The objective of this project was to develop and evaluate new traffic signal control algorithms u... more The objective of this project was to develop and evaluate new traffic signal control algorithms using the new data made available in an IntelliDrive SM environment. The project was organized into five tasks:
This paper presents an innovative traffic signal control algorithm, the IntelliGreen Algorithm (I... more This paper presents an innovative traffic signal control algorithm, the IntelliGreen Algorithm (IGA), that utilizes IntelliDrive technologies to improve the efficacy of traffic signals. The IGA is fully decentralized and takes a novel approach to traffic signal control using k-means clustering. 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.
The objective of this project was to develop and evaluate new traffic signal control algorithms u... more The objective of this project was to develop and evaluate new traffic signal control algorithms using the new data made available in an IntelliDrive SM environment. The project was organized into five tasks:
This paper presents an innovative traffic signal control algorithm, the IntelliGreen Algorithm (I... more This paper presents an innovative traffic signal control algorithm, the IntelliGreen Algorithm (IGA), that utilizes IntelliDrive technologies to improve the efficacy of traffic signals. The IGA is fully decentralized and takes a novel approach to traffic signal control using k-means clustering. 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.
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Papers by Jay Datesh