Analyze traffic conditions and events with sound processing

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Abstract

Traffic monitoring is a quiddity to understand occurrence of road transportation, for example, route decision in each festival, driving behavior, passerby quantity, traffic density and road contamination from road traffic, especially the accidents. Accident randomly happen in anytime and it dominates the high portion cause of death in each year. Accident is a cause of traffic jam. The assistance may come lately because no one cannot be noticed this event immediately. The traffic monitoring by applying sound analysis processing for accident sound with Convolutional Neural Network (CNNs) can significantly improve efficiency of traffic monitoring.

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Accident monitoring, Convolutional Neural Network, Deep learning, Sound processing, Traffic

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International Conference on Control Automation and Systems, 2020-October, 344-349, 2020

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