Integrated vehicle-based safety systems (IVBSS) : heavy truck platform field operational test data analysis plan.
archive: archived pipeline: cataloged verified
Get this paper ↗ (full text — opens at the source; we link to it, we don't host it)
Summary
This document outlines the data analysis plan for the Integrated Vehicle-Based Safety Systems (IVBSS) Heavy Truck Platform Field Operational Test (FOT), prepared by the University of Michigan Transportation Research Institute (UMTRI) for the U.S. Department of Transportation. The study aims to evaluate the effectiveness of state-of-the-art integrated crash warning systems in reducing crashes and to gauge driver acceptance for widespread deployment in commercial truck fleets. The system, developed by Eaton and Takata, integrates three subsystems: forward crash warning (FCW), lateral drift warning (LDW), and lane-change/merge warning (LCM). The experimental design involves a fleet of ten Class 8 tractors operated by twenty commercial drivers from Con-way Freight over a ten-month period. The study employs a within-subjects design, where each driver serves as their own control. The first two months constitute a baseline period with no warnings presented, while the subsequent eight months represent the treatment condition with active warnings. Vehicles were instrumented to capture detailed data on driving environment, driver behavior, system activity, and vehicle kinematics across an estimated 620,000 miles. Subjective data on driver acceptance were collected via post-drive surveys and debriefings. The analysis plan addresses three primary areas: vehicle exposure and warning system activity, effects on driver behavior, and driver acceptance. Exposure analyses characterize driving conditions, including travel patterns, roadway attributes, environmental factors, and driver characteristics. System activity analyses assess warning frequency, availability, and false warning rates, categorizing events into specific driving scenarios. Behavioral analyses examine changes in safety-relevant metrics, such as lane keeping, headway maintenance, and secondary task engagement, comparing baseline and treatment periods. Acceptance is evaluated through subjective responses regarding comfort, utility, and convenience, supported by observed system interactions. The plan defines 29 specific research questions, including 16 focused on driver behavior and 13 on acceptance, covering lateral control, longitudinal control, and driver-vehicle interface issues. These analyses are intended to complement independent evaluations by the Volpe National Transportation Systems Center. The findings aim to determine whether the integrated system influences driving behavior positively or negatively and to identify areas for future system improvement. The results contribute to a broader understanding of the viability of integrated crash warning systems for heavy trucks, providing evidence-based insights into their operational effectiveness and user acceptance in real-world commercial driving environments.
Key finding
The study design utilizes a within-subjects experimental approach comparing driver behavior and system exposure across baseline and treatment periods to evaluate the impact of integrated crash warning systems on commercial truck operations.
Methodology
field_study
Sample size: 20
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.
Topics
Ranked by relevance to this paper. Hover a topic for its definition.
- naturalistic crash near crash
- induced exposure
- behavioral adaptation risk compensation
- adas effectiveness
- exposure measurement
- traffic density
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: crash risk outcomes, behavioral performance data
- Methodological Resource: tool software