References
- Subramani T, Kavitha M, Sivaraj KP. Modeling of traffic noise pollution. Int J Eng Res Appl. 2012;2(3):3175–3182.
- Cirianni F, Leonardi G. Artificial neural network for traffic noise modeling. ARPN J Eng Appl Sci. 2015;10(22):10413–10419.
- Cirianni F, Leonardi G. (2011, November). Road traffic noise prediction models in the metropolitan area of the Strait of Messina. Proc Inst Civil Eng Transport. 164(4): 231–239. Thomas Telford Ltd.
- Sharma A, Vijay R, Bodhe GL, et al. Adaptiveneuro-fuzzy inference system for traffic noise prediction. Int J Comput Appl. 2014;98(13):14–19
- Zambon G, Roman HE, Smiraglia M, et al. Monitoring and prediction of traffic noise in large urban areas. Appl Sci. 2018;8(2):251. doi: https://doi.org/10.3390/app8020251
- Kumar P. Traffic noise measurement and prediction in Patiala City, Punjab (India). Int J Adv Res Sci Eng. 2015;4:78–83.
- Kumar P. Traffic noise estimation using genetic algorithm (GA) approach. HCTL Open Int J Technol Innov Res (IJTIR. 2015;16:2321–1814.
- Garg N, Mangal S, Dhiman P. (2014). A multiple regression model for urban traffic noise in Delhi. Proceedings of the International Conference on Advances in Engineering and Technology, p. 344–349.
- Kumar P. Prediction of traffic noise descriptors using the artificial neural network. Int J Basic Appl Res: 290–296.
- Rey Gozalo G, Barrigón Morillas JM. Analysis of sampling methodologies for noise pollution assessment and the impact on the population. Int J Environ Res Public Health. 2016;13(5):290–296. doi: https://doi.org/10.3390/ijerph13050490
- Givargis S, Karimi H. A basic neural traffic noise prediction model for Tehran’s roads. J Environ Manage. 2010;91(12):2529–2534. doi: https://doi.org/10.1016/j.jenvman.2010.07.011
- Kumar P, Nigam SP, Kumar N. Vehicular traffic noise modeling using artificial neural network approach. Transp Res C, Emerg Technol. 2014;40:111–122. doi: https://doi.org/10.1016/j.trc.2014.01.006
- Agarwal S, Swami BL. A comprehensive approach for the development of traffic noise prediction model for Jaipur city. Environ Monit Assess. 2011;172(1-4):113–120. doi: https://doi.org/10.1007/s10661-010-1320-z
- Mishra RK, Parida M, Rangnekar S. Evaluation and analysis of traffic noise along the bus rapid transit system corridor. Int J Environ Sci Technol. 2010;7(4):737–750. doi: https://doi.org/10.1007/BF03326183
- Sukeerth G, Munilakshmi N, Anilkumarreddy C. Prediction of road traffic noise levels by using regression analysis and artificial neural network in Tirupati town. Int J Eng Res Gen Sci. July-August, 2017;5(4):737–750.
- Solanki RS, Parmar AA. A review on road traffic noise pollution and modeling using multiple linear regression. Int J Adv Eng Res Dev. February −2018;5(02):55–65.
- Di H, Liu X, Zhang J, et al. Estimation of the quality of an urban acoustic environment based on traffic noise evaluation models. Appl Acoust. 2018;141:115–124. doi: https://doi.org/10.1016/j.apacoust.2018.07.010
- Singh D, Nigam SP, Agrawal VP, et al. Vehicular traffic noise prediction using soft computing approach. J Environ Manage. 2016;183:59–66. doi: https://doi.org/10.1016/j.jenvman.2016.08.053
- Nagy AM, Simon V. Survey on traffic prediction in smart cities. Pervasive Mob Comput. 2018;5:1–31.
- Margaritis E, Kang J, Filipan K, et al. The influence of vegetation and surrounding traffic noise parameters on the sound environment of urban parks. Appl Geogr. 2018;94:199–212. doi: https://doi.org/10.1016/j.apgeog.2018.02.017
- Wang H, Cai M, Yao Y. A modified 3D algorithm for road traffic noise attenuation calculations in large urban areas. J Environ Manage. 2017;196:614–626. doi: https://doi.org/10.1016/j.jenvman.2017.03.039
- Cai M, Lan Z, Zhang Z, et al. Evaluation of road traffic noise exposure based on high-resolution population distribution and grid-level noise data. Build Environ. 2018;196:1–39.
- Džambas T, Lakušić S, Dragčević V. Traffic noise analysis in railway station zones. Appl Acoust. 2018;137:27–32. doi: https://doi.org/10.1016/j.apacoust.2018.03.006
- Codur MY, Atalay A, Unal A. Performance evaluation of the ann and anfis models In urban traffic noise prediction. Fresenius Environ Bull. 2017;137:27–32.