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Jan, 2022
动态模拟与强化学习实现的铁路运行调度系统
Railway Operation Rescheduling System via Dynamic Simulation and Reinforcement Learning
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Shumpei Kubosawa, Takashi Onishi, Makoto Sakahara, Yoshimasa Tsuruoka
TL;DR
本研究针对火车服务中断频繁发生的问题，设计了一个基于强化学习和动态模拟的自动化火车调度系统，系统能够快速生成优化的火车交通时间表，测试结果表明该系统能在数分钟内生成整个线路的优化时间表。
Abstract
The number of
railway service disruptions
has been increasing owing to intensification of natural disasters. In addition, abrupt changes in social situations such as the
covid-19 pandemic
require railway companie
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