Free Traffic Data Analysis
The Intelligent Mobility Meter project provides free traffic data analysis to selected organizations
The IMM project analyzes video data from temporary installations to compute:
Light and heavy vehicle counts on road or intersection (including all turns).
Bicycle counts on road, dedicated lane or sidewalk.
Pedestrian counts on sidewalk or ped crossing.
Pedestrian average wait time to cross an intersection.
Please fill out the contact form to get started. After reviewing your use case, we will get back to you with login credentials and further instructions
How it works
Your organization collects traffic videos and uploads them to the IMM platform
The video data is automatically processed by the IMM computer vision algorithms. All counts are verified by a human
You will be notified that your data has been processed and can log in to the IMM platform to download your report(s)
PLease fill out the contact form to get started.
Frequently Asked Questions
I believe my organization qualifies for the free data analysis, what's next?
Please fill out the registration questionnaire to get started.
My organization does not have video recording equipment. Can you help?
Yes. We have a limited number of video recording equipment that we can loan to organizations. We can also help advise your organization if you are interested in purchasing your own video recording equipment.
My organization qualifies for the free data analysis. Does this guarantee that you will process my data?
In very specific cases (e.g. extremely large volume of data, poor quality video, atypical traffic conditions such as crowds, etc.) we may not be able to process your data. We also may not be able to accommodate your turn-around time.
Can you create a traffic study based on the counts compiled?
No. Unfortunately we do not have the resources to produce traffic studies.
Can you analyze streaming video from a fixed location?
The IMM data pipeline is geared towards analyzing data from temporary installations to address specific points of concern. In general, we do not possess the resources to analyze streaming data on an ongoing basis. However, you are still welcome to discuss your use case with us and we may be able to help and / or point you to additional resources.
I have data from non-video sensors. Can you analyze it?
Not at this time, but we are evaluating adding such capabilities to our data processing pipeline. Please get in touch and let us know your use case.
I am part of a for-profit organization or traffic engineering firm. Can you still analyze my data?
In most cases we will not be able to analyze your data for free. Feel free to get in touch to discuss.
Who should I thank for the IMM?
The IMM project was only possible due to the help of many people throughout the years. In alphabetical order: Bernardo Pires, Chris Kaffine, Jian (Michael) Gong, John Kozar, Luyao (Charles) Hou, Mehmet Kocamaz, Reid Yesson, Spencer Yu, Tyler Kohman, and Shreyank Ranganath. Also many thanks to all the IMM data labelers.
About the Intelligent Mobility Meter Project
The Intelligent Mobility Project is hosted by the Robotics Institute at Carnegie Mellon University. It has been developed under a number of research projects lead by Dr. Bernardo Pires. It started as a bike and pedestrian counter on the UTC-supported project "Automatic Counting of Pedestrians and Cyclists". The project "Measuring Pedestrian Wait-Time at Intersections" expanded the IMM's capabilities to include wait-time measurements. Finally the project "The Intelligent Mobility Meter - Portable Fine-Grained Data Collection and Analysis of Pedestrian, Cyclist, and Motor Vehicle Traffic" consolidated the IMM's competences into a single framework and introduced motor vehicle counting.