2 An intelligent traffic control system using machine learning techniques
-
B. Rajalingam
Abstract
The ever-increasing traffic jams in urban areas makes it necessary to make use of cutting-edge technology and equipment in order to advance the state of the art in terms of traffic control. The currently available solutions, such as time visitors or human control, are not adequate to alleviate the severity of this crisis. The findings of this investigation have led to the proposal of a system for the control of traffic that makes use of Canny edge detection and digital image processing to determine, in real time, the number of vehicles present. The above imposing traffic control advanced technologies offer significant advantages over the existing systems in real-time transportation management, robotization, reliability, and efficiency. In addition, the complete process of digital image acquisition, edge recognition, as well as green signal assignment is demonstrated with accurate blueprints, and the final outcomes are stated by hardware. All of this is done with four separate photographs of various traffic scenarios.
Abstract
The ever-increasing traffic jams in urban areas makes it necessary to make use of cutting-edge technology and equipment in order to advance the state of the art in terms of traffic control. The currently available solutions, such as time visitors or human control, are not adequate to alleviate the severity of this crisis. The findings of this investigation have led to the proposal of a system for the control of traffic that makes use of Canny edge detection and digital image processing to determine, in real time, the number of vehicles present. The above imposing traffic control advanced technologies offer significant advantages over the existing systems in real-time transportation management, robotization, reliability, and efficiency. In addition, the complete process of digital image acquisition, edge recognition, as well as green signal assignment is demonstrated with accurate blueprints, and the final outcomes are stated by hardware. All of this is done with four separate photographs of various traffic scenarios.
Kapitel in diesem Buch
- Frontmatter I
- Foreword V
- Preface VII
- Acknowledgments XIII
- Contents XV
- List of contributors XVII
- 1 Application of AR and VR for supply chain: a macro perspective approach 1
- 2 An intelligent traffic control system using machine learning techniques 19
- 3 Proficient implementation toward detection of thyroid nodules for AR/VR environment through deep learning methodologies 35
- 4 Convergence of AR/VR with IoT in manufacturing and their novel usage in IoT 77
- 5 Proficiency of Metaverse using virtual reality for industry and users perspective 99
- 6 Retailing and e-commerce riding on technology: augmented reality and virtual reality 127
- 7 Inclusive education through augmented reality (AR) and virtual reality (VR) in India 147
- 8 Exploring practical use-cases of augmented reality using photogrammetry and other 3D reconstruction tools in the Metaverse 163
- 9 An empirical analysis of conspicuous consumption of luxury cosmetic products via augmented reality technology concerning India’s workforce 187
- 10 Application of virtual reality and augmented reality technologies to boost the technical capabilities for a constructive and effective learning in education for a performing virtual eco-system: a design thinking approach 203
- 11 Role of augmented reality and virtual reality in sports 221
- 12 Space traffic management: a simulationbased educational app for learners 237
- 13 Integration of virtual reality in the e-learning environment 253
- 14 The resurgence of augmented reality and virtual reality in construction: past, present, and future directions 275
- Editors’ biography 293
- Index 295
Kapitel in diesem Buch
- Frontmatter I
- Foreword V
- Preface VII
- Acknowledgments XIII
- Contents XV
- List of contributors XVII
- 1 Application of AR and VR for supply chain: a macro perspective approach 1
- 2 An intelligent traffic control system using machine learning techniques 19
- 3 Proficient implementation toward detection of thyroid nodules for AR/VR environment through deep learning methodologies 35
- 4 Convergence of AR/VR with IoT in manufacturing and their novel usage in IoT 77
- 5 Proficiency of Metaverse using virtual reality for industry and users perspective 99
- 6 Retailing and e-commerce riding on technology: augmented reality and virtual reality 127
- 7 Inclusive education through augmented reality (AR) and virtual reality (VR) in India 147
- 8 Exploring practical use-cases of augmented reality using photogrammetry and other 3D reconstruction tools in the Metaverse 163
- 9 An empirical analysis of conspicuous consumption of luxury cosmetic products via augmented reality technology concerning India’s workforce 187
- 10 Application of virtual reality and augmented reality technologies to boost the technical capabilities for a constructive and effective learning in education for a performing virtual eco-system: a design thinking approach 203
- 11 Role of augmented reality and virtual reality in sports 221
- 12 Space traffic management: a simulationbased educational app for learners 237
- 13 Integration of virtual reality in the e-learning environment 253
- 14 The resurgence of augmented reality and virtual reality in construction: past, present, and future directions 275
- Editors’ biography 293
- Index 295
