AI Applications in Transportation Safety and Efficiency AIE Practice Questions (Page 7)

Questions 31–35

1. 31expert · hard

   An autonomous vehicle company is developing a Level 4 shuttle for mixed traffic. They must ensure passenger safety but also avoid motion sickness caused by harsh braking. Which design choice best balances these?

   • ALimit the vehicle's speed to 10 km/h at all times to allow more reaction time.
   • BRely on a remote operator to monitor the vehicle and intervene when necessary.
   • CUse a reactive emergency braking system that only activates when a collision is imminent.
   • DUse a predictive collision-avoidance system that anticipates pedestrian movements and applies gentle, early braking rather than waiting for a close encounter.
   Reveal Solution Discussion Select an answer first
2. 32foundation · easy

   What is the primary purpose of predictive maintenance in transportation using AI?

   • ATo forecast potential failures and schedule maintenance before breakdowns occur
   • BTo extend the lifespan of vehicles by reducing their speed limits
   • CTo schedule repairs only after a component has failed
   • DTo replace all vehicle parts at regular fixed intervals
   Reveal Solution Discussion Select an answer first
4. 33application · medium

   A self-driving shuttle service operating in a pedestrian-heavy downtown area wants to enhance safety. The shuttle's AI must detect unexpected obstacles and also ensure that a human safety operator can intervene when needed. Which combination of features is most appropriate?

   • ATraffic flow optimization to prioritize shuttles at signals and a passenger counting system
   • BCollision avoidance with automatic emergency braking and a remote operator override system
   • CAccident analysis to review past incidents and a fixed route with no deviations
   • DPredictive maintenance for the shuttle's batteries and a driver monitoring camera for passengers
   Reveal Solution Discussion Select an answer first
5. 34expert · hard

   A trucking company wants to implement predictive maintenance on its fleet. They have sensor data from newer trucks but not from older ones. They also want to avoid false alarms that could lead to unnecessary downtime. Which strategy is best?

   • ADeploy the model only on older trucks to avoid risking newer trucks.
   • BApply the model to all trucks, assuming the sensor data is similar enough.
   • CTrain a model on the sensor-equipped trucks and validate it on a holdout set to measure false-positive rate, then apply it only to trucks with similar sensor configurations.
   • DUse a simple threshold on engine temperature for all trucks, regardless of sensor data.
   Reveal Solution Discussion Select an answer first
6. 35application · medium

   A rideshare company wants to reduce accidents caused by distracted driving. They have access to telematics data (speed, braking, cornering) and smartphone sensor data. Which AI system should they deploy?

   • AA system that automatically locks the driver's smartphone while the vehicle is in motion.
   • BA camera-based system that monitors the driver's face and alerts them when they look away from the road.
   • CA driver behavior model that uses telematics to detect harsh events and correlates them with trip context to provide personalized safety scores and coaching.
   • DA predictive model that analyzes accident reports to identify high-risk intersections and reroutes drivers around them.
   Reveal Solution Discussion Select an answer first