Predicting drivers’ route trajectories in last-mile delivery using a pair-wise attention-based pointer neural network

Predicting drivers’ route trajectories in last-mile delivery using a pair-wise attention-based pointer neural network

In last-mile delivery, drivers frequently deviate from planned delivery routes because of their tacit knowledge of the road and curbside infrastructure, customer availability, and other characteristics of the respective service areas. Hence, the actual stop sequences chosen by an experienced human d...

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Bibliographic Details
Main Authors: Mo, Baichuan, Wang, Qingyi, Guo, Xiaotong, Winkenbach, Matthias, Zhao, Jinhua
Other Authors: Massachusetts Institute of Technology. Department of Civil and Environmental Engineering
Format: Article
Language:English
Published: Elsevier BV 2024
Online Access:https://hdl.handle.net/1721.1/156448

Internet

https://hdl.handle.net/1721.1/156448

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