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Extraction of Spatial Parameters from LiDAR Data and Aerial Photography for Noise Modelling

Extraction of Spatial Parameters from LiDAR Data and Aerial Photography for Noise Modelling
从 LiDAR 数据和航空摄影中提取空间参数以进行噪声建模
批准号:
521863-2017
负责人:
ElBasyouny, Karim
金额:
$1.82万
依托单位:
依托单位国家:
加拿大
项目类别:
Engage Grants Program
财政年份:
2017
资助国家:
加拿大
项目状态:
已结题
起止时间:
2017-01-01 至 2018-12-31

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英文摘要
Through the application of the Federal Highway Administration's Traffic Noise Model (FHWA TNM), GannettFleming Inc. has been providing traffic noise management solutions for several years. TNM requires accuratelysurveyed regions around transportation infrastructure installations to conduct traffic noise studies. After severaldiscussions between Gannett Fleming Inc. and the researchers at the University of Alberta (UofA), GannettFleming Inc. decided to partner with the UofA LiDAR team to improve their noise modelling procedure. Thisproject will improve the accuracy of noise modelling by applying aerial LiDAR for spatial scanning near majortransportation infrastructure. With the continued economic expansion and urban densification in Canada, trafficnoise modelling is crucial to maintaining the quality of life of residents near downtown streets, arterialcorridors, and Light Rail Train installations.
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