Digital Twins Learning Paths

"The vision of the Digital Twin itself refers to a comprehensive physical and functional description of a component, product or system, which includes more or less all information which could be useful in all—the current and subsequent—lifecycle phases." - Boschert, S., & Rosen, R. (2016) at Digital Twin—The Simulation Aspect. In Mechatronic Futures. 

• Boschert, S., & Rosen, R. (2016). Digital Twin—The Simulation Aspect. In Mechatronic Futures (pp. 59–74). Springer International Publishing. https://doi.org/10.1007/978-3-319-32156-1_5

• Fuller, A., Fan, Z., Day, C., & Barlow, C. (2020). Digital Twin: Enabling Technologies, Challenges and Open Research. IEEE Access, 8, 108952–108971. https://doi.org/10.1109/ACCESS.2020.2998358

• Haag, S., & Anderl, R. (2018). Digital twin – Proof of concept. Manufacturing Letters, 15, 64–66. https://doi.org/10.1016/j.mfglet.2018.02.006

• Singh, M., Fuenmayor, E., Hinchy, E., Qiao, Y., Murray, N., & Devine, D. (2021). Digital Twin: Origin to Future. Applied System Innovation, 4(2), 36. https://doi.org/10.3390/asi4020036

1. Barricelli, B. R., Casiraghi, E., & Fogli, D. (2019). A survey on digital twin: Definitions, characteristics, applications, and design implications. In IEEE Access (Vol. 7). Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/ACCESS.2019.2953499
2. Böhm, F., Dietz, M., Preindl, T., & Pernul, G. (2021). Augmented Reality and the Digital Twin: State-of-the-Art and Perspectives for Cybersecurity. Journal of Cybersecurity and Privacy, 1(3), 519–538. https://doi.org/10.3390/jcp1030026
3. Deng, T., Zhang, K., & Shen, Z. J. (Max). (2021). A systematic review of a digital twin city: A new pattern of urban governance toward smart cities. Journal of Management Science and Engineering, 6(2), 125–134. https://doi.org/10.1016/j.jmse.2021.03.003
4. Hartmann, D., & van der Auweraer, H. (2020). Digital Twins. http://arxiv.org/abs/2001.09747
5. Ketzler, B., Naserentin, V., Latino, F., Zangelidis, C., Thuvander, L., & Logg, A. (2020). Digital Twins for Cities: A State of the Art Review. Built Environment, 46(4), 547–573. https://doi.org/10.2148/BENV.46.4.547
6. Mashaly, M. (2021). Connecting the twins: A review on digital twin technology & its networking requirements. Procedia Computer Science, 184, 299–305. https://doi.org/10.1016/j.procs.2021.03.039
7. Melesse, T. Y., di Pasquale, V., & Riemma, S. (2021). Digital Twin models in industrial operations: State-of-the-art and future research directions. In IET Collaborative Intelligent Manufacturing (Vol. 3, Issue 1, pp. 37–47). John Wiley and Sons Inc. https://doi.org/10.1049/cim2.12010
8. Mylonas, G., Kalogeras, A., Kalogeras, G., Anagnostopoulos, C., Alexakos, C., & Munoz, L. (2021). Digital Twins from Smart Manufacturing to Smart Cities: A Survey. In IEEE Access (Vol. 9, pp. 143222–143249). Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/ACCESS.2021.3120843
9. Nochta, T., Wan, L., Schooling, J. M., & Parlikad, A. K. (2021). A Socio-Technical Perspective on Urban Analytics: The Case of City-Scale Digital Twins. Journal of Urban Technology, 28(1–2), 263–287. https://doi.org/10.1080/10630732.2020.1798177
10. Papyshev, G., & Yarime, M. (2021). Exploring city digital twins as policy tools: A task-based approach to generating synthetic data on urban mobility. Data & Policy, 3. https://doi.org/10.1017/dap.2021.17
11. Rafsanjani, H. N., & Nabizadeh, A. H. (2021). Towards digital architecture, engineering, and construction (AEC) industry through virtual design and construction (VDC) and digital twin. Energy and Built Environment. https://doi.org/10.1016/j.enbenv.2021.10.004
12. Ruohomaki, T., Airaksinen, E., Huuska, P., Kesaniemi, O., Martikka, M., & Suomisto, J. (2018). Smart City Platform Enabling Digital Twin. 9th International Conference on Intelligent Systems 2018: Theory, Research and Innovation in Applications, IS 2018 - Proceedings, 155–161. https://doi.org/10.1109/IS.2018.8710517
13. Sepasgozar, S. M. E. (2021). Differentiating digital twin from digital shadow: Elucidating a paradigm shift to expedite a smart, sustainable built environment. In Buildings (Vol. 11, Issue 4). MDPI AG. https://doi.org/10.3390/buildings11040151
14. Shahat, E., Hyun, C. T., & Yeom, C. (2021). City digital twin potentials: A review and research agenda. In Sustainability (Switzerland) (Vol. 13, Issue 6). MDPI AG. https://doi.org/10.3390/su13063386
15. Shahzad, M., Shafiq, M. T., Douglas, D., & Kassem, M. (2022). Digital Twins in Built Environments: An Investigation of the Characteristics, Applications, and Challenges. Buildings, 12(2). 0https://doi.org/10.3390/buildings12020120

1. Alexandru, M., Dragoș, C., & Bălă-Constantin, Z. (2022). Digital Twin for automated guided vehicles fleet management. Procedia Computer Science, 199, 1363–1369. https://doi.org/10.1016/j.procs.2022.01.172
2. Charitonidou, M. (2022). Urban scale digital twins in data-driven society: Challenging digital universalism in urban planning decision-making. International Journal of Architectural Computing. https://doi.org/10.1177/14780771211070005
3. Dembski, F., Wössner, U., Letzgus, M., Ruddat, M., & Yamu, C. (2020). Urban digital twins for smart cities and citizens: The case study of herrenberg, germany. Sustainability (Switzerland), 12(6). https://doi.org/10.3390/su12062307
4. Fan, C., Zhang, C., Yahja, A., & Mostafavi, A. (2019). Disaster City Digital Twin: A Vision for Integrating Artificial and Human Intelligence for Disaster Management.
5. Ford, D. N., & Wolf, C. M. (2020). Smart Cities with Digital Twin Systems for Disaster Management. Journal of Management in Engineering, 36(4), 04020027. https://doi.org/10.1061/(asce)me.1943-5479.0000779
6. Maher, C., & Clarke, S. (2020). Using Digital Twin Cities to Investigate Older Walkability in Dublin. http://tcd-ie.libguides.com/plagiarism/ready-steady-write.
7. Mavrokapnidis, D., Mohammadi, N., & Taylor, J. E. (2021). Community dynamics in smart city digital twins: A computer vision-based approach for monitoring and forecasting collective urban hazard exposure. Proceedings of the Annual Hawaii International Conference on System Sciences, 2020-January, 1810–1818. https://doi.org/10.24251/hicss.2021.220
8. Mierlo, J. van, Berecibar, M., Baghdadi, M. el, de Cauwer, C., Messagie, M., Coosemans, T., Jacobs, V. A., & Hegazy, O. (2021). Beyond the state of the art of electric vehicles: A fact-based paper of the current and prospective electric vehicle technologies. In World Electric Vehicle Journal (Vol. 12, Issue 1, pp. 1–26). MDPI AG. https://doi.org/10.3390/wevj12010020
9. Mohammadi, N., & Taylor, J. E. (2017). Urban energy flux: Spatiotemporal fluctuations of building energy consumption and human mobility-driven prediction. Applied Energy, 195, 810–818. https://doi.org/10.1016/j.apenergy.2017.03.044
10. Nochta, T., Wan, L., Schooling, J. M., & Parlikad, A. K. (2021). A Socio-Technical Perspective on Urban Analytics: The Case of City-Scale Digital Twins. Journal of Urban Technology, 28(1–2), 263–287. https://doi.org/10.1080/10630732.2020.1798177
11. O’Dwyer, E., Pan, I., Charlesworth, R., Butler, S., & Shah, N. (2020). Integration of an energy management tool and digital twin for coordination and control of multi-vector smart energy systems. Sustainable Cities and Society, 62. https://doi.org/10.1016/j.scs.2020.102412
12. Rudskoy, A., Ilin, I., & Prokhorov, A. (2021). Digital Twins in the Intelligent Transport Systems. Transportation Research Procedia, 54, 927–935. https://doi.org/10.1016/j.trpro.2021.02.152
13. Sánchez-Vaquerizo, J. A. (2022). Getting Real: The Challenge of Building and Validating a Large-Scale Digital Twin of Barcelona’s Traffic with Empirical Data. ISPRS International Journal of Geo-Information, 11(1). https://doi.org/10.3390/ijgi11010024
14. Schrotter, G., & Hürzeler, C. (2020). The Digital Twin of the City of Zurich for Urban Planning. PFG - Journal of Photogrammetry, Remote Sensing and Geoinformation Science, 88(1), 99–112. https://doi.org/10.1007/s41064-020-00092-2
15. White, G., Zink, A., Codecá, L., & Clarke, S. (2021). A digital twin smart city for citizen feedback. Cities, 110. https://doi.org/10.1016/j.cities.2020.103064
16. Zhang, T., Liu, X., Luo, Z., Dong, F., & Jiang, Y. (2019). Time series behavior modeling with digital twin for Internet of Vehicles. Eurasip Journal on Wireless Communications and Networking, 2019(1). https://doi.org/10.1186/s13638-019-1589-8

1. Anda, C., Ordonez Medina, S. A., & Axhausen, K. W. (2021). Synthesising digital twin travellers: Individual travel demand from aggregated mobile phone data. Transportation Research Part C: Emerging Technologies, 128. https://doi.org/10.1016/j.trc.2021.103118
2. Kaliske, M., Behnke, R., & Wollny, I. (n.d.). Vision on a Digital Twin of the Road-Tire-Vehicle System for Future Mobility. In Tire Science and Technology, TSTCA (Vol. 49, Issue 1). http://meridian.allenpress.com/tst/article-pdf/49/1/2/2825823/i1945-5852-49-1-2.pdf
3. Li, X., Liu, H., Wang, W., Zheng, Y., Lv, H., & Lv, Z. (2022). Big data analysis of the Internet of Things in the digital twins of smart city based on deep learning. Future Generation Computer Systems, 128, 167–177. https://doi.org/10.1016/j.future.2021.10.006
4. Marai, O. el, Taleb, T., & Song, J. (2021). Roads Infrastructure Digital Twin: A Step Toward Smarter Cities Realization. IEEE Network, 35(2), 136–143. https://doi.org/10.1109/MNET.011.2000398
5. Mierlo, J. van, Berecibar, M., Baghdadi, M. el, de Cauwer, C., Messagie, M., Coosemans, T., Jacobs, V. A., & Hegazy, O. (2021). Beyond the state of the art of electric vehicles: A fact-based paper of the current and prospective electric vehicle technologies. In World Electric Vehicle Journal (Vol. 12, Issue 1, pp. 1–26). MDPI AG. https://doi.org/10.3390/wevj12010020
6. Shirowzhan, S., Tan, W., & Sepasgozar, S. M. E. (2020). Digital twin and CyberGIS for improving connectivity and measuring the impact of infrastructure construction planning in smart cities. In ISPRS International Journal of Geo-Information (Vol. 9, Issue 4). MDPI AG. https://doi.org/10.3390/ijgi9040240
7. Sta Ana, R. R., Escoto, J. E., Fargas, D., Panlilio, K., Jerez, M., & Sarmiento, C. J. (2021). Development of a digital twin for the monitoring of smart cities using open-source software. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, 46(4/W6-2021), 281–288. https://doi.org/10.5194/isprs-Archives-XLVI-4-W6-2021-281-2021

1. Fürst, J., Cheng, B., & Hebgen, B. (n.d.). Realizing the Digital Twin Transition for Smart Cities. http://www.ronpub.com/ojiot
2. Ketzler, B., Naserentin, V., Latino, F., Zangelidis, C., Thuvander, L., & Logg, A. (2020). Digital Twins for Cities: A State of the Art Review. Built Environment, 46(4), 547–573. https://doi.org/10.2148/BENV.46.4.547
3. Mohammadi, N., & Taylor, J. E. (2018). Smart city digital twins. 2017 IEEE Symposium Series on Computational Intelligence, SSCI 2017 - Proceedings, 2018-January, 1–5. https://doi.org/10.1109/SSCI.2017.8285439
4. Sepasgozar, S. M. E. (2021). Differentiating digital twin from digital shadow: Elucidating a paradigm shift to expedite a smart, sustainable built environment. In Buildings (Vol. 11, Issue 4). MDPI AG. https://doi.org/10.3390/buildings11040151
5. Shahat, E., Hyun, C. T., & Yeom, C. (2021). City digital twin potentials: A review and research agenda. In Sustainability (Switzerland) (Vol. 13, Issue 6). MDPI AG. https://doi.org/10.3390/su13063386
6. Shahzad, M., Shafiq, M. T., Douglas, D., & Kassem, M. (2022). Digital Twins in Built Environments: An Investigation of the Characteristics, Applications, and Challenges. Buildings, 12(2). https://doi.org/10.3390/buildings12020120