IEEE Transactions on Systems Man and Cybernetics · 1976 · 24 citations · 7 references
EngineeringAutomotive EngineeringDecision SciencesDecision TheoryMarkov Decision ProcessesVehicle Safety EngineeringDecision TreesFinite State Machine ModelingIntelligent Transportation SystemsTraffic EngineeringTraffic SafetyVehicle ModelingCar-following ModelsDriver BehaviorDriver Behavior ModelingDriving Behavior ModelingFinite-state ProcessesHuman Factors In DrivingThresholdsVelocity
An approach to modeling human driver behavior in single-lane car following which is based on a finite-state decision structure is considered. The specific strategy at each point in the decision tree was obtained from observations of typical driver behavior. The synthesis of the decision logic is based on position and velocity thresholds and four states defined by regions in the phase plane. The performance of the resulting assumed intuitively logical model was compared with actual freeway data. The match of the model to the data was optimized by adapting the model parameters using a modified PARTAN algorithm. The results indicate that the heuristic model behavior matches actual car-following performance better during deceleration and constant velocity phases than during acceleration periods.
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