Innovative Applications of Big Data in the Railway Industry (Advances in Civil and Industrial Engineering) - Hardcover

Hardcover

ISBN 10: 1522531769 ISBN 13: 9781522531760

Publisher: Engineering Science Reference, 2017

Synopsis

Use of big data has proven to be beneficial within many different industries, especially in the field of engineering; however, infiltration of this type of technology into more traditional heavy industries, such as the railways, has been limited. Innovative Applications of Big Data in the Railway Industry is a pivotal reference source for the latest research findings on the utilization of data sets in the railway industry. Featuring extensive coverage on relevant areas such as driver support systems, railway safety management, and obstacle detection, this publication is an ideal resource for transportation planners, engineers, policymakers, and graduate-level engineering students seeking current research on a specific application of big data and its effects on transportation.

About this title

About the Author

Shruti Kohli is working as a lead researcher in an area of Big Data Analytics, Birmingham Centre for Railway Research and Education. Her current research revolves around Big Data application and machine learning, working on IoT sensor data for mining health of rail assets. On Academics front, She holds Ph.D. in Technology and MPhil in Operational research, and has worked with Indias leading Universities, BIT Mesra Deemed University, IP University, UPT University for 12+ years doing research and teaching in Computer Sciences. With two Ph.D. near submission, she has built a strong research base. She has a keen interest in an area of Information retrieval, Operational Research, Data Mining, Web Analytics, Simulation, and Modelling. She had been working with open crowd source data and is totally fascinated by the variety of user behavior patterns over the net and have the keen interest in web analytics. She has many publications in national and international journals and has presented the paper at international conferences

Dr. A.V.Senthil Kumar obtained his BSc Degree (Physics) in 1987, P.G.Diploma in Computer Applications in 1988, MCA in 1991 from Bharathiar University. He obtained his Master of Philosophy in Computer Science from Bharathidasan University, Trichy during 2005 and his Ph.D in Computer Science from Vinayaka Missions University during 2009. To his credit he had industrial experience for five years as System Analyst in a Garment Export Company. Later he took up teaching and attached to CMS College of Science and Commerce, Coimbatore. He is an Editor-in-Chief for International Journal titled International Journal of Data Mining and Emerging Technologies, International Journal of Image Processing and Applications and International Journal of Advances in Knowledge Engineering & Computer Science. Key Member for India, Machine Intelligence Research Lab (MIR Labs). He is an Editorial Board Member and Reviewer for various International Journals. He is also a Committee member for various International Conferences. He is a Life member of International Association of Engineers (IAENG), Systems Society of India (SSI), member of The Indian Science Congress Association, member of Internet Society (ISOC), International Association of Computer Science and Information Technology (IACSIT), Indian Association for Research in Computing Science (IARCS), and committee member for various International Conferences. He has many awards from National and International Societies. Also a freelance writer for Tamil Computer (a fortnightly) and PC Friend (monthly).

John Easton is a Lecturer currently working in the Birmingham Centre for Railway Research and Education at the University of Birmingham. His current research interests centre on methods for the storage, processing and display of railway related datasets; in particular data representation and exchange via ontologies and parallel, semi-autonomous processing by software agents. Selected work in this area has included the TRIME third-rail monitoring system, which in 2012 was the joint winner of the Stephenson Award for Engineering Innovation at the National Rail Awards, and a range of EU-funded projects including INTERAIL, AUTOMAIN, OnTime, Capacity4Rail, and In2Rail. On a day-to-day basis, John is heavily involved in the Centres £1.65 million Strategic Partnership with Network Rail on the theme of data management and integration. He also sits on the IETs Rail Technical and Professional Network executive team, and on the NSAR-led Routes into Rail group. From July 2015 to March 2016 he worked with the network simulation team on the cross industry Digital Railway programme.

Edition details

• Publisher: Engineering Science Reference
• Publication date: 2017
• Language: English
• ISBN 10: 1522531769
• ISBN 13: 9781522531760
• Binding: Hardcover
• Edition number: 1
• Number of pages: 433
• Editor: Kohli Shruti, Kumar A V Senthil, Easton John M