Strategic noise mapping of large areas challenges the performance of noise computation software, not only with respect to calculation times, but also in the process of generating the comprehensive acoustic model. These models encompass a huge amount of data. In order to manage these large datasets, the model has to be divided into manageable parts or tiles. A tiling even facilitates the recalculations of large-scale, dynamic noise mapping, e.g. when doing environmental impact assessments or action planning. Large-scale noise mapping using tiled models requires optimised methods for data processing and a well organised structure for data filing and management. This paper describes the methods and tools developed for noise mapping of the major road network in Denmark and END mapping in England, including: - automated methods for attributing and tiling of the geometric data within GIS; - quality assurance of data and calculation results; - management and generation of tiled models and batch calculations in the noise computation software; - export, processing and aggregating of calculated results of each tile into a total noise map; - assessment and presentation of results.
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