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Optimal edge-cloud collaboration based strategies for minimizing valid latency of railway environment monitoring system

Xiaoping Ma Jing Zhao Limin Jia Xiyuan Chen Zhe Li

高速铁路（英文）2023，Vol.1Issue(3)：185-194,10.

高速铁路（英文）2023，Vol.1Issue(3)：185-194,10.DOI:10.1016/j.hspr.2023.09.002

Optimal edge-cloud collaboration based strategies for minimizing valid latency of railway environment monitoring system

Xiaoping Ma ¹Jing Zhao ²Limin Jia ¹Xiyuan Chen ³Zhe Li³

作者信息

1. Key Laboratory of Rail Traffic Control and Safety,Beijing Jiaotong University,Beijing 100044,China||Beijing Research Center of Urban Traffic Information Intelligent Sensing and Service Technologies,Beijing 100044,China||Research and Development Center of Transport Industry of Technologies and Equipments of Urban Rail Operation Safety Management,MOT,Beijing 100044,China
2. School of Traffic and Transportation,Beijing Jiaotong University,Beijing 100044,China||National Innovation Center of Intelligent and Connected Vehicles,Beijing 102607,China
3. School of Traffic and Transportation,Beijing Jiaotong University,Beijing 100044,China
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摘要

关键词

Railway environment monitoring/Edge-cloud collaboration computing/Valid latency optimization

Key words

Railway environment monitoring/Edge-cloud collaboration computing/Valid latency optimization

引用本文复制引用

Xiaoping Ma,Jing Zhao,Limin Jia,Xiyuan Chen,Zhe Li..Optimal edge-cloud collaboration based strategies for minimizing valid latency of railway environment monitoring system[J].高速铁路（英文）,2023,1(3):185-194,10.

基金项目

This work is supported by the National Natural Science Foundation of China(No.61903023) （No.61903023）

the Natural Science Foundation of Beijing Municipality(No.4204110) （No.4204110）

State Key Laboratory of Rail Traffic Control and Safety(No.RCS2020ZT006,RCS2021ZT006) （No.RCS2020ZT006,RCS2021ZT006）

the Fundamental Research Funds for the Central Universities(No.2020JBM087). （No.2020JBM087）

高速铁路（英文）

ISSN：2949-8678

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