… Our ultimate goal in this paper is to reduce traffic congestion while avoiding, whenever
and wherever possible, stoppings. We argue that this is possible through an improved …

… to management problems that range from traffic congestion control to driving safety and …
issues in future smart cities. One of the most critical consequence of traffic congestion is the …

… a traffic congestion reduction example for smart city. Once a congestion is sensed, the system
makes use our algorithm to re-route the cars in a balanced way to bring the traffic back to …

… the congestion level to maximize the vehicle traffic flow in the transport system, called TRAFFIC.
For … of classifiers to estimate the congestion level using TRAFFIC. Hence, the ensemble …

… In this paper discussing by the Smart city traffic management system. Section 1 contain
related work, … Chaqfeh, “A novel method for reducing road traffic congestion using vehicular …

… In this research, an intelligent TCCS is used for smart cities to monitor and control traffic
congestion using machine learning techniques. This research proposed a FITCCS-VN using ML …

… congestion of traffic for traffic management in smart cities that reduces delays which occurred
by traffic, … By prognosticating the flow of traffic, the recurring and nonrecurring congestion of …

… the future of our cities is that of traffic congestion. The use of … that traffic congestion is steadily
worsening in most cities around … Reduced traffic speeds cause vehicles to travel at sub-…

… Traffic Light Control System (ATLCS) to assist traffic management authorities in efficiently
dealing with traffic congestion in cities… a number of traffic lights controlling consecutive junctions …

… The results in this paper show that LSTM methods connected to IoT speed sensors provide
a powerful and accurate method for traffic congestion prediction in smart cities and it is …