NoTraffic Raised $3.2M for IoT-based Traffic Optimization

17 December, 2018

NoTraffic collect information through V2I communication and smart vision sensors deployed at traffic light-controlled intersections and conflict points on the road, and creates safety warnings

NoTraffic from Tel Aviv has completed a $3.2M seed funding round, led by Lool ventures with participation of Next Gear Ventures, North First Ventures and the private investors Tal Recanati and Uri Rubin. The funds will be used to further invest in R&D, commercial roll out in the US and to recruit additional employees in Israel and the US.

The company has developed an advanced IoT platform for traffic management in urban environments, based on the integration of information collected through communication between vehicles and infrastructure (V2I) and information from smart vision sensors deployed at traffic light-controlled intersections and conflict points on the road.

The system employs advanced Artificial Intelligence (AI) algorithms to identify, categorize and track all road users: cars, buses, cyclists, electric scooters and pedestrians, and predicting their time of arrival at an intersection. It sends warnings to the drivers before they enter into a dangerous situations, and also helps to optimize traffic flow in real time, by adjusting traffic lights operation.

Video: How NoTraffic system works:


Although NoTraffic is a newcomer, it was founded in 2017 by CTO Uriel Katz, VP R&D Or Sela and CEO Tal Kreisler, the companyit has already started pilot projects for its technology. The financing round follows a recent live pilots in California, and in the upcoming months will be deployed in several other location in the USA.

In June 2018, NoTraffic successfully completed an experiment in cooperation with Foresight Autonomous Holdings Ltd. The experiment demonstrated accident prevention through real- time communication between vehicles and road infrastructures, inter alia in order to prevent accidents similar to the accidents involving Google and Uber autonomous vehicles in the US. Specifically, the trial demonstrated the benefits of vehicle to infrastructure communications, whereby vehicles were able to access data on both vehicles and pedestrians outside of the vehicle’s own line of sight, preventing collisions with both vehicles and pedestrians.

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