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- Autorius: Yinhai Wang
- Leidėjas: Elsevier
- ISBN-10: 0128170263
- ISBN-13: 9780128170267
- Formatas: 15.2 x 22.9 x 1.6 cm, minkšti viršeliai
- Kalba: Anglų
- Extra -15 % nuolaida šiai knygai su kodu: ENG15
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Aprašymas
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.
EXTRA 15 % nuolaida su kodu: ENG15
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- Autorius: Yinhai Wang
- Leidėjas: Elsevier
- ISBN-10: 0128170263
- ISBN-13: 9780128170267
- Formatas: 15.2 x 22.9 x 1.6 cm, minkšti viršeliai
- Kalba: Anglų
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.
Atsiliepimai