Toward Low-Cost Digital Twins for Urban Transportation Systems
This study introduces an advanced Digital Twin (DT) framework for trams, transforming public transport maintenance through intelligent analytics and real-time data monitoring. Our approach includes developing the DT concept, identifying essential tram components for monitoring, such as the drive tra...
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| Format: | Article |
| Language: | English |
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IEEE
2025-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/11062893/ |
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| author | Oskar Wysocki Michal Kuziemski Andre Freitas Michal Wasilczuk Jacek Czyzewicz |
| author_facet | Oskar Wysocki Michal Kuziemski Andre Freitas Michal Wasilczuk Jacek Czyzewicz |
| author_sort | Oskar Wysocki |
| collection | DOAJ |
| description | This study introduces an advanced Digital Twin (DT) framework for trams, transforming public transport maintenance through intelligent analytics and real-time data monitoring. Our approach includes developing the DT concept, identifying essential tram components for monitoring, such as the drive train, transmission, electric motor, inverter, suspension, and brakes, and determining the appropriate methods and metrics for their Predictive Maintenance (PM). Employing low-cost sensors coupled with advanced analytics, our system efficiently gathers accurate data and feeds it into PM models. A set of comprehensive rules is formulated to assess the tram’s maintenance status, enabling early detection of potential issues. Significantly, this system was successfully implemented on a real tram, contributing to the early detection and prevention of a major transmission failure. Beyond trams, our approach extends to assessing infrastructure like railway conditions and plays a significant role in enhancing passenger satisfaction. This application not only demonstrates the system’s practical efficacy but also underscores its role in enhancing the safety and reliability of urban tram services. |
| format | Article |
| id | doaj-art-3217813da79d4daca4526442719954e8 |
| institution | DOAJ |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-3217813da79d4daca4526442719954e82025-08-20T03:12:14ZengIEEEIEEE Access2169-35362025-01-011312027712029210.1109/ACCESS.2025.358536211062893Toward Low-Cost Digital Twins for Urban Transportation SystemsOskar Wysocki0Michal Kuziemski1https://orcid.org/0009-0005-8546-8837Andre Freitas2Michal Wasilczuk3Jacek Czyzewicz4Idiap Research Institute, Martigny, SwitzerlandFaculty of Mechanical Engineering and Ship Technology, Gdańsk University of Technology, Gdańsk, PolandIdiap Research Institute, Martigny, SwitzerlandFaculty of Mechanical Engineering and Ship Technology, Gdańsk University of Technology, Gdańsk, PolandCCVEEX Sp. z o.o., Gdańsk, PolandThis study introduces an advanced Digital Twin (DT) framework for trams, transforming public transport maintenance through intelligent analytics and real-time data monitoring. Our approach includes developing the DT concept, identifying essential tram components for monitoring, such as the drive train, transmission, electric motor, inverter, suspension, and brakes, and determining the appropriate methods and metrics for their Predictive Maintenance (PM). Employing low-cost sensors coupled with advanced analytics, our system efficiently gathers accurate data and feeds it into PM models. A set of comprehensive rules is formulated to assess the tram’s maintenance status, enabling early detection of potential issues. Significantly, this system was successfully implemented on a real tram, contributing to the early detection and prevention of a major transmission failure. Beyond trams, our approach extends to assessing infrastructure like railway conditions and plays a significant role in enhancing passenger satisfaction. This application not only demonstrates the system’s practical efficacy but also underscores its role in enhancing the safety and reliability of urban tram services.https://ieeexplore.ieee.org/document/11062893/Cost-effective sensorsdigital twinpredictive maintenancereal-time monitoringtramurban transit |
| spellingShingle | Oskar Wysocki Michal Kuziemski Andre Freitas Michal Wasilczuk Jacek Czyzewicz Toward Low-Cost Digital Twins for Urban Transportation Systems IEEE Access Cost-effective sensors digital twin predictive maintenance real-time monitoring tram urban transit |
| title | Toward Low-Cost Digital Twins for Urban Transportation Systems |
| title_full | Toward Low-Cost Digital Twins for Urban Transportation Systems |
| title_fullStr | Toward Low-Cost Digital Twins for Urban Transportation Systems |
| title_full_unstemmed | Toward Low-Cost Digital Twins for Urban Transportation Systems |
| title_short | Toward Low-Cost Digital Twins for Urban Transportation Systems |
| title_sort | toward low cost digital twins for urban transportation systems |
| topic | Cost-effective sensors digital twin predictive maintenance real-time monitoring tram urban transit |
| url | https://ieeexplore.ieee.org/document/11062893/ |
| work_keys_str_mv | AT oskarwysocki towardlowcostdigitaltwinsforurbantransportationsystems AT michalkuziemski towardlowcostdigitaltwinsforurbantransportationsystems AT andrefreitas towardlowcostdigitaltwinsforurbantransportationsystems AT michalwasilczuk towardlowcostdigitaltwinsforurbantransportationsystems AT jacekczyzewicz towardlowcostdigitaltwinsforurbantransportationsystems |