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Blue Signal

Smart traffic predictive technology that forecasts the future of flow with an AI-based algorithm.

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Blue Signal is an analysis and modeling software technology that receives data from various sources such as real-time traffic information, weather conditions, road infrastructure, actual vehicles on the road, and then leverages a proprietary artificial intelligence and machine learning engine to predict future traffic conditions. 

The company has 3 solutions that it is offering as products, each targeting three unique sectors or application. The solutions include the following:

  1. Safe Driving Advisor - assists drivers by providing multiple route possibilities in real-time based on safety information and risk levels in a given traffic situation.

  2. Predictive Congestion - predict future traffic conditions from 2 min to 6 hours in advance.

  3. Signal Optimizer - leverages traffic data and predictions to optimize signal light timing.

Describe who will use your solution (1,000 characters)

Detailed instructions on how Blue Signal would work in a smart city.

Describe your solution's stage of development

  • Fully Scaled - you have already scaled your solution and are exploring new use cases

Insights from previous testing (500 characters)

Technology is currently being used in three cities that include Daejeon, in S. Korea with two other cities in China that have also implemented the technology.

Tell us about your team or organization (500 characters)

There are 14 team members and one in Hong Kong with another company representative in the US.

Size of your team or organization

  • 11-50

Team or Organization URL

https://www.bluesignal.co.kr

Funding Request

  • $100,000

Rough budget (500 characters)

Licensing for a pilot would be $50,000. Engineering it for city-wide adoption $50,000.

Describe how you would pilot your idea (1000 characters)

Fly engineers to the US to implement it with the city of Austin infrastructure system. BlueSignal's "Predictive Driving" technology analyzes the data collected from various sources such as real-time traffic, vehicles, and road infrastructure, and it predicts the future traffic conditions based on its unique machine learning and artificial intelligence engine. The engine based on the big data analysis with traffic engineering elements can generate appropriate solutions for reducing traffic congestion and accidents, and it has a high prediction accuracy of 94%.

Describe how you would measure the success of your pilot (1000 characters)

Blue Signal has an AI-based signal interval control solution based on future traffic predictions. The solution is already working in China and Korean cities with evidence of the effects the technology have had in these cities. This is a part of the smart city traffic solution that can analyze the historical traffic data already collected and increase traffic speed while reducing traffic congestion by control of signal direction intervals. It is a technology that adjusts the signal interval for each direction by predicting the future traffic volume enabling effective traffic flow.

Sustainability Plan (500 characters)

If the test area becomes more effective, the traffic data analysis can be extended to larger areas and the overall traffic signal interval adjusted. This would be the proposed method of a future development plan for the technology in Austin.

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