Effects of Vehicle Automation and Cooperative Driving Messaging on Driver Behavior When Passing a Bicyclist on a Shared Roadway
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Summary
This study investigates how SAE Level 2 vehicle automation and Cooperative Driving Automation (CDA) messaging influence driver behavior when passing bicyclists on shared roadways. The research addresses safety concerns regarding partial automation systems, which may fail to provide adequate lateral separation for bicyclists in shared lanes, potentially leading to conflicts. The study specifically examines whether CDA messages, which alert drivers to roadway configuration changes from dedicated to shared lanes, can mitigate these risks by aligning driver expectations with system behavior. The researchers conducted a driving simulator experiment with 96 licensed participants, balanced by gender and age. The study employed a 2x2 between-subjects design manipulating vehicle automation (conventional vs. SAE Level 2 with lane centering and adaptive cruise control) and vehicle connectivity (with vs. without CDA messages). Participants drove a 9-mile semiurban route that transitioned from a dedicated bicycle lane to a shared-use lane. In the shared lane, participants approached a bicyclist traveling near the lane edge. CDA messages provided audible and visual alerts about the upcoming lane change. Data collection included driving performance metrics (takeover decisions, lateral distance, speed) and eye-tracking data to assess visual attention. Results indicated that Level 2 drivers were significantly more likely to take over vehicle control in shared-use lanes (88–91%) compared to dedicated lanes (50–58%). Drivers on shared lanes generally maintained greater lateral separation from bicyclists than those on dedicated lanes. CDA messages had a notable impact on passing behavior: Level 2 drivers receiving CDA messages exhibited fewer moderate and abrupt lateral position changes compared to those without messages, suggesting smoother maneuvers. Additionally, both conventional and Level 2 drivers who received CDA messages gazed longer at the bicyclist in shared lanes. However, Level 2 drivers without CDA messages showed more abrupt lateral changes than their conventional counterparts, while CDA messages reduced this abruptness in automated vehicles. The findings suggest that CDA messaging improves safety by enhancing driver awareness and smoothing lateral adjustments when passing bicyclists in shared lanes, particularly for Level 2 automated vehicles. The study concludes that cooperative connectivity can help scaffold gaps in driver-system understanding, reducing the likelihood of unsafe passing distances and abrupt maneuvers. These results support the integration of V2I communication technologies to improve interactions between automated vehicles and vulnerable road users in mixed-traffic environments.
Key finding
Cooperative driving automation messages reduced abrupt lateral position changes for Level 2 automated vehicle drivers and increased visual attention to bicyclists for all drivers on shared-lane roadways.
Methodology
simulator
Sample size: 96
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 bulk_ingest_rosap on 2026-05-23 (6 acquisition events logged).
| Stage | Outcome | Tool | Model | Prompt | Attempts | Completed |
|---|---|---|---|---|---|---|
| discover | success | rosap | — | — | 2 | 2026-05-23 |
| archive | success | — | — | — | 1 | 2026-05-23 |
| extract | success | cached | — | — | 2 | 2026-06-10 |
| clean | success | — | — | — | 1 | 2026-06-01 |
| chunk | success | — | — | — | 1 | 2026-06-01 |
| embed | success | — | — | — | 1 | 2026-06-02 |
| enrich | success | — | — | — | 1 | 2026-05-23 |
| promote | success | — | — | — | 1 | 2026-05-23 |
| summarize | success | llm | qwen3.6-27b-prismaquant | summ-v5 | 3 | 2026-06-10 |
| tag | success | vector_similarity | — | — | 19 | 2026-06-11 |
| verify | success | — | — | — | 2 | 2026-06-10 |
Summary generated by qwen3.6-27b-prismaquant on 2026-06-10; verification: verified.
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- Empirical Findings: behavioral performance data, observational prevalence
- Methodological Resource: tool software