Transportation Big Data - Liu, Zhiyuan; Gu, Ziyuan
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Transportation Big Data: Theory and Methods is centered around big data theory and methods. As big data is now a key topic in transport because the volume of data has increased exponentially due to the growth in the amount of traffic (all modes) and detectors, this book provides a structured analysis of commonly used methods for handling transportation big data. It is supported by a wealth of transportation engineering examples with codes. The book offers a concise, yet comprehensive description key techniques and important tools in transportation big data analysis.

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Produktbeschreibung
Transportation Big Data: Theory and Methods is centered around big data theory and methods. As big data is now a key topic in transport because the volume of data has increased exponentially due to the growth in the amount of traffic (all modes) and detectors, this book provides a structured analysis of commonly used methods for handling transportation big data. It is supported by a wealth of transportation engineering examples with codes. The book offers a concise, yet comprehensive description key techniques and important tools in transportation big data analysis.
Autorenporträt
Dr Zhiyuan Liu is a Professor at Southeast University, China. He obtained his Ph.D. degree from the National University of Singapore, Singapore. He is currently with the National Graduate College for Elite Engineers at Southeast University, China. His research background lies in the intersection and integration of transportation system analysis, big data analytics, and machine learning methods. He has published more than 100 papers in this area