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Efficient Autonomous Intersection Access Control with Turning Traffic

Research output: Contribution to journal › Conference article › peer-review

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Abstract

Autonomous Intersection Management (AIM) is an increasingly popular paradigm, involving strategies such as platooning to reduce delays and improve efficiency overall. In this work, we propose an AIM framework that allows for turning traffic. The access control mechanism relies on an exhaustive service rule, which offers optimal performance in terms of delay. The mechanism also naturally organises vehicles into platoons simultaneously, thereby reaping platooning-related benefits. We consider two optimisation criteria for vehicle trajectories based on capacity and energy efficiency respectively. Lastly, we demonstrate that our framework readily extends to a network setting, by implementing it on a two-intersection network.
Original languageEnglish
Pages (from-to)97-102
Number of pages6
JournalIFAC-PapersOnLine
Volume59
Issue number5
DOIs
Publication statusPublished - 6 Aug 2025
Event11th IFAC Symposium on Advances in Automotive Control, AAC 2025 - Domus Dela, Eindhoven, Netherlands
Duration: 16 Jun 2025 → 18 Jun 2025
https://aac2025.tue.nl/
https://www.sciencedirect.com/journal/ifac-papersonline/vol/59/issue/5

Funding

This research was supported by the European Unions Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement no. 945045, and by the NWO Gravitation project NETWORKS under grant no. 024.002.003.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Connected
  • autonomous vehicles
  • intersection
  • multi-intersection networks
  • platooning
  • trajectory optimisation
  • turning traffic

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