Abstract As Vehicle-to-Anything (V2X) is viewed as emerging technology, which could
improve the mobility and efficiency of urban traffic operations, and enhance the safety of …

Intelligent traffic monitoring systems are necessary and useful tools due to the emerging
technologies related to the Internet of Things (IoT) and Artificial Intelligence (AI). The …

Traffic signal control is essential to the efficiency of the road network's operation. In recent
years, more and more detailed detection data provide potential data support for traffic signal …

Overtraffic is one of the main keys to air pollution in urban areas. The aim of the present work
is to review the approaches and explore the potentiality of AI in reducing traffic pollution in …

Traffic jam that is resulted from the buildup of vehicles on the road has become an important
problem, which leads to an interference with drivers. The impacts it has on cost and time …

Many responsive traffic signal control strategies are “pressure-driven”. These strategies
move green-time from stages with a lower pressure to stages with a higher pressure, at each …

This paper presents a framework for signalized road network predictive optimization using
real-time routing information from connected vehicles (CVs). An important feature of the real …

Examining driving behaviour is crucial for traffic operations because of its influence on driver
safety and the potential for increased risk of accidents, injuries, and fatalities. Approximately …

Urban environment and mobility are threatened by traffic congestion due to the growth in the
number of vehicles and urbanization. To address this problem, we propose a deep …

Smart cities are an ongoing research topic with multiple sub-research areas, from traffic
control to optimization and even safety. However, testing the new methodologies or …