Modeling the Impact of Vehicle Platooning on Highway Congestion
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...
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Association for Computing Machinery
2018
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Online Access: | http://hdl.handle.net/1721.1/117225 https://orcid.org/0000-0003-1554-015X https://orcid.org/0000-0002-5282-2327 |
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author | Jin, Li Čičič, Mladen Amin, Saurabh Johansson, Karl H. |
author2 | Massachusetts Institute of Technology. Department of Civil and Environmental Engineering |
author_facet | Massachusetts Institute of Technology. Department of Civil and Environmental Engineering Jin, Li Čičič, Mladen Amin, Saurabh Johansson, Karl H. |
author_sort | Jin, Li |
collection | MIT |
description | 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. |
first_indexed | 2024-09-23T13:49:55Z |
format | Article |
id | mit-1721.1/117225 |
institution | Massachusetts Institute of Technology |
last_indexed | 2024-09-23T13:49:55Z |
publishDate | 2018 |
publisher | Association for Computing Machinery |
record_format | dspace |
spelling | mit-1721.1/1172252022-10-01T17:25:07Z Modeling the Impact of Vehicle Platooning on Highway Congestion Jin, Li Čičič, Mladen Amin, Saurabh Johansson, Karl H. Massachusetts Institute of Technology. Department of Civil and Environmental Engineering Amin, Saurabh Jin, Li 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. National Science Foundation (U.S.) (CAREER Award CNS-1453126) National Science Foundation (U.S.) (CNS-1239054) Singapore. National Research Foundation Horizon 2020 Framework Programme (European Commission) (Marie Sklodowska-Curie Grant 674875) VINNOVA (Contract 2014- 06200) Swedish Research Council Knut and Alice Wallenberg Foundation Swedish Foundation for Strategic Research 2018-08-01T14:10:46Z 2018-08-01T14:10:46Z 2018-04 2018-07-26T13:10:33Z Article http://purl.org/eprint/type/ConferencePaper 978-1-4503-5642-8 http://hdl.handle.net/1721.1/117225 Jin, Li, et al. "Modeling the Impact of Vehicle Platooning on Highway Congestion: A Fluid Queuing Approach." Proceedings of the 21st International Conference on Hybrid Systems: Computation and Control (part of CPS Week) - HSCC '18, 11-13 April, 2018, Porto, Portugal, ACM Press, 2018, pp. 237–46. https://orcid.org/0000-0003-1554-015X https://orcid.org/0000-0002-5282-2327 http://dx.doi.org/10.1145/3178126.3178146 Proceedings of the 21st International Conference on Hybrid Systems: Computation and Control (part of CPS Week) - HSCC '18 Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Association for Computing Machinery Other repository |
spellingShingle | Jin, Li Čičič, Mladen Amin, Saurabh Johansson, Karl H. Modeling the Impact of Vehicle Platooning on Highway Congestion |
title | Modeling the Impact of Vehicle Platooning on Highway Congestion |
title_full | Modeling the Impact of Vehicle Platooning on Highway Congestion |
title_fullStr | Modeling the Impact of Vehicle Platooning on Highway Congestion |
title_full_unstemmed | Modeling the Impact of Vehicle Platooning on Highway Congestion |
title_short | Modeling the Impact of Vehicle Platooning on Highway Congestion |
title_sort | modeling the impact of vehicle platooning on highway congestion |
url | http://hdl.handle.net/1721.1/117225 https://orcid.org/0000-0003-1554-015X https://orcid.org/0000-0002-5282-2327 |
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