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Insights on a stable route guidance model for real-time deployment
This paper explores the stability issues for a dynamical system based traffic assignment model for vehicular traffic networks equipped with advanced information systems and develops a real-time deployable solution algorithm. Experimental analysis suggests that the algorithm can efficiently provide real-time stable solutions while accounting for time-dependent variations in the system. The results are compared to those of the benchmark deterministic dynamic traffic assignment and the rolling horizon implementation based models.
Insights on a stable route guidance model for real-time deployment
This paper explores the stability issues for a dynamical system based traffic assignment model for vehicular traffic networks equipped with advanced information systems and develops a real-time deployable solution algorithm. Experimental analysis suggests that the algorithm can efficiently provide real-time stable solutions while accounting for time-dependent variations in the system. The results are compared to those of the benchmark deterministic dynamic traffic assignment and the rolling horizon implementation based models.
Insights on a stable route guidance model for real-time deployment
Peeta, S. (Autor:in) / Ta-Hui Yang, (Autor:in)
01.01.2001
529468 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Insights on a Stable Route Guidance Model for Real-Time Deployment
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