Intelligent Cruise Control Field Operational Test Vol II, Appendices A-F
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Summary
This document serves as Volume II of the final report for the Intelligent Cruise Control (ICC) Field Operational Test (FOT), a cooperative agreement between the National Highway Traffic Safety Administration (NHTSA) and the University of Michigan Transportation Research Institute (UMTRI). The primary objective of the research was to characterize the safety and comfort issues inherent in human interactions with an automatic, driver-supervised headway-keeping system, known as Adaptive Cruise Control (ACC). The study aimed to understand how drivers utilize such systems in real-world conditions and to assess the implications of shared control between the driver and the vehicle. The experimental design involved instrumenting a fleet of 10 passenger cars with infrared ranging sensors, headway-control algorithms, and driver interface units to provide ACC functionality. These vehicles were provided to 108 volunteer drivers, who used them as their personal cars for periods of two or five weeks. The operational testing phase lasted from July 1996 to September 1997. The current volume specifically documents the data archive created as a permanent resource, detailing the structure of driver, ICC, and subject databases. It includes technical specifications for data tables covering variables such as GPS time, range, velocity, throttle position, and system states like tracking, braking, and cut-in events. Additionally, the volume contains summaries of questionnaire responses, exposure measurements, recruitment forms, system characterization procedures, and a chronology of software versions and driver assignments. The central finding reported in the abstract is that ACC was remarkably attractive to the majority of drivers. Because the system was pleasing to use, participants tended to utilize it across a broad range of driving conditions and adopted tactics to prolong the duration of each continuous engagement. Despite some expressed concerns, field test participants successfully operated the ACC system over approximately 35,000 miles of system engagement. The extensive database assembled covers both objective operational data and subjective driver feedback, providing a comprehensive view of user behavior and system performance. The significance of these findings lies in the identification of subtle issues related to the driver’s role as a supervisor of the ACC system. The researchers note that the long-term safety and traffic impacts of this shared-control nature are currently unknown. The study highlights that ACC requires a fine match to the perceptual and cognitive behaviors of drivers in a safety-critical task that affects nearby traffic. Consequently, while ACC offers great promise for improving the quality of the driving experience, the results imply an inherent necessity for human-centered design to ensure safe integration of such automated systems into everyday driving.
Key finding
Adaptive cruise control was remarkably attractive to drivers, who utilized it over a broad range of conditions and successfully operated it for approximately 35,000 miles of engagement.
Methodology
field_study
Sample size: 108
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: observational prevalence, behavioral performance data
- Methodological Resource: dataset resource