Page 178 - 捷運技術 第59期
P. 178
168
REFERENCE [6] Kawashima, H., Komura, F.,
Honma, K., Iwasaki, A., Takaoka,
[1] CAREC,Track Capacity and T., Tashiro, K., & Monma, N., A
Timetable Software. Central Asia Total Railway System Simulator
Regional Economic Cooperation. an d its A p p licatio n to th e
2020. Evaluation of Energy-Saving Train
[2] Hirano, J., Tomii, N., Yamashita, Operation. Computers in Railways
O., & Kimura, Y., Development of III, 1, pages 85-95. 1992.
a Train Performance Computation [7] Kunimatsu, T., Terasawa , T., &
System on an Engineering Takeuchi, Y., Evaluation of Train
Workstation. Computers in Operation with Prediction Control
Railways III, 1, pages 127-136. by Simulation. 8Th International
1992. Conference on Railway Operations
[3] Huang, Y., Tan, L., Chen, L., & Modelling and Analysis –
Tang, T.,A Neural Network Driving RailNorrkoping 2019, pages 589-
Curve Generation Method for the 606. 2019.
Heavy-Haul Train. Advances in [8] Lee, C. K., & Sun, C. H.,A
Mechanical Engineering, 8(5), Simulation Study on Energy Saving
pages 1-14. 2016. Effect of Train Operation.
[4] Jong, J. C., & Chang, S., Algorithms Transportation Planning Journal,
for Generating Train Speed Profiles. 30(1), pages 237-252. 2001.
Journal of the Eastern Asia Society [9] Mic hl , Z., & Marti n, S.,
of Transportation Studies, 6, pages Microsimulation as a Tool for
356-371. 2005. Evaluation of Infrastructure and
[5] Jun, H. Y., Lee, D. H., & Yang, D. Operational Concept Alternatives
C., Development of a Simulator in a Complex Railway Node.
Based on Train Performance Logistyka 4/2014, pages 3029-
Simulation. Computer-Aided 3037. 2014.
Design and Applications, 3(1–4), [10] Murakami, K., Haga, I., Nakamura,
pages 465-473. 2006. H., Maehashi, S., & Yamashida, O.,
