Safety performance functions (SPFs) are essential tools to help agencies predict crashes and understand influential factors. Florida Department of Transportation (FDOT) has implemented a context classification system which classifies intersections into eight context categories rather than the three classifications used in the Highway Safety Manual (HSM). Using this system, regional SPFs could be developed for 32 intersection types (unsignalized and signalized 3-leg and 4-leg for each category) rather than the 10 HSM intersection types. In this paper, eight individual intersection group SPFs were developed for the C3R-Suburban Residential and C4-Urban General categories and compared with full SPFs for these categories. These comparisons illustrate the unique and regional insights that agencies can gain by developing these individual SPFs. Poisson, negative binomial, zero-inflated, and boosted regression tree models were developed for each studied group as appropriate, with the best model selected for each group based on model interpretability and five performance measures. Additionally, a linear regression model was built to predict minor roadway traffic volumes for intersections which were missing these volumes. The full C3R and C4 SPFs contained four and six significant variables, respectively, while the individual intersection group SPFs in these categories contained six and nine variables. Factors such as major median, intersection angle, and FDOT District 7 regional variable were absent from the full SPFs. By developing individual intersection group SPFs with regional factors, agencies can better understand the factors and regional differences which affect crashes in their jurisdictions and identify effective treatments.

安全绩效功能（SPF）是帮助机构预测事故并了解影响因素的重要工具。佛罗里达州交通运输部（FDOT）已实施了上下文分类系统，该系统将交叉路口分为八个上下文类别，而不是《公路安全手册》（HSM）中使用的三个分类。使用该系统，可以为32种路口类型（每个类别的无信号和信号3脚和4脚）开发区域SPF，而不是10种HSM交叉口类型。在本文中，为C3R-郊区住宅和C4-城市一般类别开发了八个单独的相交群SPF，并与这些类别的完整SPF进行了比较。这些比较说明了机构通过开发这些个体SPF可以获得的独特和区域性见解。泊松 分别为每个研究组开发了负二项式，零膨胀和增强回归树模型，并根据模型的可解释性和五个性能指标为每个组选择了最佳模型。此外，建立了线性回归模型来预测缺少这些路口的交叉路口的较小道路交通量。完整的C3R和C4 SPF分别包含四个和六个重要变量，而这些类别中的单个交集SPF包含六个和九个变量。完整的SPF缺少主要中位数，相交角和FDOT 7区区域变量等因素。通过开发具有地区性因素的单个路口组SPF，