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A predictive framework for dynamic heavy-duty vehicle platoon coordination
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Decision and Control Systems (Automatic Control).ORCID iD: 0000-0003-3248-0187
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Decision and Control Systems (Automatic Control).ORCID iD: 0000-0002-3672-5316
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Decision and Control Systems (Automatic Control).ORCID iD: 0000-0001-7309-8086
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Decision and Control Systems (Automatic Control).ORCID iD: 0000-0001-9940-5929
2019 (English)In: ACM Transactions on Cyber-Physical Systems, ISSN 2378-962X, Vol. 4, no 1, article id A5Article in journal (Refereed) Published
Abstract [en]

This article describes a system to facilitate dynamic en route formation of heavy-duty vehicle platoons with the goal of reducing fuel consumption. Safe vehicle platooning is a maturing technology that leverages modern sensor, control, and communication technology to automatically regulate the inter-vehicle distances. Truck platooning has been shown to reduce fuel consumption through slipstreaming by up to 10% under realistic highway-driving conditions. To further benefit from this technology, a platoon coordinator is proposed, which interfaces with fleet management systems and suggests how platoons can be formed in a fuel-efficient manner over a large region. The coordinator frequently updates the plans to react to newly available information. This way, it requires a minimum of customization with respect to the logistic operations.We discuss the system architecture in detail and introduce important underlying methodological foundations. Plans are derived in computationally tractable stages optimizing fuel savings from platooning. The effectiveness of this approach is verified in a simulation study. It shows that the coordinated platooning system can improve over spontaneously occurring platooning even under the presence of disturbances. A real demonstrator has also been developed. We present data from an experiment in which three vehicles were coordinated to form a platoon on public highways under normal traffic conditions. It demonstrates the feasibility of coordinated en route platoon formation with current communication and on-board technology. Simulations and experiments support that the proposed system is technically feasible and a potential solution to the problem of using vehicle platooning in an operational context.

Place, publisher, year, edition, pages
Association for Computing Machinery , 2019. Vol. 4, no 1, article id A5
Keywords [en]
Cooperative adaptive cruise control, Platooning, Road freight transport, Adaptive cruise control, Fleet operations, Freight transportation, Fuel economy, Fuels, Communication technologies, Driving conditions, Fleet management system, Heavy duty vehicles, System architectures, Vehicle to vehicle communications
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:kth:diva-268046DOI: 10.1145/3299110ISI: 000564015600004Scopus ID: 2-s2.0-85074896008OAI: oai:DiVA.org:kth-268046DiVA, id: diva2:1417178
Note

QC 20200326

Available from: 2020-03-26 Created: 2020-03-26 Last updated: 2022-06-26Bibliographically approved

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van de Hoef, SebastianMårtensson, JonasDimarogonas, Dimos V.Johansson, Karl H.

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