ABSTRACT Several studies have developed operating speed prediction models. Most of the models are based on spot speed data, collected by radar guns, pavements sensors and similar mechanisms. Unfortunately, these data collecting methods force the users to assume some invalid assumptions in driver behaviour modeling: constant operating speed throughout the horizontal curves and occurrence of acceleration and deceleration only on tangents. In this study an instrumented vehicle with a GPS continuous speed tracking was used to analyze driver’s behaviour in terms of speed choice and deceleration/acceleration performances and to develop operating speed prediction models. The data used in the study were from a field experiment conducted in Italy on the rural motorway A16 (Naples-Avellino). Models were developed to predict operating speed in curves and in tangents, deceleration and acceleration rates to be used in the operating speed profiles, starting and ending points of constant operating speed in a curve, 85th percentile of the deceleration and acceleration rates of the individual drivers, and 85th percentile of the individual drivers’ maximum speed reduction in the tangent-to-curve transition.The study results show that (a) drivers’ speed was not constant along the curves, (b) the individual drivers’ maximum speed reduction was greater than the operating speed difference in the tangent-to-curve transition, and (c) deceleration and acceleration rates experienced by the individual drivers were greater than deceleration and acceleration rates used to draw the operating speed profiles.
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