AI Applications in Transportation Safety and Efficiency AIE Practice Questions (Page 3)

Questions 11–15

1. 11application · medium

   A city's subway system wants to improve on-time performance and reduce overcrowding. They have data on passenger entry/exit patterns, train locations, and delays. Which AI solution would best address both goals?

   • AUse AI to predict passenger demand and adjust train frequencies and car allocations in real time
   • BUse AI to analyze accident data and identify dangerous stations
   • CUse AI to optimize traffic signals for buses on surface streets
   • DUse AI to monitor driver behavior in subway cabs
   Reveal Solution Discussion Select an answer first
2. 12foundation · easy

   How does AI improve demand prediction for public transit systems?

   • ABy analyzing historical ridership data and external factors like weather and events
   • BBy increasing fares during peak hours to reduce ridership
   • CBy using GPS only to track vehicle locations in real time
   • DBy fixing the number of buses per route regardless of demand
   Reveal Solution Discussion Select an answer first
4. 13expert · hard

   A national highway authority wants to reduce fatal accidents. They have detailed crash data, but the data is incomplete (many reports lack weather conditions). They also have limited resources for road improvements. Which approach is most robust?

   • AAssume that missing weather data means good weather and proceed with the analysis.
   • BDiscard all records with missing weather data and analyze only complete cases.
   • CUse a model that handles missing data (e.g., imputation) to identify risk factors, and then prioritize improvements based on the model's confidence intervals.
   • DFocus only on improving road infrastructure at sites with the highest number of crashes, regardless of cause.
   Reveal Solution Discussion Select an answer first
5. 14expert · hard

   A city's public transit authority wants to improve bus service efficiency and reduce congestion. They have real-time GPS data from buses and traffic sensors. They are considering two AI applications: (1) dynamic bus scheduling based on demand prediction, and (2) adaptive traffic signal priority for buses. Which approach is more effective for reducing congestion?

   • ANeither is effective; only building more roads can reduce congestion
   • BBoth are equally effective, so the decision should be based on cost
   • CAdaptive traffic signal priority, because it directly reduces bus travel time and encourages ridership, reducing car usage
   • DDynamic bus scheduling, because it reduces the number of buses on the road
   Reveal Solution Discussion Select an answer first
6. 15application · medium

   A city's bus network is experiencing overcrowding on some routes and empty buses on others. The transit authority wants to use AI to rebalance service. Which approach best achieves this?

   • AUse AI to optimize traffic signal timings for buses at every intersection
   • BDeploy AI-powered cameras on buses to automatically issue tickets to passengers who do not pay
   • CImplement AI-based predictive maintenance to reduce bus breakdowns
   • DUse AI to analyze historical ridership and real-time passenger counts to predict demand and adjust bus frequencies and routes
   Reveal Solution Discussion Select an answer first