Large-Scale Traffic Network Control Based on Mixed Integer Non-linear System Formulation

作者: Tatsuya Kato , YoungWoo Kim , Shigeru Okuma , Tatsuo Narikiyo

DOI: 10.1109/IECON.2006.347552

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摘要: This paper presents a new framework for traffic flow control based on an integrated model description by means of Hybrid Dynamical System (HDS). The geometrical information the network is characterized Petri Net (HPN). Then, algebraic behavior transformed into Mixed Logical (MLDS) in order to introduce optimization technique. These expressions involve both continuous evolution and event driven light. HPN allows us formulate problem easily complicated large-scale due its graphical understanding. MLDS enables optimize policy light manipulability use predictive framework. Since represented can be directly corresponding MLDS, seamless incorporation two different modeling schemes provide systematic design control.

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