Real Time Macroscopic Traffic Flow Monitoring Using Acceleration Noise
Kijong Eom, Chungwon Lee
Abstract
Kijong Eom, Chungwon Lee
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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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