Before any new road gets built, signal gets timed, or corridor gets redesigned, one thing usually happens first — a traffic study.
Traffic studies are essential for making informed decisions about transportation planning. They provide data that helps cities, departments of transportation (DOTs), and traffic engineers better understand how people move through road networks — and where problems are likely to occur.
A traffic study is a detailed analysis of vehicular, pedestrian, and sometimes bicycle activity at a specific location or throughout a transportation network. The goal is to measure current traffic patterns, identify bottlenecks or safety risks, and forecast future demand.
Depending on the context, a traffic study might examine:
Studies can be short-term (a few hours) or long-term (several days or weeks), depending on the needs of the project.
At first glance, it might seem like traffic studies are just about counting cars — but they’re far more than that. The insights they provide directly influence decisions about road design, signal timing, crosswalk placement, and public funding.
For DOTs and municipalities, traffic studies help:
In many cases, a well-run traffic study can be the difference between proactive planning and costly, reactive changes down the line.
Traditionally, traffic studies relied on pneumatic tubes, video cameras, or manual counts — all of which come with limitations. Tubes don’t capture turning movements or distinguish vehicle types. Cameras struggle in low-light or inclement weather. And manual counts are labor-intensive and error-prone.
Today, more agencies are adopting advanced sensor-based solutions that provide real-time, high-resolution data. For instance, multimodal sensors like the Fusion Sensor — used by cities and agencies nationwide — can collect continuous data on vehicle volumes, pedestrian activity, turning movements, and speed, even in challenging conditions.
This kind of technology makes it possible to conduct longer studies with less labor, and it opens the door to deeper insights, such as:
Common triggers for a new traffic study include:
In each case, the study serves as an evidence-based foundation for next steps.
The findings from a traffic study aren’t just stored in a spreadsheet—they guide real-world actions. Engineers might use the data to:
In large-scale planning efforts, study data may also support broader goals like Vision Zero, complete streets policies, or multimodal transportation initiatives.
Traffic studies are a core part of modern transportation planning — and the methods behind them are evolving fast. As technology advances, agencies have access to more accurate, real-time data than ever before. Whether it’s through traditional means or with newer tools like intelligent roadside sensors, the goal remains the same: use data to make streets safer, more efficient, and more responsive to the people who use them.