Macro and micro models for zonal crash prediction with application in hot zones identification
发布时间：2016-07-13
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发表刊物：Journal of Transport Geography
摘要：Zonal crash prediction has been one of the most prevalent topics in recent traffic safety research. Typically, zonal safety level is evaluated by relating aggregated crash statistics at a certain spatial scale to various macroscopic factors. Another potential solution is from the micro level perspective, in which zonal crash frequency is estimated by summing up the expected crashes of all the road entities located within the zones of interest. This study intended to compare these two types of zonal crash prediction models. The macro-level Bayesian spatial model with conditional autoregressive
合写作者：Abdel-Aty M. (2016), Lee J., Zeng Q.*, Xu P., Song B., Huang H.
期号：54
页面范围：248-256
是否译文：否
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