Foresight successfully completed trial of Cellular-Based Eye-Net™ Solution

Foresight Autonomous Holdings, an automotive vision systems, and V2X (vehicle to everything) cellular-based solutions, has announced that in collaboration with the city of Ashdod and NoTraffic Ltd., it has successfully completed a controlled trial of its Eye-Net accident prevention solution.

Eye-Net is a V2X cellular-based accident prevention solution, designed to provide pre-collision alerts in real time to pedestrians and vehicles by using smartphones and relying on existing cellular networks.

The trial was conducted at a central intersection in Ashdod, a city in the center of Israel, and was carried out in collaboration with NoTraffic, which develops traffic management systems for cities based on a network of sensors deployed at intersections with traffic lights.

The purpose of the trial was to integrate innovative technologies designed for smart cities, while creating a reliable communication channel between road users and smart infrastructure. During the trial, Foresight tested its Eye-Net system in various scenarios and integrated it with the NoTraffic smart system installed at the intersection.

In the first part of the trial, several accident-simulated scenarios including vehicles and/or a pedestrian were performed. In all cases, the parties were using the Eye-Net™ application installed on their cellular phones and received real-time alerts in order to prevent a collision.

The second part of the trial tested the integration of the Eye-Net™ system with NoTraffic’s smart infrastructure system in accident-simulated scenarios where only one of the vehicles involved was connected to the Eye-Net™ system. NoTraffic’s system, which was installed at the intersection, identified the non-connected driver or pedestrian using a smart sensor, and transmitted the information to the driver using the Eye-Net™ system, in order to prevent a collision.

In all scenarios, Foresight met all the pre-defined objectives and indicators for the real-time use of the Eye-Net system in a manner that enabled all road users to brake safely and on time. During the trial, the information was streamed in real time to the control center onsite and displayed the location and time of occurrence of the simulated collisions on a map, as well as the classification of the road users involved.

Supervision was provided by BWR (Blue and White Robotics) as part of the Ashdod Smart Mobility Living Lab project, and the trial was carried out with the support of the Ministry of Transport and the Ayalon Highway company as part of the national plan to promote smart transportation.

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