Construction of Motion in an Intelligent System with an Automated Dispatcher-Reference-Cited by-同舟云学术

Construction of Motion in an Intelligent System with an Automated Dispatcher

Published:2022-01 Issue:1 Volume:61 Page:47-53
ISSN:1064-2307
Container-title:Journal of Computer and Systems Sciences International
language:en
Short-container-title:J. Comput. Syst. Sci. Int.

Author:

Gorbachev R. A.,Zakharova E. M.,Makarov I. S.,Tsurkov V. I.

Publisher

Pleiades Publishing Ltd

Subject

Applied Mathematics,Computer Networks and Communications,Computer Vision and Pattern Recognition,Information Systems,Theoretical Computer Science,Control and Systems Engineering,Software

Link

https://link.springer.com/content/pdf/10.1134/S1064230722010051.pdf

Reference10 articles.

1. R. A. Gorbachev, E. M. Zakharova, I. S. Makarov, and V. I. Tsurkov, “Intelligent system for step-by-step control during the operational rebuilding of the schedule,” J. Comput. Syst. Sci. Int. 60 (5) (2021, in press).

2. L. Ning, Y. Li, M. Zhou, H. Song, and H. Dong, “A deep reinforcement learning approach to high-speed train timetable rescheduling under disturbances,” in Proceedings of the IEEE Intelligent Transportation Systems Conference ITSC, Auckland, New Zealand, 2019, pp. 3469–3474.

3. Jih-Wen Sheu and Wei-Song Lin, “Designing automatic train regulation for MRT system by adaptive critic method,” in Proceedings of the IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence), Hong Kong, 2008, pp. 406–412.

4. A. Bettinelli, A. Santini, and D. Vigo, “A real-time conflict solution algorithm for the train rescheduling problem,” Transport. Res., Part B: Methodol. 106, 237–265 (2017).

5. E. M. Zakharova, R. A. Gorbachev, A. N. Novikov, and I. S. Makarov, “Research and development of an intelligent system for rapid train schedule adjustment based on step-by-step neural control,” in Proceedings of the 2020 International Conference on Engineering and Telecommunication (En&T), Dolgoprudny, 2020, pp. 1–5.