Design and Implementation of Smart Traffic Light System Using Renewable Energy, Fail-Safe Systems, and Intelligent Sensors

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 20, 2024

To overcome the disadvantages of traditional traffic lights, this study provides a detailed examination development and implementation smart light system. The research focuses on developing cutting-edge systems that incorporate intelligent sensors for real-time data collection, fail-safe mechanisms, energy efficiency, renewable sources. recommended system uses infrared (IR) to track autos collect exact simulations. technology detect lane violations, reduce wait times, avoid inadvertent crashes, make empty lanes simpler pass. It also allows tracking vehicle numbers over different weekdays hours help with control. was evaluated using simulation program written in Python powered by Ursina engine. This software proposed ideas be tested confirmed realistic setting. results' correctness realism are examined, prior simulations OpenStreetMap (OSM) discussed. looks into other capabilities, such as movement across city capturing license plates routes, well assessing time between lights identify speeding cars. increases management safety incorporating revolutionary signal designs, energy-saving approaches, systems, sensors, software. findings provide politicians urban planners critical new knowledge.

Language: Английский

Genetic Algorithm-Based Strategies for Enhanced Power Management in Hybrid Charging Systems

SMART MOVES JOURNAL IJOSCIENCE, Journal Year: 2024, Volume and Issue: unknown, P. 14 - 21

Published: June 28, 2024

The integration of renewable energy sources with advanced hybrid storage systems for performance optimization electric vehicle charging stations will be discussed. system suggested here consist a solar-wind power generation along the combination flywheel and permanent magnet synchronous machine innovative storage. This configuration efficiently balances supply-demand curve, thereby overcoming challenges associated variability growing demands EVs. Genetic algorithms (GAs) are used to optimize flow management, thus ensuring efficient distribution, reduced operational costs, stable DC bus voltage under dynamic conditions. Simulation results show substantial impacts, such as 15% cost reduction in 10% enhancement overall efficiency. It further ensures effective integration, minimizing dependence on traditional grid, hence promoting sustainability. outcomes indicate load balancing output SOC pattern improvement. These accomplishments emphasize capability deliver reliable economic supplies, contributing cleaner more resilient ecosystem. framework offers scalable solution development sustainable EV infrastructures across globe

Language: Английский

A two-layer distributed energy control strategy considering grid voltage stability

Published: Dec. 27, 2024

Language: Английский