Traffic congestion at intersections is a persistent problem for growing urban areas. When a traffic signal remains on a fixed cycle, traffic can quickly back up from lanes with more demand at peak times, creating havoc, increased commute times, loss of productivity and excess fuel consumption.
Millions of “smart” intersections across the U.S. are automated to detect the presence of vehicles and provide traffic signal control systems with information that determines signal sequencing. The majority of these systems use outdated technology and have limited capabilities. These systems typically use cameras or ground loop sensors to detect the presence of a vehicle and provide an analog (closed contact) signal to the signal controller to change the traffic light sequence accordingly. While they are mostly reliable, they are costly, offer minimal capabilities and are not flexible platforms for expansion.
GovComm’s AI based Presence Detection System for Intersections offers significant improvements for intersection management. Utilizing cameras and GovComm’s AI software, it can better detect and report more presence variables and communicate over the local IP network to an IP controller for better traffic management. For legacy traffic controllers, GovComm offers and an IP / analog interface.
In contrast to legacy systems, GovComm’s technology can detect one, two or more separate vehicles in a lane and provide a variety of alerts to the controller to adjust the signal based on the quantity of traffic waiting. For, example, if the system detects five vehicles waiting to turn left versus two vehicles waiting to turn, the controller can instantly adjust the light to permit the flow of traffic based on the number of cars. Loop sensors, which are expensive to install, are typically limited to detecting the presence of one or two vehicles in any signal lane. Further, analog controllers can provide a limited number of alarms, which is fixed. Whereas GovComm’s IP application can provide an unlimited number of alerts for each unique presence condition, supercharging the controller’s ability to manage traffic autonomously.
GovComm’s AI technology also exceeds legacy system capabilities for mid-block deployments by classifying the type of vehicle detected, determining the speed of the vehicle approaching the intersection and providing vehicle counts and traffic data. Mid-block speed calculations can be used to improve intersection safety as the controller can react to approaching vehicles to adjust light sequences until a vehicle has safely passed. GovComm’s system can also detect the presence of pedestrians and cyclists in cross walks for improved safety. And since GovComm’s systems are capable of learning, each installation can be configured to provide responsive detection within its unique environment.