AI Applications in Transportation Safety and Efficiency AIE Practice Questions (Page 8)

Questions 36–40

1. 36application · medium

   A city is deploying an AI-based traffic management center. They want to reduce congestion and improve bus reliability. Which solution best integrates both objectives?

   • AA congestion pricing model that charges drivers during peak hours and uses revenue to fund more buses.
   • BA demand prediction model that adjusts bus frequencies but leaves traffic signals on fixed timing.
   • CA separate adaptive signal system for cars and a bus priority system that works independently.
   • DA reinforcement-learning signal controller that optimizes for both vehicle throughput and bus schedule adherence, using bus GPS data as a priority input.
   Reveal Solution Discussion Select an answer first
2. 37foundation · easy

   How does AI contribute to accident analysis and prevention?

   • ABy randomly assigning blame to drivers involved in accidents
   • BBy reducing the speed limit on all roads to 20 mph
   • CBy physically repairing damaged roads after accidents
   • DBy analyzing large datasets of accident records to identify common risk factors
   Reveal Solution Discussion Select an answer first
4. 38application · medium

   A state highway department wants to reduce crashes at a known black spot. They have five years of crash reports, traffic volume counts, and weather data. Which AI approach is most appropriate?

   • ADeploy a predictive maintenance model on the road surface sensors to schedule repaving when wear is detected.
   • BUse a real-time video analytics system to detect near-misses and automatically adjust the speed limit.
   • CTrain a classification model on crash data to identify the most significant contributing factors, then prioritize countermeasures based on those factors.
   • DImplement a driver monitoring system that alerts drivers when they exceed the speed limit.
   Reveal Solution Discussion Select an answer first
5. 39application · medium

   A regional rail operator wants to increase ridership by making service more reliable and responsive to demand. They have ticket sales data, real-time train locations, and social media sentiment. Which AI solution is most aligned?

   • AA computer vision system that counts passengers on platforms to display crowding information.
   • BA social media sentiment analysis tool that posts automatic responses to complaints.
   • CA predictive maintenance model that forecasts track failures and schedules repairs at night.
   • DA demand prediction model that forecasts station-level ridership and adjusts train frequencies dynamically.
   Reveal Solution Discussion Select an answer first
6. 40application · easy

   A trucking company wants to reduce accidents caused by driver fatigue. They plan to install an AI system in their trucks. Which system would most directly address this goal?

   • AA camera-based system that monitors eye closure and head position and alerts the driver when drowsiness is detected
   • BAn AI system that optimizes delivery routes to minimize driving time
   • CAn autonomous emergency braking system that stops the truck if a collision is imminent
   • DA predictive maintenance system that monitors tire pressure and brake wear
   Reveal Solution Discussion Select an answer first