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Stochastic Evolutions of Dynamic Traffic Flow Modeling and Applications / by Xiqun (Michael) Chen, Li Li, Qixin Shi.

By: Chen, Xiqun (Michael)., autor.
Contributor(s): Li, Li., autor. | Shi, Qixin., autor.
Material type: materialTypeLabelE-bookSeries: (Engineering (Springer-11647)).Publisher: Berlin, Heidelberg : Springer International Publishing, 2015Description: 1 recurso en línea (XIX, 193 páginas 65 ilustraciones, 56 ilustraciones a color.).ISBN: 9783662445723.Subject: Procesos estocásticos | Ingeniería de tráficoOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)Digital Resources
Contents:
Introduction. - Literature Review -- Empirical Observations of Stochastic and Dynamic Evolutions of Trac Flow -- A Markov Model Based on Headway/Spacing Distributions -- Stochastic Fundamental Diagram Based on Headway/Spacing Distributions -- Trac Flow Breakdown Model Based on Headway/Spacing Distributions -- Conclusions and Future Work.
Abstract: 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.
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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
LIBRO-E NO PRÉSTAMO LIBRO-E NO PRÉSTAMO Madrid Digital Acceso Electrónico (UEM) Ciencias Sociales HE336 .T7 C446 2015 EB (Browse shelf(Opens below)) Acceso electrónico eBook.12112454
Total holds: 0

Introduction. - Literature Review -- Empirical Observations of Stochastic and Dynamic Evolutions of Trac Flow -- A Markov Model Based on Headway/Spacing Distributions -- Stochastic Fundamental Diagram Based on Headway/Spacing Distributions -- Trac Flow Breakdown Model Based on Headway/Spacing Distributions -- Conclusions and Future Work.

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.

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