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Date:
express ac-express

Palasa to Satya Sai P Nilayam trains

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Train Dep Arr Travel M T W T F S S 1A % 2A % 3A % SL %
PRASHANTHI EXP
18463
09:25
PSA
07:38
SSPN
22:13 M T W T F S S Status
% Status
% Status
% Status
%
BBS YPR SPL
02811
22:35
PSA
21:40
SSPN
23:05 - - - - - S - - - - - Status
% - -
Interesting facts about Palasa to Satya Sai P Nilayam trains

2 trains run from Palasa to Satya Sai P Nilayam .
The fastest train from Palasa to Satya Sai P Nilayam is 18463 PRASHANTHI EXP which travels a distance of 1138 kms in just 22 hours and 13 minutes.
The most punctual train in this route is which reaches with an average delay of just NA.
The least punctual train in this route is which reaches with an average delay of NA.
The minimum fare for trains from Palasa to Satya Sai P Nilayam is Rs 3420 in First AC (1A), Rs 2025 in Second AC (2A) and Rs 525 in Sleeper (SL) in general quota.
Tatkal ticket fare and premium tatkal fare in this route starts from Rs 2550 in Second AC (2A) and Rs 675 in Sleeper (SL).
Important railway stations in this route are Khurda Road Jn, Brahmapur, Vizianagram Jn, Vishakapatnam, Samalkot Jn, Rajamundry, Eluru, Vijayawada Jn, Guntur Jn and Bengaluru City Jn.
Palasa has 1 stations namely Palasa while Satya Sai P Nilayam has 1 stations namely Satya Sai P Nilayam.
Note:
  • Colored clock icon under Dep and Arr column signify punctuality of the train based on average delay over last 7 days.
        - Average delay is more than 2 hours.     - Average delay is less than 2 hours.
  • RAC is considered as confirmed for evaluating confirmation chances.
  • Colors under confirmation chances mean following:
       Red - Not likely to confirm.    yellow - Difficult to say if this will confirm or not.    Green - Very likely to confirm.
  • Seat availability and berth status functionality may not be available between 11:30 pm and 12:30 am.
  • Disclaimer - Trainman is in no way affiliated to Indian Railways, therefore some times, the information shown may not be accurate. Trainman also does not claim 100% accuracy on any prediction done for waitlisted tickets.