Siffels, Wies, Önür, Giray, Dabiri, Azita · Nov 10, 2026
Researchers propose coordinated intersection control for cyclists and AVs
Markdown · JSON · Original source
Authors Wies Siffels, Giray Önür and Azita Dabiri propose a hierarchical framework that coordinates traffic signal timings, AV trajectories and cyclist speed advice. AVs are connected and automated vehicles. The authors argue that existing co-optimisation frameworks overlook cyclists who share intersections with vehicles. At the upper level, the framework optimises signal timings and cyclist speed advice; at the lower level, it optimises AV trajectories and updates that advice more frequently in response to the signal plan. In simulation, compared with optimized vehicle trajectories under fixed- signal control, the framework reduced mean travel times by 13.6% for AVs and 12.3% for cyclists. Adding cyclist speed advice reduced mean cyclist waiting time by about 80% compared with the same framework without that advice. The results point to a way of coordinating intersection traffic for both modes, but the evaluation is in simulation and does not establish how the results would transfer to real intersections.
Headline and summary by Escape Meridian, prepared by Luna from the attributed source. A source check is not independent confirmation of the source’s claims.
Original source
eess.SY · Article
Source details
Original source date: Nov 10, 2026 (2026-11-10).
Date basis: Date basis not provided.
Added to Escape Meridian: 2026-11-11T22:02:36.362Z. First observed: 2026-11-11T05:04:15.904Z. Retrieved: 2026-11-11T22:00:54.772Z.
Referenced by
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Limits
The reported evaluation is in simulation; the abstract does not establish how the results transfer to real intersections. The abstract gives no breakdown of results across the multiple demand profiles and optimisation parameter settings it says were evaluated. The comparison for travel times is against optimized vehicle trajectories with fixed- signal control; the abstract does not describe other comparison baselines.
Open question
How do the reported results vary across the demand profiles and optimisation parameter settings used in the simulation?
Source-stated
The authors propose a hierarchical framework coordinating traffic signal timings, AV trajectories and cyclist speed advice.
We propose a hierarchical framework that optimises traffic signal timings, AV trajectories, and cyclist speed advice
Source-stated
The paper says existing co-optimisation frameworks overlook cyclists despite their sharing intersections with vehicles.
existing co-optimisation frameworks overlook cyclists, even though they share the same intersections.
Source-stated
In simulation, the proposed framework reduced mean travel times for AVs and cyclists relative to optimized vehicle trajectories with fixed-time signal control.
Compared with optimized vehicle trajectories with fixed-time signal control, the proposed framework reduces mean travel times by 13.6\% for AVs and 12.3\% for cyclists.
Source-stated
Adding cyclist speed advice reduced mean cyclist waiting time relative to the same framework without that advice.
Adding cyclist speed advice further reduces mean cyclist waiting time by about 80\% relative to the same framework without speed advice.
Source and contributor context
Siffels, Wies, Önür, Giray, Dabiri, Azita · Article author
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Source media
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Terms and references
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arXiv
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TIME
TIME is a news magazine publishing reporting on world affairs, business, technology and the workers behind digital services.
Editorial provenance
Version 1. Publication ID: 1ea0f659-418b-44a4-8b87-46118a816ada.
Prepared by gpt-6-luna; grounding review by gpt-6-luna.
Source check: passed by anthropic/claude-opus-5.5 on 2026-11-11T22:02:36.362Z. This checks fidelity to the source, not whether its claims are independently true.
Editorial selection: accept; reasons: material_development.
Observation: 61be23741985cbd8c5d2a55fef968dc28d371b3e8969bd5de0f0565f3eb19d3e. Source text hash: c9da19dedca58bbfd2de9ee60cb048b537728332bd54ed50d161a19bb0eb93c3.
Revision and source-check history
Version 1 · 2026-11-11T22:02:36.362Z
Researchers propose coordinated intersection control for cyclists and AVs
Authors Wies Siffels, Giray Önür and Azita Dabiri propose a hierarchical framework that coordinates traffic signal timings, AV trajectories and cyclist speed advice. AVs are connected and automated vehicles. The authors argue that existing co-optimisation frameworks overlook cyclists who share intersections with vehicles. At the upper level, the framework optimises signal timings and cyclist speed advice; at the lower level, it optimises AV trajectories and updates that advice more frequently in response to the signal plan. In simulation, compared with optimized vehicle trajectories under fixed- signal control, the framework reduced mean travel times by 13.6% for AVs and 12.3% for cyclists. Adding cyclist speed advice reduced mean cyclist waiting time by about 80% compared with the same framework without that advice. The results point to a way of coordinating intersection traffic for both modes, but the evaluation is in simulation and does not establish how the results would transfer to real intersections.
Original source
eess.SY · Article
Source details
Original source date: Nov 10, 2026 (2026-11-10).
Date basis: Date basis not provided.
Added to Escape Meridian: 2026-11-11T22:02:36.362Z. First observed: 2026-11-11T05:04:15.904Z. Retrieved: 2026-11-11T22:00:54.772Z.
Limits
The reported evaluation is in simulation; the abstract does not establish how the results transfer to real intersections. The abstract gives no breakdown of results across the multiple demand profiles and optimisation parameter settings it says were evaluated. The comparison for travel times is against optimized vehicle trajectories with fixed- signal control; the abstract does not describe other comparison baselines.
Open question
How do the reported results vary across the demand profiles and optimisation parameter settings used in the simulation?
Source-stated
The authors propose a hierarchical framework coordinating traffic signal timings, AV trajectories and cyclist speed advice.
We propose a hierarchical framework that optimises traffic signal timings, AV trajectories, and cyclist speed advice
Source-stated
The paper says existing co-optimisation frameworks overlook cyclists despite their sharing intersections with vehicles.
existing co-optimisation frameworks overlook cyclists, even though they share the same intersections.
Source-stated
In simulation, the proposed framework reduced mean travel times for AVs and cyclists relative to optimized vehicle trajectories with fixed-time signal control.
Compared with optimized vehicle trajectories with fixed-time signal control, the proposed framework reduces mean travel times by 13.6\% for AVs and 12.3\% for cyclists.
Source-stated
Adding cyclist speed advice reduced mean cyclist waiting time relative to the same framework without that advice.
Adding cyclist speed advice further reduces mean cyclist waiting time by about 80\% relative to the same framework without speed advice.
Source and contributor context
Siffels, Wies, Önür, Giray, Dabiri, Azita · Article author
These are credits stated by the source; they do not establish a profile match or authorship of every passage.
Source media
No suitable media was found by the supported page extraction.
Terms and references
Reference context selected by Escape Meridian; separate from source evidence. Entity mentions do not establish authorship, involvement or endorsement.
arXiv
arXiv is a research manuscript repository where authors share papers that may not yet have been peer reviewed.
TIME
TIME is a news magazine publishing reporting on world affairs, business, technology and the workers behind digital services.
Editorial provenance
Version 1. Publication ID: 1ea0f659-418b-44a4-8b87-46118a816ada.
Prepared by gpt-6-luna; grounding review by gpt-6-luna.
Source check: passed by anthropic/claude-opus-5.5 on 2026-11-11T22:02:36.362Z. This checks fidelity to the source, not whether its claims are independently true.
Editorial selection: accept; reasons: material_development.
Observation: 61be23741985cbd8c5d2a55fef968dc28d371b3e8969bd5de0f0565f3eb19d3e. Source text hash: c9da19dedca58bbfd2de9ee60cb048b537728332bd54ed50d161a19bb0eb93c3.
passed · 2026-11-11T22:02:36.362Z · anthropic/claude-opus-5.5
Publication: 1ea0f659-418b-44a4-8b87-46118a816ada
attribution — pass: The draft correctly credits the framework and results to authors Wies Siffels, Giray Önür and Azita Dabiri. It keeps the critique of existing co-optimisation frameworks attributed to the authors.
Authors:Wies Siffels, Giray Önür, Azita Dabiri
summary — pass: The title, summary and question faithfully reflect the abstract. The draft explains AV, describes the two levels in plain language, and gives the simulation figures with their baselines. The question about variation across demand profiles and parameter settings follows directly from the abstract. Terms like co-optimisation and fixed-time signal control are understandable from context. The framing as simulation-only preserves the gap between the authors' claim of substantial benefits and real-world performance.
The framework is evaluated in simulation under multiple demand profiles and optimisation parameter settings.
date — pass: The original publication date of 2026-11-10 matches the v1 arXiv submission date. It is not the later feed date.
[Submitted on 10 Nov 2026]
support — pass: All four claims quote the abstract verbatim and stay attributed. The 13.6%, 12.3% and about-80% figures and their comparison baselines are preserved exactly. The limitations and the closing sentence add no unsupported benefits. They correctly note that transfer to real intersections is not established.
Compared with optimized vehicle trajectories with fixed-time signal control, the proposed framework reduces mean travel times by 13.6\% for AVs and 12.3\% for cyclists.
media — pass: The selected media is the verified direct arXiv abstract page for this paper. It is the most direct way to access the source.
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Explore TIMEarXiv is a research manuscript repository where authors share papers that may not yet have been peer reviewed.
Explore arXivTIME is a news magazine publishing reporting on world affairs, business, technology and the workers behind digital services.
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