Neural networks and graph models for traffic and energy systems /

"This book presents advanced AI approaches and their practical applications in traffic and energy systems, expanding the limits of existing research and practice. It showcases the potential of neural networks and graph models to greatly improve the effectiveness and dependability of traffic con...

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Bibliographic Details
Other Authors:	Bhambri, Pankaj (Editor), Anand A., Jose, 1975- (Editor)
Format:	eBook
Language:	English
Published:	Hershey, PA : IGI Global Scientific Publishing, [2025]
Subjects:	Traffic engineering > Technological innovations. Electric power distribution > Technological innovations. Artificial intelligence > Industrial applications. Neural networks (Computer science) Graph theory. Intelligent transportation systems. Smart power grids. Intelligence artificielle > Applications industrielles. Réseaux neuronaux (Informatique) Systèmes de transport intelligents. Réseaux électriques intelligents.

Table of Contents:

Preface
Chapter 1. Introduction to Traffic and Energy Systems
Chapter 2. Fundamentals of Neural Networks: Foundational Concepts, Training Processes, and Architectures
Chapter 3. Introduction to Graph Theory
Chapter 4. Anomaly Detection in Traffic Systems
Chapter 5. Explainable AI (XAI) for Energy Demand Forecasting
Chapter 6. Neural Network Architectures in Smart Grid Management: Bridging Operational Efficiency and Grid Resilience in the Transition to Sustainable Energy
Chapter 7. Graph-Based Analysis for Optimizing Traffic Flow in Urban Networks
Chapter 8. Modeling Traffic Congestion With Graphs
Chapter 9. Real-Time Traffic Management Using Graph Models
Chapter 10. Reliability Analysis of Energy Networks
Chapter 11. Phenomenon of AI-Driven Traffic Flow Prediction: Conceptualization, Utilization, and Research Perspective
Chapter 12. Revolutionizing Urban Traffic Mobility With Graph Neural Networks-Driven Intelligent Transportation Systems (ITS)
Chapter 13. Neural Networks Unleashed: A Comprehensive Introduction to Their Application in Optimizing Traffic Management and Energy System
Chapter 14. Future Trends and Research Directions
Compilation of References
About the Contributors
Index.