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Dynamic train dwell time forecasting:a hybrid approach to address the influence of passenger flow fluctuations

Zishuai Pang Liwen Wang Shengjie Wang Li Li Qiyuan Peng

铁道工程科学（英文）2023，Vol.31Issue(4)：351-369,19.

铁道工程科学（英文）2023，Vol.31Issue(4)：351-369,19.DOI:10.1007/s40534-023-00311-7

Dynamic train dwell time forecasting:a hybrid approach to address the influence of passenger flow fluctuations

Zishuai Pang ¹Liwen Wang ¹Shengjie Wang ¹Li Li ²Qiyuan Peng²

作者信息

1. School of Transportation and Logistics,Southwest Jiaotong University,Chengdu 610031,China
2. School of Transportation and Logistics,Southwest Jiaotong University,Chengdu 610031,China||National Engineering Laboratory of Integrated Transportation Big Data Application Technology,Southwest Jiaotong University,Chengdu 610031,China
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摘要

关键词

Train operations/Dwell time/Passenger flow/Averaging mechanism/Dynamic smoothing

Key words

Train operations/Dwell time/Passenger flow/Averaging mechanism/Dynamic smoothing

引用本文复制引用

Zishuai Pang,Liwen Wang,Shengjie Wang,Li Li,Qiyuan Peng..Dynamic train dwell time forecasting:a hybrid approach to address the influence of passenger flow fluctuations[J].铁道工程科学（英文）,2023,31(4):351-369,19.

基金项目

This work was supported by the National Natural Science Foundation of China(No.71871188). （No.71871188）

铁道工程科学（英文）

ISSN：2662-4745

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