Car following Dynamics: Experiments and Models
EAN13
9782759831944
Éditeur
EDP sciences
Date de publication
Collection
Current Natural Sciences
Langue
anglais
Fiches UNIMARC
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Car following Dynamics: Experiments and Models

EDP sciences

Current Natural Sciences

Livre numérique

  • Aide EAN13 : 9782759831944
    • Fichier PDF, avec Marquage en filigrane
    65.99
Over the past nine decades, the field of traffic flow studies has witnessed
remarkable advancements driven by empirical data. These data have illuminated
traffic phenomena like breakdowns, oscillations, and hysteresis. However,
despite these strides, the intricate nature of traffic flow and its underlying
mechanisms remain subjects of ongoing debate and incomplete comprehension.
Robert Herman, the pioneering figure in transportation science, firmly
believed in the experimental essence of traffic theory. Unlike conventional
practices of collecting limited traffic flow data, conducting traffic
experiments empowers control of flow composition and rate, minimizes
interference from complex variables, and facilitates the discovery of
fundamental characteristics and mechanisms of traffic flow. In alignment with
Herman’s conviction, the authors of this book undertook a series of
experimental and modeling studies to delve into the intricacies of traffic
flow evolution through the lens of car-following dynamics. Rooted in systems
science and engineering theory, this book commences with experimental
exploration of traffic flow. Employing methods to unearth individual decision-
making mechanisms, the evolutionary patterns of group behavior, and their
interconnectedness, theoretical models are employed to bridge micro-mechanisms
with macro-phenomena. This approach introduces innovative ideas and methods,
fostering the refined development of urban traffic behavior and management
theory. It makes vital contributions in unraveling driver behavior and the
evolution of road traffic flow, transcending conventional theories, and
addressing globally recognized transportation challenges. Ultimately, it plays
a pivotal role in advancing modern traffic flow theory that aligns with real-
world complexities.
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