Monitor vehicle movement or location.

Monitor vehicle movement or location. is a detailed work activity in O*NET — a concrete unit of work shared across 8 occupations and seen in 13 occupation-specific tasks. It rolls up into the broader work activity Monitor operations to ensure adequate performance. in Monitoring Processes, Materials, or Surroundings .

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 13 tasks under this activity that the OpenAI / Eloundou “GPTs are GPTs” study rated, 3 (23%) are flagged as directly exposed to language models (E1) or exposed via model-powered tools (E2).

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.

• Monitor lights indicating obstructions or other trains ahead and watch for car and truck traffic at crossings to stay alert to potential hazards. · Subway and Streetcar Operators · importance 4.9 · no direct exposure
• Observe position and progress of vessels to ensure best use of lock spaces or bridge opening spaces. · Bridge and Lock Tenders · importance 4.8 · no direct exposure
• Raise drawbridges and observe passage of water traffic or lower drawbridges and raise automobile gates. · Bridge and Lock Tenders · importance 4.8 · no direct exposure
• Maintain and guard stations in bridges to check waterways for boat traffic. · Bridge and Lock Tenders · importance 4.8 · no direct exposure
• Monitor or direct the movement of aircraft within an assigned air space or on the ground at airports to minimize delays and maximize safety. · Air Traffic Controllers · importance 4.8 · no direct exposure
• Monitor aircraft within a specific airspace, using radar, computer equipment, or visual references. · Air Traffic Controllers · importance 4.7 · exposure with tools
• Observe approaching vessels to determine size and speed, and listen for whistle signals indicating desire to pass. · Bridge and Lock Tenders · importance 4.7 · no direct exposure
• Observe positions of cars passing loading spouts, and swing spouts into the correct positions at the appropriate times. · Tank Car, Truck, and Ship Loaders · importance 4.5 · no direct exposure
• Check conditions and traffic at different altitudes in response to pilots' requests for altitude changes. · Air Traffic Controllers · importance 4.4 · exposure with tools
• Observe yard traffic to determine tracks available to accommodate inbound and outbound traffic. · Railroad Conductors and Yardmasters · importance 4.2 · exposure with tools
• Spot cars for loading and unloading at customer locations. · Rail Yard Engineers, Dinkey Operators, and Hostlers · importance 4.2 · no direct exposure
• Monitor the arrival, parking, refueling, loading, and departure of all aircraft. · Airfield Operations Specialists · importance 4.2 · no direct exposure
• Mark tires of parked vehicles with chalk and record time of marking, and return at regular intervals to ensure that parking time limits are not exceeded. · Parking Enforcement Workers · importance 3.9 · no direct exposure

Occupations that perform this

• Subway and Streetcar Operators
• Bridge and Lock Tenders
• Air Traffic Controllers
• Tank Car, Truck, and Ship Loaders
• Railroad Conductors and Yardmasters
• Rail Yard Engineers, Dinkey Operators, and Hostlers
• Airfield Operations Specialists
• Parking Enforcement Workers

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
• “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic

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

@misc{singulariki-monitor-vehicle-movement-or-location,
  title  = {Monitor vehicle movement or location.},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026},
  url    = {https://singulariki.com/detailed-activities/monitor-vehicle-movement-or-location}
}