Currux Vision Announces Industry Leading Accuracy of AI Smart City Traffic Platform Testing

By AIT News Desk On Dec 24, 2020

Currux Vision Smart City Intelligent Traffic Management Platform (“SmartCity ITS”) uses Artificial Intelligence (“AI”) at the edge to rapidly optimize traffic management. Offering industry leading traffic monitoring the Currux Vision Platform provides the big data, autonomous traffic management, and faster response to incidents to help predict and improve traffic flow, safety, and reduce congestion and pollution

Currux Vision LLC, the innovative, infra-tech AI and machine learning solutions company released test results with the Department of Transportation of the City of San José, California. San José, recently named the Most Innovative City in the U.S., utilized the fully integrated, AI-based SmartCity ITS for city intersections and roadways. This innovative, cost-effective platform accurately monitors traffic, and provides information that can potentially prevent or reduce congestion and accidents, creating safer roads for drivers, cyclists, and pedestrians around the clock.

Comprehensive AI Traffic and Safety Solutions for Municipalities, DOTs, Toll Road Operators or Private Communities & Commercial Properties

The San José Department of Transportation and Currux Vision are focused on creating a safer and smarter city. Currux Vision’s SmartCity ITS continues to deliver one of the most comprehensive autonomous traffic management platforms including basic and advanced traffic management, big data collection, and analytics, and real-time alerts. SmartCity ITS includes a wide range of Vision Zero initiatives including vehicular (roadway and intersection), pedestrian, and bicycle associated near miss detection, and autonomous real-time prediction of hazardous traffic conditions, such as wrong way driver, stopped vehicles, speeding, running red lights and stop signs, parking infringements, etc. The combination of these capabilities provides cities with a single, accurate solution to improve residents’ quality of life and optimally allocate increasingly scarce resources.

The extensive tests with the San José Department of Transportation at key intersections confirmed that Currux Vision can operate with an up to 99% accuracy averaged under various conditions including day and night, rain, camera vibrations and even partial camera view obstruction. Moreover, Currux Vision can achieve high resolution results with older legacy digital and analog camera systems that offer lower resolution. Testing included but was not limited to vehicle detection and classification, turning movement counts, pedestrian counts, bicycle discrimination, stopped vehicles, and speeding.

Focused on Wide-Scale Adoption of Autonomous AI Systems at the Edge

“Increasing urbanization, traffic, mode shift, and increasing focus on safety drive the urgent need for a next-generation traffic management solution like our SmartCity ITS. We believe that efficient mobility and being able to do more with less creates economic opportunities, enables trade, improves quality of life, and facilitates access to markets and services effectively leveraging resources. We designed our SmartCity ITS to significantly accelerate wide-scale adoption of autonomous AI capabilities by cities, DOTs and private infrastructure developers both in the U.S. and internationally. We are happy to have worked with a great partner like San José’s Department of Transportation to prove these transportation solutions.” Alex Colosivschi, Founder and CEO of Currux Vision

“Testing this leading-edge technology is a step in implementing the City of San José Smart City Vision – using game-changing technologies and data-driven decision-making which will drive continuous improvement in how we serve our community, and to promote concrete benefits in safety, sustainability, economic opportunity, and quality of life for our residents. We look forward to seeing reduced traffic congestion and accidents with connected infrastructure, real time big data analytics and alerts, and machine learning that can power next-generation traffic systems, reduce emissions, identify high-accident intersections, and allow us to better target mitigation efforts.” Ho Nguyen, ITS Manager, City of San José

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