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Smartphone app to improve rail safety, ride comfort

Smartphone app to improve rail safety, ride comfort
London, Feb 14 (IANS) A smartphone app that records bumps, bangs and vibration data on trains has the potential to improve train ride comfort and railway safety, says a study.

The findings, published in the journal Frontiers in Built Environment, showed that accelerometers found in modern smartphones are good enough to be used in measuring ride comfort.

"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 Sakdirat Kaewunruen from University of Birmingham in Britain.

 

"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 pointed out.

In the study, the researchers used a specially designed smartphone app to record vibration data from a train running on a test track, comparing the information gathered to a reference accelerometer.

They discovered that the technology used in modern smartphones is more than good enough to measure ride comfort aboard trains.

The researchers noted that mobile technology develops at a high rate and future smartphones would have higher quality accelerometers than those used in the experiment.

(This story has not been edited by Social News XYZ staff and is auto-generated from a syndicated feed.)

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Smartphone app to improve rail safety, ride comfort

About VDC

Doraiah Chowdary Vundavally is a Software engineer at VTech . He is the news editor of SocialNews.XYZ and Freelance writer-contributes Telugu and English Columns on Films, Politics, and Gossips. He is the primary contributor for South Cinema Section of SocialNews.XYZ. His mission is to help to develop SocialNews.XYZ into a News website that has no bias or judgement towards any.

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