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Stochastic evolutions of dynamic traffic flow[electronic resource] :modeling and applications /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	388.4131
書名/作者:	Stochastic evolutions of dynamic traffic flow : modeling and applications // by Xiqun (Michael) Chen, Li Li, Qixin Shi.
作者:	Chen, Xiqun (Michael)
其他作者:	Li, Li.
出版者:	Berlin, Heidelberg : : Springer Berlin Heidelberg :, 2015.
面頁冊數:	xix, 193 p. : : ill. (some col.), digital ;; 24 cm.
Contained By:	Springer eBooks
標題:	Traffic flow - Mathematical models.
標題:	Stochastic processes.
標題:	Engineering.
標題:	Complexity.
標題:	Statistical Physics, Dynamical Systems and Complexity.
標題:	Civil Engineering.
ISBN:	9783662445723 (electronic bk.)
ISBN:	9783662445716 (paper)
內容註:	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.
摘要、提要註:	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.
電子資源:	http://dx.doi.org/10.1007/978-3-662-44572-3

Stochastic evolutions of dynamic traffic flow[electronic resource] :modeling and applications /
Chen, Xiqun (Michael)

Stochastic evolutions of dynamic traffic flowmodeling and applications /[electronic resource] :by Xiqun (Michael) Chen, Li Li, Qixin Shi. - Berlin, Heidelberg :Springer Berlin Heidelberg :2015. - xix, 193 p. :ill. (some col.), digital ;24 cm.

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.

ISBN: 9783662445723 (electronic bk.)

Standard No.: 10.1007/978-3-662-44572-3doiSubjects--Topical Terms:

602761
Traffic flow
--Mathematical models.

LC Class. No.: HE336.T7

Dewey Class. No.: 388.4131

Stochastic evolutions of dynamic traffic flow[electronic resource] :modeling and applications /
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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.
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