Intelligent traffic light system using deep reinforcement learning

R Yauri Rodríguez, F Silva, A Huaccho, O Llerena - 2023 - repositorio.utp.edu.pe
Currently, population growth in cities results in an increase in urban vehicle traffic. That is
why it is necessary to improve the quality of life of citizens based on the improvement of …

[PDF][PDF] Intelligent Traffic Light System using Deep Reinforcement Learning

R Yauri, F Silva, A Huaccho, O Llerena… - WSEAS Transactions on …, 2023 - wseas.com
Currently, population growth in cities results in an increase in urban vehicle traffic. That is
why it is necessary to improve the quality of life of citizens based on the improvement of …

Traffic control using intelligent timing of traffic lights with reinforcement learning technique and real-time processing of surveillance camera images

M Jamebozorg, M Hami, SDD Jani - arXiv preprint arXiv:2405.13256, 2024 - arxiv.org
Optimal management of traffic light timing is one of the most effective factors in reducing
urban traffic. In most old systems, fixed timing was used along with human factors to control …

Smart Traffic Light Using YOLO Based Camera with Deep Reinforcement Learning Algorithm

M Sahal, Z Hidayat, Y Bilfaqih, MA Hady… - JAREE (Journal on …, 2023 - jaree.its.ac.id
Congestion is a common problem that often occurs in big cities. Congestion causes a lot of
losses, such as in terms of time, economy, to the psychology of road users. One of the …

Development of an Application for Recognizing Automobile Vehicles

G Kataev, A Shabley, S Vaulin - 2020 International Multi …, 2020 - ieeexplore.ieee.org
In modern cities, a busy traffic is an acute problem. Therefore, road monitoring should
become an essential feature of smart cities. The possible approach to car traffic control is the …

Traffic Monitoring System using YOLOv3 Model

V Upadhyay, N Sivakumar - 2023 7th International Conference …, 2023 - ieeexplore.ieee.org
An intelligent city's traffic management system is one of its key components. Large cities
frequently have traffic issues. To monitor and regulate traffic lights automatically and lessen …

Traffic Parameters Acquisition System using Faster R-CNN Deep Learning based algorithm

M Zinanyuca, D Arce - 2020 IEEE ANDESCON, 2020 - ieeexplore.ieee.org
Traffic parameters survey is important for proper control of traffic lights on the roads.
Computer vision is one of the tools that offer greater advantages and lower cost compared to …

A Smart Traffic Controlling System Using Auxiliary Sensors with Deep Learning and Its Simulation

Q Zeng - 2021 International Conference on Information Science …, 2021 - ieeexplore.ieee.org
The traffic jam is a severe problem in modern cities, and many researchers tried to reduce
the pain by optimizing the traffic system and traffic participants. This paper introduces a …

Traffic signs detection and recognition system using the YOLOv4 algorithm

RW Arief, I Nurtanio, FA Samman - … International Conference on …, 2021 - ieeexplore.ieee.org
Traffic signs are one of the important road equipment facilities to inform road users about
regulations and visual directions. Currently, an automatic Traffic Sign Recognition (TSR) …

Experimental study regarding an intelligent control system for traffic light intersections

SI Cismaru, F Besnea, IC Resceanu… - … on Power Electronics …, 2020 - ieeexplore.ieee.org
This paper aims to transform a simple traffic light intersection by technological improvement
of the current equipment. Compared to a classical traffic light, the one made in this paper will …