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05/14/2021
Multi-Tier Adaptive Memory Programming and Cluster- and Job-based Relocation for Distributed On-demand Crowdshipping
With rapid e-commerce growth, on-demand urban delivery is having a high ...
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01/11/2021
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...
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11/29/2020
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...
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10/13/2020
Deep Reinforcement Learning and Transportation Research: A Comprehensive Review
Deep reinforcement learning (DRL) is an emerging methodology that is tra...
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01/21/2020