… In addition, traffic management to reduce congestion is a crucial topic in the … in everyday
operations and highly automated traffic management systems will mean operator roles will shift …

… investigate the EV charging management in terms of energy-… Here, we consider traffic
conditions on the EV's route towards its … and not interfere to road safety services for smart cities. …

… for intelligent traffic management In this paper, an intelligent and novel traffic control system
is presented. The presented system has the capability to overcome urban traffic problems. …

… In this work, we are using deep learning for traffic management in smart cities in disasters.
Deep learning requires a large amount of data to train the model and therefore takes long in …

… The proposed method was tested on the traffic lights and achieved good results. The traffic
management architecture was proposed to handle the emergency vehicle [11-13] through …

… scenarios that are pivotal for the traffic management of smart cities. Our model, termed ’…
the multifaceted challenges of traffic congestion in smart cities. This literature review section …

… , traffic congestion has become a major problem in cities. A traffic management prototype is
… is used to detect the driver who evades the traffic signal by vehicle’s number plate using IR …

… to simulate the network traffic issues and their signaling … traffic network by the traffic lights.
This may help to improve the scheduling of the traffic lights to improve the traffic management. …

… traffic management system. In this paper, we propose a novel dynamic traffic congestion
pricing and electric vehicle charging management system for the internet of vehicles in an urban …

… This paper explores the role of AI in traffic management, focusing on its potential to enhance
… smart cities. We delve into various applications of AI in traffic management, including traffic …