ABSTRACT We conduct a case study of highway system performance in Los Angeles County. We use the Los Angeles Archived Data Management System, a comprehensive archive of regional real-time multi-modal transportation system data, to analyze effects of systematic, functional, random, and land use factors on performance variation over different time periods of the day. To understand functional class effects, we use cluster analysis on geometric and demand parameters to identify functionally similar groups of highway segments. We compare performance between groups and across segments within groups. We perform regression analysis to test the influence of various factors on performance. We find that after controlling for time of day, accidents, and adjacent population density, group or peer effects have significant influence. This suggests that peer group level, as opposed to regional, performance measurement and monitoring is useful. Our research has significant implications for transportation system monitoring and planning.

中文翻译：

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使用存档的实时数据分析洛杉矶高速公路交通性能的大都市内变化

摘要 我们对洛杉矶县的公路系统性能进行了案例研究。我们使用洛杉矶存档数据管理系统（一个区域实时多式联运系统数据的综合档案）来分析系统性、功能性、随机性和土地利用因素对一天中不同时间段的性能变化的影响。为了理解功能类别的影响，我们使用几何和需求参数的聚类分析来识别功能相似的公路路段组。我们比较组之间和组内跨部门的表现。我们进行回归分析以测试各种因素对性能的影响。我们发现在控制一天中的时间、事故和邻近人口密度后，群体或同伴效应具有显着影响。这表明，与区域相比，对等组级别的绩效衡量和监控是有用的。我们的研究对交通系统监测和规划具有重要意义。