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’ random cho...
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| Otros Autores: | , |
| Formato: | Libro electrónico |
| Idioma: | Inglés |
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Berlin, Heidelberg :
Springer Berlin Heidelberg
2015.
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| Colección: | Springer eBooks.
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| Acceso en línea: | Conectar con la versión electrónica |
| Ver en Universidad de Navarra: | https://innopac.unav.es/record=b33049312*spi |
| Sumario: | 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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| Descripción Física: | XIX, 193 p., 65 il., 56 il. col |
| Formato: | Forma de acceso: World Wide Web. |
| ISBN: | 9783662445723 |
