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Railways plans to reduce train frequency

By Staff Reporter

GUWAHATI, Dec 27 - Indian Railways has decided to cancel and reduce the frequency of some trains from January 1 to February 28 next year on account of foggy weather.

A few trains operating to and fro the Northeastern region will also be affected on account of this, said Northeast Frontier Railway (NFR) Public Relations Officer Nripen Bhattacharya.

Between January 8 and February 28, the 12505 Guwahati-Anand Vihar has been cancelled on Tuesdays and Saturdays, while the 12506 Anand Vihar-Guwahati has been cancelled on Mondays and Thursdays.

The 15909 New Tinsukia Junction-Lalgarh Junction has been cancelled on Tuesdays and Saturdays, and the 15910 Lalgarh Junction-New Tinsukia Junction will remain cancelled on Tuesdays and Fridays during this period.

The 12423 Dibrugarh Town-New Delhi will not run on Wednesdays and the 12424 New Delhi-Dibrugarh Town will remain cancelled on Mondays.

Between January 8 and February 28 next year, the 13247 Kamakhya Junction-Danapur will be cancelled on Thursdays and the 13248 Danapur-Kamakhya Junction will not run on Tuesdays.

In addition, the 14055 Dibrugarh-Delhi Junction has been cancelled on Wednesdays and Sundays and the 14056 Delhi Junction-Dibrugarh has been cancelled on Thursdays and Sundays during this period. Bhattacharya said that heavy fog in the North Indian plains, especially in parts of Bihar and Uttar Pradesh, has affected services of trains.

�Since November till now, 88 trains from and to the NFR zone have been affected by the fog. Many trains have been delayed by between one to 10 hours. The cancellations and reduction in frequency has been undertaken to streamline running of rakes. This is a regular feature during the months of December, January and February and once the fog season is over normal services will resume,� he said.

Bhattacharya added that for safety of passengers, many trains are running at reduced speeds of around 25-50 km per hour during the night in the areas affected by fog and this has also affected the time factor.

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