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- W2162018265 abstract "This paper presents an innovative traffic signal control algorithm, the IntelliGreen Algorithm (IGA), that utilizes IntelliDrive <sup xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>SM</sup> 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." @default.
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- W2162018265 date "2011-06-01" @default.
- W2162018265 modified "2023-10-16" @default.
- W2162018265 title "Using k-means clustering to improve traffic signal efficacy in an IntelliDrive<sup>SM</sup> environment" @default.
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- W2162018265 doi "https://doi.org/10.1109/fists.2011.5973659" @default.
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