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...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier BV
2024
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| Online Access: | https://hdl.handle.net/1721.1/156448 |