Stochastic Evolutions of Dynamic Traffic Flow

Modeling and Applications

Qixin Shi, Xiqun (Michael) Chen, Li Li, et al.

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Springer Berlin img Link Publisher

Naturwissenschaften, Medizin, Informatik, Technik / Allgemeines, Lexika

Beschreibung

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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Schlagwörter

Headway/spacing Distribution, Multiple Heterogeneous Traffic Flow Measurements, Stochastic Fundamental Diagram, Traffic Congestion, Mesoscopic Traffic Flow Modeling, Car-following Model, Traffic Flow Breakdown Probability Model, Stochastic Evolutions of Dynamic Traffic Flow