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Introduction to the special issue on machine learning methods and applications in large-scale route planning problems

Winkenbach, Matthias; Spinler, Stefan; Pachon, Julian; … - In: Transportation science 58 (2024) 1, pp. 1-7

Persistent link: https://www.econbiz.de/10014465089

2021 Amazon last mile routing research challenge : data set

Merchán, Daniel; Arora, Jatin; Pachon, Julian; … - In: Transportation science 58 (2024) 1, pp. 8-11

The 2021 Amazon Last Mile Routing Research Challenge, hosted by Amazon.com’s Last Mile Research team, and scientifically supported by the Massachusetts Institute of Technology’s Center for Transportation and Logistics, prompted participants to leverage real operational data to find new and...

Persistent link: https://www.econbiz.de/10014465101

Machine learning for data-driven last-mile delivery optimization

Özarık, Sami Serkan; Costa, Paulo da; Florio, Alexandre M. - In: Transportation science 58 (2024) 1, pp. 27-44

Persistent link: https://www.econbiz.de/10014465136

Dynamic courier capacity acquisition in rapid delivery systems : a deep Q-learning approach

Auad, Ramon; Erera, Alan; Savelsbergh, Martin W. P. - In: Transportation science 58 (2024) 1, pp. 67-93

Persistent link: https://www.econbiz.de/10014465164

Synchronized deliveries with a bike and a self-driving robot

Zhao, Yanlu; Cattaruzza, Diego; Kang, Ningxuan; … - In: Transportation science 58 (2024) 1, pp. 219-239

Persistent link: https://www.econbiz.de/10014465308

Impact of autonomous vehicle assisted last-mile delivery in urban to rural settings

Reed, Sara; Campbell, Ann Melissa; Thomas, Barrett W. - In: Transportation science 56 (2022) 6, pp. 1530-1548

Persistent link: https://www.econbiz.de/10014309410

Stochastic last-mile delivery with crowd-shipping and mobile depots

Mousavi, Kianoush; Bodur, Merve; Roorda, Matthew J. - In: Transportation science 56 (2022) 3, pp. 612-630

Persistent link: https://www.econbiz.de/10013365568

Demand steering in a last-mile delivery problem with home and pickup point delivery options

Galiullina, Albina; Mutlu, Nevin; Kinable, Joris; Van … - In: Transportation science 58 (2024) 2, pp. 454-473

Persistent link: https://www.econbiz.de/10014527152