Using k-means clustering to improve traffic signal efficacy in an IntelliDriveSM environment

This paper presents an innovative traffic signal control algorithm, the IntelliGreen Algorithm (IGA), that utilizes IntelliDrive^SM technologies to improve the efficacy of traffic signals. The IGA takes a novel approach to traffic signal control using k-means clustering and is fully decentralized. A VISSIM model of a real-world arterial was used to evaluate the IGA and its performance was compared to that of an actuated timing plan. The IGA consistently improved traffic mobility, and sustainability as volumes increased, even at lower IntelliDrive market penetration levels. The results demonstrate the power of IntelliDrive data and that decentralized traffic signal control can achieve system-wide benefits at lower computational costs.