Machine learning (ML) and deep learning (DL) have become very popular in the research
community for addressing complex issues in intelligent transportation. This has resulted in …

The integration of intelligent transportation systems (ITS) in urban infrastructure has
increased significantly, and one of the most notable examples is the development of …

Smart city growth needs information and communication technology to increase urban
sustainability but faces critical traffic congestion and vehicle classification issues. It is crucial …

This paper presents our research on a traffic signal control system (TSCS) at V2X
intersections. The overall objective of the study is to create an implementable TSCS. The …

Recent advancements in the industrial revolution and artificial intelligence have aided in the
development of novel approaches that have considerable potential for increasing the …

Bus rapid transit (BRT) system is a cost‐effective way to provide public transportation
service. However, it faces some challenges such as reduced labour productivity and …

This paper addresses the limitations of the fixed-time approach in traffic signal control, which
can lead to bottlenecks and inefficiencies. Proposing an alternative algorithm based on …

To improve the efficiency of urban traffic systems and environments, a speed guidance
model based on a predictive vehicle speed sequence is proposed in this study. The model …

In the rapidly advancing domain of Unmanned Aerial Vehicle (UAV) technologies, the
capability to navigate dynamic and unpredictable environments is paramount. To this end …

The university is having difficulty meeting the demand for parking lots to meet the
requirements of students. According to data, the number of registered cars at a specific …