alphanumeric journal
The Journal of Operations Research, Statistics, Econometrics and Management Information Systems
Time Series Prediction with Digital Twins in Public Transportation Systems
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Abstract
Classical traffic and transportation control centers must be more robust with the rapid spread of electric, intelligent, autonomous, and software-defined vehicles. Existing traffic management strategies have significant drawbacks in public safety, predictive maintenance, tuning the core functionality of vehicles, and managing mobility. We can renovate this system with next-generation intelligent Digital Twin (DT) technologies. This research proposes a time-series prediction system through Digital Twins to manage the public transportation system with Facebook’s Prophet. This study presents a model framework to build a Digital Twin application in Intelligent Public Transportation Systems and uses a public data set to validate the model with Facebook’s Prophet library by forecasting metro line passenger flows. According to the results, the Mean Absolute Percentage Error (MAPE) is 0.017 for a 1-day horizon.
Keywords: Digital Twin, Intelligent Transportation Systems, IoT, Time Series Prediction
Jel Classification: C46
Suggested citation
(). Time Series Prediction with Digital Twins in Public Transportation Systems. Alphanumeric Journal, 11(2), 183-192. https://doi.org/10.17093/alphanumeric.1402897
References
- Daraghmeh, M., Agarwal, A., Manzano, R., & Zaman, M. (2021, 14-23 June 2021). Time Series Forecasting using Facebook Prophet for Cloud Resource Management. 2021 IEEE International Conference on Communications Workshops (ICC Workshops),
- Erturk, M. A., & Vollero, L. (2020, 13-17 July 2020). GSP for Virtual Sensors in eHealth Applications. 2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC),
- Fahim, M., Sharma, V., Cao, T. V., Canberk, B., & Duong, T. Q. (2022). Machine Learning-Based Digital Twin for Predictive Modeling in Wind Turbines. IEEE Access, 10, 14184-14194. https://doi.org/10.1109/ACCESS.2022.3147602
- Ivanov, S., Nikolskaya, K., Radchenko, G., Sokolinsky, L., & Zymbler, M. (2020, 17-19 Nov. 2020). Digital Twin of City: Concept Overview. 2020 Global Smart Industry Conference (GloSIC),
- Jalali, S. M. J., Ahmadian, S., Kavousi-Fard, A., Khosravi, A., & Nahavandi, S. (2022). Automated Deep CNN-LSTM Architecture Design for Solar Irradiance Forecasting. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 52(1), 54-65. https://doi.org/10.1109/TSMC.2021.3093519
- Jha, B. K., & Pande, S. (2021, 8-10 April 2021). Time Series Forecasting Model for Supermarket Sales using FB-Prophet. 2021 5th International Conference on Computing Methodologies and Communication (ICCMC),
- Liao, S., Wu, J., Bashir, A. K., Yang, W., Li, J., & Tariq, U. (2022). Digital Twin Consensus for Blockchain-Enabled Intelligent Transportation Systems in Smart Cities. IEEE Transactions on Intelligent Transportation Systems, 23(11), 22619-22629. https://doi.org/10.1109/TITS.2021.3134002
- Oeschger, G., Carroll, P., & Caulfield, B. (2020). Micromobility and public transport integration: The current state of knowledge. Transportation Research Part D: Transport and Environment, 89, 102628. https://doi.org/https://doi.org/10.1016/j.trd.2020.102628
- Sabatini, A., & Vollero, L. (2022, 27 June-1 July 2022). Graph Signal Processing for IoT Sensor Networks. 2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC),
- Taylor Sj, L. B. (2017). Forecasting at scale. PeerJ Preprints 5:e3190v2. https://doi.org/10.7287/peerj.preprints.3190v2
- Toharudin, T., Pontoh, R. S., Caraka, R. E., Zahroh, S., Lee, Y., & Chen, R. C. (2023). Employing long short-term memory and Facebook prophet model in air temperature forecasting. Communications in Statistics - Simulation and Computation, 52(2), 279-290. https://doi.org/10.1080/03610918.2020.1854302
- Tzachor, A., Sabri, S., Richards, C. E., Rajabifard, A., & Acuto, M. (2022). Potential and limitations of digital twins to achieve the Sustainable Development Goals. Nature Sustainability, 5(10), 822-829. https://doi.org/10.1038/s41893-022-00923-7
- Wang, Z., Gupta, R., Han, K., Wang, H., Ganlath, A., Ammar, N., & Tiwari, P. (2022). Mobility Digital Twin: Concept, Architecture, Case Study, and Future Challenges. IEEE Internet of Things Journal, 9(18), 17452-17467. https://doi.org/10.1109/JIOT.2022.3156028
2023.11.02.MIS.02
alphanumeric journal
Pages 183-192
Received: Dec. 10, 2023
Accepted: Dec. 31, 2023
Published: Dec. 31, 2023
2023 Ertürk, MA.
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