Urban road traffic noise spatiotemporal distribution mapping using multisource data
| Autor: | Ming Cai, Canming He, Ziqin Lan |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
050210 logistics & transportation
Computer science 020209 energy 05 social sciences Noise map Traffic noise Transportation 02 engineering and technology Urban road Traffic flow computer.software_genre Distribution (mathematics) 0502 economics and business 0202 electrical engineering electronic engineering information engineering Range (statistics) Anomaly detection Data mining computer Noise (radio) General Environmental Science Civil and Structural Engineering |
| Zdroj: | Transportation Research Part D: Transport and Environment. 82:102323 |
| ISSN: | 1361-9209 |
| DOI: | 10.1016/j.trd.2020.102323 |
| Popis: | Many residents are disturbed by road traffic noise which needs to be controlled and managed. The noise map is a helpful and important tool for noise management and acoustical planning in urban areas. However, the static noise map is not sufficient for evaluating noise annoyance at different temporal periods. It is necessary to develop the dynamic noise map or the noise spatiotemporal distribution. In this study, a method about urban road traffic noise spatiotemporal distribution mapping is proposed to obtain the representative road traffic noise maps of different periods. This method relies on the proposed noise spatiotemporal distribution model with two time-dependent variables - traffic density and traffic speed, and the spatiotemporal characteristics derived from multisource data. There are three steps in the method. First, the urban road traffic noise spatiotemporal distribution model is derived from the law of sound propagation. Then, the temporal characteristics are extracted from traffic flow detecting data and E-map road segment speed data by the outlier detection analysis. Finally, the noise distributions corresponding to different periods are calculated by an efficient algorithm which can save 90% above of the computing time. Moreover, a validation experiment was conducted to evaluate the accuracy of the proposed method. There is only 2.26-dB[A] mean absolute error that is within an acceptable range, which shows that the method is effective. |
| Databáze: | OpenAIRE |
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