Connected bike: Retrieving and analysing data from the on-board sensors in Smartphones
Problem Statement:
The world of mobility is being digitized, resulting in an intelligent transportation system (ITS). Bicycles can play a significant role in this, and can even become a key pillar of a sustainable, safe and effective mobile society. However, so far they are not fully integrated into the new era, which will bring potential risks due to the shared road infrastructures and unexpected cycling behavior. Our group in collaboration with TU Delft, TNO, Accell group and Saxion University of Applied Science is developing and testing a novel connected vehicles ecosystem which combines the capabilities of sensing, wireless technology and data science to make bicycle transportation more safe, reliable, and comfortable (more information can be found here).
One of the subproblems we are addressing now is the lateral maneuvering of bikes during cycling. Using a smartphone with its on board sensors will of course make the work easier yet challenging.
Task:
This project aims to design and develop a smartphone based app for understanding to what extent the on-board sensors in the smart-phones could be used on a bike to collect and analyse the surroundings and help the rider and the bike to become sophisticated. Data collection using modern sensors, e.g., Cameras, GPS, Gyroscope and IMU sensors etc… are needed for different weather conditions and different real-time scenarios. Based on the collected data, further data analytics will be done to understand the use of each and every sensor present in the smartphone.
Work:
40% Data collection, 40% data analytics, 20%Writing
Contact:
Akhil Pallamreddy (a.r.pallamreddy@utwente.nl)