Prediction of Train Arrival Delay Using Hybrid ELM-PSO Approach

Prediction of Train Arrival Delay Using Hybrid ELM-PSO Approach

In this study, a hybrid method combining extreme learning machine (ELM) and particle swarm optimization (PSO) is proposed to forecast train arrival delays that can be used for later delay management and timetable optimization. First, nine characteristics (e.g., buffer time, the train number, and sta...

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Bibliographic Details
Main Authors:	Xu Bao, Yanqiu Li, Jianmin Li, Rui Shi, Xin Ding
Format:	Article
Language:	English
Published:	Hindawi-Wiley 2021-01-01
Series:	Journal of Advanced Transportation
Online Access:	http://dx.doi.org/10.1155/2021/7763126

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