Do you know how to organize, manage, manipulate, and evaluate your data? Building on our 55+ years of transportation experience, SRF specializes in processing vast  data sets to aid with system monitoring or glean insights that are location specific to help make planning and programming decisions. We can help our clients use untapped data  to optimize functions, provide better service, and conserve resources with the following product lines and services:


Product Lines and Service

Performance Measures

Whether the need is to derive answers to MAP 21 performance measures or the creative development of measures to demonstrate the value of a client’s new system performance monitoring and funding planning methods, SRF’s Transportation Analytics team is adept at transforming available data into meaningful content. A range of performance measures can be developed throughout a project; SRF supports our clients to develop new measures to:

  • Perform system monitoring.
  • Prioritize potential project locations.
  • Develop solutions.
  • Evaluate benefits and alternatives.
  •  Meet required reporting criteria.

The most critical element for a transportation performance measure is bridging the divide between what users experience on the facility or system and providing the insight owners need to manage it. [Read More]

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Travel Time Reliability

Our Transportation Analytics team is on the leading edge of the reliability practice, which is a trending performance measure for planning and programming decision making. As transportation professionals, we tend to approach problems and our analysis by looking at what is typical, or average. However, these “average” conditions aren’t representative of user perceptions. Often, users remember the trip where something unexpected occurred. Inclusion of these outlier conditions in transportation analysis is imperative: they often contribute up to 50 percent of the delay on a corridor and can be 100 percent of delay on corridors that experience no daily commuter congestion. [Read More]

Reliability analysis products are also effective in creating a sense of trust in transportation analysis from the general public, as it is often  more relatable than performance measures like level-of-service (LOS). Generating trust with constituents is a critical step to building consensus among stakeholders to ensure a smooth project delivery. SRF’s skills in the reliability field include:

  • Data collection – Often, the amount of data required to synergize travel time information with nonrecurring conditions (crash, incident, weather, event, or work zone) can be a daunting undertaking.
  • Managing large data sets – SRF has developed a streamlined system based on SHRP2 state of the practice guidance for managing and merging travel time and nonrecurring condition data sets that can span many years’ worth of data.
  • Reliability analysis – Once data sets are emerged, SRF’s analytics team can manipulate the data to develop performance measures (including MAP 21) and meaningful visualizations that can be used for project meetings, study outreach, performance monitoring, and system planning.

Featured Projects:


Mobile Travel Pattern Analysis

Some questions are asked on nearly every transportation project:

  • Who is using this facility?
  • Where are they coming from?
  • Where are they trying to go?
  • How are they getting there?

Typically, transportation professionals have some general knowledge of how to answer these questions, or license plate collection can be used in combination with models that contain census type social/economic data to provide rough answers to these questions. Recently, there has been a significant increase in providers supplying Bluetooth and GPS data, and the increase in data accuracy and fidelity is piquing the interest of transportation professionals. SRF can answer many questions that a traditional license plate or survey study cannot using anonymous mobile device data. This big data can be used to evaluate a larger area, help identify which route specific origin-destination combinations are used, and evaluate trip attributes and patterns for autos and trucks, as well as time-of-day and day- of-week variations. Findings from origin-destination analyses can be used to develop a robust Purpose and Need statement that can guide a study or project to determine a vision.  A concrete understanding of corridor use is critical in determining the need for future improvements along the corridor, making sure improvements are right sized and make contextual sense. Reinforcing those needs with ground truth data allows clients to create a sound sense of trust, build buy-in, and reach consensus with constituents. [top]

Greenhouse Gas Emissions and Air Quality

SRF is experienced in completing the air quality analysis required by federal regulations and has creatively incorporated vehicle emissions into benefit-cost analyses so that clients can make decisions based on more holistic data. [top] 

Benefit-Cost Analysis (BCA)

SRF educates clients on the state of the BCA practice and develops detailed documentation of analysis assumptions to build credibility with stakeholders and funding decision-makers regarding project viability. SRF has also focused on including sources of nonrecurring congestion, travel time reliability, and greenhouse gas emissions as inputs to a project’s contribution to reducing user travel costs.

Our experience includes completing dozens of BCAs for environmental processes, developing custom tools for system evaluation including nonrecurring conditions, alternative analysis for corridor studies, spot improvements for system planning, and successful completion of local and federal grant applications – helping clients meet funding gaps to get projects in the ground.

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Custom Tool Development

SRF understands that client needs, available data sources, and regulations are frequently changing. Our team of engineers and technical specialists are adept at developing tools to meet these needs and overcome challenges. From reliability and delay computational engines to graphical user interfaces to harness free data sets, SRF engages with clients to cost-effectively find solutions.

Recent custom solutions have included:

  • Predictive travel time reliability tools
  • Comprehensive benefit-cost tools for transportation projects
  • GPS travel time processing to produce mobility and reliability performance measures
  • Origin-destination data processing and visualization
  • Roadway improvement mapping and stakeholder feedback collection
  • Crash data analysis and hot-spot identification
  • Visualization and prioritization of highway problem locations

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