我国双车道公路事故预测模型研究中数据采集

事故预测模型的研究可为公路设计人员提供有效的安全设计工具。该研究需要大量基础数据的支撑,数据采集量的大小、数据质量和数据分析水平直接决定研究成果的优劣。笔者在双车道公路事故预测模型研究过程中,对我国双车道公路安全影响要素进行分析,确定基于现有条件下比较理想的数据采集对象,总结了数据采集的方法及其不足之处。具体包括数据采集的范围,样本量的需求,事故数据、交通组成数据、路侧、接入口和路线数据采集的方法、数据处理方式等。

Data Collection about Prediction Models for Two-lane Road Accidents in China

Researching results of accident prediction models can provide an effective tool for road safety design. However, such research needs many data as its basis, whose quantity, quality and degree of being analyzed has significant effect on researching results. During the research of prediction models for two-lane road accidents, main factors affecting two-lane road safety in China are analyzed; ideal contents for data collection under current conditions are determined. Methods for data collection are introduced and their advantages and disadvantages are summarized, which covers the range of data collection, the requirement for swatch, accident data, traffic data, roadside data, driveway data, road lane data, and so on.