Analyze traffic data.

Analyze traffic data. is a detailed work activity in O*NET — a concrete unit of work shared across 3 occupations and seen in 8 occupation-specific tasks. It rolls up into the broader work activity Analyze data to improve operations. in Analyzing Data or Information .

Detailed work activities are the most granular shared layer in O*NET's work-activity hierarchy (Generalized → Intermediate → Detailed → occupation-specific task). The figures below describe how this activity shows up across the economy and what independent studies measure about AI and this kind of work — not a prediction that the work will be automated.

AI exposure

Of the 8 tasks under this activity that the OpenAI / Eloundou “GPTs are GPTs” study rated, 7 (88%) are flagged as directly exposed to language models (E1) or exposed via model-powered tools (E2).

The Anthropic Economic Index observes real AI use on 1 of these tasks, with a mean mapped-usage share of 0.008% per task.

Exposure estimates overlap with model capabilities — whether a model could speed the task up — not whether the work will be done by software. Observed AI use is augmentation and assistance today, not jobs replaced.

Member tasks

Occupation-specific tasks O*NET maps to this detailed work activity, most important first.

• Analyze data related to traffic flow, accident rates, or proposed development to determine the most efficient methods to expedite traffic flow. · Traffic Technicians · importance 4.1 · exposure with tools
• Compute time settings for traffic signals or speed restrictions, using standard formulas. · Traffic Technicians · importance 4.0 · direct LLM exposure
• Study factors affecting traffic conditions, such as lighting or sign and marking visibility, to assess their effectiveness. · Traffic Technicians · importance 4.0 · exposure with tools
• Operate counters and record data to assess the volume, type, and movement of vehicular or pedestrian traffic at specified times. · Traffic Technicians · importance 3.9 · exposure with tools
• Analyze information from traffic counting programs. · Transportation Planners · importance 3.9 · exposure with tools
• Study traffic delays by noting times of delays, the numbers of vehicles affected, and vehicle speed through the delay area. · Traffic Technicians · importance 3.8 · exposure with tools
• Visit development or work sites to determine projects' effect on traffic and the adequacy of traffic control and safety plans or to suggest traffic control measures. · Traffic Technicians · importance 3.7 · no direct exposure
• Perform web service network traffic analysis or waveform analysis to detect anomalies, such as unusual events or trends. · Digital Forensics Analysts · exposure with tools

Occupations that perform this

• Traffic Technicians
• Transportation Planners
• Digital Forensics Analysts

Sources for this page

Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.

• O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
• Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27) Anthropic
• “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic

Data compiled June 2, 2026. Figures are estimates, not advice.

@misc{singulariki-analyze-traffic-data,
  title  = {Analyze traffic data.},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026},
  url    = {https://singulariki.com/detailed-activities/analyze-traffic-data}
}