Yudong-Fan/OBD-II-Eco-driving-assistant
This repository contains codes and datasets in correspondence to my bachelor thesis for computer science at Vrije Universiteit Amsterdam.
This project provides code and datasets for analyzing car driving data to understand and potentially improve fuel efficiency. It takes raw vehicle performance data, likely from an OBD-II device, processes it, and then applies machine learning models to identify patterns related to eco-driving. This is useful for researchers or data analysts interested in transportation, automotive efficiency, or developing eco-driving recommendations.
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Use this if you are a researcher or data analyst working with vehicle On-Board Diagnostics (OBD-II) data and want to explore factors influencing driving efficiency or develop predictive models for eco-driving behavior.
Not ideal if you are looking for a ready-to-use application to directly assist your daily driving, as this project focuses on the underlying data analysis and model development.
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Jan 08, 2023
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