KIEE - The Transactions of the Korean Institute of Electrical Engineers

1

M. K. Park, "A study on safety system improvements for the transition to unattended train operation (UTO) in urban railways - Focusing on Railway Operator A -," Journal of Korean Society for Urban Railway, vol. 13, no. 2, pp. 1885-1893, 2025.

2

K. Kim, J. Lee, M. Park, "Study of an optimal control algorithm for train interval under disturbance," Journal of the Korean Society for Railway, vol. 18, no. 5, pp. 419-425, 2015.

3

A. Ateş, S. Açıkbaş, M. T. Söylemez, "Comparison of disturbance resolution between timetable and headway based regulations in CBTC: A case study of Marmaray," pp. 1060-1065, Proc. 2019 11th International Conference on Electrical and Electronics Engineering (ELECO), 2019.

4

H. Hewamalage, K. Ackermann, C. Bergmeir, "Forecast evaluation for data scientists: common pitfalls and best practices," Data Mining and Knowledge Discovery, vol. 37, no. 2, pp. 788-832, 2023.

5

H. Ni, Q. Fu, J. Easton, N. Zhao, T. N. Arvanitis, "Reinforcement learning in railway research and applications: A review," Transportation Research Interdisciplinary Perspectives, vol. 39, 2026.

6

Y. Liu, T. Tang, L. Yue, J. Xun, H. Guo, "An intelligent train regulation algorithm for metro using deep reinforcement learning," pp. 1208-1213, Proc. 2018 21st International Conference on Intelligent Transportation Systems (ITSC), 2018.

7

X. Wang, S. Su, Y. Cao, X. Wang, "Robust control for dynamic train regulation in fully automatic operation system under uncertain wireless transmissions," IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 11, pp. 20721-20734, 2022.

8

Y.-J. Kim, K.-H. Kim, "Mitigating congestion-induced delays in urban rail operations using DQN-based operational adjustment," Journal of the Korean Society for Railway, vol. 29, no. 5, pp. 502-510, 2026.

9

Z. Chen, S. Li, L. Yang, H. Jiang, "Human-like hierarchical decision-making for real-time train regulation strategies in urban rail transit lines," Transportation Research Part C: Emerging Technologies, vol. 188, 2026.

10

H. Huo, H. Lv, Y. Yang, H. Yang, X. Ye, D. Chen, M. Lv, "An adaptive multi-agent deep reinforcement learning approach to unify disturbances and disruptions for high-speed railway rescheduling," Applied Mathematical Modelling, vol. 153, 2026.

11

M. Alshiekh, R. Bloem, R. Ehlers, B. Könighofer, S. Niekum, U. Topcu, "Safe reinforcement learning via shielding," vol. 32, no. 1, pp. 2669-2678, Proceedings of the AAAI Conference on Artificial Intelligence, 2018.

12

S. Huang, S. Ontañón, "A closer look at invalid action masking in policy gradient algorithms," vol. 35, The International FLAIRS Conference Proceedings, 2022.

13

J. Lin, X. Qiu, M. Li, "Tracking interval control for urban rail trains based on safe reinforcement learning," Engineering Applications of Artificial Intelligence, vol. 137, no. Part B, 2024.

14

J. Schulman, F. Wolski, P. Dhariwal, A. Radford, O. Klimov, "Proximal policy optimization algorithms," arXiv preprint arXiv:1707.06347, 2017.

15

C. F. Daganzo, "A headway-based approach to eliminate bus bunching: Systematic analysis and comparisons," Transportation Research Part B: Methodological, vol. 43, no. 10, pp. 913-921, 2009.

16

C. Ying, A. H. F. Chow, Y. Yan, Y.-H. Kuo, S. Wang, "Adaptive rescheduling of rail transit services with short-turnings under disruptions via a multi-agent deep reinforcement learning approach," Transportation Research Part B: Methodological, vol. 188, 2024.

17

T. Tang, S. Chai, W. Wu, J. Yin, A. D'Ariano, "A multi-task deep reinforcement learning approach to real-time railway train rescheduling," Transportation Research Part E: Logistics and Transportation Review, vol. 194, 2025.

18

H. Yin, L. Liu, X. Chang, H. Fu, J. Wu, "Optimizing integrated train rescheduling strategies for diverse disruption scenarios using reinforcement learning," Computers & Industrial Engineering, vol. 207, 2025.

19

Y. Zhang, S. Li, Y. Yuan, L. Yang, "Multi-step look ahead deep reinforcement learning approach for automatic train regulation of urban rail transit lines with energy-saving," Engineering Applications of Artificial Intelligence, vol. 145, 2025.

20

M.-K. Park, "Traffic regulation algorithm for metro lines with time delay," Journal of IKEEE, vol. 26, no. 4, pp. 590-595, 2022.

21

J. Pochet, S. Baro, G. Sandou, "Automatic train supervision for a CBTC suburban railway line using multiobjective optimization," pp. 1-6, Proc. 2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC), 2017.

22

I.-B. Chung, "A study on the resolution of train location impossible in a communication-based train control (CBTC) system (focusing on the case of Incheon Transportation Corporation Line 2)," Journal of Korean Society for Urban Railway, vol. 14, no. 2, pp. 2109-2116, 2026.

23

S.-C. Oh, Y.-J. Kim, "Analysis of minimum junction and turn-back headways in an autonomous train control system," Journal of the Korea Academia-Industrial Cooperation Society, vol. 26, no. 12, pp. 724-734, 2025.

24

K.-H. Choi, "Train operation display and control techniques for communication based train control system," The Transactions of the Korean Institute of Electrical Engineers B, vol. 53, no. 9(B), pp. 545-551, 2004.

25

R.-G. Jeong, B.-H. Kim, S.-W. Kang, Y.-H. Kho, "Study on the design of operation scenario for replacement of a railway signaling system," The Transactions of the Korean Institute of Electrical Engineers, vol. 63, no. 8, pp. 1064-1069, 2014.

26

Y.-S. Kang, "A study on interoperability and applicability of the Korean Radio based Train Control System (KRTCS)," The Transactions of the Korean Institute of Electrical Engineers, vol. 65, no. 6, pp. 1095-1102, 2016.

27

W.-J. Hwang, J.-W. Kang, "A study on communication-failed train position display in CBTC," The Transactions of the Korean Institute of Electrical Engineers, vol. 75, no. 4, pp. 899-908, 2026.

28

P. Henderson, R. Islam, P. Bachman, J. Pineau, D. Precup, D. Meger, "Deep reinforcement learning that matters," vol. 32, no. 1, pp. 3207-3214, Proceedings of the AAAI Conference on Artificial Intelligence, 2018.

KIEEThe Transactions of
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KIEEThe Transactions ofthe Korean Institute of Electrical Engineers