Abstract
Optimized urban logistics is an important issue for rapidly growing cities worldwide. Many criteria can be optimized in order to improve the performance of urban logistics. Economic and time dependent criteria are central but not the only ones; lately, sustainable criteria are becoming key and urgent due to new regulations and environmental concern of governments and the society. In this work we review the state of the art of intelligent developments and techniques that might aid to build smart and optimized urban logistic applications. Moreover, we propose a prototype platform conceived as a supporting and facilitating layer for the growing business of last mile delivery (LMD) companies that operate in cities in an isolated way. Our vision is to provide a cooperative intelligent platform that provides coordination and collaboration services for the LMD companies of urban areas.
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Alibaba is opening a trade hub in Belgium in partnership with the government, and JD.com is opening a hub in France. Both companies are targeting European merchants that want to sell into the Chinese market.
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Acknowledgement
This research is supported by research project TIN2015-65515-C4-1-R from the Spanish government.
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Giret, A., Julián, V., Botti, V. (2020). An Intelligent Platform for Supporting Optimized Collaborative Urban Logistics. In: Borangiu, T., Trentesaux, D., Leitão, P., Giret Boggino, A., Botti, V. (eds) Service Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future. SOHOMA 2019. Studies in Computational Intelligence, vol 853. Springer, Cham. https://doi.org/10.1007/978-3-030-27477-1_1
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