Tackling the crowdsourced shared-trip delivery problem at scale with a novel decomposition heuristic-Reference-Cited by-同舟云学术

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Tackling the crowdsourced shared-trip delivery problem at scale with a novel decomposition heuristic

Published:2024-08 Issue: Volume:188 Page:103633
ISSN:1366-5545
Container-title:Transportation Research Part E: Logistics and Transportation Review
language:en
Short-container-title:Transportation Research Part E: Logistics and Transportation Review

Author:

Yang Dingtong^ORCID,Hyland Michael F.^ORCID,Jayakrishnan R.

Publisher

Elsevier BV

Reference84 articles.

1. Deep reinforcement learning for crowdsourced urban delivery;Ahamed;Transp. Res. B Methodol.,2021

2. Building a collaborative solution in dense urban city settings to enhance parcel delivery: An effective crowd model in Paris;Akeb;Transp. Res. Part E: Log. Transp. Rev.,2018

3. Crowdsourced delivery: A review of platforms and academic literature;Alnaggar;Omega,2021

4. Amazon. (2021). Amazon Logistics. https://logistics.amazon.com/.

5. The vehicle routing problem with occasional drivers;Archetti;Eur. J. Oper. Res.,2016

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