The effect of visual advanced driver assistance systems on a following human driver in a mixed-traffic condition
DOI: 10.1016/j.procs.2022.12.130
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 impact of visual Advanced Driver Assistance Systems (ADAS) on human drivers following autonomous vehicles (AVs) in mixed-traffic conditions. The research is motivated by evidence that AV platooning negatively affects conventional vehicle drivers, often inducing shorter time headways (THW) and increased collision risks through behavioral adaptation. The authors aim to determine if visual ADAS can help human drivers maintain safe gaps and how this assistance influences driving performance and perception under different speed and time-of-day conditions. The methodology employed a fixed-based driving simulator with 14 participants who drove behind a lead vehicle representing an AV platoon. Participants completed two 30-minute driving tasks: one at a constant speed (40 km/h) and one with varying speeds (alternating between 40 km/h and 60 km/h every 30 seconds). The study controlled for time of day (morning vs. afternoon) to assess fatigue effects. Drivers used a head-up display ADAS that indicated safe (green), too close (red), or too far (red) headways based on specific THW thresholds. Data collection included subjective measures of workload (NASA-TLX) and fatigue (SOFI-20), as well as objective performance metrics: standard deviation of lateral position (SDLP), steering wheel angle variability (SDSWM), mean steering wheel amplitude, and brake reaction time (BRT) during simulated emergency braking events. The results indicated that visual ADAS helped drivers maintain safe headways but introduced trade-offs in driving behavior. Subjectively, varying speed conditions led to higher temporal demand and lower lack of motivation compared to constant speed, though overall workload and fatigue differences were not statistically significant. Objectively, lane-keeping performance (SDLP) showed no significant differences between conditions. However, steering behavior changed significantly; drivers exhibited increased steering wheel angle variability and larger mean steering amplitudes when following varying speeds compared to constant speeds. These changes suggest that the cognitive load of adjusting to speed variations while monitoring the ADAS affected vehicle control stability. The text notes that preliminary results imply visual modality alone may impair emergency reaction capabilities, although specific BRT statistical outcomes were truncated in the provided text. The significance of this study lies in its demonstration that while visual ADAS can mitigate unsafe headways in mixed traffic, it may not be sufficient for ensuring comprehensive safety. The findings suggest that visual feedback alone might distract drivers or complicate their ability to react to emergencies, such as sudden AV braking. Consequently, the authors conclude that effective sustainable transport management requires more than visual cues; it necessitates additional feedback modalities or intelligent transport systems to support human drivers in maintaining safe interactions with automated vehicles.
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.
| Stage | Outcome | Tool | Model | Prompt | Attempts | Completed |
|---|---|---|---|---|---|---|
| discover | success | OpenAlex-citations | — | — | 1 | 2026-06-20 |
| archive | success | openalex | — | — | 5 | 2026-06-26 |
| extract | success | cached | — | — | 2 | 2026-06-26 |
| clean | success | clean | — | — | 1 | 2026-06-20 |
| chunk | success | chunk | — | — | 1 | 2026-06-20 |
| embed | success | embed | Qwen/Qwen3-Embedding-8B | — | 1 | 2026-06-20 |
| promote | success | — | — | — | 1 | 2026-06-20 |
| summarize | success | llm | qwen3.6-27b-prismaquant | summ-v5 | 1 | 2026-06-26 |
| tag | success | vector_similarity | — | — | 6 | 2026-06-20 |
| verify | success | — | — | — | 1 | 2026-06-26 |
Summary generated by qwen3.6-27b-prismaquant on 2026-06-26; verification: verified.
Topics
Ranked by relevance to this paper. Hover a topic for its definition.
Information type
What kind of knowledge this paper contributes, grouped by family — independent of topic (what it is about) and method (how it was studied).
- Empirical Findings: behavioral performance data