An approach to modelling human driver behaviour 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 behaviour. 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 optimised by adapting the model parameters using a modified PARTAN algorithm. The results indicate that the heuristic model barrier matches actual car-following performance better during deceleration and constant velocity phases than during acceleration periods.
A heuristic finite-state model of the human driver in a car-following situation
Ein heuristisches Modell des Verhaltens des Fahrers in einer Wagenkolonne bei einspuriger Fahrbahn
IEEE Transactions on Systems, Man and Cybernetics ; SMC-6 , 8 ; 554-562
1976
9 Seiten, 10 Quellen
Aufsatz (Zeitschrift)
Englisch
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