Data-driven solutions to transportation problems /
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...
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| Other Authors: | , |
| Format: | eBook |
| Language: | English |
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Amsterdam :
Elsevier,
[2019]
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| Edition: | First edition. |
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| Online Access: | Connect to the full text of this electronic book |
| 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. |
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| Physical Description: | 1 online resource (1 volume) : illustrations |
| ISBN: | 9780128170274 0128170271 |