Scientists at the University of Birmingham (UK) have developed a mobile application that allows transit passengers to measure ride comfort with their smart phones.
The researchers used artificial neural networks to map data gathered from smart phones in order to evaluate ride quality. A specially designed smart phone app recorded vibration data from a train running on a test track based on the phone’s accelerometer.
“Our research opens the door for many opportunities, allowing passengers to provide instant feedback on the comfort of their journey and equipping railway companies with information they can use to further improve ride comfort for passengers,” said Dr. Sakdirat Kaewunruen, senior lecturer in railway and civil engineering, in a statement.
“There is also potential for this technology to be used to detect track faults and indicate which sections of track are in need of maintenance, possibly saving on maintenance costs and improving the safety of the railway,” Kaewunruen added.
Researchers Adam Azzoug and Sakdirat Kaewunruen published their paper “RideComfort: A Development of Crowdsourcing Smartphones in Measuring Train Ride Quality” in Frontiers in Built Environment.
Photo source: University of Birmingham