An Optimization-Based Dynamic Reordering Heuristic for Coordination of Vehicles in Mixed Traffic Intersections
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| Title: | An Optimization-Based Dynamic Reordering Heuristic for Coordination of Vehicles in Mixed Traffic Intersections |
|---|---|
| Authors: | Faris, Muhammad, 1991, Zanon, Mario, 1985, Falcone, Paolo, 1977 |
| Source: | IEEE Transactions on Control Systems Technology. 33(4):1387-1402 |
| Subject Terms: | mixed traffic, Autonomous vehicles (AVs), heuristic, vehicle coordination |
| Description: | In this article, we address a coordination problem for connected and autonomous vehicles (CAVs) in mixed traffic settings with human-driven vehicles (HDVs). The main objective is to have a safe and optimal crossing order for vehicles approaching unsignalized intersections. This problem results in a mixed-integer quadratic programming (MIQP) formulation, which is unsuitable for real-time applications. Therefore, we propose a computationally tractable optimization-based heuristic that monitors platoons of CAVs and HDVs to evaluate whether alternative crossing orders can perform better. It first checks the future constraint violation that consistently occurs between pairs of platoons to determine a potential swap. Next, the costs of quadratic programming (QP) formulations associated with the current and alternative orders are compared in a depth-first branching fashion. In simulations, we show that our heuristic can be a hundred times faster than the original and simplified MIQPs (SMIQPs) and yields solutions that are close to optimal and have better order consistency. |
| File Description: | electronic |
| Access URL: | https://research.chalmers.se/publication/544466 https://research.chalmers.se/publication/544466/file/544466_Fulltext.pdf |
| Database: | SwePub |
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| Items | – Name: Title Label: Title Group: Ti Data: An Optimization-Based Dynamic Reordering Heuristic for Coordination of Vehicles in Mixed Traffic Intersections – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Faris%2C+Muhammad%22">Faris, Muhammad</searchLink>, 1991<br /><searchLink fieldCode="AR" term="%22Zanon%2C+Mario%22">Zanon, Mario</searchLink>, 1985<br /><searchLink fieldCode="AR" term="%22Falcone%2C+Paolo%22">Falcone, Paolo</searchLink>, 1977 – Name: TitleSource Label: Source Group: Src Data: <i>IEEE Transactions on Control Systems Technology</i>. 33(4):1387-1402 – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22mixed+traffic%22">mixed traffic</searchLink><br /><searchLink fieldCode="DE" term="%22Autonomous+vehicles+%28AVs%29%22">Autonomous vehicles (AVs)</searchLink><br /><searchLink fieldCode="DE" term="%22heuristic%22">heuristic</searchLink><br /><searchLink fieldCode="DE" term="%22vehicle+coordination%22">vehicle coordination</searchLink> – Name: Abstract Label: Description Group: Ab Data: In this article, we address a coordination problem for connected and autonomous vehicles (CAVs) in mixed traffic settings with human-driven vehicles (HDVs). The main objective is to have a safe and optimal crossing order for vehicles approaching unsignalized intersections. This problem results in a mixed-integer quadratic programming (MIQP) formulation, which is unsuitable for real-time applications. Therefore, we propose a computationally tractable optimization-based heuristic that monitors platoons of CAVs and HDVs to evaluate whether alternative crossing orders can perform better. It first checks the future constraint violation that consistently occurs between pairs of platoons to determine a potential swap. Next, the costs of quadratic programming (QP) formulations associated with the current and alternative orders are compared in a depth-first branching fashion. In simulations, we show that our heuristic can be a hundred times faster than the original and simplified MIQPs (SMIQPs) and yields solutions that are close to optimal and have better order consistency. – Name: Format Label: File Description Group: SrcInfo Data: electronic – Name: URL Label: Access URL Group: URL Data: <link linkTarget="URL" linkTerm="https://research.chalmers.se/publication/544466" linkWindow="_blank">https://research.chalmers.se/publication/544466</link><br /><link linkTarget="URL" linkTerm="https://research.chalmers.se/publication/544466/file/544466_Fulltext.pdf" linkWindow="_blank">https://research.chalmers.se/publication/544466/file/544466_Fulltext.pdf</link> |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1109/TCST.2024.3508542 Languages: – Text: English PhysicalDescription: Pagination: PageCount: 16 StartPage: 1387 Subjects: – SubjectFull: mixed traffic Type: general – SubjectFull: Autonomous vehicles (AVs) Type: general – SubjectFull: heuristic Type: general – SubjectFull: vehicle coordination Type: general Titles: – TitleFull: An Optimization-Based Dynamic Reordering Heuristic for Coordination of Vehicles in Mixed Traffic Intersections Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Faris, Muhammad – PersonEntity: Name: NameFull: Zanon, Mario – PersonEntity: Name: NameFull: Falcone, Paolo IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 10636536 – Type: issn-print Value: 15580865 – Type: issn-locals Value: SWEPUB_FREE – Type: issn-locals Value: CTH_SWEPUB Numbering: – Type: volume Value: 33 – Type: issue Value: 4 Titles: – TitleFull: IEEE Transactions on Control Systems Technology Type: main |
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