A Transformative Data Collection Solution

Responding with Our Research


This post shares an example
of shifting our R&D efforts
in response to COVID-19

Alternative Data Collection

Over the past weeks, Fehr & Peers has actively listened to our clients throughout the country and gathered feedback on what challenges agencies, institutions, teaming partners, and private sector clients face in these unprecedented times. One aspect of our industry that many have asked about is data collection:

How will Fehr & Peers be approaching data collection in these times of suppressed travel volumes and economic activity, and how will this impact data quality, schedule, and defensibility?

Because traffic volume data is the foundation of many aspects of the transportation profession, from forming the basis of traffic volume forecasts to informing design characteristics, having good estimates of existing traffic volumes is critical to the engineering – and political – success of projects. Traditional data collection methods may now result in unacceptable delays to project schedules and yield count data that does not meet technical expectations. Feedback received from clients indicates that an alternative solution to traditional data collection should be:

Based on a high-quality source of data, including multiple days of observations throughout the year


Efficient to generate and analyze


Able to replicate previous traffic count volumes within typical margins of error expected in the transportation profession

StreetLight Confidence Test

As noted in our recent blog post, we have accelerated our Research and Development actions to address the questions and needs of our clients and teaming partners. Fehr & Peers has leveraged our relationships with vendors of Big Data and emerging sources of data and technologies to determine alternatives to traditional count methods.

Fehr & Peers’ Forecasting and Operations Discipline Group, Land-Use and Transportation Discipline Group, and Data Science Technical Initiative have jointly completed an independent, third-party validation review of StreetLight Data’s intersection turning movement volume estimates. This validation review compared StreetLight’s traffic volume estimates to morning and afternoon peak period counts taken in 2019 at over 70 intersections throughout the California, Washington, and Utah markets, including over 2,650 individual movements by hour. We focused on count locations in these particular states, as StreetLight’s validation whitepaper on the algorithms behind the product indicated that the calibration of these algorithms relied on data from Colorado, Arizona, Midwest, and Eastern Seaboard regions.

The comparison included a statistical analysis of how the count data and the StreetLight volume estimates compared:

Overall, the comparisons indicated that StreetLight volume estimates are a reasonable and acceptable source of data for factoring traffic counts, or, in locations where old or no prior data is available, as a replacement for traditional traffic counts (by looking at data for 2019). In locations with high transit use or high bicycle and pedestrian activity, the StreetLight estimates tended to be higher than manual counts. Users should note this tendency and perform checks against previous counts when available to determine if adjustments are warranted. Interested in reviewing the detailed validation data? Contact us below.

A Viable Solution

There are strengths and weaknesses with any data source – single-day traffic counts provide a more accurate representation of a single day’s traffic volume, but cannot provide information about the expected large variations in volume (at least +/- 10%) from one day to another or season-by-season. Big Data-based count volume estimates (of which StreetLight is one of a handful of providers) provides a much larger sample which can capture that variability.

The costs for big data traffic volume estimates are competitive with traditional traffic counts and offer the benefit of including up to one year’s worth of data plus all hours of the day. This data is available on-demand (saving valuable schedule), and has a much greater sample size, thus providing greater confidence in the estimates. Based on this information, StreetLight estimates meet all of the desired characteristics requested by our clients regarding an alternative solution to traditional data collection.

Our expertise with the data, along with our in-depth knowledge of the markets in which we serve, allows us to understand the situations in which this alternative source of data will perform well, or situations in which the data needs to be adjusted. If you would like to know more about this data product and how it can be used to address your needs, please contact our leaders on this topic – Ian Barnes, Marissa Milam, and Ron Ramos – to discuss how this product can be of use for your project or community.