Traffic Signal Performance Measures Using Crowd-Sourced Data

Traffic signal performance measures have historically been more difficult to quantify than other mobility measures, but new datasets obtained from crowdsourced data have improved the ability of users to quantify traffic signal performance measures at statewide, urban area, and corridor levels without the installation and maintenance costs of detection and enhanced signal system equipment beyond what is needed to operate the intersection. Calculation of these metrics at the statewide and urban area levels is useful for tracking performance and trends, and at the corridor level the metrics can be used for both performance tracking and traffic signal operations from a planning perspective.

Report

Evaluating Regional Traffic Signal Performance Measures Using Crowd-Sourced Data in 2021 Urban Mobility Report (2.4MB)

Appendices

Learn how we got the numbers and more in the appendices.

Appendix A – Methodology (694KB)
Appendix B – Signal and Corridor Level Analyses (1.3MB)

Base Statistics

The Excel spreadsheet (94KB) summarizes urban area level statistics for the 463 out of 494 urban areas for which INRIX traffic signal data were available for 2020. Data for all calculated signal performance metrics are included, and urban areas are ranked based on their Traffic Signal Efficiency Index (TSEI) score.