Understanding the interaction between cyclists and motorized vehicles at unsignalized intersections: Results from a naturalistic cycling study
DOI: 10.1016/j.jsr.2024.05.007
archive: archived pipeline: cataloged verified
Get this paper ↗ (DOI — opens at the source; we link to it, we don't host it)
Summary
This study investigates the interaction dynamics between cyclists and motorized vehicles at unsignalized intersections, aiming to develop behavioral models that predict cyclist intent for use in automated vehicles (AVs) and active safety systems. The research is motivated by the increasing prevalence of cycling in urban areas and the high frequency of conflicts at crossings where road users share paths. While previous studies have examined pedestrian-vehicle interactions or used driving simulators to study driver responses, there is a lack of detailed modeling of cyclist behavior specifically at unsignalized intersections, particularly regarding the influence of visibility and time-to-arrival metrics. To address this gap, the authors conducted a fixed-base cycling simulator experiment involving 27 participants who cycled at least once a week. The simulation replicated a real unsignalized three-way intersection in Gothenburg, Sweden, where cyclists have the right of way. Participants rode toward the intersection while interacting with a virtual passenger car approaching from the right. The experimental design manipulated two independent variables: the difference in time to arrival (DTA) at the intersection, with levels of 1.2, 2.5, and 3.5 seconds, and intersection visibility (IV), defined by the distance an obstructing truck was placed from the intersection (22 m or 27 m). Data were collected on kinematic actions (pedaling, braking, speed) and visual behavior (head turning), alongside subjective questionnaire responses. Linear mixed-effect models were employed to analyze the effects of these variables on braking onset distance and yielding decisions. The results identified a consistent sequence of cyclist actions: stopping pedaling, braking, and turning the head toward the vehicle. However, in scenarios with low DTA and low visibility, cyclists looked at the vehicle before braking. The distance at which cyclists initiated braking was significantly influenced by both DTA and IV. Furthermore, the analysis revealed that DTA, the duration of looking at the vehicle, and pedaling behavior were significant predictors of the cyclist’s decision to yield. Questionnaire data indicated that participants frequently missed eye contact or communication with the driver, highlighting a reliance on visual cues that were often obstructed. The study concludes that kinematic interactions and visual response processes can effectively predict cyclist yielding decisions. From an infrastructural perspective, enhancing visibility at intersections is recommended to reduce interaction severity. For technological applications, the derived models can improve threat assessment algorithms in AVs and active safety systems, allowing them to react more safely to vulnerable road users. The findings underscore the critical role of visual communication and visibility in cyclist decision-making, suggesting that future safety systems must account for these behavioral cues to avoid inappropriate interventions.
Key finding
Cyclists' braking onset distance and yielding decisions at unsignalized intersections are significantly affected by intersection visibility and the difference in time to arrival between the cyclist and the vehicle.
Methodology
simulator
Sample size: 25
Provenance
The full processing record for this entry. Every stage of this paper's journey through the pipeline is logged — what ran, with which tool and model, how many attempts it took, and when it last completed. Discovered via scout_discovery on 2026-05-08.
| Stage | Outcome | Tool | Model | Prompt | Attempts | Completed |
|---|---|---|---|---|---|---|
| discover | partial | scout | — | — | 2 | 2026-05-08 |
| archive | success | openalex | — | — | 8 | 2026-06-06 |
| extract | success | cached | — | — | 3 | 2026-06-10 |
| clean | success | clean | — | — | 1 | 2026-06-04 |
| chunk | success | chunk | — | — | 1 | 2026-06-04 |
| embed | success | embed | Qwen/Qwen3-Embedding-8B | — | 1 | 2026-06-04 |
| enrich | success | semantic_scholar | — | — | 2 | 2026-06-04 |
| promote | success | — | — | — | 1 | 2026-06-04 |
| summarize | success | llm | qwen3.6-27b-prismaquant | summ-v5 | 2 | 2026-06-10 |
| tag | success | vector_similarity | — | — | 15 | 2026-06-11 |
| verify | success | — | — | — | 2 | 2026-06-10 |
Summary generated by qwen3.6-27b-prismaquant on 2026-06-10; verification: verified.
Topics
Ranked by relevance to this paper. Hover a topic for its definition.