Data-Driven Traffic Engineering
Understanding of Traffic and Applications Based on Three-Phase Traffic Theory

Shows how to more accurately analyze traffic measurements and congestion more accurately using empirically driven data from connected vehicles, sensors and drones

Hubert Rehborn (Author), Micha Koller (Author), Stefan Kaufmann (Author)

9780128191385, Elsevier Science

Paperback, published 27 October 2020

192 pages
22.9 x 15.1 x 1.3 cm, 0.32 kg

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.

1. Introduction2. How Traffic Congestion can be measured3. Analysis of Congested Traffic Pattern Features on Freeways4. Analysis of Congested Traffic Patterns in Urban Areas5. Applications of Traffic in Transportation Science6. Future Directions7. Bibliography

Subject Areas: Transport: general interest [WG]