This paper discusses low-cost approaches capable of ranking traffic intersections for the
purpose of signal re-timing. We extracted intersections that are comprised of multiple roads …

Traffic signal priority issues have been a research subject for several decades in Poland and
worldwide. Traffic control algorithms have evolved considerably during this period and have …

Traffic signal control plays a key role in managing urban traffic flow, enhancing safety, and
minimizing congestion and conflicts. Effective green time allocation is a critical element of …

Split failures have been a conventional method to estimate overcapacity at signalized
intersections. Currently, split failures are estimated from high-resolution (HR) traffic signal …

As urban traffic challenges intensify, the growing interest for fully actuated control systems in
intersection management is on the rise due to their capacity to adapt to dynamic traffic …

Heavy duty vehicles differ from passenger cars in several ways, and these distinctions
frequently make them more vulnerable to traffic problems in urban transportation systems …

The traditional road condition perception model mainly uses the neural network algorithm,
which ignores the impact of traffic data uncertainty, making the perception error of the road …

This paper will conduct an exhaustive analysis of sliding mode and variable structure filters,
essential methodologies employed in signal processing that solve problems noisy and …

Although technology has evolved explosively in past years in all aspects of our lives and
should make our work easier, it still seems like we don't have enough time and we are in a …

Signal control is a prominent method of urban intersection traffic control. However, the traffic
condition is highly dynamic, and the efficacy loss happens all the time. Therefore, the signal …