Using Traffic Speed Data to Rank Traffic Signal Performance and Prioritize Signal Retiming

What is it about?

Retiming traffic signals is known to improve system performance. However, due to limited funding and manpower, transportation agencies must decide which traffic signals to retime each year. This work proposes a methodology for using crowd-sourced traffic data to assess the performance of signalized corridors and rank them for retiming.

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Photo by Carlos Alberto Gómez Iñiguez on Unsplash

Photo by Carlos Alberto Gómez Iñiguez on Unsplash

Why is it important?

By addressing the corridors with the most need, agencies will optimize the use of their limited resources and be able to provide the best road system performance to the public. Using a data-driven method will also allow traffic engineers to defend retiming decisions to public officials and other stakeholders.