Data-Driven Traffic Engineering: Understanding of Traffic and
Applications Based on Three-Phase Traffic Theory shifts the current
focus from using modeling and simulation data for traffic
measurements to the use of actual data. The book uses real-world,
empirically-derived data from a large fleet of connected vehicles,
local observations and aerial observation to shed light on key
traffic phenomena. Readers will learn how to develop an
understanding of the empirical features of vehicular traffic
networks and how to consider these features in emerging,
intelligent transport systems. Topics cover congestion patterns,
fuel consumption, the influence of weather, and much more. This
book offers a unique, data-driven analysis of vehicular traffic in
traffic networks, also considering how to apply data-driven
insights to the intelligent transport systems of the future.
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