Day, ChristopherSharma, AnujDong, JingCho, In-HoGhosh, ArkaEmtenan, A M Tahsin2022-11-092022-11-092022-05https://dr.lib.iastate.edu/handle/20.500.12876/3wxaN5evThe primary objective of traffic signals is to ensure safe and efficient transfer of right-of-way at intersections. The Highway Capacity Manual (HCM) contains the most widely used methodology for evaluating the level of service at signalized intersections. Automated Traffic Signal Performance Measures (ATSPMs) based on high-resolution data are an emerging tool that can supplement HCM analysis. ATSPMs are developed using detector actuation or occupancy, and are sensitive to detector configuration. Whereas ATSPMs tend to focus on the performance of intersections, other datasets such as probe vehicle data can provide information about the performance of corridors. This dissertation consists of four studies that propose improvements to these methodologies for evaluating the performance of traffic signal systems. In the first study, new methods of estimating right-turn-on-red volume and capacity are developed for the HCM signalized intersection methodology. These models are developed from the analysis of over 200 signalized intersections across the US. The second study explores the impact of turning movement proportions and turning lane storage length on the capacity of oversaturated intersections. The third study investigates the effect of detector configuration on the accuracy of ATSPMs, examining the impact of stop bar detection zone length and lane- or approach-based detector assignment on the accuracy of split failure metrics and the impact of setback detector distance on the accuracy of progression metrics. In the fourth study, corridor segment speed data is compared with signal performance metrics from high-resolution data to confirm correlations between intersection and corridor performance measures from two independent datasets.PDFenImprovements to methodologies for signalized intersection capacity analysis and performance measurementarticle2022-11-09https://doi.org/10.31274/td-20240329-413Civil engineeringTransportationStatistics0000-0002-7001-6724ATSPMHCMIntersectionsOversaturationProbeRegression