Consider an agent that controls the traffic lights at a 4-way intersection (where 2 roads cross, with traffic flowing in all directions). The lights have green/yellow/red main lights plus a left-turn arrow and a pedestrian indicator. The agent controls which lights go on and how long they stay on. Assume the intersection has signals for pedestrians and in-pavement detectors right before the crosswalk for cars and bikes.PEAS Description:Performance: answers could include safety (number of accidents at the intersection) and minimizing average wait time (e.g. per car, bike, pedestrian)Environment: roads, cars, pedestrians, etc.Actuators: the traffic lights: green/yellow/red/arrow/walk/don’t-walk in each of the 4 directionsSensors: in-pavement traffic detectors (bike and car), pedestrian signal buttonsDesign Rule based rational agent for the implementation of the given scenario

When the volume of traffic is less, no explicit control is required. Here the road users are…

Performance: answers could include safety (number of accidents at the intersection) and minimizing average wait time (e.g. per car, bike, pedestrian) Environment: roads, cars, pedestrians, etc. Actuators: the traffic lights: green/yellow/red/arrow/walk/don’t-walk in each of the 4 directions Sensors: in-pavement traffic detectors (bike and car), pedestrian signal buttons Design Rule based rational agent for the implementation of the given scenario

Performance: answers could include safety (number of accidents at the intersection) and minimizing average wait time (e.g. per car, bike, pedestrian) Environment: roads, cars, pedestrians, etc. Actuators: the traffic lights: green/yellow/red/arrow/walk/don’t-walk in each of the 4 directions Sensors: in-pavement traffic detectors (bike and car), pedestrian signal buttons Design Rule based rational agent for the implementation of the given scenario

Operations Research : Applications and Algorithms

4th Edition

ISBN:9780534380588

Author:Wayne L. Winston

Publisher:Wayne L. Winston

Chapter19: Probabilistic Dynamic Programming

Section19.4: Further Examples Of Probabilistic Dynamic Programming Formulations

Problem 7P

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