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Worlds first Autonomous Traffic management platform

Traffic signals that are fully responsive to and optimized for bikes, pedestrians, scooters and other active modes of transportation.

Photo of Ilan Rozenberg
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NoTraffic’s AI platform combines state-of-the-art HW and SW in order to autonomously optimize the traffic flow in RT. Based on advanced AI algorithms, the system automatically changes the lights to optimize flow while maintaining safety and public policy. Using human-eye level detection, NoTraffic understands all objects approaching the intersection.

The system then calculates and customizes signal service for each type of road-user, based on their individual needs, creating a two-way conversation between bikes, pedestrians, scooters and all other vehicle types to cut congestion and reduce accidents.

How will your solution benefit residents, workers, or visitors in the Michigan Central Station impact area? (1,000 characters)

NoTraffic is a turnkey traffic management platform solving today's traffic challenges while preparing roads for the connected era. Deploying the platform transforms any traffic signal into smart infrastructure capable of understanding the complete traffic picture and responding in real time to all road users. Cities define policies like transit priority or bike & pedestrian safety using the cloud dashboard. AI software intelligently implements these policies at each traffic signal in real-time to autonomously manage an entire city grid based on actual demand, customizing service for every type of user to cut congestion, reduce emissions and prevent accidents. • Reduce congestion, accidents, & emissions • Emergency vehicle preemption. • Big data analytics • “Computing on the edge” - seamless installation • DSRC/LTE/5G V2I communication. • Bike, pedestrian, scooter and other vulnerable road-user prioritization.

Describe your solution's stage of development

  • Ready to Scale - you have completed and expanded your pilot and are seeing adoption of your solution by your intended user

Insights from previous testing (500 characters)

Recent studies conducted using the NoTraffic platform, vehicle delay was assessed over a period of 5 months, both before and after optimization. The NoTraffic platform provided between a 35% and 48% reduction in average per-vehicle delay. Report also shows a reduction in red-light violations, strong economic benefits, resulted by reducing the costs of congestion and accidents, and a reduction of around 50 tons in CO2 emissions.

Tell us about your team or organization (500 characters)

Over 80% of NoTraffic employees are R&D, comprised mainly of engineers, AI, computer vision and machine learning. Our advisory board which includes notable university faculty in traffic engineering such as Prof. Nathan Gartner who is the Inventor of the first algorithm for real-time optimization of signalized intersections, along with former members of the USDOT such as the prior deputy director, Victor Mendez. Business operations are headquartered from California.

Size of your team or organization

  • 11-50

Team or Organization URL

Are you submitting as a student team?

  • No

Are you submitting as a team from the Impact Area?

  • No

Funding Request

  • $150,000

Rough Budget (500 characters)

A typical intersection deployment is priced at $25k. For pilot projects, we have some flexibility depending on strategy. In generally, 5-6 intersections work well as this will allow us to demonstrate corridor and progression characteristics as well as individual intersection optimization for bikes and pedestrians.

Describe how you would pilot your idea (1000 characters)

NoTraffic would install equipment at 2-4 intersections, bringing them immediately up to smart-city level. During the 1st, two months pilot phase, our system would observe existing characteristics and create baseline data. During the 2nd phase which extends for two months as well, we would optimize signal operations based on city traffic policies. In this case likely vulnerable road user prioritization. At the conclusion of 4 months, data would be analyzed and performance measured.

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

Working with the city, we develop a set of KPIs that include: Improvement in intersection delay for public transportation, bikes, pedestrians, scooters, etc (measured for each individual road-user, then aggregated). Reduction in near-misses. Reduction in collisions Reductions in vehicle emissions Economic benefit. Other KPIs can be defined by the city or other project partners.

Sustainability Plan (500 characters)

The NoTraffic platform is immediately cost effective and reduces the City’s ITS costs by 59%. In addition to a cost reduction of approximately half of the expense compared to other single-purpose ITS equipment (cell modems, RSUs, EVP, etc), we obviate the need for manual traffic counts, manual signal retiming, data analysis, data communication and storage, and performance evaluations. These are things most cities already spend substantial budgets to obtain and are all included in our software pa

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1 comment

Join the conversation:

Photo of Boratha Tan

Hello Ilan Rozenberg thanks for submitting your proposal! I'm with the facilitation team here at City:One. I do have a few practical questions, as well as overall/generic questions. For NoTraffic, I see from your video that the system interacts with "connected vehicles". How to vehicles become connected with NoTraffic? Would there have to be paid subscriptions? Also, the video depicts live employees monitoring video footage. Does that mean there needs to be staffing involved with viewing live video feed?
For the overall questions, I see that NoTraffic would address the safety of intersections. Would there be ways for NoTraffic to communicate with other forms of mobility, such as buses, scooters, wheelchairs, etc.? Would NoTraffic make more sense in residential neighborhoods, where there could be potentially more instances of speeding, disobeying stop signs, etc.?