Transportation Analytics in the Era of Big Data (eBook, PDF)

Redaktion: Ukkusuri, Satish V.; Yang, Chao

• Format: PDF

Produktbeschreibung

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

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 234
• Erscheinungstermin: 28. Juli 2018
• Englisch
• ISBN-13: 9783319758626
• Artikelnr.: 53448472

Autorenporträt

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.

Inhaltsangabe

Preface.- Chapter 1. Beyond Geotagged Tweets: Exploring the Geolocalisation of Tweets for Transportation Applications.- Chapter 2. Social Media in Transportation Research and Promising Applications.- Chapter 3. Ground transportation big data analytics and third party validation - solutions for a new era of regulation and private sector innovation.- Chapter 4. A privacy-preserving urban traffic estimation system. - Chapter 5. Data, Methods, and Applications of Traffic Source Prediction. - Chapter 6. Analyzing the spatial and temporal characteristics of subway passenger flow based on smart card data.- Chapter 7. An Initial Evaluation of the Impact of Location Obfuscation Mechanisms on Geospatial Analysis.- Chapter 8. PETRA: The Personal Transport Advisor Platform and Services.- Chapter 9. Mobility Pattern Identification Based on Mobile Phone Data.