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Modeling the impact of vehicle platooning on highway congestion: A fluid qeuing approach
Massachusetts Institute of Technology.
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Decision and Control Systems (Automatic Control).ORCID iD: 0000-0002-4472-6298
Massachusetts Institute of Technology.
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Decision and Control Systems (Automatic Control).ORCID iD: 0000-0001-9940-5929
2018 (English)In: HSCC 2018 - Proceedings of the 21st International Conference on Hybrid Systems: Computation and Control (part of CPS Week), Association for Computing Machinery (ACM), 2018, p. 237-246Conference paper, Published paper (Refereed)
Abstract [en]

Vehicle platooning is a promising technology that can lead to significant fuel savings and emission reduction. However, the macroscopic impact of vehicle platoons on highway traffic is not yet well understood. In this article, we propose a new fluid queuing model to study the macroscopic interaction between randomly arriving vehicle platoons and the background traffic at highway bottlenecks. This model, viewed as a stochastic switched system, is analyzed for two practically relevant priority rules: proportional (or mixed) and segmented priority. We provide intuitive stability conditions, and obtain bounds on the long-run average length and variance of queues for both priority rules. We use these results to study how platoon-induced congestion varies with the fraction of platooned vehicles, and their characteristics such as intra-platoon spacing and arrival rate. Our analysis reveals a basic tradeoff between congestion induced by the randomness of platoon arrivals, and efficiency gain due to a tighter intra-platoon spacing. This naturally leads to conditions under which the proportional priority is preferred over segmented priority. Somewhat surprisingly, our analytical results are in agreement with the simulation results based on a more sophisticated two-class cell transmission model.

Place, publisher, year, edition, pages
Association for Computing Machinery (ACM), 2018. p. 237-246
Keywords [en]
Connected and autonomous vehicles, Fluid queuing model, Smart highways, Stochastic switched systems, Vehicle platooning
National Category
Vehicle and Aerospace Engineering
Identifiers
URN: urn:nbn:se:kth:diva-238247DOI: 10.1145/3178126.3178146ISI: 000474781600026Scopus ID: 2-s2.0-85049466480ISBN: 9781450356428 (print)OAI: oai:DiVA.org:kth-238247DiVA, id: diva2:1262145
Conference
21st International Conference on Hybrid Systems: Computation and Control, HSCC 2018, Porto, Portugal, 11 April 2018 through 13 April 2018
Note

QC 20181109

Available from: 2018-11-09 Created: 2018-11-09 Last updated: 2025-02-14Bibliographically approved

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fulltext(889 kB)303 downloads
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Čičić, MladenJohansson, Karl H.

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CiteExportLink to record
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