Bring measures together
Import simple CSV files for speeds, demand volumes, output trips, travel times, weather severities, and incident crashes.
AI-based traffic data fusion, visualization, and analysis
See traffic data
in every dimension.
Bring locations, times, and days into one analytical view. Explore traffic performance alongside demand, weather, and incidents.
Free to download and use · Windows desktop application
A shared view of your data
Many sources. One consistent framework.
For traffic engineers, transportation agencies, researchers, and consultants who need to understand how conditions change across space and time.
Explore in 2D and 3D
Inspect heat maps and cube views. Move between measures using shared location, time, and date or simulation-seed dimensions.
Make patterns visible
Use basic statistics, congestion episode screening, clustering, and representative-day analysis to examine operating conditions.
Where TrafficCube fits
A practical bridge from traffic data to analysis.
TrafficCube complements established traffic modeling tools, large commercial online analytics platforms, and agency-hosted data environments.
Those larger platforms can provide integrated data feeds, enterprise workflows, and ongoing network management. TrafficCube offers a lightweight desktop environment for focused studies: organizing multisource data, inspecting patterns, and applying repeatable analytical methods across locations, time intervals, days, and simulation runs.
Its niche is to make spatiotemporal analysis more accessible to agencies, consultants, and researchers, while providing a practical setting to examine and test methods that could later be incorporated into larger systems.
Planning
Understand conditions.
Define the study.
Data analytics tools like TrafficCube can help analysts understand traffic network conditions and define spatiotemporal analysis limits: the roadway extent, times of day, and operating conditions that a study should capture.
Design
Check models.
Strengthen confidence.
Use structured observed and simulated data to support verification, calibration, and validation (VC&V) of traffic modeling tools. Examine where model results agree with field conditions and where further investigation or adjustment is needed.
Operations & maintenance
Evaluate changes.
Track performance.
Data analytics can support before-and-after analysis of transportation investments and system monitoring over time. Compare similar operating conditions, examine localized effects, and identify changes that warrant closer attention.
These roles describe the broader value of data analytics across the project lifecycle. TrafficCube’s available functions and planned developments are described separately below; automated real-time monitoring is a future application.
From observations to understanding
Follow congestion across locations and time.
Examine speed and travel-time patterns alongside potential contributing conditions. Look for upstream effects and congestion that persists into later intervals.
Start with the included two-week demonstration data, then explore optional full-year datasets. The synthetic examples provide a controlled environment for learning the workflow.
Explore full-year sample data ↗Traffic Analysis Toolbox Volume 3
Connect visual exploration with structured analysis.
TrafficCube supports a workflow from multisource data preparation to clustering, representative-day selection, and variation and calibration envelopes.
Compare observed and simulated traffic measures within a consistent analytical framework. Use the results to guide further investigation and calibration decisions.
An evolving implementation: review the technical paper and release information for scope and limitations.
Get started
Open the demo. Explore your own data.
The application runs on your Windows computer. GitHub hosts the software downloads, sample datasets, and release instructions.
01 / DOWNLOAD
Get the application
Open the software release page and download TrafficCube.zip. Check the release instructions for installation details.
02 / EXTRACT & RUN
Launch TrafficCube
Before extracting, right-click the ZIP and choose Properties → Unblock, if shown. Extract it and run TrafficCube.Desktop.exe.
03 / EXPLORE
Load the sample CSVs
Choose Open in TrafficCube and select one or several demo files. Use the examples to prepare your own CSV datasets.
Software release linked in this draft: October 11, 2026.
Resources & development
Learn more. Help shape what comes next.
Read the technical paper
Explore TrafficCube’s data structure, analytical approach, example applications, and development vision.
October 2026 technical paper ↗Questions or feedback?
Bug reports, feature requests, sample datasets, and technical assistance requests are welcome.
Contact David Hale ↗On the roadmap
Planned work includes similarity searches, contributing-factor analysis, machine learning, short-term prediction, and AI-assisted traffic analysis insights. These are development directions, rather than a list of available features.
Follow development on GitHub ↗