Data underlying the publication: "Modelling Driver Expectations for Safe Speeds on Freeway Curves using Bayesian Belief Networks"

This research employs a Bayesian Belief Network to model driver expectations using measured speeds in 153 curves and data on the characteristics of the curve approaches. The data used as input for the Baysian Belief Network is shared here. It contains visual cues such as the direction of a curve, preceding roadway configuration, number of lanes and signs, along with measured 85th percentile speeds.

本研究采用贝叶斯信念网络（Bayesian Belief Network），基于153个弯道的实测车速与弯道引道特征数据，构建驾驶员期望模型。本次公开了该贝叶斯信念网络的输入数据集，其包含各类视觉线索：弯道走向、前方道路构型、车道与标识的数量，以及实测的85百分位车速。