Augmented intelligence towards smart vehicular applications

Description

Cover Half Title Title Page Copyright Page Dedication Table of Contents Foreword (by Dr. Xabiel García Pañeda). Foreword (by Dr. Neeraj Chaudhary). Preface Editors List of Contributors Part 1 Introduction Chapter 1 Augmented Intelligence and Edge Computing: Introduction and Trending Features 1.1 Introduction to Augmented Intelligence 1.2 Artificial Intelligence and Its Applications 1.3 Comparing Artificial Intelligence and Augmented Intelligence 1.4 Edge Computing 1.5 Preparing for the IoT-Driven Future 1.6 Defining the IoT’s Edge 1.7 Edge Computing Builds Privacy and Security 1.8 Benefits of Edge Computing 1.9 Applications 1.10 Challenges 1.11 Conclusion References Chapter 2 Edge Computing and Embedded Storage 2.1 Introduction 2.2.1 The Working of Edge Computing 2.2.2 Edge Computing Builds Privacy and Security 2.2 Related Works Based on Security Threats 2.3 Threat Background 2.4 Threat Model 2.4.1 Infrastructure Network 2.4.2 Infrastructure as Service 2.4.3 Infrastructure as Virtualization 2.4.4 User Devices 2.5 Open Challenges Relating to Security in Edge Computing 2.6 Summary References Chapter 3 Application of VANET to Avoid Pedestrian Collision in Automotive Vehicles 3.1 Introduction 3.2 Literature Review 3.3 Vehicular Ad Hoc Network 3.4 VANET Model Overview 3.5 VANET Settings 3.6 System Architecture and Working of VANETs 3.7 Application 3.8 Conclusion References Part 2 Designing and Evaluation Chapter 4 Design of Platoon Controller with V2V Communication for Highways 4.1 Introduction 4.2 Concept of Look-Ahead Platooning 4.3 Modelling of the Platoon 4.4 Proposed Controller Methodology 4.4.1 PID Controller Design 4.4.2 MPC Control Strategy 4.5 Platoon Maneuvers 4.6 Simulation Framework 4.7 Key Observations 4.8 Challenges 4.9 Summary Acknowledgments References Chapter 5 Using Computer Simulations for Quantifying Impact of Infrastructure Changes for Autonomous Vehicles 5.1 Introduction 5.2 Literature Review 5.3 Simulation Environment 5.3.1 VTD–ROS Interface 5.4 Proposed Bus Bay Designs 5.4.1 Bus Bay Design 1: Redesign of Taxi Pick-up/Drop-off Point to the Shared Bay for Bus and AV Shuttle 5.4.2 Bus Bay Design 2 – Elongated Bus Bay 5.4.3 Bus Bay Design 3 – AV Pick-up/Drop-off Point Separated from Bus Bay 5.5 Results and Discussion 5.5.1 Traffic Radius of 1.5 km around AV 5.5.2 Traffic Radius of 2.5 km around AV 5.5.3 Traffic Radius of 5 km around AV 5.6 Summary References Chapter 6 A Comprehensive Simulation Environment for Testing the Applications of a V2X Infrastructure 6.1 Introduction 6.2 Related Work 6.2.1 V2X Simulation Platforms 6.2.2 Existing Traffic Congestion Mitigation Methods 6.2.3 V2X-Based Traffic Congestion Mitigation 6.2.4 Green Light Optimized Speed Advisory 6.3 Simulator Design 6.3.1 Time Synchronization between a Continuous-Time Simulation Environment and a Discrete-Event Simulator 6.3.2 Dynamic Addition and Removal of Nodes in NS3 6.3.3 Choice of Appropriate Mobility Model in NS3 6.4 Simulation Setup 6.4.1 Traffic Network 6.4.2 Signal Timing 6.4.3 Fuel Consumption Modeling 6.4.4 Communication Simulation 6.5 Simulation Results 6.6 Conclusion and Future Work References Appendix A Chapter 7 A Novel Approach in Communication Security of Internet-of-Vehicles Using the Concept of Recurrence Relation and Symmetric Key 7.1 Introduction 7.2 Literature Survey 7.3 Attacks on IoVs 7.3.1 IoVs or VANETs 7.3.2 Impersonation Attack 7.3.3 Sybil Attack 7.3.4 Eavesdropping 7.3.5 Routing attacks 7.3.6 Repudiation 7.3.7 Man-in-the-middle attack 7.3.8 Symmetric key encryption 7.4 Solution Domain and Objectives 7.4.1 Symmetric key generation 7.5 Methodology 7.6 Results and Discussions 7.7 Conclusion References Part 3 Smart Safety Measures and Applications Chapter 8 Hybrid Data Structures for Fast Queuing Operations in Vehicular Communication 8.1 Introduction 8.2 Literature Survey 8.3 Message Classifications and Priority Assignment in Vehicular Communications 8.4 Quick Enqueue and Dequeue Operations 8.5 Summary References Chapter 9 An IOT-Based Accident Detection and Rescue System – A Prototype 9.1 Introduction 9.2 Literature Survey 9.3 Research Gap 9.4 Motivation 9.5 Aim 9.6 Key Contributions 9.7 Methodology 9.8 Hardware Implementation of the Proposed System 9.9 Software Implementation of the Proposed System 9.10 Results 9.11 Conclusion 9.12 Future Scope References Chapter 10 Intelligent Mobility for Minimizing the Impact of Traffic Incidents on Transportation Networks 10.1 Introduction 10.2 Different Types of Incidents 10.3 Causes of Incidents 10.4 What Is Intelligent Mobility? 10.5 Incident Duration Prediction 10.6 Incident Impact Prediction 10.7 Other Technologies 10.8 Conclusion References Index