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Travel start-up innovates algorithm to predict train arrival time

IANS  |  New Delhi 

Annoyed of train delays and inaccurate predicted of arrival? RailYatri, a travel start-up, has suggested a technique to predict of Arrival (ETA) using with precision based on the data.

According to in, train travellers in have accepted delays as part of their train journeys. "But their frustration arises from the inability of the existing systems to correctly guide them on the of trains," the said in a release.

It also said that the delays and inaccurate leave many commuters stranded at platforms endlessly.

"has innovated a unique algorithm using and statistical modelling techniques to predict the arrival of running trains at their upcoming stoppage with much better precision," it said.

It said that the algorithm has been trained to analyse historical data of train runs spread over many years and predict the future outcome.

The claimed that "its is nearly 110 per cent better than the existing way of estimating "

said, "The existing method to predict the of trains in have not changed over decades and is typically based on the distance divided by the speed of the train added with some buffer time for safety formula."

"We believe that a much better technique is to make the ETA prediction based on historical data as it takes proper considerations of ground realities such as increasing traffic, rush, seasonality, etc.

"Our is highly adaptive and modify themselves as it learns from subsequent inputs. Hence, the predictions get better with time," Raizada added.



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

First Published: Thu, April 12 2018. 16:30 IST