AI Applications in Transportation Safety and Efficiency AIE Practice Questions (Page 5)

Questions 21–25

1. 21application · medium

   An airline wants to reduce flight delays caused by mechanical issues. They have sensor data from aircraft engines and historical maintenance logs. Which AI approach is most effective?

   • AUse a real-time anomaly detection system that alerts pilots to any abnormal engine reading during flight.
   • BAnalyze historical delay data to identify which routes have the most mechanical issues and cancel those flights.
   • CImplement a computer vision system that visually inspects engines after every landing.
   • DTrain a predictive model that flags components likely to fail within a certain number of flight hours, enabling proactive replacement during scheduled maintenance.
   Reveal Solution Discussion Select an answer first
2. 22application · medium

   An autonomous shuttle manufacturer is designing a safety system for low-speed urban routes. The system must avoid pedestrians and cyclists while maintaining passenger comfort. Which combination of AI features is most appropriate?

   • AFusion of camera and LiDAR data with a deep-learning object detector that triggers emergency braking only when a collision is imminent.
   • BCamera-only object detection with automatic emergency braking whenever any object is within 5 meters.
   • CRadar-only detection with a warning to the remote operator instead of automatic braking.
   • DLiDAR-based obstacle detection with a rule that stops the vehicle whenever a point cloud is detected ahead.
   Reveal Solution Discussion Select an answer first
4. 23foundation · easy

   Which AI application helps prevent accidents by alerting drivers when they deviate from their lane without signaling?

   • AParking sensor system
   • BLane departure warning system
   • CAdaptive headlight system
   • DTire pressure monitoring system
   Reveal Solution Discussion Select an answer first
5. 24expert · hard

   A shipping company wants to reduce accidents involving its fleet of cargo ships. They have sensor data from engines and navigation systems, as well as historical incident reports. They are considering two AI applications: (1) predictive maintenance for engines, and (2) AI-based analysis of incident reports to identify risky routes. Which application is more likely to prevent accidents?

   • AIncident analysis, because it identifies risky routes and allows the company to avoid them
   • BNeither is effective; accidents are random and cannot be predicted
   • CBoth are equally effective, so the decision should be based on cost
   • DPredictive maintenance, because mechanical failures are a leading cause of accidents and can be prevented before they occur
   Reveal Solution Discussion Select an answer first
6. 25application · medium

   A city bus agency wants to improve on-time performance and reduce overcrowding on popular routes. They have historical ridership data, real-time GPS locations of buses, and weather forecasts. Which AI application should they prioritize?

   • AA demand-forecasting model that predicts ridership by route and time, feeding a dynamic scheduling system that adjusts headways.
   • BA computer vision system that counts passengers boarding each bus and displays occupancy on a mobile app.
   • CA traffic signal priority system that extends green lights for late buses.
   • DA predictive maintenance model that forecasts bus breakdowns and schedules repairs overnight.
   Reveal Solution Discussion Select an answer first