SONIFICATION OF TRAFFIC FLOW TOWARD DETECTION OF SIGN OF TRAFFIC BREAKDOWN

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  • 車両感知器パルスデータの可聴化による交通状態判別性能の評価

Abstract

<p>In order to realize effective countermeasures for congestion, it is required to detect signs leading to congestion and prevent them. However, although there are many research cases that tried to detect a sign of congestion, its accuracy is not high. This paper examines whether traffic flow analysis by sonification is a new method leading to high congestion prediction. The speed of the two points of the bottleneck part and its upstream part was converted into frequency change and the traffic volume was converted to volume change. In evaluation experiments, it was evaluated whether subjects were able to distinguish audible data of free stream, critical flow, critical flow before congestion, congestion flow. As a result, it turned out that the subject distinguished and impressed the sounds of free flow, critical flow, and congested flow. In addition, it was found that audible data is easier to distinguish traffic flow data immediately before congestion than visualized data.</p>

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