Intelligent Cyber-Physical Systems for Autonomous Transportation

Sahil Garg, Gagangeet Singh Aujla, Kuljeet Kaur, Syed Hassan Ahmed Shah (Herausgeber)

Buch | Hardcover

XV, 288 Seiten

2022 | 1st ed. 2022
Springer International Publishing (Verlag)
978-3-030-92053-1 (ISBN)

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This book provides comprehensive discussion on key topics related to the usage and deployment of AI in urban transportation systems including drones. The book presents intelligent solutions to overcome the challenges of static approaches in the transportation sector to make them intelligent, adaptive, agile, and flexible. The book showcases different AI-deployment models, algorithms, and implementations related to intelligent cyber physical systems (CPS) along with their pros and cons. Even more, this book provides deep insights into the CPS specifically about the layered architecture and different planes, interfaces, and programmable network operations. The deployment models for AI-based CPS are also included with an aim towards the design of interoperable and intelligent CPS architectures by researchers in future. The authors present hands on practical implementations, deployment scenarios, and use cases related to different transportation scenarios. In the end, the design and research challenges, open issues, and future research directions are provided.

lt;b>Dr. Sahil Garg received the Ph.D. degree from the Thapar Institute of Engineering and Technology, Patiala, India, in 2018. He is currently a Research Associate at Resilient Machine learning Institute (ReMI) in correlation with École de technologie supérieure (ÉTS), Montréal. Prior to this, he worked as a Postdoctoral Research Fellow at ÉTS, Montreal and MITACS Researcher at Ericsson, Montreal. He has many research contributions in the area of Internet of Things, Machine Learning, Big Data Analytics, Knowledge Discovery, Cloud Computing, Software Defined Networking, and Vehicular Ad-hoc Networks. He has over 80 publications in high ranked Journals and Conferences, including 50+ top-tier journal papers and 30+ reputed conference articles. Some of his research findings are published in top-cited journals such as IEEE COMST, IEEE TNSE, IEEE TIFS, IEEE T-ITS, IEEE TII, IEEE TCC, IEEE TMM, IEEE TVT, IEEE TNSM, IEEE TSUSC, IEEE TCCN, IEEE TETC, IEEE IoT Journal, IEEE Systems Journal, IEEE Communications Magazine, IEEE Network Magazine, IEEE Wireless Communications, IEEE Consumer Electronics Magazine, FGCS, Computer Networks, JPDC, Applied Soft Computing, and Information Sciences including various International conferences of repute such as-IEEE Globecom, IEEE ICC, IEEE WCNC, IEEE CCNC, IEEE VTC, IEEE Infocom Workshops, ACM MobiCom Workshops, ACM MobiHoc Workshops, etc. He was the recipient of the prestigious Visvesvaraya PhD fellowship from the Ministry of Electronics & Information Technology under Government of India (2016-2018). He has been awarded the 2021 IEEE Systems Journal Best Paper Award; the 2020 IEEE TCSC Award for Excellence in Scalable Computing (Early Career Researcher) and the IEEE ICC best paper award in 2018 at Kansas City, Missouri. He is currently a Managing Editor of Springer's Human-centric Computing and Information Sciences (HCIS) journal; and an Associate Editor of IEEE Network Magazine, IEEE Transactions on Intelligent Transportation Systems, Elsevier's Applied Soft Computing (ASoC), and Wiley's International Journal of Communication Systems (IJCS). In addition, he also serves as the Workshops and Symposia Officer for the IEEE ComSoc ETI on Aerial Communications. He guest edited a number of special issues in top-cited journals including IEEE T-ITS, IEEE TII, IEEE IoT Journal, IEEE Network Magazine, FGCS, Computer Networks, NCAA, etc. He also served as the TPC Co-Chair/Publicity Co-chair/Special Sessions Chair/Publication Chair for several conferences. He also served as the workshop co-chair for different workshops in IEEE /ACM conferences including IEEE Infocom, IEEE Globecom, ACM MobiCom, etc. Moreover, he will also be a Symposium Chair for Aerial Communications track in IEEE ICC 2022 in Seoul, South Korea. He is a member of IEEE, IEEE Communications Society, IEEE Computer Society, IEEE Industrial Electronics Society, IEEE Software Defined Networks Community, IEEE Smart Grid Community, ACM, and IAENG.
Dr. Gagangeet Singh Aujla received his Ph.D. in Computer Science and Engineering from Thapar Institute of Engineering and Technology, Patiala, Punjab, India in 2018. He received the B.Tech. and M.Tech. degrees in Computer Science and Engineering from Punjab Technical University, Jalandhar, Punjab, India, in 2003 and 2013, respectively. He is working as an Assistant Professor in the Department of Computer Science at Durham University, Durham, UK. Prior to this he was working as a Postdoctoral Research Associate in the School of Computing, Newcastle University, United Kingdom. Before that he was working as an Associate Professor in Computer Science and Engineering Department, Chandigarh University, Mohali, Punjab, India. Prior to this, he was working as a Research Associate in Indo-Austria Research project sponsored by Department of Science and Technology, Government of India and Ministry of Science, Austria at Thapar University, India and a Visiting Researcher at t

Part I Overview of Transportation Systems.- Transportation Systems.- Future Autonomous Transportation - Challenges and Prospective dimensions.- Part II Artificial Intelligence.- Artificial Intelligence.- Artificial Intelligence: Evolution, Benefits and Challenges.- Artificial Intelligence - Need, Evolution and Applications for Transportation Systems.- Artificial Intelligence Deployment in Transportation Systems.- Part III Cyber-Physical Systems.- Cyber-Physical Systems: Historical Evolution and Role in Future Autonomous Transportation.- Cyber Physical Systems in Transportation.- Part IV Application Use Cases of Autonomous Transportation Systems.- "Correlation between Traffic Lights and Emergency Vehicles in Intelligent Transportation System".- Use Case for Underwater Transportation.- Advanced Signal Processing for Autonomous Transportation Big Data.- Deep neural network based prediction of high-speed train induced subway track vibration.- Advanced Complex Data Analysis of Autonomous Transportation for Smart City Industrial Environment.- A Meta Sensor Based Autonomous Vehicle Safety System for Collision Avoidance using Li-Fi Technology.- Part V Security Perspective in Intelligent Transportation Systems.- Secure Information Transmission in Intelligent Transportation Systems using Blockchain Technique.- "Privacy-preserved Mobile Crowdsensing for Intelligent Transportation Systems".

Erscheinungsdatum	30.04.2022
Reihe/Serie	Internet of Things
Zusatzinfo	XV, 288 p. 111 illus., 100 illus. in color.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	612 g
Themenwelt	Technik ► Elektrotechnik / Energietechnik
Schlagworte	Artificial Intelligence for Transportation Systems • Cyber Physical Systems for Transportation Systems • intelligent transportation systems • Internet of Things and Transportation Systems • Machine Learning and Transportation Systems • Smart Cities and Transportation Systems
ISBN-10	3-030-92053-4 / 3030920534
ISBN-13	978-3-030-92053-1 / 9783030920531
Zustand	Neuware