PolicyimplicationsMultinomiallogitConnectedAutonomousVehiclesAggressivequestionStrategicinteractionsHierarchicallogitEquilibriumNetworkcomplexitySupply-demandintegrationReinforcementlearningRobustparameterestimatesScalablesolutionDiscreteoptimizationFlowconservationReal-worlddataConvexprogramMobility-on-DemandOptimizationBehavior-awarenessGraph withhandwrittenfontTransportationNetworkCompaniesMobility-as-a-ServiceInterdisciplinarycollaborationEntropymaximizationAutomatedcalibrationGoodfor allBenchmarknetworksThat's agreatquestionMultiplestakeholdersSlacktimeProof ofconceptReal-timeoperationEndogenousdemandEmpiricalvalidationNovelapproachFutureworkLatecommitteememberSmartmobilityMicrotransitRidepoolingMarkovdecisionprocessPolicyimplicationsMultinomiallogitConnectedAutonomousVehiclesAggressivequestionStrategicinteractionsHierarchicallogitEquilibriumNetworkcomplexitySupply-demandintegrationReinforcementlearningRobustparameterestimatesScalablesolutionDiscreteoptimizationFlowconservationReal-worlddataConvexprogramMobility-on-DemandOptimizationBehavior-awarenessGraph withhandwrittenfontTransportationNetworkCompaniesMobility-as-a-ServiceInterdisciplinarycollaborationEntropymaximizationAutomatedcalibrationGoodfor allBenchmarknetworksThat's agreatquestionMultiplestakeholdersSlacktimeProof ofconceptReal-timeoperationEndogenousdemandEmpiricalvalidationNovelapproachFutureworkLatecommitteememberSmartmobilityMicrotransitRidepoolingMarkovdecisionprocess

Youngseo's B Exam - Call List

(Print) Use this randomly generated list as your call list when playing the game. There is no need to say the BINGO column name. Place some kind of mark (like an X, a checkmark, a dot, tally mark, etc) on each cell as you announce it, to keep track. You can also cut out each item, place them in a bag and pull words from the bag.


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  1. Policy implications
  2. Multinomial logit
  3. Connected Autonomous Vehicles
  4. Aggressive question
  5. Strategic interactions
  6. Hierarchical logit
  7. Equilibrium
  8. Network complexity
  9. Supply-demand integration
  10. Reinforcement learning
  11. Robust parameter estimates
  12. Scalable solution
  13. Discrete optimization
  14. Flow conservation
  15. Real-world data
  16. Convex program
  17. Mobility-on-Demand
  18. Optimization
  19. Behavior-awareness
  20. Graph with handwritten font
  21. Transportation Network Companies
  22. Mobility-as-a-Service
  23. Interdisciplinary collaboration
  24. Entropy maximization
  25. Automated calibration
  26. Good for all
  27. Benchmark networks
  28. That's a great question
  29. Multiple stakeholders
  30. Slack time
  31. Proof of concept
  32. Real-time operation
  33. Endogenous demand
  34. Empirical validation
  35. Novel approach
  36. Future work
  37. Late committee member
  38. Smart mobility
  39. Microtransit
  40. Ride pooling
  41. Markov decision process