Anzeige
Erschienen in:
2015 | OriginalPaper | Buchkapitel
2. Literature Review
verfasst von : Xiqun (Michael) Chen, Li Li, Qixin Shi
Erschienen in: Stochastic Evolutions of Dynamic Traffic Flow
Verlag: Springer Berlin Heidelberg
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
Abstract
This chapter briefly reviews the development of traffic flow theory from the perspectives of macroscopic, mesoscopic, microscopic, and stochastic approaches. Some representative models and methods are summarized. Particularly, characteristics of the stochastic traffic flow modeling will be emphasized and analyzed in detail. Since headway/spacing are the fundamental parameters highly correlated with traffic flow rate, density, and speed, then probabilistic modeling of headway/spacing distributions will be categorized, such as univariate distribution, compositional distribution, mixed distribution, and random matrix theory based approach. The joint distribution of headway/spacing/velocity can be regarded as a basis for stochastic modeling of traffic state evolutions. The historical development of traffic flow theory forms a solid theoretical background for the whole book.