Data-driven solutions to transportation problems
by Wang, Yinhai Zeng, Ziqiang, (Assistant professor)
Data-Driven Solutions to Transportation Problems explores the fundamental principle of analyzing different types of transportation-related data using methodologies such as the data fusion model, the big data mining approach, computer vision-enabled traffic sensing data analysis, and machine learning. The book examines the state-of-the-art in data-enabled methodologies, technologies and applications in transportation. Readers will learn how to solve problems relating to energy efficiency under c…
Read More ↓Title Statements
- Full title :Data-driven solutions to transportation problems / edited by Yinhai Wang, Ziqiang Zeng.
Summary
Data-Driven Solutions to Transportation Problems explores the fundamental principle of analyzing different types of transportation-related data using methodologies such as the data fusion model, the big data mining approach, computer vision-enabled traffic sensing data analysis, and machine learning. The book examines the state-of-the-art in data-enabled methodologies, technologies and applications in transportation. Readers will learn how to solve problems relating to energy efficiency under connected vehicle environments, urban travel behavior, trajectory data-based travel pattern identification, public transportation analysis, traffic signal control efficiency, optimizing traffic networks network, and much more.
Read More ↓Edition Statements
- Publication Date:©2019
Publication Statements
- Publisher(s):Elsevier
- Place of Publication:Amsterdam, Netherlands
- Language:eng
- Publication Date:©2019
The Physical Object
- Description:xxvi, 273 pages: : illustrations, maps ; : 23 cm
Edition Identifiers
- ISBN:9780128170267, 0128170263
- oclc:on1047781417
- LC Classification:HE192.5
- Dewey Decimal:388.01/5118
Table of Contents
1. Overview of data-driven solutions -- 2. Data-driven energy efficient driving control in connected vehicle environment -- 3. Machine learning and computer vision-enabled traffic sensing data analysis and quality enhancement -- 4. Data-driven approaches for estimating travel time reliability -- 5. Urban travel behavior study based on data fusion model -- 6. Urban travel mobility exploring with large-scale trajectory data -- 7. Public transportation big data mining and analysis -- 8. Simulation-based optimization for network modeling with heterogeneous data -- 9. Network modelling and resilience analysis of air transportation : a data-driven, open-source approach -- 10. Health assessment of electric multiple units.
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