Transportation Analytics in the Era of Big Data (Complex Networks and Dynamic Systems (4))

ISBN 10: 3319758616 / ISBN 13: 9783319758619

Edité par Springer, 2018

A propos de cet article

New.

N° de réf. du vendeur ERICA77333197586166

Détails bibliographiques

• Titre: Transportation Analytics in the Era of Big Data (Complex Networks and Dynamic Systems (4))
• Éditeur: Springer
• Date de parution: 2018
• Langue: anglais
• ISBN à 10 chiffres: 3319758616
• ISBN à 13 chiffres: 9783319758619
• Reliure: Hardcover
• État de l'article: New
• Type de livre: book

A propos de ce titre

Synopsis

Presents papers from leading researchers on Transportation Analytics
Presents multi-disciplinary perspectives on Big Data Science in urban transportation
Brings together the latest thinking on urban transportation issues

À propos de l?auteur

Satish V. Ukkusuri is a professor in the Lyles School of Civil Engineering, Director of the Integrative Data Driven Transportation Networks Lab and Co-lead of the Sustainable Communities Cluster at Purdue University. His research is in the area of interdisciplinary transportation networks with current interests in data driven mobility solutions, disaster management, resilience of interdependent networks, connected and autonomous traffic systems, shared mobility platforms, dynamic traffic networks and smart logistics. He is a University Faculty Scholar (2017-present), Fulbright Fellow (2015-16), Discovery Park Fellow (2013-15), a selectee of the National Academy of Engineering (NAE) JAFOE conference (2016), a selectee of the National Academy of Science (NAS) Arab American Frontiers of Science, Engineering and Medicine in 2017 and a CUTC/ARTBA Faculty Award (2011) among other awards both nationally and at Purdue. He has published more than 250 peer reviewed journal and conference articles. He is an Area Editor of Networks and Spatial Economics and an Academic Editor of PLOS One among other editorial duties. He is a member of several national and international committees, including the TRB's Freight Logistics and Planning Committee, Emergency Evacuation Modeling Committee and a past member of the Network Modeling Committee.

Chao Yang is a Professor of Transportation Engineering at Tongji University in Shanghai, China. He has been committed to studies in the areas of big data mining, transportation planning theory, network traffic flow analysis, and traffic behavior analysis. He earned his Ph.D. degree in Municipal Engineering from Tongji University in 1999. He worked as Research Assistant at the Department of Civil Engineering in the University of Hong Kong (1998-1999), Research Fellow at the Department of Civil and Environmental Engineering in Nanyang Technological University (1999-2002), and postdoctoral scholar at the Department of Civiland Environmental Engineering in Utah State University (2002-2004). He has been working at the College of Transportation Engineering in Tongji University from 2005 to the present. He was the leader of two projects supported by the National Natural Science Foundation and one supported by the 863 Program. He has published almost 200 papers in several prestigious international journals in transportation studies, out of which 28 papers are indexed by SCI and cited for 294 times.