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iDrive Project
Project Funded by UEFISCDI

Intelligent connected vehicle cooperative system for enhanced driving experience (iDrive)

iDrive aims to improve the driving experience.
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Speeding cars blur blue in modern city rush generated by artificial intelligence
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Motivation

Learning your driving style

Driving style (DS) recognition is vital in improving fuel efficiency, thus addressing environmental concerns. By recognizing the direct relationship between DS and fuel efficiency, we can streamline efforts to optimize vehicle performance and promote environmentally friendly practices.
DS is directly linked to road safety. Aggressive driving behaviours significantly contribute to unsafe practices on the road. Recognizing and addressing these behaviours can create a safer driving environment for all road users.

iDrive is a project that leverages the power of smartphone technology,
OBD connectivity, and intelligent algorithms to create an intelligent connected vehicle cooperative system. This novel integration will allow for the retention and quantification of DS, facilitating benefits such as personalized insurance plans based on driving behaviour, enhanced fuel efficiency, and timely notifications for maintenance requirements.

Objectives

The main objective of iDrive is to develop an intelligent connected vehicle cooperative system that enhances the driving experience by leveraging smartphone sensors and OBD connectivity. Specific objectives of iDrive:
Retain and Quantify Driving Style

Capture and quantify individual DS using smartphone sensors and the OBD II interface data.

Enhance Driving Safety

Utilize the collected driving behaviour data to
identify potential hazards and unsafe driving patterns.

Improve Driving Efficiency

Optimize driving efficiency by analyzing driving
patterns, traffic conditions, and contextual factors.

Offer Personalized Recommendations

Provide custom notifications, including timely reminders for vehicle maintenance tasks such as oil, filter, and tire changes.

Collaborative Data Analysis

Capture broader trends and patterns in
driving behaviour and provide users with more accurate data.

Stakeholders involvement

Involve stakeholders such as public entities, government, insurance companies, or automotive manufacturers.