2009•The Journal of The Korea Institute of Intelligent Transport SystemsRequires access

Real Time Macroscopic Traffic Flow Monitoring Using Acceleration Noise

Kijong Eom, Chungwon Lee

Open publisher page 2 citations

Abstract

The acceleration noise is valuable index to monitor traffic stability. However, the previous study was performed for the acceleration noise of individual vehicle. The consideration of the acceleration noise for vehicle in the network has not been studied yet. This paper proposes a new macroscopic traffic flow monitoring method based on applying network acceleration noise.

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What this paper is about

The acceleration noise is valuable index to monitor traffic stability. However, the previous study was performed for the acceleration noise of individual vehicle. The consideration of the acceleration noise for vehicle in the network has not been studied yet. This paper proposes a new macroscopic traffic flow monitoring method based on applying network acceleration noise.

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OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

The acceleration noise is valuable index to monitor traffic stability. However, the previous study was performed for the acceleration noise of individual vehicle. The consideration of the acceleration noise for vehicle in the network has not been studied yet. This paper proposes a new macroscopic traffic flow monitoring method based on applying network acceleration noise.

Key concepts: Acceleration, Noise (video), Traffic flow (computer networking), Computer science, Traffic noise, Simulation, Engineering, Physics

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