Stochastic Evolutions of Dynamic Traffic Flow - Modeling and Applications (Hardcover, 2015 ed.)

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.

General

Imprint:	Springer-Verlag
Country of origin:	Germany
Release date:	September 2014
First published:	2015
Authors:	Xiqun (Michael) Chen • Lili • Qixin Shi
Dimensions:	235 x 155 x 11mm (L x W x T)
Format:	Hardcover
Pages:	193
Edition:	2015 ed.
ISBN-13:	978-3-662-44571-6
Categories:	Books > Professional & Technical > Civil engineering, surveying & building > General Books > Reference & Interdisciplinary > Communication studies > Information theory > Cybernetics & systems theory Books > Science & Mathematics > Physics > Thermodynamics & statistical physics > Statistical physics Promotions
LSN:	3-662-44571-9
Barcode:	9783662445716

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