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OpenPaths Patterns

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OpenPaths Patterns

Mobility Data and Analytics

What is OpenPaths Patterns?

OpenPaths Patterns is a web-based mobility data and analytics application for transportation analysts to harness the power of big-data for better decision-making. With OpenPaths Patterns, you can mine travel mobility data to understand where, when, and how people travel anywhere in the United States.

OpenPaths Patterns makes transportation planning and traffic engineering analyses fast and efficient. It enables agencies to directly analyze and comprehend mobility data, while also facilitating data exports for further external analysis via travel demand models, traffic simulations, or other mobility analysis tools.

OpenPaths Patterns has a broad range of use cases, including:

  • Travel demand modeling and calibration
  • Corridor studies
  • Highway performance management
  • VMT calculations
  • Traffic simulation
  • Traffic impact studies
  • Tollway usage
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    OpenPaths Patterns

    Key Features

    • Access maps and data from any web browser
    • Run analytics such as select-link and corridor analysis
    • Generate subarea data extracts
    • Import custom zone systems
    • Identify and export data

    Key Features

    OpenPaths map visualization with data points elegantly connected by lines, surrounded by various charts and patterns, offers insightful data filters on a streamlined dashboard interface.
    Interactive Maps

    Inspect and filter origin-destination travel flows and traffic volumes across multiple dimensions, such as trip purpose, time of day, and day type.

    OpenPaths presents a digital map displaying flight patterns with highlighted routes and destination points. Side panels showcase filter options and data charts, offering an insightful view into global travel trends.
    Datasets
    Create subarea data extracts, including travel flows between external gates. Datasets provide the fundamental data needed to quickly produce a subarea travel demand model.
    The Map interface integrates OpenPaths, displaying location points and data segments with various grouped markers on a city grid layout. Patterns are easily discernible, while options for filters and configurations are conveniently placed on the left and right panels.
    Advanced Analytics

    Compute mobility analytics to answer the most common transportation and traffic engineering questions including select-link and select-zone analysis, corridor discovery and road VMT statistics. 

    Screenshot of a New Export window from OpenPaths Patterns software, displaying export options for vehicle data and zoning levels, along with various filters. The interface features a dynamic map in the background, seamlessly integrating Patterns for enhanced visualization and analysis.
    Easy Exports

    Save data for local use in standard text and GIS formats using easy-to-use export tools.

    A data quality analysis chart features a scatter plot comparing average AADT to observed traffic counts, revealing intriguing patterns. Accompanied by a table, it displays metrics such as R^2, RMSE, and MAPE for various AADT groups using OpenPaths' insights.
    Improved Transparency

    Ensure confidence and context for your decision-making with clear data quality reports, including the most common goodness of fit statistics for your region.



    A digital map showing traffic data with highlighted routes in shades of blue. A sidebar displays filters and trip details for James Robertson Parkway with an average of 2,702 daily trips.
    Data-driven planning

    OpenPaths Patterns provides intuitive access to nationwide movement data in the form of current and historic traffic volumes, origin/destination data, and trips by purpose and day of week and time of day.

    • Data-driven: Detailed insights into traffic patterns on the fly, supporting evidence-based decision-making for transportation planning, infrastructure investment, and policy development.
    • Time- and location-based: Data visualization and analysis tools enable planners to gain a comprehensive look into how and where people are traveling. Access to movement data throughout and across regions and for specific time periods allows planners to quickly isolate, understand, and quantify infrastructure demand.
    • Enhanced efficiency: Provides instant access to data, avoids costly data collection and processing, and delivers readily consumable data to analysts, travel modelers, and GIS practitioners.

    How OpenPaths Patterns Works

    OpenPaths Patterns translates the movement of billions of GPS readings from anonymized mobile devices into logical travel patterns. The data is then aggregated, processed, and scaled using a wide range of additional data sources which are indicators or measures of human activity, such as population, household demographics, traffic counts, special trip generators, and travel behavior surveys. The result is a representative dataset of vehicle trips, traffic volumes, and travel routes, which include important data attributes. A web application makes working with large amounts of movement data practical.
    A map displaying vehicle charging station density in Sacramento. Color gradients reveal patterns of intensity, with OpenPaths controls for filters and overlays on the left panel.

    User Quote

    FAQs

    No! OpenPaths Patterns runs in your web browser with a growing set of native mobility analytics tools, and provides exportable data which can be ingested into other modeling or analysis frameworks.

    OpenPaths Patterns provides origin-destination (O-D) movements, traffic volumes, and travel routes throughout the United States, as well as tools to query and filter the data to understand daily travel patterns. Data is available for 2019, 2022, and 2023, with planned ongoing data releases.

    OpenPaths Patterns supports modeling workflows by providing data about the magnitude, purpose, time of day, and location of travel to support model calibration, validation and related workflows. The data is also a good source of external movements, including internal-external, external-internal, and external-external travel. OpenPaths Patterns provides data to support the following model workflows*:
    • Validate existing models using OpenPaths Patterns traffic volumes
    • Use OpenPaths Patterns O-D data as base-year traffic demand matrices
    • Assign base-year O-D traffic demand
    • Calibrate models using O-D traffic demand and volumes**
    • Use O-D traffic demand matrices for matrix adjustment/estimation (ODME) procedures
    * All of the above capabilities are possible with OpenPaths or suitable third-party multimodal transport planning software. **Automated model calibration capabilities are available with OpenPaths Ultimate.

    Let's Talk About OpenPaths Patterns Today

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