Dimitrakopoulos Current Technologies in Vehicular Communication

1. Auflage 2017
ISBN: 978-3-319-47244-7
Verlag: Springer Nature Switzerland
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 129 Seiten

This book provides a concise and comprehensive overview of vehicular communication technologies. It classifies all relevant standards, protocols and applications, so as to enable the reader to gain a holistic approach towards the subject of vehicular communications. The primary methods are algorithmic processes and simulation results.First, an overview and classification of vehicular technologies is presented. Then, the book focuses on specific applications of V2V and V2I communications. Special attention is given to recent research and development results regarding R&D projects in the field, in cooperation with car manufacturing companies and universities at a global level.Designed to facilitate understanding of vehicle to vehicle and vehicle to infrastructure technologies, this textbook is appropriate for undergraduate and graduate students of vehicular communications or mobile networks.


Dr. George J. Dimitrakopoulos is an assistant professor at the Department of Informatics and Telematics of the Harokopio University of Athens, Greece. He received his bachelor's degree in electrical and computer engineering from the National Technical University of Athens in 2002. He received his PhD in Digital systems from the University of Piraeus in 2007.

Autoren/Hrsg.

Dimitrakopoulos, George

Inhaltsverzeichnis

1;Preface;5
2;Contents;7
3;List of Figures;10
4;Chapter 1: Introduction: The History of Vehicular Communications;12
4.1;1.1 Goals;12
4.2;1.2 Motivation: Transportation and Its Drawbacks;12
4.3;1.3 Overview of Latest Advances in Transportation Research;13
4.3.1;1.3.1 Transport Mode Rail;13
4.3.2;1.3.2 Transport Mode Road;14
4.3.3;1.3.3 Transport Mode Air;16
4.3.4;1.3.4 Transport Mode Waterway/Sea;17
4.3.5;1.3.5 Intermodal Transport;18
4.4;1.4 Road Transport: Utilization of ICT in Vehicles: Intelligent Transport Systems (ITS);20
4.5;1.5 Conclusions;22
4.6;1.6 Review Questions;22
5;Chapter 2: Vehicular Communications Standards;24
5.1;2.1 Goals;24
5.2;2.2 Introduction;24
5.3;2.3 Wireless Access for Vehicular Environments (WAVE) and Its Migration Towards IEEE 802.11p;25
5.3.1;2.3.1 Safety-Oriented;26
5.3.2;2.3.2 Traffic Control-Oriented;27
5.3.3;2.3.3 User Comfort-Oriented;27
5.4;2.4 IEEE 1609;28
5.5;2.5 SAE J2735;29
5.6;2.6 LED-Enabled Visible Light Communications (IEEE TG 802.15.7);30
5.7;2.7 Bluetooth;32
5.8;2.8 2G and 3G Mobile Communication Infrastructures;34
5.9;2.9 4G/5G-D2D;35
5.9.1;2.9.1 Concept Overview;35
5.9.2;2.9.2 Information Sources;37
5.9.3;2.9.3 Example Data to Be Aggregated;38
5.9.4;2.9.4 Processing and Outcomes;38
5.9.5;2.9.5 Benefits of Framework;39
5.9.6;2.9.6 Operational Scenarios;40
5.9.6.1;2.9.6.1 Scenario 1: Collision Avoidance;40
5.9.6.2;2.9.6.2 Scenario 2: Automated Route Guidance for Emergency Response Vehicles;42
5.9.6.3;2.9.6.3 Scenario 3: Advanced Assisted Eco-Driving;42
5.10;2.10 ETSI and CEN Standards for V2X Communications;43
5.11;2.11 Conclusions;44
5.12;2.12 Review Questions;44
6;Chapter 3: Sustainable Mobility in Smart Cities: Traffic Assessment, Forecasting, and Management;45
6.1;3.1 Goals;45
6.2;3.2 Urban Transportation Inefficiencies;45
6.3;3.3 Smart Cities and Smart City Operations (SCOs);46
6.3.1;3.3.1 Basic Definitions;46
6.3.2;3.3.2 SCOs Challenges;47
6.3.2.1;3.3.2.1 Level of Intelligence (“Smartness”) Required;47
6.3.2.2;3.3.2.2 Technology;48
6.3.2.3;3.3.2.3 Scalability of Smart Solutions;49
6.3.2.4;3.3.2.4 Formulation of City-Specific Objectives;49
6.3.2.5;3.3.2.5 Economic Growth;50
6.3.2.6;3.3.2.6 Management and Organization;50
6.4;3.4 Sustainable Mobility: Mobility as a Service (MaaS);51
6.5;3.5 Case Studies;52
6.5.1;3.5.1 Traffic Assessment, Forecasting, and Management Applications (TAFM);52
6.5.2;3.5.2 Road Luminosity Management Applications;53
6.5.3;3.5.3 Car Pooling (Ride-Sharing);54
6.5.3.1;3.5.3.1 Business Case;54
6.5.3.2;3.5.3.2 Formal Description;57
6.5.3.2.1;Input;57
6.5.3.2.2;Objective and Solution;59
6.5.3.3;3.5.3.3 Results;60
6.5.3.3.1;Scenario 1: Regular Service;60
6.5.3.3.1.1;Robust Discovery Phase;61
6.5.3.3.1.2;Decision-Making Phase;62
6.5.3.3.2;Scenario 2: Cost-Driven Scenario;64
6.5.3.3.2.1;Robust Discovery Phase;64
6.5.3.3.2.2;Decision-Making Phase;65
6.5.3.3.3;Scenario 3: Improvement of Driver;66
6.5.3.3.3.1;Robust Discovery Phase;67
6.5.3.3.3.2;Decision-Making Phase;68
6.5.4;3.5.4 Intelligent Parking Management;69
6.6;3.6 Conclusions;70
6.7;3.7 Review Questions;71
7;Chapter 4: Advanced Driver Assistance Systems (ADAS);72
7.1;4.1 Goals;72
7.2;4.2 Introduction;72
7.3;4.3 Cooperative Mobility and Cooperative Driving;73
7.4;4.4 Green (eco) Driving;74
7.5;4.5 Connectivity in Road Transport;75
7.6;4.6 Information Sharing for Sustainable Multimodal Transport;76
7.7;4.7 Case Studies;77
7.7.1;4.7.1 Proactive Global Alerting Systems;77
7.7.1.1;4.7.1.1 Formulation;77
7.7.1.2;4.7.1.2 Solution: Warning Functions;81
7.7.1.2.1;Minimum Distance Warning;81
7.7.1.2.2;Safe Following Distance Warning;82
7.7.1.2.3;Safe Front-Side Distance Warning;86
7.7.1.2.4;Congestion Ahead Warning;88
7.7.2;4.7.2 Reconfigurable Driving Styles;91
7.7.2.1;4.7.2.1 Introduction;91
7.7.2.2;4.7.2.2 Formal Description;92
7.7.2.2.1;Decision-Making Phase: Exploitation of Knowledge;94
7.7.3;4.7.3 Video-Based DAS;95
7.7.4;4.7.4 Radar-Based DAS;95
7.7.5;4.7.5 Head-up Display-Based DAS;96
7.7.6;4.7.6 Driver Fatigue Detection Systems;98
7.7.6.1;4.7.6.1 Visual Features;99
7.7.6.2;4.7.6.2 Nonvisual Features;100
7.7.7;4.7.7 Obstacle Recognition;100
7.7.8;4.7.8 Distraction Detection;101
7.7.9;4.7.9 Lane Keeping and Lane Departing;103
7.7.10;4.7.10 Proactive Emergency Braking;103
7.7.11;4.7.11 Remote Vehicle Monitoring;104
7.8;4.8 Conclusions;104
7.9;4.9 Review Questions;105
8;Chapter 5: ICT-Enabled, Knowledge-Based (Cognitive) Management Algorithms for ADAS;106
8.1;5.1 Goals;106
8.2;5.2 Introduction;106
8.3;5.3 The Current Wireless Landscape: Towards Cognitive Systems;107
8.4;5.4 Wireless Sensor Networks (WSNs);109
8.5;5.5 Cognitive Management Systems;110
8.5.1;5.5.1 General Characteristics;110
8.5.2;5.5.2 Contextual Acquisition;111
8.5.3;5.5.3 Profiles Derivation;112
8.5.4;5.5.4 Policies Extraction;112
8.5.5;5.5.5 Output;112
8.5.6;5.5.6 Cognitive Features;112
8.6;5.6 Management Functionality Approaches for ADAS;113
8.6.1;5.6.1 High-Level Approach;113
8.6.2;5.6.2 Requirements;114
8.6.3;5.6.3 Indicative Architecture and Description of Components;115
8.6.4;5.6.4 Vehicle Sensors and WSNs;115
8.6.5;5.6.5 Vehicle Cognitive Management Functionality (V-CMF);116
8.6.6;5.6.6 Infrastructure Cognitive Management Functionality (I-CMF);117
8.6.7;5.6.7 Indicative Information Flow;118
8.7;5.7 Conclusions;119
8.8;5.8 Review Questions;119
9;Chapter 6: The Future: Towards Autonomous Driving;121
9.1;6.1 Goal of Chapter;121
9.2;6.2 Highly Automated Driving;121
9.3;6.3 Autonomous Driving;122
9.3.1;6.3.1 Introduction;122
9.3.2;6.3.2 Advantages;123
9.3.3;6.3.3 Disadvantages and Obstacles;124
9.3.4;6.3.4 Legislation and Political Decisions;125
9.3.5;6.3.5 The Way to the Future;126
9.4;6.4 Conclusions;127
9.5;6.5 Review Questions;129