NoTraffic U.S. Inc
When: October 28 – November 29, 2024
* Dates are subject to change
Where: Millway Ave & Apple Mill Rd
Ward: 4
Project Partner: City of Vaughan • Public Works –Transportation and Fleet Management Services (MoveSmart)
Smart Traffic System
NoTraffic U.S. Inc has a connected hardware and AI software solution for real-time data and analytics to optimize traffic flow and traffic management.
Data from this study will help potentially identify conditions at this location and provide evidence to help improve traffic safety and efficiency for residents.
Purpose:
Traffic analysis of sensor technology that provides measurements of approaching road users and provides real-time and post analysis safety intervention data.
Expected Outcomes:
- Data to support a traffic calming study
- Evaluation of safety analysis features such as red-light running
Company Description:
NoTraffic U.S Inc is on a mission to digitize the backbone of transportation – our urban intersections, to usher-in true mobility.
The company’s real-time, plug-and-play autonomous traffic management platform uses AI and cloud computing to reinvent how cities run their transport networks.
The NoTraffic platform is an end-to-end hardware and software solution installed at intersections, transforming our roadways to support modern demands. As a result, the NoTraffic platform is surfacing a plethora of benefits and mobility services, bringing order and always-on connectivity to an otherwise not-connected, unmanaged network.
The NoTraffic platform can retrofit any intersection around the world and transform it to be a cloud-connected and fully autonomous in less than 2 hours. Using an innovative SaaS solution that runs on our proprietary hardware we provide support, updates, and upgrades – all over the air. The platform is delivered as a managed service with 24/7/365 monitoring and support.
Backed by some of the leading VCs in the industry, NoTraffic has raised $25.5 million, with offices in Tel Aviv, Palo Alto and Phoenix. The company was founded in 2017 by Tal Kreisler, Uriel Katz and Or Sela.