Traffic sign recognition and distance estimation with yolov3 model

GSR Nath, J Acharjee, S Deb - 2021 International Conference …, 2021 - ieeexplore.ieee.org
Due to the expeditious increase in the number of vehicles, there is an increase in the
number of road casualties even in a highly sophisticated roadway. This depicts the natural …

[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 …

Traffic lights and traffic signs detection system using modified you only look once

A Abraham, D Purwanto… - … International Seminar on …, 2021 - ieeexplore.ieee.org
Traditional image processing methods used for detecting traffic lights and traffic signs are
replaced by the recent enhancements of the deep learning method by the success of …

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 …

[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 …

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 …

Use of YOLOv4 and Yolov4Tiny for Intelligent Vehicle Detection in Smart City Environments

DH de la Iglesia, HSS Blas, VF López… - … , Tech Ethics and …, 2022 - Springer
One of the biggest problems in cities today is the significant increase in the number of motor
vehicles. Intelligent traffic control is a fundamental part of controlling city travel. To achieve …

A self-adaptive traffic light control system based on YOLO

K Zaatouri, T Ezzedine - 2018 international conference on …, 2018 - ieeexplore.ieee.org
Traffic congestion is becoming a serious problem with the large number of cars in the roads.
Vehicles queue length waiting to be processed at the intersection is rising sharply with the …

The Use of the YOLO neural network in the task of separating vehicles and pedestrians at a signal-controlled intersection

O Ibriaeva, V Shepelev, A Zhulev… - 2020 Global Smart …, 2020 - ieeexplore.ieee.org
Many studies deal with the problem of ensuring safety and increasing the capacity of signal-
controlled junctions of the road network (RN). The use of innovative developments in the …

Adaptive Traffic Light Controller Based on Congestion Detection Using Computer Vision

RG Putra, W Pribadi, I Yuwono… - Journal of Physics …, 2021 - iopscience.iop.org
The transportation sector plays an important role in realizing a smart city. The increase in the
number of vehicles is currently not supported by an increase in road capacity. Traffic jams or …