Collaborative vehicle routing: a survey
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Abstract (arXiv)
In horizontal collaborations, carriers form coalitions in order to perform parts of their logistics operations jointly. By exchanging transportation requests among each other, they can operate more efficiently and in a more sustainable way. Collaborative vehicle routing has been extensively discussed in the literature. We identify three major streams of research: (i) centralized collaborative planning, (ii) decentralized planning without auctions, and (ii) auction-based decentralized planning. For each of them we give a structured overview on the state of knowledge and discuss future research directions.
Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). First posted on arXiv 13 Jun 2017.
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Citing papers per year: 2023: 5.
5 papers.
- 2023Milestones in Autonomous Driving and Intelligent Vehicles: Survey of Surveyscited by 75
- 2023Fair collaborative vehicle routing: A deep multi-agent reinforcement learning approachcited by 6
- 2023Coalitional Bargaining via Reinforcement Learning: An Application to Collaborative Vehicle Routingcited by 1
- 2023Using Reinforcement Learning for the Three-Dimensional Loading Capacitated Vehicle Routing Problemcited by 0
- 2023Individually Rational Collaborative Vehicle Routing through Give-And-Take Exchangescited by 0
- 2023Fair collaborative vehicle routing: A deep multi-agent reinforcement learning approach26 Oct 2023
- 2023Coalitional Bargaining via Reinforcement Learning: An Application to Collaborative Vehicle Routing26 Oct 2023
- 2023Individually Rational Collaborative Vehicle Routing through Give-And-Take Exchanges31 Aug 2023
- 2023Using Reinforcement Learning for the Three-Dimensional Loading Capacitated Vehicle Routing Problem22 Jul 2023
- 2023Milestones in Autonomous Driving and Intelligent Vehicles: Survey of Surveys30 Mar 2023