A logistics company wants to reduce accidents among its delivery drivers. They have telematics data showing harsh braking and speeding, but they also have a union that opposes constant surveillance. Which approach is most likely to be accepted and effective?

Install inward-facing cameras in all vehicles to monitor driver behavior in real time.

Use aggregated telematics data to identify patterns and provide anonymous coaching to drivers, rather than individual real-time alerts.

Use telematics to automatically deduct bonuses for any harsh braking event.

Analyze accident reports to identify high-risk routes and avoid them.

A logistics company installs an AI system in its delivery vans that uses a camera to track the driver's eye gaze, head position, and hand placement. The system alerts the driver when it detects signs of drowsiness or distraction. Which AI application does this describe?

Autonomous vehicle collision avoidance

Driver monitoring and assistance

Predictive maintenance for vehicle engines

A long-haul trucking company wants to reduce fatigue-related accidents. They install an in-cab camera system that monitors the driver's face and eye movements. Which alerting strategy is most effective?

Use the system to automatically slow the truck when drowsiness is detected.

Record video continuously and review it after each trip to identify risky behavior.

Alert the driver every time they look away from the road for more than 2 seconds, regardless of context.

Trigger an audible alert when the system detects eye closure or head nodding for more than a short duration, and escalate to a fleet manager if the driver does not respond.

How does AI predict infrastructure failures such as bridge or rail defects?

By analyzing sensor data and historical patterns to identify early warning signs

By visually inspecting structures only after visible cracks appear

By applying a fixed maintenance schedule regardless of condition

By using weather forecasts to decide when to close infrastructure

EC-CouncilArtificial Intelligence Essentials

Domain 2Objective 4

AI Applications in Transportation Safety and Efficiency AIE Practice Questions (Page 9)

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 41–45

41expert · hard
A logistics company wants to reduce accidents among its delivery drivers. They have telematics data showing harsh braking and speeding, but they also have a union that opposes constant surveillance. Which approach is most likely to be accepted and effective?
Select an answer first
42application · easy
A logistics company installs an AI system in its delivery vans that uses a camera to track the driver's eye gaze, head position, and hand placement. The system alerts the driver when it detects signs of drowsiness or distraction. Which AI application does this describe?
Select an answer first
43foundation · easy
Which AI-based feature in an autonomous vehicle is designed to automatically apply the brakes when an imminent collision is detected?
Select an answer first
44application · medium
A long-haul trucking company wants to reduce fatigue-related accidents. They install an in-cab camera system that monitors the driver's face and eye movements. Which alerting strategy is most effective?
Select an answer first
45foundation · easy
How does AI predict infrastructure failures such as bridge or rail defects?
Select an answer first

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