2021 IEEE International Intelligent Transportation Systems Conference (ITSC) 2021
DOI: 10.1109/itsc48978.2021.9565048
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Real-Time Cross-Fleet Pareto-Improving Truck Platoon Coordination

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Cited by 6 publications
(2 citation statements)
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“…In the agent-based approaches, the trucks are required to share their arrival schedules at hubs with each other. In [21], the authors studied platoon formation at multiple hubs when the decision-making of which platoons should form was distributed on coordinators at the hubs. In the above-mentioned work, the trucks are required to share their arrival schedules with the coordinators at the hubs.…”
Section: B Related Workmentioning
confidence: 99%
“…In the agent-based approaches, the trucks are required to share their arrival schedules at hubs with each other. In [21], the authors studied platoon formation at multiple hubs when the decision-making of which platoons should form was distributed on coordinators at the hubs. In the above-mentioned work, the trucks are required to share their arrival schedules with the coordinators at the hubs.…”
Section: B Related Workmentioning
confidence: 99%
“…This kind of method suffers from the inefficiency in seeking an equilibrium solution to the problem by iterations among trucks. In [29], the authors propose a Pareto-improving multi-fleet platoon coordination solution, where the fleet owners leave the coordination to local coordinators at hubs and each fleet owner is better off in the multi-fleet solution than by performing single-fleet platoon coordination. In [30], a three-layered approach for controlling individual vehicles is proposed, where the fleet management layer focuses on transport planning and routing while the cooperation layer deals with platoon coordination.…”
Section: Introductionmentioning
confidence: 99%