A data-driven compensation scheme for last-mile delivery with crowdsourcing

DOI10.1016/j.cor.2022.106059OpenAlexW4308313297MaRDI QIDQ2108162

Ana Viana, João Pedro Pedroso, Miguel Barbosa

Publication date: 19 December 2022

Published in: Computers \& Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cor.2022.106059

zbMATH Keywords

crowdsourcinglogistic regression modeldynamic compensationlast-mile deliveryprobabilistic acceptancesocial engagement

Mathematics Subject Classification ID

Operations research and management science (90Bxx)

Uses Software

• TensorFlow

Cites Work

• Unnamed Item
• The vehicle routing problem with occasional drivers
• Customized multi-period stochastic assignment problem for social engagement and opportunistic IoT
• The pickup and delivery problem with time windows and occasional drivers

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