Project: Real-time Car Data collection, Management, Analysis and Prediction
Duration: 03.2016 - 02.2018
Industry: MtoV Inc.
Description: In this project, we have collected car data from fifteen drivers over the course of one month, resulting in a total of 15,000 data points using an OnBoard-Diagnosis version II (OBD-II) scanner device. Our aim is to identify trends and patterns in the data that can inform the development of advanced intelligent vehicle systems and prevent accidents by evaluating the changes in the quality of cars over time. We have also sought to improve drivers' skills by analyzing the meta features of automotive vehicles. To achieve these goals, we have employed data science and machine learning algorithms to analyze and predict car data for driver safety and economic driving metrics in real-world scenarios. Through this project, we hope to contribute to the advancement of intelligent vehicle systems and enhance the safety and efficiency of car travel.
Pamul Yadav, Sangsu Jung, Dhananjay Singh, "Machine learning based real-time vehicle data analysis for safe driving modeling", SAC '19: Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, April 2019 Pages 1355–1358. https://doi.org/10.1145/3297280.3297584
Industrial project: Successfully completed and delivered