Computation Resource Optimization for Large-Scale Intelligent Urban Rail Transit: A Mean-Field Game Approach-Reference-Cited by-同舟云学术

Computation Resource Optimization for Large-Scale Intelligent Urban Rail Transit: A Mean-Field Game Approach

Author:

Li Yang¹^ORCID,Zhu Li¹^ORCID,Wu Jinsong²^ORCID,Wang Hongwei³^ORCID,Yu F. Richard⁴^ORCID

Affiliation:

1. State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, China

2. Department of Electrical Engineering, Universidad de Chile, Santiago, Chile

3. Department of Electronic Information Engineering, Beijing Jiaotong University, Beijing, China

4. School of Information Technology, Carleton University, Ottawa, ON, Canada

Funder

National Natural Science Foundation of China

Beijing Municipal Education Commission Funding

China State Railway Group Company Ltd. Project

Beijing Natural Science Foundation

Beijing Jiaotong University Project

Beijing Natural Science Foundation-Fengtai Rail Transit Frontier Research Joint Founding

China Guangxi Science and Technology Plan Project

Chile CONICYT FONDECYT Regular

Chile CONICYT FONDEF

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Aerospace Engineering,Automotive Engineering

Link

Reference37 articles.

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