Field test of train trajectory optimisation on a metro line
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DOI: 10.1049/iet-its.2016.0214
Abstract: Train trajectory optimisation plays a key role in improving energy saving performance and it is currently receiving increasing attention in railway research because of rising energy prices and environmental concerns. There have been many studies… read more here.
Keywords: train trajectory; field test;
A hybrid machine learning approach for train trajectory reconstruction under interruptions considering passenger demand
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DOI: 10.1080/23248378.2024.2329717
Abstract: 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 Proximal Policy Optimization (PPO), is first used to obtain… read more here.
Keywords: train; train trajectory; machine learning; model ... See more keywords
Deep Reinforcement Learning for Integration of Train Trajectory Optimization and Timetable Rescheduling Under Disturbances
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2024.3357494
Abstract: High-speed trains are susceptible to unexpected events such as strong winds and equipment failures, which can result in deviations from the scheduled timetable. As the density of traffic increases, these delays can quickly spread to… read more here.
Keywords: timetable rescheduling; train; trajectory optimization; train trajectory ... See more keywords