dissertation topics it   Train Scheduling and Simulation System in Australia: A Case Study on Rail Corp

1. Introduction

The changing system of train scheduling helps Australian rail corp organization in increasing their profit share and performance (Allman, 2014). On the other hand, report is having discussion about the simulation and scheduling process of trains.

 

1.1 Aim of research study

The aim of this study is to analyze the simulation and scheduling method opted by rail corp organization of Australia. In addition to this, the other aim of study is to analyze the algorithm used for scheduling and simulation process of trains.

 

1.2 Objective of research study

The main objective of research study is as –

  • To analyze the traditional method of train scheduling and simulation process of rail corp
  • To analyze the new implemented method for simulation and scheduling of trains by Australian organization rail corp.
  • To analyze the effectiveness of the implemented system in rail corp.
  • To determine and analyze the importance of system.
 

1.3 Hypothesis

H0- Train simulation and scheduling system is effective for Australian rail corp organization

H1 - Train simulation and scheduling system is not effective for Australian rail corp organization

 

 

2. Literature review

2.2 Train scheduling and simulation system

As mentioned by Landex and Nielsen (2013), traditionally train scheduling was done with the help of human experts. But after implementation of this system, rail corp trains scheduling is done with the help of algorithm and IT tools. The simulation and scheduling is done for three line of railway, that is, three trains can run together. The railway tracks are synchronized and the running of train is managed by algorithm. In addition to this Li et al. (2013) stated, the synchronizing of train help in reducing the operation time and it also help in improving the perform level of trains. The change of trains track in rail corp organization of Australia is managed by different set of algorithm or technology. As mentioned by Makkinga (2013), the complete process is dependent on algorithm and coding. That is, change in tracks, running of trains and other activities of trains are managed with the help of technology.

 

2.4 Importance of Train simulation and scheduling system in rail corps

In context to this Zhang et al. (2013) stated, the simulation and scheduling system opted by rail corp help in improving their productivity and performance level. For example, with the implementation of this system, rail corp number of trains on running mode in increased. That is, at one time three different trains can run together. And it has also helped in increasing their number of passengers or service users. As stated by Yal and Mirac (2012), the scheduling and simulation process is beneficial for Australian rail corp organization.

 

2.5Summary

The train simulation and scheduling process is dependent on algorithm and technology. On the other hand, it has also helped rail corp in increasing their profit share as well as their performance level.


3. Research methodology

3.1 Research approach

The research approach helps in analyzing the complete research process and different theories and methods. The research approach used in this study is inductive research approach, that is, this approach include top to bottom method. The analysis is done top to bottom and the research process is also completed under this method.

 

3.2 Research design

As mentioned by Zhou and Mi (2013), the research designing process helps in presenting the research study in proper manner. It also helps in presenting the collected data and information regarding the topic. On the other hand, the research designing process opted for this study is descriptive and explanatory. The designing is done taking into consideration designing method opted.

 

3.3 Research philosophy

As stated by Allman (2014), research philosophy help in collecting all information with the help of different theories, assumption regarding the simulation system. The research study is completed with the help of different theories and assumptions.

 

3.4 Data collection approach

The data collection approach opted for this research study is primary data and secondary data. With the help of different technical experts and employees of rail corp primary data is collected.

 

3.5 Sample Size

The sample size of the research study is as, 10 technical experts who are involved in simulation and scheduling process. In addition to this, 5 employees of rail corp engaged in same process.

 

3.6 Research ethics

The research study is completed taking into consideration all rules and regulation. On the other hand, code of conduct is also considered while research process.

 

3.7 Limitations

The main limitation is regarding time, budget and information retrieving sources.


 

 

References

Allman, W. (2014). A network-simulation approach to the railroad freight train scheduling and car sorting problem.

Landex, A. and Nielsen, O. (2013). Simulation of disturbances and modelling of expected train passenger delays.

Li, W., Wei, S., Cai, B. and Wang, J. (2013). Signal Simulation of the Train Integrated Positioning System. AMR, 740, pp.86-91.

Makkinga, F. (2013). A new user interface for the train traffic control system.

Yalçınkaya, Ö. and Mirac Bayhan, G. (2012). A feasible timetable generator simulation modelling framework for train scheduling problem. Simulation Modelling Practice and Theory, 20(1), pp.124-141.

Zhang, L., Han, B. and Lu, F. (2013). Design of High-Speed Railway Train Dispatching Simulation Training System. AMM, 361-363, pp.1594-1597.

Zhou, Y. and Mi, C. (2013). Modeling and simulation of train movements under scheduling and control for a fixed-block railway network using cellular automata. SIMULATION, 89(6), pp.771-783.