Digital Twin Concept in Last Mile Delivery and Passenger Transport (A Systematic Literature Review)
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-24771-2_12
Reference27 articles.
1. Gutierrez-Franco, E., Mejia-Argueta, C., Rabelo, L.: Data-driven methodology to support long-lasting logistics and decision making for urban last-mile operations. Sustainability 13(11), 6230 (2021). https://doi.org/10.3390/su13116230
2. Moshood, T.D., Nawanir, G., Sorooshian, S., Okfalisa, O.: Digital twins driven supply chain visibility within logistics: a new paradigm for future logistics. Appl. Syst. Innov. 4(2), 29 (2021). https://doi.org/10.3390/asi4020029
3. Marcucci, E., Gatta, V., Le Pira, M., Hansson, L., Bråthen, S.: Digital twins: a critical discussion on their potential for supporting policy-making and planning in urban logistics. Sustainability 12(24), 10623 (2020). https://doi.org/10.3390/su122410623
4. Thejaswini, R.S.S.S., Rajaraajeswari, S.: A real-time traffic congestion-avoidance framework for smarter cities. In AIP Conf. Proc. 2039, 020009 (2018). https://doi.org/10.1063/1.5078968
5. Pan, S., Zhou, W., Piramuthu, S., Giannikas, V., Chen, C.: Smart city for sustainable urban freight logistics. Int. J. Prod. Res. 59(7), 2079–2089 (2021). https://doi.org/10.1080/00207543.2021.1893970
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