OKI evaluation of intelligent transportation system
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Summary
This report evaluates the ARTIMIS (Advanced Regional Travel Information and Management Information System), one of the earliest Intelligent Transportation Systems (ITS) deployed in the United States, serving the greater Cincinnati and Northern Kentucky regions. Commissioned by the Ohio-Kentucky-Indiana Regional Council of Governments and conducted by Cambridge Systematics, Inc., the study aimed to measure public awareness and usage of ARTIMIS components, assess the need for traveler information, and identify strategies to strengthen support for the system. The evaluation focused primarily on public perceptions (Task 1), utilizing both qualitative and quantitative methods, while agency perceptions (Task 2) were noted but not detailed in this report. The research design included two focus groups in February 2000 with travelers categorized by their frequency of using advanced information sources. This was followed by a quantitative survey of 375 households across seven counties in Ohio and Kentucky, conducted via computer-assisted telephone interviews in April 2000. The sample was stratified to reflect household distributions, with "heavy travelers" defined as those taking six or more trips per week. The survey assessed general travel behaviors, awareness of information sources, perceptions of ARTIMIS, and demographic data. The findings revealed that overall awareness of the term "ARTIMIS" was marginal, with only 40% unaided recall and 46% total awareness. The name itself conveyed little meaning to the public, and only 7% could correctly define it. However, awareness of specific components varied significantly; overhead message signs had the highest recognition (76%), while the Internet and Highway Advisory Radio had lower awareness. Despite low brand recognition, satisfaction among users was high, with two-thirds of travelers on served routes reporting satisfaction with the services. Radio remained the most preferred and widely used source of traffic information (81% unaided recall), surpassing ARTIMIS components. The study found that advanced traffic information significantly influenced travel behavior. Approximately 56% of residents changed their morning routes and 62% changed afternoon routes based on traffic information, saving an average of 7 to 12 minutes. Overhead message signs were particularly effective, with 49% of travelers changing routes based on their information, saving an average of 17 minutes. The report concludes that while ARTIMIS positively impacts commuter life and traffic conditions, proactive marketing is needed to improve brand recognition. Recommendations include optimizing message sign content, promoting the use of the 211 phone number and Internet services, and leveraging radio personalities to enhance credibility and usage.
Key finding
56% of residents changed their morning routes and 52% changed their morning departure times based on ARTIMIS traffic information, with overhead message signs being the most recognized component despite low overall brand awareness.
Methodology
mixed_methods
Sample size: 375
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 | — | — | 24 | 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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- Applied Guidance: countermeasure evaluation
- Empirical Findings: observational prevalence, self report data