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W.Z. Liu¹, K. Chen¹, G. Dursun¹, S. Kapoor¹, M. Berg¹, E. Dunkars² and J. Forsberg³

¹Department of Engineering Mechanics, KTH Royal Institute of Technology, Sweden
²Trafikförvaltningen, Region Stockholm, Sweden
³Energy, MTR Nordic AB, Sweden

doi:10.4203/ccc.7.10.6

W.Z. Liu, K. Chen, G. Dursun, S. Kapoor, M. Berg, E. Dunkars, J. Forsberg, "Decision-Making Model of Urban Rail System for Operation Optimization and System Upgrading", in J. Pombo, (Editor), "Proceedings of the Sixth International Conference on Railway Technology: Research, Development and Maintenance", Civil-Comp Press, Edinburgh, UK, Online volume: CCC 7, Paper 10.6, 2024, doi:10.4203/ccc.7.10.6

Keywords: urban rail transport, energy saving, capacity increasing, decision-making, operation optimization, system upgrading.

Abstract

Urban rail transport is an efficient and environmentally friendly transport solution. However, there are many challenges due to weak power supply and high capacity demand. To reduce energy consumption, minimize operational costs and increase transport capacity, there are many possible solutions to achieve these goals. It is needed to make a smart and cost-effective plan for efficiently using infrastructure as well as saving energy. This paper proposes a decision-making model to demonstrate the effectiveness of different technical solutions and quantify their costs and benefits on the energy and capacity aspects for comparison. Based on the model, two case studies on the Stockholm commuter trains and metro trains with several technical solutions as examples are analyzed. The model is supposed to provide a key reference for decision-makers to set up a smart and cost-effective management plan for efficiently using infrastructure as well as saving energy.

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Front Page Browse CCC CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Civil-Comp Conferences ISSN 2753-3239 CCC: 7 PROCEEDINGS OF THE SIXTH INTERNATIONAL CONFERENCE ON RAILWAY TECHNOLOGY: RESEARCH, DEVELOPMENT AND MAINTENANCE Edited by: J. Pombo Paper 10.6 Decision-Making Model of Urban Rail System for Operation Optimization and System Upgrading W.Z. Liu¹, K. Chen¹, G. Dursun¹, S. Kapoor¹, M. Berg¹, E. Dunkars² and J. Forsberg³ ¹Department of Engineering Mechanics, KTH Royal Institute of Technology, Sweden ²Trafikförvaltningen, Region Stockholm, Sweden ³Energy, MTR Nordic AB, Sweden doi:10.4203/ccc.7.10.6 Full Bibliographic Reference for this paper W.Z. Liu, K. Chen, G. Dursun, S. Kapoor, M. Berg, E. Dunkars, J. Forsberg, "Decision-Making Model of Urban Rail System for Operation Optimization and System Upgrading", in J. Pombo, (Editor), "Proceedings of the Sixth International Conference on Railway Technology: Research, Development and Maintenance", Civil-Comp Press, Edinburgh, UK, Online volume: CCC 7, Paper 10.6, 2024, doi:10.4203/ccc.7.10.6 Keywords: urban rail transport, energy saving, capacity increasing, decision-making, operation optimization, system upgrading. Abstract Urban rail transport is an efficient and environmentally friendly transport solution. However, there are many challenges due to weak power supply and high capacity demand. To reduce energy consumption, minimize operational costs and increase transport capacity, there are many possible solutions to achieve these goals. It is needed to make a smart and cost-effective plan for efficiently using infrastructure as well as saving energy. This paper proposes a decision-making model to demonstrate the effectiveness of different technical solutions and quantify their costs and benefits on the energy and capacity aspects for comparison. Based on the model, two case studies on the Stockholm commuter trains and metro trains with several technical solutions as examples are analyzed. The model is supposed to provide a key reference for decision-makers to set up a smart and cost-effective management plan for efficiently using infrastructure as well as saving energy. download the full-text of this paper (PDF, 8 pages, 944 Kb) go to the previous paper go to the next paper return to the table of contents return to the volume description
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