The research on noise maps started with the publication of END since then, many scholars have researched noise maps, covering the calculating model and the update method for a noise map. Those indicators include the percentages of people being highly annoyed, annoyed, and slightly annoyed and are used to compare the effect of noise reduction. Furthermore, noise impact indicators and the mean of the expected individual annoyance scores in the population are calculated on the basis of a noise map. In both studies, noise maps play a key role in the prediction of traffic noise and the display of final result. Similarly, Daniel Naish proposed a regional road traffic noise management strategy (RRTNMS) in this strategy, the road was ranked according to the predicted sound pressure level, and different control measures were implemented according to the results of the ranking. The method is based on the so-called “road stretch priority index”, in which the index involves a number of variables that are weighted according to their influence on the road traffic noise problem, and road stretches of different priorities thus require different plan actions. Another study proposed a method for sorting road stretches by priority by using a noise map. For example, Palma de Mallorca (Spain) conducted a study analyzing various noise mitigation measures, which consider not only the reduction of noise and the number of people who can benefit from these measures but also the net monetary benefits generated, by using a traffic noise map. In urban planning, a noise map is used to analyze the sound qualities of the soundscapes in a specific urban area to generate recommendations for the urban design of the soundscapes. A noise map is an important tool for observing and controlling noise pollution and the basis for epidemiology study relating annoyance to noise and noise exposure in urban areas. Since END ’s prescription for noise maps and action plans, there have been many efforts by the scientific community to conduct high-level study and propose new mitigation systems for the main sources of noise in urban areas: road traffic, railway traffic, airport, and industrial, ranging from regulations to operational approaches. Moreover, long-term exposure to traffic noise can easily lead to high blood pressure and affect the quality of life in the neighborhood. The growing amount of noise pollution can lead to a number of serious diseases, including sleep disturbance, stroke, male infertility, and learning impairment. In Europe, the recent Environmental Noise Directive (END) revision has updated the current situation on the application of the END and noise pollution continues to be a major health problem. With rapid growth of population and the continued expansion of transportation systems, traffic noise pollution becomes quite a nuisance to urban residents. It is found that the building groups have obvious shielding effect on traffic noise. Finally, the traffic noise suppression effect of buildings is analyzed. The other experiment is a comparison of the computing speed between a supercomputer and a normal computer the computing node of Tianhe-2 is found to be six times faster than that of a normal computer. With an increase in the number of compute nodes, the computing time increases linearly, and an increased computing scale leads to computing efficiency increases. One experiment involves comparing the expansibility of the parallel algorithm with various numbers of compute nodes and various computing scales to determine the expansibility. Two efficiency experiments are implemented. In addition, a strategy for obtaining a real-time dynamic noise map is elaborated. Moreover, a rendering method is provided to visualize the noise map. A parallel algorithm focused on controlling the compute nodes of the supercomputer is designed. To solve the problem of computing complexity, a systematic methodology for computing urban traffic noise maps under 3D complex building environments is presented on a supercomputer. The complexity of the 3D buildings and road networks gives the simulation of urban noise difficulty and significance.