Project: Analyzing Bus driver behaviour using Mobile

Description

Google Nexus4 phones are placed inside campus shuttles, and an app is developed to collect sensor data from the phones.

• We try to monitor the driving behaviour of the user based on the information recieved from the sensors.
• We can also predict the traffic based on the speed and number of stops driver makes.

Install

This project requires Python >= 2.7 and the following Python libraries installed:

• NumPy
• Pandas
• matplotlib
• scikit-learn
• gmaps ( need to use your own config file with google api key + update ipywidgets before installing gmaps)

You will also need to have software installed to run and execute a Jupyter Notebook

If you do not have Python installed yet, it is highly recommended that you install the Anaconda distribution of Python , which already has the above packages and more included.

Data

The data used is collected from campus shuttles at " Binghamton University ", data would be provided upon request.

Data contains 7 different files

• Accelerometer.csv
• Gyroscope.csv
• Battery.csv
• GPS.csv
• Motionstate.csv ( 'Driving' or 'idle' )
• wifi.csv
• step.csv
• speed.csv
• barometer.csv

Sensors Used:-

• Accelerometer
• Gyroscope
• GPS