Traffic Technicians

Analyze data related to traffic flow, accident rates, or proposed development to determine the most efficient methods to expedite traffic flow.

AI: Fully automatable - Advanced analytics and traffic simulation models can analyze flow, accident data, and development impacts and propose efficiency-improving methods, subject to human review for implementation.

Prepare work orders for repair, maintenance, or changes in traffic systems.

AI: Fully automatable - Preparing structured work orders from inspection, maintenance, or change requests is a routine documentation task that AI can fully automate.

Compute time settings for traffic signals or speed restrictions, using standard formulas.

AI: Fully automatable - Computing signal timing and speed-setting values using standard formulas is a routine calculation that software/AI can perform fully.

Prepare drawings of proposed signal installations or other control devices, using drafting instruments or computer-automated drafting equipment.

AI: Fully automatable - CAD and drafting automation driven by AI can produce drawings of proposed signal installations and control devices from specifications.

Gather and compile data from hand count sheets, machine count tapes, or radar speed checks and code data for computer input.

AI: Fully automatable - AI/automation (OCR, parsing, ETL) can reliably gather, compile and code data from hand sheets, tapes, and radar outputs for computer input.

Operate counters and record data to assess the volume, type, and movement of vehicular or pedestrian traffic at specified times.

AI: Fully automatable - Automated counters and AI-driven systems can operate counters and record vehicle/pedestrian volume, type, and movement without manual intervention.

Study traffic delays by noting times of delays, the numbers of vehicles affected, and vehicle speed through the delay area.

AI: Fully automatable - Automated sensors and video analytics can reliably record times of delays, vehicle counts, and speeds for traffic-delay studies.

Time stoplights or other delays, using stopwatches.

AI: Fully automatable - AI can time signal phases and delays using sensors, video analysis, or connected signal controllers reliably without manual stopwatch timing.

Prepare graphs, charts, diagrams, or other aids to illustrate observations or conclusions.

AI: Fully automatable - Data visualization tools and AI can automatically prepare graphs, charts, diagrams, and other illustrative aids from observational data.

Provide traffic information, such as road conditions, to the public.

AI: Fully automatable - AI systems already aggregate sensors, GPS, camera feeds, and official reports to provide real-time traffic and road-condition information to the public.

Interview motorists about specific intersections or highways to gather road-condition information for use in planning.

AI: Fully automatable - Automated surveys, phone/voice bots, and conversational agents can reliably interview motorists at scale and deliver structured road-condition data for planning.

Plan, design, and improve components of traffic control systems to accommodate current or projected traffic and to increase usability and efficiency.

AI: Partial - AI can generate and optimize design options for traffic control components but comprehensive planning and engineering judgment for final designs remain human-led.

Study factors affecting traffic conditions, such as lighting or sign and marking visibility, to assess their effectiveness.

AI: Partial - AI can analyze imagery, lighting models, and historical data to assess visibility and effectiveness but cannot fully replace on-site qualitative judgments and stakeholder accountability.

Provide technical supervision regarding traffic control devices to other traffic technicians or laborers.

AI: Partial - AI can provide technical guidance, compliance checks, and decision support for traffic control devices but cannot fully assume human supervisory responsibilities or on-site leadership.

Measure and record the speed of vehicular traffic, using electrical timing devices or radar equipment.

AI: Partial - AI can process and record speed readings from networked timing/radar sensors but cannot physically operate or position standalone field instruments without robotics or human technicians.

Lay out pavement markings for striping crews.

AI: Partial - AI can produce precise layout plans and guidance for pavement markings, but the physical layout and final adjustments are typically performed by human crews.

Review traffic control or barricade plans to issue permits for parades or other special events or for construction work that affects rights of way, providing assistance with plan preparation or revision, as necessary.

AI: Partial - AI can review plans, check regulatory compliance, and draft revisions to assist permitting, but final permit issuance and contextual judgment require human oversight.

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.

AI: Partial - AI can analyze plans, simulations, and remote imagery to suggest traffic control measures but cannot perform in-person observations or verify dynamic on-site conditions required for final determinations.

Interact with the public to answer traffic-related questions, respond to complaints or requests, or discuss traffic control ordinances, plans, policies, or procedures.

AI: Partial - AI can handle routine traffic inquiries, complaints, and triage but lacks full capability for nuanced policy discussions and complex public interactions requiring judgment and diplomacy.

Establish procedures for street closures or for repair or construction projects.

AI: Partial - AI can draft procedures and check regulatory requirements, but establishing and approving street-closure procedures requires local coordination, legal authority, and operational judgment that limit full automation.

Monitor street or utility projects for compliance to traffic control permit conditions.

AI: Partial - AI can monitor camera and telemetry feeds to flag potential noncompliance with permit conditions, but nuanced judgment, enforcement actions, and areas without sensor coverage still require human inspectors.

Develop plans or long-range strategies for providing adequate parking space.

AI: Partial - AI can produce demand models and candidate long-range parking strategies, but strategic planning requires stakeholder engagement, political trade-offs, and policy decisions that prevent full automation.

Place and secure automatic counters, using power tools, and retrieve counters after counting periods end.

AI: Not automatable - Placing, securing and retrieving physical counters with power tools is a manual, hands-on task that AI cannot perform without physical robotic systems.

Maintain or make minor adjustments or field repairs to equipment used in surveys, including the replacement of parts on traffic data gathering devices.

AI: Not automatable - Minor maintenance and part replacement are physical mechanical tasks that AI software cannot perform in the field without robotic actuators and technicians.