route choice model is described for predicting dynamic traffic conditions, as required for off-line evaluation of Advanced Traffic Management Systems and Advanced Traveler Information Systems. The model is formulated as a variational inequality (VI), a general way of describing a dynamic network equilibrium. Although route-based VI models have an intuitive interpretation, their computational complexity makes them intractable for real applications. Consequently, the proposed model is formulated as a link-based variational inequality for use in large-scale implementations. Using the diagonalization technique with discrete time intervals, the model is solved to a specified level of convergence. Computational results for a real, large-scale traffic network are presented.&lt;/p&gt;
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