AI Applications in Transportation Safety and Efficiency AIE Practice Questions (Page 6)

Questions 26–30

1. 26foundation · easy

   What is the main function of an AI-based driver monitoring system?

   • ATo track the vehicle's fuel efficiency
   • BTo record the driver's conversations for insurance purposes
   • CTo automatically steer the vehicle at all times
   • DTo detect driver drowsiness or distraction and issue alerts
   Reveal Solution Discussion Select an answer first
2. 27expert · hard

   A transit agency operates a fleet of 200 buses. They want to implement predictive maintenance to reduce breakdowns, but they have limited data: only 6 months of maintenance logs and no sensor data on most buses. They also need to maintain service levels. What is the best approach?

   • AUse a computer vision system to inspect buses visually after each route.
   • BInstall sensors on all 200 buses at once and wait for a year of data before making any changes.
   • CImmediately deploy a deep learning model on the 6 months of logs to predict failures with high accuracy.
   • DStart with a rule-based maintenance schedule based on mileage and age, and gradually add sensor data from a pilot fleet to train a predictive model.
   Reveal Solution Discussion Select an answer first
4. 28application · medium

   A city traffic authority deploys an AI system that adjusts signal timings in real time based on vehicle density, pedestrian flow, and emergency vehicle alerts. During a test, the system detects a delivery truck blocking an intersection and automatically extends the red phase for cross traffic while notifying nearby autonomous shuttles to reroute. Which combination of AI capabilities is the system primarily using?

   • APredictive maintenance with driver monitoring
   • BAccident analysis with public transit scheduling
   • CTraffic flow optimization with collision-avoidance coordination
   • DDemand prediction with emergency braking
   Reveal Solution Discussion Select an answer first
5. 29application · medium

   A self-driving delivery vehicle operates in a pedestrian-heavy downtown area. The vehicle must navigate safely but also maintain a reasonable delivery speed. Which safety feature is most appropriate?

   • AA collision-avoidance system that uses sensor fusion to predict pedestrian paths and applies gradual braking when a conflict is likely.
   • BA driver monitoring camera that alerts a remote operator if the vehicle's sensors detect a pedestrian.
   • CA rule-based system that reduces speed to 5 km/h whenever any object is detected in the vehicle's path.
   • DAn emergency braking system that stops the vehicle whenever any pedestrian is detected within 3 meters.
   Reveal Solution Discussion Select an answer first
6. 30application · medium

   A highway safety agency has collected years of accident reports, weather data, road condition logs, and traffic volume data. They want to identify which factors most strongly correlate with severe accidents and then implement targeted countermeasures. Which AI approach is most appropriate?

   • AUse AI to optimize traffic signal timings on adjacent city streets
   • BUse a machine learning model to analyze the historical data and identify risk factors, then prioritize countermeasures based on the model's feature importance
   • CDeploy real-time driver monitoring cameras on all highways to detect drowsy driving
   • DInstall predictive maintenance sensors on all highway bridges to detect structural weaknesses
   Reveal Solution Discussion Select an answer first