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首页> 外文会议>Traffic congestion and traffic safety in the 21st century : Challenges, innovations, and opportunities >Analysis of Accidents, Traffic, and Pavement Data
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Analysis of Accidents, Traffic, and Pavement Data

机译：事故，交通和路面数据分析

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摘要

As part of the Geographic Information System (GIS) for infrastructure management being developed for Champaign County, Illinois, statistial and spatial analyses for three key roadway characteristics (safety, congestion level, pavement condition) were conducted. A regression model for predicting accident rate from average daily traffic was also developed. The statistical and spatial analyses showed that high congestio nlevel and/or traffic volume in urban areas are likely to lead to a low degree of safety, but they did not show any significant relationship between the Condition Rating Survey (CRS) and accident rate. However, it is believed that mechanistic models may be more appropriate to study the effect of pavement surface condition on road accidents.
机译：作为为伊利诺伊州尚佩恩县开发的基础设施管理地理信息系统（GIS）的一部分，对三个关键巷道特征（安全性，拥堵程度，路面状况）进行了统计和空间分析。还建立了用于从平均每日交通量预测事故率的回归模型。统计和空间分析表明，城市地区的高拥堵水平和/或交通量可能会导致安全程度低，但它们并未显示病情等级调查（CRS）与事故率之间的任何显着关系。但是，人们认为，机械模型可能更适合于研究路面状况对道路事故的影响。

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