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

MARC

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100 1 |a Chen, Xiqun (Michael).  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
245 1 0 |a Stochastic Evolutions of Dynamic Traffic Flow  |h [electronic resource] :  |b Modeling and Applications /  |c by Xiqun (Michael) Chen, Li Li, Qixin Shi. 
250 |a 1st ed. 2015. 
264 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg :  |b Imprint: Springer,  |c 2015. 
300 |a XIX, 193 p. 65 illus., 56 illus. in color.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
505 0 |a 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. 
520 |a 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. 
650 0 |a Dynamics. 
650 0 |a Nonlinear theories. 
650 0 |a System theory. 
650 0 |a Civil engineering. 
650 0 |a Mathematical physics. 
650 1 4 |a Applied Dynamical Systems. 
650 2 4 |a Complex Systems. 
650 2 4 |a Civil Engineering. 
650 2 4 |a Theoretical, Mathematical and Computational Physics. 
700 1 |a Li, Li.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
700 1 |a Shi, Qixin.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer Nature eBook 
776 0 8 |i Printed edition:  |z 9783662445730 
776 0 8 |i Printed edition:  |z 9783662445716 
776 0 8 |i Printed edition:  |z 9783662515457 
856 4 0 |u https://doi.uam.elogim.com/10.1007/978-3-662-44572-3  |z Texto Completo 
912 |a ZDB-2-ENG 
912 |a ZDB-2-SXE 
950 |a Engineering (SpringerNature-11647) 
950 |a Engineering (R0) (SpringerNature-43712) 

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