Vehicle Analytics Using IOT and ML
Abstract & Details
Research Area
Computer Science Engineering
Keywords
Vehicle analytics
machine learning
driving behavior
fuel consumption
optimal speed
driving patterns.
Abstract
Vehicle analytics has gained significant attention in recent years due to its potential to improve driving behavior, fuel consumption, optimal speed, and driving patterns. This paper explores the application of machine learning (ML) techniques in vehicle analytics to extract valuable insights from various data sources such as sensors, GPS, accelerometer and gyroscope. The primary focus is on analyzing driving behavior to identify patterns that can lead to safer and more fuel-efficient driving practices. ML algorithms are utilized to process large volumes of data and provide accurate predictions and recommendations for optimizing driving performance.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Nikita Kumari | AMC Engineering College |
| 2 | Jigyasa Kumari | AMC Engineering College |
| 3 | Neha Srivastava | AMC Engineering College |
| 4 | Bhoomika V | AMC Engineering College |
| 5 | Karthiga G | AMC Engineering College |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Kumari, Nikita, Kumari, Jigyasa, Srivastava, Neha, V, Bhoomika, & G, Karthiga (2023). Vehicle Analytics Using IOT and ML. International Journal of Advance Research and Innovative Ideas In Education, 9(3), 1886-1888.
MLA Style
Kumari, Nikita, et al. "Vehicle Analytics Using IOT and ML." International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 3, 2023, pp. 1886-1888.
IEEE Style
Nikita Kumari, Jigyasa Kumari, Neha Srivastava, Bhoomika V, and Karthiga G, "Vehicle Analytics Using IOT and ML," International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 3, pp. 1886-1888, 2023.
Vancouver Style
Kumari Nikita, Kumari Jigyasa, Srivastava Neha, V Bhoomika, G Karthiga. Vehicle Analytics Using IOT and ML. International Journal of Advance Research and Innovative Ideas In Education. 2023;9(3):1886-1888.
Harvard Style
Kumari, Nikita, Kumari, Jigyasa, Srivastava, Neha, V, Bhoomika, & G, Karthiga (2023) 'Vehicle Analytics Using IOT and ML', International Journal of Advance Research and Innovative Ideas In Education, 9(3), pp. 1886-1888.
Chicago Style
Kumari, Nikita, et al. "Vehicle Analytics Using IOT and ML." International Journal of Advance Research and Innovative Ideas In Education 9, no. 3 (2023): 1886-1888.
Turabian Style
Kumari, Nikita, et al. "Vehicle Analytics Using IOT and ML." International Journal of Advance Research and Innovative Ideas In Education 9, no. 3 (2023): 1886-1888.
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