Häftad, Engelska, 2027

Applied Computing for Intelligent Transportation Systems

Av Shiju George, Ajit Kumar Santra, Asha Joseph

2621 kr

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Beskrivning

Applied Computing for Intelligent Transportation Systems delves into the dynamic intersection where computer science meets transportation engineering. Its comprehensive coverage of cutting-edge ITS technologies offers sought-after research insights into the most effective integration strategies achievable through applied computing-informed methodologies.

This timely, interdisciplinary exploration of the ever-progressing solutions that are contributing to the transformation of transportation systems is accompanied by sustainability-minded considerations, which are at the forefront of road- and transit-based best practices worldwide. The volume also includes practical case studies and real-world examples, showcasing success stories and lessons learnt that facilitate understanding of the feasibility of implementation in smart-city projects.

With its aim of helping to bridge the gap between the theory and practice of enhancing ITS and the infrastructure that supports them, the book proves to be a valuable resource for readers in academia as well as industry.

Systematically covers intelligent transportation systems, ensuring readers gain a solid understanding of core concepts and stay up-to-date with the most current developments.
Illustrates the tangible relevance of applied computing in transportation engineering through real-world application examples and case studies.
Prepares readers for the ever-evolving intelligent transportation systems’ landscape and to harness the full potential of applied computing in this context.

Produktinformation

Utgivningsdatum: 2027-06-01
Mått: 152 x 229 x undefined mm
Vikt: 450 g
Format: Häftad
Språk: Engelska
Antal sidor: 290
Förlag: Elsevier Science
ISBN: 9780443333781

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Mer om författaren

Dr. Shiju George is an Associate Professor and Head of the Computer Vision and Robotics (CVR) vertical at CHRIST (Deemed to be University), Bengaluru, India, and an Adjunct Research Fellow at James Cook University, Australia. He holds a Ph.D. in Intelligent Transportation Systems from Vellore Institute of Technology, Vellore, India; an M.S. in Software Systems from BITS Pilani, India; an M.E. in Computer Science and Engineering from Anna University, India; and a B.E. in Computer Science and Engineering from Guru Ghasidas Vishwavidyalaya, Bilaspur, India. He has been teaching at engineering institutions since 2002. He is a Senior Member of IEEE and a member of ISTE, ACM, CSI, LM-IAENG, and SCRS. He has authored books, book chapters, and numerous research publications. His primary research interests include Intelligent Transportation Systems, Autonomous Vehicles, Artificial Intelligence, AI Simulations, AI Ready Data, Agentic AI, Computer Vision, LLM Models, Generative AI, World Models and Digital Twins. Dr. Ajit Kumar Santra retired as a Senior Professor from the Vellore Institute of Technology (VIT), Vellore, in July 2025. He earned his Ph.D. in Operations Research with Computer Applications from the Indian Institute of Technology (IIT) Kharagpur in 1981. Over a highly diverse, four-decade career, Dr. Santra balanced 20 years of pioneering industrial research within the Indian steel sector with more than 22 years of leadership in university teaching and education management. He is a prestigious Life Member of the Computer Society of India, the Indian Society for Technical Education, and the Indian Science Congress Association. His core scientific expertise spans Applied Artificial Intelligence (AI), Machine Learning, Intelligent Transportation Systems, and Predictive Modelling, with a specific focus on Deep Learning architectures for human action and activity recognition in videos, Neural Networks, Computational Learning Theory, and Soft Computing Dr. Asha Joseph is Professor and Head of Department at New Horizon College of Engineering, Bengaluru, and an Adjunct Research Fellow at James Cook University, Australia. She has 29 years of experience across industry and academia. She received her PhD from the Vellore Institute of Technology in 2020 for research on digital evidence acquisition and operating system security, which was one of the earliest digital forensics doctoral theses in India. Her research covers cybersecurity, digital forensics, artificial intelligence and machine learning, with recent publications in quantum-driven forensics. She is a Senior Member of IEEE, Life member of ISTE and Member of National Cyber Safety and Security Standards of India.

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