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Cyber-Physical Control of Road Freight Transport
KTH, School of Electrical Engineering (EES), Automatic Control. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0001-5194-3306
KTH, School of Electrical Engineering (EES), Automatic Control. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0002-7177-0702
KTH, School of Electrical Engineering (EES), Automatic Control. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0003-3248-0187
KTH, School of Electrical Engineering (EES), Automatic Control. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre. Scania CV AB, Sweden.ORCID iD: 0000-0001-5107-2942
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2016 (English)In: Proceedings of the IEEE, ISSN 0018-9219, E-ISSN 1558-2256, Vol. 104, no 5, 1128-1141 p., 7437386Article in journal (Refereed) PublishedText
Abstract [en]

Freight transportation is of outmost importance in our society and is continuously increasing. At the same time, transporting goods on roads accounts for about 26% of the total energy consumption and 18% of all greenhouse gas emissions in the European Union. Despite the influence the transportation system has on our energy consumption and the environment, road transportation is mainly done by individual long-haulage trucks with no real-time coordination or global optimization. In this paper, we review how modern information and communication technology supports a cyber-physical transportation system architecture with an integrated logistic system coordinating fleets of trucks traveling together in vehicle platoons. From the reduced air drag, platooning trucks traveling close together can save about 10% of their fuel consumption. Utilizing road grade information and vehicle-to-vehicle communication, a safe and fuel-optimized cooperative look-ahead control strategy is implemented on top of the existing cruise controller. By optimizing the interaction between vehicles and platoons of vehicles, it is shown that significant improvements can be achieved. An integrated transport planning and vehicle routing in the fleet management system allows both small and large fleet owners to benefit from the collaboration. A realistic case study with 200 heavy-duty vehicles performing transportation tasks in Sweden is described. Simulations show overall fuel savings at more than 5% thanks to coordinated platoon planning. It is also illustrated how well the proposed cooperative look-ahead controller for heavy-duty vehicle platoons manages to optimize the velocity profiles of the vehicles over a hilly segment of the considered road network.

Place, publisher, year, edition, pages
IEEE , 2016. Vol. 104, no 5, 1128-1141 p., 7437386
Keyword [en]
automated highways, Automotive engineering, intelligent transportation systems, intelligent vehicles, networked control systems, vehicular communication, Automobiles, Controllers, Cooperative communication, Cruise control, Energy utilization, Fleet operations, Fuel economy, Fuels, Gas emissions, Global optimization, Greenhouse gases, Motor transportation, Numerical control systems, Roads and streets, Traffic control, Transportation, Trucks, Vehicle to vehicle communications, Vehicles, Fleet management system, Information and Communication Technologies, Integrated transport, Physical transportation, Real time coordination, Road freight transport, Total energy consumption, Transportation system, Freight transportation
National Category
Transport Systems and Logistics
Identifiers
URN: urn:nbn:se:kth:diva-186985DOI: 10.1109/JPROC.2015.2511446ISI: 000374864600019ScopusID: 2-s2.0-84961572731OAI: oai:DiVA.org:kth-186985DiVA: diva2:928791
Funder
Swedish Research CouncilEU, FP7, Seventh Framework ProgrammeVINNOVAKnut and Alice Wallenberg Foundation
Note

QC 20160516

Available from: 2016-05-16 Created: 2016-05-16 Last updated: 2016-05-30Bibliographically approved

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Besselink, BartTurri, ValerioVan De Hoef, Sebastian HendrikLiang, Kuo-YunMårtensson, JonasJohansson, Karl Henrik
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Automatic ControlACCESS Linnaeus Centre
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Proceedings of the IEEE
Transport Systems and Logistics

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