[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 …

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 …

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 …

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 …

An intelligent transportation system for future smart world

YK Lee - 2023 - dr.ntu.edu.sg
Traffic congestions are a norm in cosmopolitan cities. This is due to the rapid increase of
vehicles. It is crucial that the authorities are able to monitor different traffic conditions to …

Artificial Intelligence based Framework for Effective Performance of Traffic Light Control System

A Singh, S Sharma, KC Purohit… - … and Smart Electrical …, 2021 - ieeexplore.ieee.org
The rapid growth of innovations in all fields of science has made our lives easier, but the
increase in traffic accidents on roads over the years has cost many lives. Local governments …

[PDF][PDF] TRAFFIC PREDICTION FOR INTELLIGENT TRANSPORTATION SYSTEM USING MACHINE LEARNING

MG Sasikala, M Hemabharathi, KS Keerthi, PS Kavya… - researchgate.net
The traffic management system is considered one of the main dimensions of a smart city.
With the rapid growth of population and urban mobility in metropolitan cities, traffic jams are …

Intelligent traffic light control system based on traffic environment using deep learning

M Sharma, A Bansal, V Kashyap… - IOP Conference …, 2021 - iopscience.iop.org
At present, the traffic control frameworks in India, need insight and go about as an open-loop
control framework, with no input or detecting system. Present technologies use Inductive …

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 …

[HTML][HTML] An amalgamation of YOLOv4 and XGBoost for next-gen smart traffic management system

P Dave, A Chandarana, P Goel, A Ganatra - PeerJ Computer Science, 2021 - peerj.com
The traffic congestion and the rise in the number of vehicles have become a grievous issue,
and it is focused worldwide. One of the issues with traffic management is that the traffic light's …