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Modeling Household Online Shopping Demand in the U.S.: A Machine Learning Approach and Comparative Investigation between 2009 and 2017
Despite the rapid growth of online shopping and research interest in the...
01/11/2021 ∙ by Limon Barua, et al. ∙
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Deep Reinforcement Learning for Crowdsourced Urban Delivery: System States Characterization, Heuristics-guided Action Choice, and Rule-Interposing Integration
This paper investigates the problem of assigning shipping requests to ad...
11/29/2020 ∙ by Tanvir Ahamed, et al. ∙
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Deep Reinforcement Learning and Transportation Research: A Comprehensive Review
Deep reinforcement learning (DRL) is an emerging methodology that is tra...
10/13/2020 ∙ by Nahid Parvez Farazi, et al. ∙
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How Fast You Can Actually Fly: A Comparative Investigation of Flight Airborne Time in China and the U.S
Actual airborne time (AAT) is the time between wheels-off and wheels-on ...
01/21/2020 ∙ by Ke Liu, et al. ∙
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