Transportation Networks: Recent Methodological Advances 1999
DOI: 10.1016/b978-008043052-2/50003-2
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An Efficient Algorithm for the Continuous Network Loading Problem

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Cited by 5 publications
(2 citation statements)
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“…In the first case, route choice decisions are made for drivers entering the network at a time interval based on the experienced travel times, that is, the travel times of the previous time interval, and the link cost function is defined in terms of the average link travel times in the previous interval. Alternatively a heuristic approach to equilibrium can be based on repeating the simulation scheme a number of times and defining a link cost function including predictive terms, as proposed by Friesz et al (1) and by Xu et al (7 ).…”
Section: G I (T) S a (V(t))mentioning
confidence: 99%
“…In the first case, route choice decisions are made for drivers entering the network at a time interval based on the experienced travel times, that is, the travel times of the previous time interval, and the link cost function is defined in terms of the average link travel times in the previous interval. Alternatively a heuristic approach to equilibrium can be based on repeating the simulation scheme a number of times and defining a link cost function including predictive terms, as proposed by Friesz et al (1) and by Xu et al (7 ).…”
Section: G I (T) S a (V(t))mentioning
confidence: 99%
“…In addition, the traffic statics problem is related to special network loading problems with constant demands and route choice proportions, which have been extensively studied either by assuming link performance functions (Xu et al, 1998;Prashker and Bekhor, 1998;Wu et al, 1998;Xu et al, 1999;Chabini, 2001;Astarita et al, 2001) or with microscopic or mesoscopic models (Barcelo and Casas, 2005;Bliemer, 2007). But the new model of stationary traffic flow is both mathematically tractable and physically meaningful, since it is analytically based on network kinematic wave models, which can lead to network models .…”
Section: Introductionmentioning
confidence: 99%