Driving Behaviour Analysis on GPS data

Abstract

Driving behaviour analysis is required to understand the major cause of road crashes and harsh driving today. It is important to understand the different factors of driving when we talk about better safety concerns. Our project will be going to analyse the driving behaviour on GPS data. The project will have information of the car, driver and environment. And will apply different techniques and algorithms of machine learning to analyse the driving behaviours. It will focus on the driving behaviour, risk patterns, travel trajectories, speed, location, time, acceleration, deceleration, dimension of the car etc. We will apply naturalistic driving approach in which driving data will be recorded through GPS after time intervals. We will determine the driving pattern of the driver, his route choices, his acceleration, deceleration, speed limit and score of the trip. And then the application will classify the driver’s behaviour after his daily trip score.