The exponential increase in vehicles, quick urbanization, and rising demand for
transportation are straining the world's road infrastructure today. To have a sustainable …

Recent advancements in sensor technologies, in conjunction with signal processing and
machine learning, have enabled real-time traffic control systems to adapt to varying traffic …

The global transport sector, a significant contributor to energy consumption and greenhouse
gas (GHG) emissions, requires innovative solutions to meet sustainability goals. Artificial …

Efficient traffic systems control in large cities, and the complex traffic management of
signalized intersections is a challenging task, particularly when dealing with high traffic …

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 …

The connectivity of modern vehicles allows for the monitoring and analysis of a large amount
of sensor data from vehicles during their normal operations. In recent years, there has been …

La congestión vehicular es una problemática que se manifiesta frecuentemente en
ciudades con alta población y puede deberse a diversos factores, como la incorrecta …

Traffic microsimulation is regularly used to develop traffic signal control (TSC) algorithms, yet
moving from simulation to the field requires confidence in the results and mature …

Microscopic traffic simulation models offer an effective way to analyze and assess different
transportation systems thanks to their efficiency and reliability. As traffic management issues …

Optimal traffic signal control can improve network-wide fuel efficiency as well as alleviate
traffic congestion. Traditionally, traffic signals have been controlled using limited vehicle …