Stochastic Evolutions of Dynamic Traffic Flow Modeling and Applications /

This book reveals the underlying mechanisms of complexity and stochastic evolutions of traffic flows. Using Eulerian and Lagrangian measurements, the authors propose lognormal headway/spacing/velocity distributions and subsequently develop a Markov car-following model to describe drivers' rando...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Chen, Xiqun (Michael) (Autor), Li, Li (Autor), Shi, Qixin (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2015.
Edición:1st ed. 2015.
Temas:
Dynamics.
Nonlinear theories.
System theory.
Civil engineering.
Mathematical physics.
Applied Dynamical Systems.
Complex Systems.
Civil Engineering.
Theoretical, Mathematical and Computational Physics.
Acceso en línea:Texto Completo
Descripción
Sumario:This book reveals the underlying mechanisms of complexity and stochastic evolutions of traffic flows. Using Eulerian and Lagrangian measurements, the authors propose lognormal headway/spacing/velocity distributions and subsequently develop a Markov car-following model to describe drivers' random choices concerning headways/spacings, putting forward a stochastic fundamental diagram model for wide scattering flow-density points. In the context of highway onramp bottlenecks, the authors present a traffic flow breakdown probability model and spatial-temporal queuing model to improve the stability and reliability of road traffic flows. This book is intended for researchers and graduate students in the fields of transportation engineering and civil engineering.
Descripción Física:XIX, 193 p. 65 illus., 56 illus. in color. online resource.
ISBN:9783662445723

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