The battery management system in an electric vehicle must be reliable and durable to
forecast the state of charge. Considering that battery degradation is generally nonlinear …

The public transportation system is now dealing with a number of problems brought on by
the sharp increase in automobile ownership in cities as well as the buildup of vehicles as a …

Electric Vehicles (EVs) reliance on batteries, which currently have lower energy and power
densities than liquid fuels and are prone to aging and performance degradation over time …

The instability and variable lifetime are the benefits of high efficiency and low-cost issues in
lithium-ion batteries. An accurate equipment's remaining useful life prediction is essential for …

Traffic congestion is a significant issue in many countries today. The suggested method is a
novel control method based on multiple intersections considering the kind of traffic light and …

In urban settings, the prevalence of traffic lights often leads to fluctuations in traffic patterns
and increased energy utilization among vehicles. Recognizing this challenge, this research …

In the framework of massive sensing and smart sustainable cities, this work presents an
urban distributed acoustic sensing testbed in the vicinity of the School of Technology and …

There is a growing global trend to encourage citizen participation in solving urban problems,
and there is worldwide consensus that the public voice needs to be considered. This study …

With the development of intelligent transportation systems, research into intelligent traffic
signal control has received considerable attention. To date, many traffic signal control …

A bi-level model for traffic signal optimization is developed. The model predictive framework
is applied for traffic control in an urban traffic network. The potential of the bi-level …