Driver Behaviour Analysis Using Accelerometers on Android Devices

The objective of this project is to develop a software solution that can analyze the accelerometer data on android devices and report certain metrics of a moving vehicle related to road safety and driving conditions. The reports can then be used for immediate call for action in case of detecting an emergency or collecting the statistical data over a longer time period for assessing the general driving behavior. Advanced AI tools can be trained to immediately detect dangerous or harmful situations or patterns by monitoring the data on the device and reporting anomalies or sending alerts to the central control entity. In addition to data science skills, this project requires a good understanding of physics and dynamics of vehicles in driving conditions as well as a strong background in mobile device hardware and software engineering.

Faculty Supervisor:

Arvind Gupta;Huaxiong Huang

Student:

Partner:

SOTI Inc

Discipline:

Computer science

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

University of Toronto

Program: