In the case of the companies selected for noise measurement in this study, even though noise exposure in the workplace begins with noise management for large machines or high-output machines, they only manage to write reports on how much workers are exposed to noise for 8 hours a day. is focused on. When large machines are delivered, little information on noise received from the manufacturer is kept, and noise information indicated on design drawings is also difficult to find. History management of noise information of large machines is necessary. There is also a problem with the professionalism of managers who manage noise information. Like odors and fine dust, it is judged that noise needs to be managed by a professional manager at the workplace and managed through a database of noise information.

PURPOSES : This study aims to create a pleasant environment by exploring ITS technology-based reduction measures to manage vehicles on the road, which are the main cause of traffic noise, while identifying the effects of traffic noise and various noise reduction measures. METHODS : A review of the literature identified the matters discussed mainly by reviewing the pre-examination and related statutes of traffic noise management measures at home and abroad. Furthermore, in the field investigation section, the variables affecting traffic noise (traffic volume, large vehicle mix rate, and driving speed) were investigated and the noise impact was analyzed using the three-dimensional (3D) noise prediction model (SounpdPLAN). RESULTS: The noise impact levels of the 3D noise prediction model were identified from various angles, such as horizontal and vertical, and traffic noise management measures for pre-real-time management and related DB utilization measures were proposed. CONCLUSIONS: Unlike the existing traffic noise management measures, which focus on follow-up management measures, it is believed that further research is needed to develop standards and related guidelines that meet regional characteristics by taking into account the characteristics of traffic noise and creating concrete and drawing action plans that can be used in future policies using ITS technology.