The chapter, “Introduction to Traffic and Energy Systems,” gives an overall an overview of the scope of traffic and energy systems, pointing out their relevance in modern infrastructure in the context of some basic definitions, challenges faced by each system, and current trends. The focus...

Artificial intelligence, which is quickly helping us solve several complex problems, is centered on neural networks. This chapter gives a detailed introduction to the foundational concepts of neural networks, from perceptrons and activation functions to multilayer architectures. How networks...

Graph theory is a branch of mathematics that defines the study of graphs and is now a significant asset to analyzing various systems in various fields. This chapter gives an overview of the subject which includes vertices, edges, paths, cycles, and others like trees, bipartite, complete and...

There is an effective need to manage the existing traffic systems due to the rapid increase in production and usage of vehicles. Traffic congestion, crashes and delays are some of the challenges being faced today. Neural networks have emerged as a powerful solution to tackle the dynamic and...

Forecasting energy demand is essential for efficient energy management and planning, allowing utilities and policymakers to make data-driven decisions regarding energy generation, distribution, and consumption. This abstract examines the latest developments in forecasting methods, such as...

A key component of contemporary energy systems, smart grid management makes use of digital and intelligent technology to maximise the distribution of electricity, boost dependability, and increase efficiency. Neural network integration allows smart grid management to analyse large volumes of...

The increasing urban population and vehicle density have led to significant traffic congestion issues, affecting both environmental sustainability and the commuter experience. This chatper presents a comprehensive approach to optimizing traffic flow using graph-based analysis in urban networks....

It is still a significant problem affecting public health, environmental sustainability, and economic productivity in metropolitan settings. Traditional traffic modeling techniques fail to capture the complex spatial-temporal linkages inherent to transportation networks. This chapter explores...

Traffic management, especially in highly populated cities with delays and congestion as part of daily life, is crucial for the successful functioning of urban settings. Since modern traffic is dynamic and complicated, traditional traffic management systems based on manual interference and static...

This chapter tells about the reliability of energy networks is imperative for making sure a consistent and nonstop power make available across regions and facilitating the shift to renewable energy integration. This chapter gives a complete methodology for assessing and improving the...