Presentation on theme: "Identifying Split Failures Due to Over Saturation (Demand> Capacity) Ed Smaglik, Darcy Bullock, Jim Sturdevant & Tom Urbanik."— Presentation transcript:
Identifying Split Failures Due to Over Saturation (Demand> Capacity) Ed Smaglik, Darcy Bullock, Jim Sturdevant & Tom Urbanik
Prevailing View A signal phase does not have periods of over saturation if an agency never sees or hears about problems. We need tools to tabulate performance metrics related to over saturation 24-7!
Outline What is saturation? How do we quantify it? Yauch v/c ratio How can we measure it? Fuhr’s. collect data for better information.. How should we look at it? What can we do?
Split reallocation October 18th October 26th Phase 5 Phase 6 1234 5678 +5s -5s
Can we infer Split Failures by estimating served volume to capacity ratios?
Split Failures … counting the dots>1.0 Timing Plan Duration of Operation Split Failures (Before) Number of Phases (Before) Split Failures (After) Number of Phases (After) AM Peak 3 hr584587 Mid Day 2 hr1740 PM Peak 4.5 hr 16 131 9 Off Peak 5.5 hr 17 223 5 226
Comments Before we can manage during over saturation, we need to: Figure out what we are going to measure Determine how we can pull some meaningful information out of data Short term goal: develop tools to enable small, strategic human-in- the-loop to adjustments…without extensive field visits.
Challenges High Quality Cycle by Cycle Count Data Detection Technology Collection on Controller Quickly extracting meaningful easily understood graphs