For using trainman further, please install chrome extension for it to work effectively
Date:
superfast

Vidisha to Sasaram trains

<     >
Train Dep Arr Travel M T W T F S S 1A % 2A % 3A % 3E % SL %
HWH SHIPRA EXP
22911
05:02
BHS
21:30
SSM
16:28 - - W - F - S Status
% Status
% Status
% Status
% Status
%
Interesting facts about Vidisha to Sasaram trains

1 trains run from Vidisha to Sasaram , including 1 superfast trains.
The fastest train from Vidisha to Sasaram is 22911 HWH SHIPRA EXP which travels a distance of 862 kms in just 16 hours and 28 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 Vidisha to Sasaram is Rs 2940 in First AC (1A), Rs 1750 in Second AC (2A), Rs 1235 in Third AC (3A) and Rs 470 in Sleeper (SL) in general quota.
Tatkal ticket fare and premium tatkal fare in this route starts from Rs 2240 in Second AC (2A), Rs 1575 in Third AC (3A) and Rs 595 in Sleeper (SL).
Important railway stations in this route are Ganj Basoda, Bina Jn, Saugor, Damoh, Maihar, Satna, Manikpur Jn, Mirzapur, Deendayal Upadhyaya Jn and Bhabua Road.
Vidisha has 1 stations namely Vidisha while Sasaram has 1 stations namely Sasaram.
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.