登入
選單
返回
Google圖書搜尋
Data-Driven Traffic Engineering
Hubert Rehborn
Micha Koller
Stefan Kaufmann
其他書名
Understanding of Traffic and Applications Based on Three-Phase Traffic Theory
出版
Elsevier
, 2020-10-23
主題
Transportation / General
ISBN
0128191392
9780128191392
URL
http://books.google.com.hk/books?id=9N4EEAAAQBAJ&hl=&source=gbs_api
EBook
SAMPLE
註釋
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. - Provides an empirically-driven analysis of traffic measurements/congestion based on real-world data collected from a global fleet of vehicles - Applies Kerner's three-phase traffic theory to empirical data - Offers a critical scientific understanding of the underlying concerns of traffic control in automated driving and intelligent transport systems