Crossing Guards

Monitor traffic flow to locate safe gaps through which pedestrians can cross streets.

AI: Fully automatable - By 2025 computer-vision systems and trajectory-prediction models can monitor traffic streams from cameras and identify safe crossing gaps in real time.

Learn the location and purpose of street traffic signs within assigned patrol areas.

AI: Fully automatable - AI systems can map, recognize, and explain the location and purpose of street traffic signs using imagery, GIS data, and trained classifiers.

Record license numbers of vehicles disregarding traffic signals, and report infractions to appropriate authorities.

AI: Fully automatable - Automatic license-plate recognition (ALPR) systems already record plates of violators and can compile and forward infraction reports to authorities.

Inform drivers of detour routes through construction sites.

AI: Fully automatable - Providing detour information can be fully automated via dynamic roadside signage, navigation apps, and in-vehicle alerts driven by AI routing systems.

Direct or escort pedestrians across streets, stopping traffic as necessary.

AI: Partial - While traffic signals and automated systems can control flows, safely escorting pedestrians across complex, dynamic street environments typically requires an on‑site human, so partial automation.

Guide or control vehicular or pedestrian traffic at such places as street and railroad crossings and construction sites.

AI: Partial - Automated traffic control and signage can manage routine flows, but dynamic decision‑making for construction sites, emergencies, and nuanced pedestrian interactions still relies on humans, so partial automation.

Communicate traffic and crossing rules and other information to students and adults.

AI: Partial - AI can deliver rules and information via speakers, displays, or conversational agents but cannot fully replicate the interpersonal adaptation, authority, and trust-building needed with students and adults.

Direct traffic movement or warn of hazards, using signs, flags, lanterns, and hand signals.

AI: Partial - AI can control electronic signage and traffic signals remotely or send warnings, but it cannot physically perform hand-signals, flagging, or portable-lantern directing at a roadside without deployed robots.

Report unsafe behavior of children to school officials.

AI: Partial - Automated video-analytics can detect risky behaviors and generate alerts or reports, but contextual judgment, safeguarding decisions, and privacy considerations generally require human review.

Discuss traffic routing plans and control point locations with superiors.

AI: Partial - AI can draft, simulate, and participate in routing-plan discussions, but final coordination and nuanced decision-making with superiors typically remain human-led.

Distribute traffic control signs and markers at designated points.

AI: Not automatable - Placing physical signs and markers is a manual, on-the-ground task that AI alone cannot perform without specialized robotic hardware that is not widely deployed.

Stop speeding vehicles to warn drivers of traffic laws.

AI: Not automatable - Stopping vehicles to warn drivers requires physical intervention and legal authority that AI systems cannot exercise.