Loading article...
Loading article...
Stream/Area:
-
Subject:
-
Paper ID:
IJSREM61085
Volume:
10 |
4 |
April 2026
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Nowadays, highways have a large number of fast-moving vehicles such as trucks and buses. When these vehicles move, they create strong airflow around them. This airflow is usually wasted and not used for any purpose. The aim of this project is to generate electrical energy by using the wind produced by moving vehicles on highways. Small wind turbines are placed near the road to capture this wind and convert it into electricity. Artificial Intelligence is used in this system to study vehicle movement and wind patterns. Based on this data, a machine learning model predicts how much energy can be generated at different times. This helps in using the turbines only when sufficient wind is available, which improves efficiency and reduces damage to the system. The generated energy can be used for low-power applications such as roadside lighting or monitoring systems. This project shows that vehicle-induced wind energy can be a useful additional source of renewable energy when combined with intelligent prediction methods. It is a simple, cost-effective, and environmentally friendly solution suitable for future smart highway systems.
KEYWORDS
Publication Date
4/24/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
Documents
Article Views
0
Total views since publication
PDF Downloads
0
Total downloads since publication
Geographic Reach
5
Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.
Plagiarism Screening
This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.
Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
Related research in the same subject area
Loading similar articles...