A hybrid machine learning approach for train trajectory reconstruction under interruptions considering passenger demand

IF 3.4 2区工程技术 Q2 TRANSPORTATION SCIENCE & TECHNOLOGY

International Journal of Rail Transportation Pub Date : 2024-04-02 DOI:10.1080/23248378.2024.2329717

Zishuai Pang, Liwen Wang, Li Li

引用次数: 0

Abstract

This paper applies a hybrid data-driven prediction and optimization method to study the train trajectory reconstruction under interruption conditions. A deep reinforcement learning model, called Pr...

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考虑乘客需求的中断情况下列车轨迹重构的混合机器学习方法

本文采用数据驱动的预测与优化混合方法来研究中断条件下的列车轨迹重构。一种名为 "Pr...

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来源期刊

International Journal of Rail Transportation TRANSPORTATION SCIENCE & TECHNOLOGY-

CiteScore

6.90

自引率

15.00%

发文量

期刊介绍： The unprecedented modernization and expansion of rail transportation system will require substantial new efforts in scientific research for field-deployable technologies. The International Journal of Rail Transportation (IJRT) aims to provide an open forum for scientists, researchers, and engineers in the world to promote the exchange of the latest scientific and technological innovations in rail transportation; and to advance the state-of-the-art engineering and practices for various types of rail based transportation systems. IJRT covers all main areas of rail vehicle, infrastructure, traction power, operation, communication, and environment. The journal publishes original, significant articles on topics in dynamics and mechanics of rail vehicle, track, and bridge system; planning and design, construction, operation, inspection, and maintenance of rail infrastructure; train operation, control, scheduling and management; rail electrification; signalling and communication; and environmental impacts such as vibration and noise. The editorial policy of the new journal will abide by the highest level of standards in research rigor, ethics, and academic freedom. All published articles in IJRT have undergone rigorous peer review, based on initial editor screening and anonymous refereeing by independent experts. There are no page charges and colour figures are included in the online edition free of charge.