TRAIN TRIP OPERATION SIMULATION MODELLING ON RELIABILITY ASPECT (STUDY AREA: OPERATION REGION II BANDUNG)
Train trip controlling is based on existing timetable known as gapeka (grafik perjalanan kereta api). Gapeka has a lack of flexibility, so policy implementation for its operation is limited. When disruptions occur, it cause train’s operation performance can not be significantly improved. Therefore,...
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| Format: | Theses |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/46765 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | Train trip controlling is based on existing timetable known as gapeka (grafik perjalanan kereta api). Gapeka has a lack of flexibility, so policy implementation for its operation is limited. When disruptions occur, it cause train’s operation performance can not be significantly improved. Therefore, a train trip operation simulation model is needed. This simulation model is expected to simulate some decision alternatives, which are decided by regulator or operator, so simulation results are obtained in the form of operational reliability.
The train trip operating system simulation is modeled on the following subsystems: (i) departure subsystem, (ii) on-board subsystem, and (iii) arrival subsystem. In the model, operational hour is applied for one day (24 hours). Train rolling stocks which involved into model are reguler trains. Train stations represent nodes, and rail segments represents links. Each segment can be passed by one train (for single track) and two opposite direction trains (for double track). Train speed on each segment is determined by speed limit and speed distribution data. At station, train’s dwell time is determined by stoppage type. Train traffic movement is regulated based on priority movement according to train type and class.
A case study is applied to this model. It is a post-crash event in the Nagreg – Lebakjero, so that trains are allowed to pass it with a maximum speed of 10 km/hour. Based on implementation of policy alternatives in the model, higher priority/class of trains movement setting affects trains with lower class/priority. Dwelling time management as a policy alternative is more effective than train reschedule, because produces better performance of delay and punctuality.
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