Comparative analysis of Direct and Indirect Model Reference Adaptive Control by Extended Kalman Filter
Volume-3 | Issue-3

Smart Wires and Modular FACTS Controllers for Smart Grid Applications: A Review
Volume-3 | Issue-4

Integrated Renewable Energy Management System for Reduced Hydrogen Consumption using Fuel Cell
Volume-3 | Issue-1

Wireless Power Transfer Device Based on RF Energy Circuit and Transformer Coupling Procedure
Volume-3 | Issue-3

Artificial Intelligence based Business Process Automation for Enhanced Knowledge Management
Volume-3 | Issue-2

Unmanned Aerial Vehicle with Thermal Imaging for Automating Water Status in Vineyard
Volume-3 | Issue-2

Design of Effective Smart Communication System for Impaired People
Volume-2 | Issue-4

Automated Multimodal Fusion Technique for the Classification of Human Brain on Alzheimer’s Disorder
Volume-3 | Issue-3

Prediction of Energy Consumption by Ships at the port using Deep Learning
Volume-3 | Issue-2

A Novel Adaptive Fuzzy MPPT Algorithm under Changing Atmospheric Conditions
Volume-3 | Issue-4

Power Transfer Capability Recognition in Deregulated System under Line Outage Condition Using Power World Simulator
Volume-3 | Issue-4

Transformer Oil Diagnostic Tests Analysis using Statistical Correlation Technique
Volume-4 | Issue-3

Design of Inverter Voltage Mode Controller by Backstepping Technique for Nonlinear Power System Model
Volume-3 | Issue-4

Automated Multimodal Fusion Technique for the Classification of Human Brain on Alzheimer’s Disorder
Volume-3 | Issue-3

Performance Analysis of Multiple Pico Hydro Power Generation
Volume-2 | Issue-2

Energy Efficient Data Mining Approach for Estimating the Diabetes
Volume-3 | Issue-2

Wireless Power Transfer Device Based on RF Energy Circuit and Transformer Coupling Procedure
Volume-3 | Issue-3

Prediction of Energy Consumption by Ships at the port using Deep Learning
Volume-3 | Issue-2

A Novel Adaptive Fuzzy MPPT Algorithm under Changing Atmospheric Conditions
Volume-3 | Issue-4

Unmanned Aerial Vehicle with Thermal Imaging for Automating Water Status in Vineyard
Volume-3 | Issue-2

Home / Archives / Volume-6 / Issue-1 / Article-5

Volume - 6 | Issue - 1 | march 2024

IoT Based Traffic Congestion Management and Accident Detection System
Sneha S  , Sriranjini S, Himasai T, Balaji M
Pages: 63-71
Cite this article
S, Sneha, Sriranjini S, Himasai T, and Balaji M. "IoT Based Traffic Congestion Management and Accident Detection System." Journal of Electrical Engineering and Automation 6, no. 1 (2024): 63-71
Published
02 May, 2024
Abstract

This review proposes a traffic congestion management and accident detection system to reduce congestion at junctions and to provide emergency assistance during accidents. The proposed system employs advanced computer vision and image processing techniques like You Only Look Once (YOLO) to monitor and analyze real-time traffic conditions and accidents. The pivotal feature of this system lies in its adaptive decision-making capability, automatically adjusting traffic signal timings based on observed density patterns and updating and reporting about the congestions and accidents for which Internet of Things (IOT) technologies are used. Nowadays many junctions and roads are equipped with surveillance cameras connected to traffic management systems. Therefore, techniques like YOLO can be viable tools for automatic accident detection and traffic control.

Keywords

YOLO Computer vision IOT Automation Accident Detection

×

Currently, subscription is the only source of revenue. The subscription resource covers the operating expenses such as web presence, online version, pre-press preparations, and staff wages.

To access the full PDF, please complete the payment process.

Subscription Details

Category Fee
Article Access Charge
15 USD
Open Access Fee 100 USD
Annual Subscription Fee
200 USD
Subscription form: click here