Data-Driven Traffic Engineering: Understanding of Traffic and Applications Based on Three-Phase Traffic Theory
- ISBN-10
- 0128191392
- ISBN-13
- 9780128191392
- Category
- Transportation
- Pages
- 192
- Language
- English
- Published
- 2020-10-23
- Publisher
- Elsevier
- Authors
- Hubert Rehborn, Micha Koller, Stefan Kaufmann
Description
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
Get the book
Other editions
-
- 2020-11-08
- 192 pages
- Paperback
- Elsevier
Similar books
-
Transportation Science
By Yinhai Wang, Ziqiang ZengThe book examines the state-of-the-art in data-enabled methodologies, technologies and applications in transportation.
-
Data-Driven Solutions to Transportation Problems
By Yinhai Wang, Ziqiang ZengThe book examines the state-of-the-art in data-enabled methodologies, technologies and applications in transportation.
-
Traffic Management and Traffic Engineering for the Future Internet: First Euro-NF Workshop, FITraMEn 2008, Porto, Portugal, December 11-12, 2008, Revised...
By Rui Valadas, Paulo SalvadorIn [6] the time varying nature of network traffic is visually observed in Lucent data (traffic observed on the links and OD pairs of a one-router network with 5 minutes time aggregation as provided by SNMP, the Simple Network Management ...
-
Logic-Driven Traffic Big Data Analytics: Methodology and Applications for Planning
By Daniel, Shaopeng ZhongTaxi GPS data, land use data, and road network data of Shenzhen were collected. Depending on road operational conditions, the taxi GPS data were uploaded at a frequency of approximately three or four times per minute.
-
Traffic Flow Dynamics: Data, Models and Simulation
By Martin Treiber, Arne KestingJohn Jensen Abstract For most persons, the individual travel time is the most relevant criterion when planning a route from a given origin to a given destination. Road managers and national economists are interested in the total travel ...
-
Logic-Driven Traffic Big Data Analytics: Methodology and Applications for Planning
By Daniel, Shaopeng ZhongThis book starts from the relationship between urban built environment and travel behavior and focuses on analyzing the origin of traffic phenomena behind the data through multi-source traffic big data, which makes the book unique and ...
-
Breakdown in Traffic Networks: Fundamentals of Transportation Science
By Boris S. KernerFundamentals of Transportation Science Boris S. Kerner. 262. 263. 264. 265. 266. 267. 268. ... A 19, 413–427 (1985) T.L. Friesz, D. Bernstein, Foundations of Network Optimization and Games, Complex Networks and Dynamic Systems, vol.
-
Implementing Service Quality in IP Networks
By Vilho RäisänenIn what follows, we shall first study how LSPs can be set up for traffic engineering purposes. In general, LSP establishment can be control-driven or data-driven. In the first of these approaches, LSP establishment is controlled ...
-
Data Analytics for Intelligent Transportation Systems
By Mashrur Chowdhury, Amy Apon, Kakan DeyThe book examines the major characteristics of connected transportation systems, along with the fundamental concepts of how to analyze the data they produce.
-
2021 6th International Conference on Intelligent Transportation Engineering (ICITE 2021)
By Zhenyuan ZhangFinally, it elaborates that there are several common bugs in the edition of VxWorks653. ... The power vehicle is based on the technical platform of 200 km/h passenger electric locomotive, and the trailer is based on the mature 25T ...