Reference number : GC-2017-Q4-00533, amendment number : , agreement type : G, recipient legal name : El-Basyouny, Karim (University of Alberta), recipient country : CA, recipient province : nan, recipient city : Alberta, recipient postal code : nan, program name english : Engage Grants for universities, program name french : Subventions d'engagement partenarial pour les universités, program purpose english : Through the application of the Federal Highway Administration's Traffic Noise Model (FHWA TNM), Gannett_x000D_
Fleming Inc. has been providing traffic noise management solutions for several years. TNM requires accurately_x000D_
surveyed regions around transportation infrastructure installations to conduct traffic noise studies. After several_x000D_
discussions between Gannett Fleming Inc. and the researchers at the University of Alberta (UofA), Gannett_x000D_
Fleming Inc. decided to partner with the UofA LiDAR team to improve their noise modelling procedure. This_x000D_
project will improve the accuracy of noise modelling by applying aerial LiDAR for spatial scanning near major_x000D_
transportation infrastructure. With the continued economic expansion and urban densification in Canada, traffic_x000D_
noise modelling is crucial to maintaining the quality of life of residents near downtown streets, arterial_x000D_
corridors, and Light Rail Train installations., program purpose french : Through the application of the Federal Highway Administration's Traffic Noise Model (FHWA TNM), Gannett_x000D_
Fleming Inc. has been providing traffic noise management solutions for several years. TNM requires accurately_x000D_
surveyed regions around transportation infrastructure installations to conduct traffic noise studies. After several_x000D_
discussions between Gannett Fleming Inc. and the researchers at the University of Alberta (UofA), Gannett_x000D_
Fleming Inc. decided to partner with the UofA LiDAR team to improve their noise modelling procedure. This_x000D_
project will improve the accuracy of noise modelling by applying aerial LiDAR for spatial scanning near major_x000D_
transportation infrastructure. With the continued economic expansion and urban densification in Canada, traffic_x000D_
noise modelling is crucial to maintaining the quality of life of residents near downtown streets, arterial_x000D_
corridors, and Light Rail Train installations., agreement title english : Extraction of Spatial Parameters from LiDAR Data and Aerial Photography for Noise Modelling, agreement title french : Extraction of Spatial Parameters from LiDAR Data and Aerial Photography for Noise Modelling, agreement number : EGP, agreement value : 25000.0, agreement start date : 2018-03-07, agreement end date : nan, description english : nan, description french : nan, expected results english : nan, expected results french : nan, additional information english : Grant or Award spanning more than one fiscal year (2017-2018 to 2018-2019)., additional information french : Subvention ou bourse octroyée s'appliquant à plus d'un exercice financier (2017-2018 à 2018-2019)., owner organization : nserc-crsng, owner organization title : Natural Sciences and Engineering Research Council of Canada | Conseil de recherches en sciences naturelles et en génie du Canada