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 language | English |
|---|---|
| Pages (from-to) | 97-102 |
| Number of pages | 6 |
| Journal | IFAC-PapersOnLine |
| Volume | 59 |
| Issue number | 5 |
| DOIs | |
| Publication status | Published - 6 Aug 2025 |
| Event | 11th 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)
-
SDG 7 Affordable and Clean Energy
Keywords
- Connected
- autonomous vehicles
- intersection
- multi-intersection networks
- platooning
- trajectory optimisation
- turning traffic
Fingerprint
Dive into the research topics of 'Efficient Autonomous Intersection Access Control with Turning Traffic'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver