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Stochastic Evolutions of Dynamic Traffic Flow: Modeling and Applications

Xiqun (Michael) Chen - Personal Name;

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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Detail Information
Series Title
-
Call Number
-
Publisher
Springer; : Springer;., 2015
Collation
-
Language
English
ISBN/ISSN
978-3662515457
Classification
NONE
Content Type
text
Media Type
computer
Carrier Type
-
Edition
-
Subject(s)
Stochastic Evolutions
Dynamic Traffic Flow
Specific Detail Info
-
Statement of Responsibility
Xiqun (Michael) Chen
Other Information
Cataloger
Suwardi
Source
https://www.amazon.co.uk/Stochastic-Evolutions-Dynamic-Traffic-Flow/dp/3662515458
Validator
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  • Stochastic Evolutions of Dynamic Traffic Flow: Modeling and Applications
    Stochastic Evolutions of Dynamic Traffic Flow: Modeling and Applications
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