Titlebook: Dynamic Network Flows with Adaptive Route Choice based on Current Information; Lukas Graf Book 2024 The Editor(s) (if applicable) and The

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Introduction,tion and adjust their routes on-the-fly whenever they get new information about current congestion events (e.g. via traffic radio or navigational devices). To make this idea clearer, we start with a small, slightly informal example.

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Book 2024y (infinitesimally small) flow particle behaves in this way is then called an instantaneous dynamic equilibrium. After giving a mathematically precise definition of this equilibrium concept the author shows existence of those equilibrium flows, studies their computational complexity and derives bounds on their quality..

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Book 2024e their routes based on information about the current state of the network in such a way as to selfishly minimize their own arrival time at their destination. Whilst on their journey the drivers adapt their current route choices based on the changing state of the network. A dynamic flow wherein ever

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commensurate

commensurate

https://doi.org/10.1007/978-3-658-44948-3Dynamic Traffic Assignment; Adaptive Route Choice; Complexity; Dynamic Network Flows; Equilibrium Existe

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978-3-658-44947-6The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Fachmedien Wies

Assignment

,Die Grundlagen der allt?glichen Textarbeit, their choice of route based on the current state of the network as determined by the flow up to the current time. The main motivation for such models comes from the study of large-scale road traffic wherein individual drivers try to get as fast as possible from their starting point to their destina

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