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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。
Research on accident prediction models can provide road designers with effective safety design tools. The research needs a lot of basic data support, the size of data collection, data quality and data analysis directly determine the pros and cons of research results. In the process of the study of two-lane road accident prediction model, the author analyzes the factors influencing the safety of two-lane highway in our country, and determines the ideal data collection object under the existing conditions. The author summarizes the methods of data acquisition and their shortcomings. Including the scope of data collection, sample size requirements, accident data, traffic composition data, roadside, access and route data collection methods, data processing methods.