"Highlighting the use of latest technologies in smart vehicles, this text will serve an ideal reference for graduate students and academic researchers in the fields of electrical engineering, electronics, and transportation engineering. It discusses important concepts including data processing techniques, graphical methods and multi-modal simulation, machine learning-based monitoring system in autonomous vehicles, edge computing and embedded storage in a comprehensive manner"--
This up-to-date reference text discusses important concepts of vehicular communication in intelligent transportation systems. The text begins by discussing the key objectives of intelligent transport systems and Vehicular ad-hoc networks (VANETs). It then goes on to discuss challenges, applications, and future trends in Vehicular ad-hoc networks. The text focuses on the organization of Artificial Intelligence (AI) and aspects of deep learning algorithms, particularly multimodal transport. The text will serve as an ideal reference for graduate students and academic researchers in the field of electrical engineering, electronics and communication engineering, and transportation engineering.
| Foreword |
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ix | |
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| Foreword |
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xi | |
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| Preface |
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xiii | |
| Editors |
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xv | |
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xvii | |
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1 Augmented Intelligence and Edge Computing: Introduction and Trending Features |
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3 | (12) |
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2 Edge Computing and Embedded Storage |
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15 | (20) |
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3 Application of VANET to Avoid Pedestrian Collision in Automotive Vehicles |
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35 | (22) |
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Part 2 Designing and Evaluation |
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4 Design of Platoon Controller with V2V Communication for Highways |
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57 | (18) |
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Nagacharan Teja Tangirala |
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5 Using Computer Simulations for Quantifying Impact of Infrastructure Changes for Autonomous Vehicles |
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75 | (22) |
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6 A Comprehensive Simulation Environment for Testing the Applications of a V2X Infrastructure |
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97 | (26) |
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7 A Novel Approach in Communication Security of Internet-of-Vehicles Using the Concept of Recurrence Relation and Symmetric Key |
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123 | (26) |
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Part 3 Smart Safety Measures and Applications |
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8 Hybrid Data Structures for Fast Queuing Operations in Vehicular Communication |
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149 | (12) |
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9 An IOT-Based Accident Detection and Rescue System - A Prototype |
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161 | (14) |
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10 Intelligent Mobility for Minimizing the Impact of Traffic Incidents on Transportation Networks |
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175 | (20) |
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| Index |
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195 | |
Nishu Gupta is currently working as an assistant professor, department of electronics and communication engineering at Vaagdevi College of Engineering, Warangal, India. He is specialized in the field of Communication and Networking. His major work is in the area of design and evaluation of MAC protocols to enhance safety applications in vehicular communication. He has published more than 32 research papers in journals of national and international repute. His research interest includes wireless communication, internet of things, internet of vehicles, autonomous vehicles, edge computing, augmented intelligence, vehicular communication, and cognitive radio Ad-hoc network.
Joel J. P. C. Rodrigues is a professor and senior researcher at the National Institute of Telecommunications (Inatel), Brazil and senior researcher at the Instituto de Telecomunicações, Portugal. He has been a professor at the University of Beira Interior (UBI), Portugal and visiting professor at the University of Fortaleza (UNIFOR), Brazil. His main research interests include the Internet of Things and Sensor networks, e-health, vehicular communications, and mobile and ubiquitous computing. He is the editor-in-chief of three reputed International Journals and editorial board member of several high-reputed journals (IEEE Communications Magazine, IEEE Wireless Communications, IEEE IoT Journal, IEEE ACCESS, etc.). He has authored or coauthored over 550 papers in refereed international journals and conferences, 3 books, and 2 patents.
Justin Dauwels is presently working as an associate professor of the School of Electrical and Electronic Engineering at the Nanyang Technological University (NTU) in Singapore. His research interests are in data analytics with applications to intelligent transportation systems, autonomous systems, and analysis of human behavior and physiology. He was a postdoctoral fellow at the RIKEN Brain Science Institute (2006-2007) and a research scientist at the Massachusetts Institute of Technology (2008-2010). He has been a JSPS postdoctoral fellow (2007), a BAEF fellow (2008), a Henri-Benedictus Fellow of the King Baudouin Foundation (2008), and a JSPS invited fellow (2010, 2011).
