Construction of Amulti-level and Multi-Resolution Simulation Model System for Metro Lines

To address the needs of operational efficiency analysis and emergency decision-making in urban metro systems, this study proposes a simulation framework based on multi-resolution modeling. Building upon the integration of Building Information Modeling (BIM), cloud data and mathematical analysis, Geographic Information Systems (GIS), and hybrid simulation methods, the paper discusses key issues and solutions related to the application of the model system. These include multi-resolution modeling, spatiotemporal coupling resolution-switching rules, and a model aggregation algorithm based on dynamic weighting. Industry case studies are used to validate the effectiveness and feasibility of the proposed approach in practical applications. Finally, the paper concludes with a summary and future outlook. The research findings offer significant theoretical and practical value for metro line planning, operation management, and development.(Abstract)

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Published
2025-07-11
DOI
https://doi.org/10.1109/ieeeconf65522.2025.11136884
Primary Topic
Traffic Prediction and Management Techniques
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article
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article

Construction of Amulti-level and Multi-Resolution Simulation Model System for Metro Lines

Hang Chen
Traffic Prediction and Management Techniques
article

Construction of Amulti-level and Multi-Resolution Simulation Model System for Metro Lines

Hang Chen
article en

Abstract

To address the needs of operational efficiency analysis and emergency decision-making in urban metro systems, this study proposes a simulation framework based on multi-resolution modeling. Building upon the integration of Building Information Modeling (BIM), cloud data and mathematical analysis, Geographic Information Systems (GIS), and hybrid simulation methods, the paper discusses key issues and solutions related to the application of the model system. These include multi-resolution modeling, spatiotemporal coupling resolution-switching rules, and a model aggregation algorithm based on dynamic weighting. Industry case studies are used to validate the effectiveness and feasibility of the proposed approach in practical applications. Finally, the paper concludes with a summary and future outlook. The research findings offer significant theoretical and practical value for metro line planning, operation management, and development.(Abstract)

Guangzhou Vocational College of Science and Technology (CN)
Openalex Percentile: Top 74%
Traffic Prediction and Management Techniques
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