ROGERS SMART TRAFFIC
Smart AI solution for tough traffic problems
Improve road safety and reduce traffic congestion with always-connected, AI-powered signal infrastructure.
Optimize traffic flow in real time
Traffic congestion challenges nearly every municipality. While urban and suburban roadways have grown, traffic management practises haven't kept pace with 21st Century innovations. Majority of traffic intersections are treated as single nodes on an un-managed network, running on fixed timing programs. These are manually measured and re-timed every three or more years. In most municipalities, signal infrastructure has changed little in decades, with fewer than 25% of traffic signals even connected to a network.
Rogers Smart Traffic is an AI-powered traffic signal solution that connects road users to the city grid. It digitizes urban intersections to help municipal agencies improve the safety of road users while increasing the efficient flow of traffic. Using data from multiple sources, including cameras and radar, coupled with AI-based detection and analytics, the platform removes the need to re-time signals to manage traffic variability, while future-proofing cities for the connected and autonomous era.
Smart Cities
Create a better future for your communities with sustainability made smarter.
Key Benefits
Reduce congestion and emissions
Edge based computing optimizes traffic flow by calculating tens of thousands of possible traffic flow scenarios for every roadway user- including motorized vehicles, bicycles and pedestrians—and picking the best one in real- time every second. Rogers Smart Traffic measures delays at every intersection of every roadway user and applies agency-defined policies to serve traffic objectives.
Improve safety at intersections
Automate prioritization for first-responders, public transit, or cyclists, and extend or delay traffic lights to reduce frustration while generating insights about near-misses to develop effective safety countermeasures.
Harness big data analytics
Real-time reporting of traffic conditions with a broad range of elements provides detailed data gathering of key metrics such as arrival on green, delay times, side-street efficiency, traffic equality and more, generating safety reports about speed and red-light violations.
Plug-and-Play AI
Rogers Smart Traffic modernizes and replaces legacy traffic intersection infrastructure. Using a common, highly scalable, light overlay hardware architecture, Smart Traffic integrates with Rogers wireless technology, including 5G, to communicate between intersections and upload data to the cloud-based platform.
Traffic Apps Engine
Installed in the traffic light cabinet and compatible to retrofit all types of existing traffic controllers, the Traffic Apps Engine augments the edge-computing of the AI-based sensors by aggregating and processing sensor data from the entire grid, to monitor safety, calculate variables, and autonomously optimize traffic signals to reduce delay times across the city grid.
AI-Based Sensors
The sensors use computer vision algorithms to identify, classify, and project the behaviour of any type of road user with human eye accuracy. Featuring 99.999% detection accuracy in all weather conditions, the sensors automatically detect incidents, and self-calibrate to eliminate re-alignment or manual updates.
Virtual Management Center (VMC)
The cloud-native user portal serves as the primary system interface for configuration, monitoring and reporting, enabling municipal agencies to define and implement transportation policies for specific intersections and on a city-grid scale. Users select from a variety of user-friendly traffic policy preferences such as prioritizing pedestrians at certain intersections or establishing a public transit corridor along a bus route.
Connected vehicle capabilities (DSRC, C-V2X) integrated directly into the sensor units
Emergency Vehicle Pre-emption (EVP)
Transit Signal Priority (TSP)
Red Light Extension (RLE)
Pedestrian/Bicycle prioritization