Long term plans for railways in Thailand include building metro and commuter lines in the Bangkok Metropolitan area. For identification purposes these are color-coded. The two Red Lines link Bangkok with suburban areas along north-south and east-west corridors. The expansion of the Light Red line to the west of Bangkok will terminate at "Salaya", with a spur line to "Siriraj". This will be the first network in Thailand on which electrified commuter and conventional long distance trains share tracks. This research investigates operational challenges between the different train types on the section from the main line terminal of "Bang Sue" to "Salaya" using a simulation model using OpenTrack program is asynchronous simulation. Study the possibility of using a shared rail and stations for train operation of different train types on the Red Line railway, including the impact on the various routes. The simulation showed that the different route reserving and releasing principles of the Light Red Line and the conventional line cause considerable capacity limitation along this main line sharing network. In the case of mixed traffic with only the commuter main line operations, the Light Red Line train can operate with a 10 minute-headway. If there is a need to use both commuter main and spur lines, only 15 minute headway can be achieved. The Light Red Line shuttle train service along the "Siriraj" spur line section should be considered in order to reduce the congestion effect caused by sharing tracks.

@inproceedings{oscm-2020-1801,
  title={MIXED TRAFFIC TIMETABLE SIMULATION ANALYSIS: A CASE STUDY OF RED LINE COMMUTER TRAIN},
  year={2020},
  author={Nattita Limboonngam and Waressara Werawat},
  booktitle={Proceedings of the 10th International Conference on Operations and Supply Chain Management, 2020},
  doi={10.31387/oscm490269}
}

Nattita Limboonngam, Waressara Werawat (2020). MIXED TRAFFIC TIMETABLE SIMULATION ANALYSIS: A CASE STUDY OF RED LINE COMMUTER TRAIN. In Proceedings of the 10th International Conference on Operations and Supply Chain Management, 2020. https://doi.org/10.31387/oscm490269