AI Innovation Challenge Predicting Short-Term Traffic Flow Congestion on Urban Motorway Networks
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Predicting Short-Term Traffic Flow Congestion on Urban Motorway Networks

Challenge Start: Dec 7th

Help to get API traffic image data for a city in Europe or North America and improve the predictive algorithm for short-term traffic flow congestion on urban motorway networks.

In this 8-week challenge, you will join a collaborative team of 50 AI engineers.


The problem

The Smart-Traffic system for real-time traffic prediction has in place a method for predicting congested road-vehicles traffic on a given roadway within a region.

In particular, the computer implemented method utilizes real-time traffic images from traffic cameras for the input of data and utilizes computer processing and machine learning to model a predictive level of congestion within a category of low congestion, medium congestion, or high congestion. By implementing machine learning in the comparison of exemplary images and administrator review, the computer processing system and method steps can predict a more efficient real-time congestion prediction over time.



The project goals

The project goals can be divided into two phases: 

1. Getting API traffic image data for a new city in Europe or North America or implementing an end-to-end solution. 

2. Improving the model predictive accuracy by eliminating noise e.g trees, dual lanes, etc. in terms of camera object focus.


The podcast related to the traffic problem



Why join? The uniqueness of Omdena Innovation Challenges

A collaborative experience you never had in your working life! For the next eight weeks, you will build AI solutions to make a real-world impact and go through an entire data science project lifecycle. This covers problem scoping, data collection, preparation, and modeling for deployment.

And the best part is that you will join a global and collaborative team of changemakers. Omdena AI Innovation Challenges are not a competition or hackathon but a real-world project that will take your experience of what is possible through collaboration to a new level.

More information


This challenge is hosted with our friends at

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More benefits
  • Good English
  • A very good grasp in computer science and/or mathematics
  • Student, (aspiring) data scientist, (senior) ML engineer, data engineer, or domain expert (no need for AI expertise)
  • Programming experience with Python
  • Understanding of Machine Learning and/or Computer Vision
Your Benefits
  • Address a significant real-world problem with your skills
  • Get hired at top companies by building your Omdena project portfolio (via certificates, references, etc.)
  • Access paid projects, speaking gigs, and writing opportunities
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