An airline wants to reduce flight delays caused by mechanical issues. They have sensor data from aircraft engines, including temperature, vibration, and pressure readings, along with maintenance logs and delay records. Which AI application would best help them achieve this?

Predictive maintenance to forecast component failures before they cause delays

Traffic flow optimization to reduce airspace congestion

Accident analysis to identify common causes of past crashes

Driver monitoring to alert pilots to fatigue

A freight rail operator wants to reduce unplanned derailments caused by track wear. They have years of sensor data from tracks, including vibration, temperature, and acoustic emissions, along with maintenance logs and derailment records. Which approach best uses AI to achieve this goal?

Deploy computer vision cameras on trains to detect visible cracks and send alerts to the control center

Implement a rule-based system that triggers an alarm when any sensor reading exceeds a fixed threshold

Use a clustering algorithm to group similar track sections and apply uniform maintenance to all sections in each cluster

Train a supervised model on historical sensor data and maintenance outcomes to predict track sections with high failure risk

A city's subway system wants to reduce overcrowding and improve service reliability. They have real-time passenger flow data from fare gates and historical train performance data. However, they have a limited budget and cannot upgrade the signaling system. Which AI solution is most feasible?

Use a demand prediction model to adjust train frequencies within the existing signaling constraints, and communicate crowding information to passengers.

Deploy a computer vision system on platforms to count passengers and automatically dispatch extra trains.

Implement a reinforcement-learning controller that optimizes train headways in real time, assuming the signaling system can support it.

Use a predictive maintenance model to reduce train breakdowns, which will indirectly reduce overcrowding.

A city has a congested downtown grid with 20 signalized intersections. They want to reduce travel times but also want to avoid increasing cut-through traffic in residential neighborhoods. They have historical volume data and a limited budget. Which approach should they take?

Implement a congestion pricing scheme that charges drivers to enter the downtown area.

Install more cameras to monitor traffic and manually adjust signals during peak hours.

Implement a reinforcement-learning signal controller that optimizes for network-wide throughput while constraining green times on residential boundary roads to limit cut-through.

Use a simple adaptive signal system that maximizes green time on the main arterials without considering side streets.

An autonomous vehicle manufacturer is testing a new safety feature that uses cameras and radar to detect pedestrians and cyclists. The system must decide when to apply emergency braking and when to warn the driver to take over. Which AI capability is most directly being implemented?

Traffic flow optimization for the vehicle's route

Accident analysis to determine liability after a crash

Collision avoidance with driver takeover alerts

Predictive maintenance for braking components

EC-CouncilArtificial Intelligence Essentials

Domain 2Objective 4

AI Applications in Transportation Safety and Efficiency AIE Practice Questions (Page 1)

Part of the Everyday AI Tools and Use Cases domain, which makes up ~28% of our current practice bank.

46questions here

10free pages

6concepts

Questions 1–5

1application · medium
An airline wants to reduce flight delays caused by mechanical issues. They have sensor data from aircraft engines, including temperature, vibration, and pressure readings, along with maintenance logs and delay records. Which AI application would best help them achieve this?
Select an answer first
2application · medium
A freight rail operator wants to reduce unplanned derailments caused by track wear. They have years of sensor data from tracks, including vibration, temperature, and acoustic emissions, along with maintenance logs and derailment records. Which approach best uses AI to achieve this goal?
Select an answer first
3expert · hard
A city's subway system wants to reduce overcrowding and improve service reliability. They have real-time passenger flow data from fare gates and historical train performance data. However, they have a limited budget and cannot upgrade the signaling system. Which AI solution is most feasible?
Select an answer first
4expert · hard
A city has a congested downtown grid with 20 signalized intersections. They want to reduce travel times but also want to avoid increasing cut-through traffic in residential neighborhoods. They have historical volume data and a limited budget. Which approach should they take?
Select an answer first
5application · medium
An autonomous vehicle manufacturer is testing a new safety feature that uses cameras and radar to detect pedestrians and cyclists. The system must decide when to apply emergency braking and when to warn the driver to take over. Which AI capability is most directly being implemented?
Select an answer first

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