Academic literature on the topic 'CORTN'

ABSTRAK Kebisingan lalu lintas adalah salah satu ancaman bagi kesehatan masyarakat perkotaan. Paparan bising memberikan efek kesehatan jangka pendek dan panjang, dan efeknya berpotensi lebih buruk pada anak-anak yang belajar di sekolah pinggir jalan. Penelitian ini bertujuan untuk mengkarakterisasi kebisingan lalu lintas jalan di sekolah-sekolah yang terletak di jalan-jalan utama di Bandung, Indonesia serta memberikan rekomendasi mitigasi dan adaptasi untuk pengendalian kebisingan. Kebisingan lalu lintas diperoleh di dua sekolah pinggir jalan terletak di dua jalan utama (Jalan Suci dan Djuanda), beserta data volume dan komposisi lalu lintas, serta kecepatan kendaraan. Pengukuran dilakukan antara jam sekolah selama satu hari yang mewakili lokasi trotoar jalan, depan sekolah, dan halaman sekolah. Parameter tingkat kebisingan yang penting (Leq, L10, L50, L90) diukur, dan dilakukan analisis korelasi antara masing-masing parameter kebisingan. Model CoRTN digunakan untuk memprediksi kebisingan lalu lintas pada jarak tertentu dari jalan raya. Sepeda motor merupakan jenis kendaraan dominan secara berturut 79,1% dan 67,1% dari total volume kendaraan di ruas jalan Suci dan Djuanda. Kendaraan berat menyumbang <1%. Mayoritas kebisingan lalu lintas yang diukur sebagai Leq, L10, L50, L90 melebihi batas maksimum untuk pinggir jalan dan zona sekolah menurut standar internasional dan nasional <55 dBA). Model tersebut berkinerja lebih baik di ruas jalan Djuanda daripada Suci. Jumlah lokasi dan waktu pengukuran yang lebih banyak dapat memberikan penilaian paparan tingkat kebisingan lalu lintas yang lebih baik dengan menggunakan model CoRTN. Hasil penelitian ini diharapkan dapat menjadi masukan kebijakan berbasis pengetahuan bagi pemerintah kota dan lembaga untuk mengurangi dampak bising bagi anak didik. Kata kunci: kebisingan lalu lintas jalan, tingkat kebisingan, Model CoRTN ABSTRACT Noise from road traffic is one of the most ubiquitous threats to the public health in urban setting. Its exposures have proven short-and long-term health effects. and potentially worse for vulnerable population such as children studying at roadside schools. This study aimed to characterize the road traffic noise at schools located at major roads in Bandung, Indonesia. Traffic noise were obtained at 2 roadside schools located at two major roads (Suci and Djuanda roads), along with data on traffic volume and composition, and vehicles speed. The measurement was conducted between school hours during one day-time only at locations representative of roadside, front of the schools, and schoolyard. Important noise level parameters such as Leq, L10, L50, L90 were recorded, and correlation analysis between each parameter was conducted. The CoRTN model was then applied to predict the traffic noise at particular distances from the road. Motorcycles were the predominant vehicle type on both road segments: 79.1% and 67.1% of the total vehicle volume on Suci on Djuanda segments, respectively. Conversely, heavy vehicles accounted <1%. The majority of measured traffic noise determined as Leq, L10, L50, L90 exceeded the maximum limit for roadside and school zone set by the international and national standard (>55 dBA). The model performed better in Djuanda road segment than in Suci segment. More measurement locations and time could provide better assessment of exposure to traffic noise levels at roadside schools using the CoRTN model. Keywords: road traffic noise, noise level, CoRTN model

Mesjid Agung Ar-Rahman dan Rumah Sakit Syafira yang berada dilingkungan jalur lalu lintas yang terkena kebisingan perlu melakukan pengendalian kebisingan. Tujuan dari penelitian ini adalah untuk mengetahui seberapa besar tingkat kebisingan akibat aktivitas transportasi pada jalan Jendral Sudirman lokasi Mesjid Agung Ar-Rahman dan lokasi Rumah Sakit Syafira Kota Pekanbaru, Metode penelitian ini merupakan studi kasus dimana fokus permasalahannya hanya pada tingkat perhitungan prediksi akibat lalu lintas dengan formula Calculation of Road Traffic Noise (CoRTN) dan pengukuran kebisingan dengan Sound Level Meter (SLM) serta pengumpulan data menggunakan kuisioner. Analisa data yang digunakan adalah uji normalitas, univariat dan independent sampel test. Berdasarkan hasil survei kebisingan dan perhitungan CoRTN didapat tingkat kebisingan lalu lintas di jalan Jendral Sudirman, pada hari kamis dan senin diperoleh tingkat kebisingan rerata terendah dengan SLM adalah 71.30 dB yaitu terletak dilokasi Mesjid AgungAr-Rahman pada hari kamis pukul 16.30 – 17.30. Tingkat kebisingan rerata tertinggi adalah 75.02 dB yaitu terletak dilokasi RS Syafira pada hari senin pukul 16.30 – 17.30. Untuk Basic Noise Level yang terendah dihasilkan dihasilkan dilokasi RS Syafira pada hari senin pukul 07.00 – 08.00 sebesar 72.90 dB. Sedangkan yang tertinggi dihasilkan dilokasi Mesjid Agung Ar-Rahman pada hari kamis pukul 07.00 – 08.00 sebesar 75.52 dB. Berdasarkan hasil dari kuisioner dengan pengujian Idependent Sampel Test diperoleh tingkat kebisingan lalu lintas rata-rata dilokasi Mesjid Agung Ar-Rahman sebesar 51.45 dB dan dilokasi RS Syafira sebesar 50.25 dB. Secara umum pengukuran dengan alat ukur maupun persamaan emperik, telah melebihi baku tingkat yang diizinkan.

This paper aims to summarize the findings of research concerning the application of neural networks in traffic noise prediction. Noise is an environmental agent, regarded as a stressful stimulus. Noise exposure causes changes at different levels in living beings, such as the cardiovascular, endocrine and nervous system. Study of traffic noise prediction models began in 1950s to predict a single vehicle sound pressure level at the road side. After that, several traffic noise prediction models such as FHWA, CORTN, STOP and GO, MITHRA, ASJ etc. were developed depending upon various parameters and conditions. Complexity of error identification by means of classical approaches has led to researchers and designers to explore the possibility of neural solution to the problem of traffic noise prediction. Present study is focused on review of various neural network models developed for road traffic noise prediction.

ABSTRAKPeningkatan volume kendaraanberdampak terhadappeningkatan kebisingan lalu lintas yang menimbulkangangguan pendengaran bagi pengguna jalan dan masyarakat disekitarnya.Tujuan penelitian ini yaitumenghitung kebisingan pada kawasan rumah sakit dan sekolah akibat arus lalu lintas di Jalan L.L. R.E. Martadinata Kota Bandung dengan menggunakan Metode Bina Marga Pd.T-10-2004-B tentang Prediksi Kebisingan Akibat Lalu Lintas dengan ModelCalculation of Road Traffic Noise (CoRTN).Dari hasil perhitungan diperoleh tingkat kebisingan di kawasan RSIA Limijati sebesar 62,46 dBA (weekdays) dan 62,01 dBA (weekend), sedangkan tingkat kebisingan dikawasan Sekolah Taruna Bakti sebesar 66,06 dBA (weekdays) dan 66,21 dBA (weekend). Dapat disimpulkan bahwa tingkat kebisingan di kawasan RSIA Limijati dan Sekolah Taruna Bakti sudah melebihi baku mutu yang diijinkan menurut Keputusan Menteri Negara Lingkungan Hidup No. 48/MENLH/11/1996 yaitu sebesar 55 dBA, sehingga untuk menurunkan tingkat kebisingan perlu dilakukan mitigasi dampak kebisingan akibat lalu lintas jalan.Kata kunci: kebisingan pada kawasan rumah sakit, kebisingan pada kawasan sekolah, ModelCalculation of Road Traffic Noise ABSTRACTThe increase ofvehicle volume is impacted to the increase of traffic noise which is The increase ofvehicle volume is impacted to the increase of traffic noise which is caused sense of hearing interruptionto the road user, pedestrian, and the society in that area. This research’s purpose is to calculate the traffic noise in hospital and school area which is caused by the traffic in Jalan L.L. R.E. Martadinata, Kota Bandung. The method used is Bina Marga Pd.T-10-2004-B about The Prediction of Noise caused by Traffic using Calculation of Road Traffic Noise (CoRTN) Model. Based on the calculation, the number of traffic noise in RSIA Limijati area for about 62,46 dBA (weekdays) and 62,01 dBA (weekend), while Taruna Bakti School for about 66,06 dBA (weekdays) and 66,21 dBA (weekend).In conclusion, the number of traffic noise in RSIA Limijati and Taruna Bakti School area exceed the standard grade permission from Keputuan Menteri Negara Lingkungan Hidup No. 48/MENLH/11/1996 is about 55 dBA. For decreasing the number of traffic noise, it is a must for doing mitigation toward the effect of noise which is caused by traffic.Keywords: The traffic noise in hospital area, the traffic noise in school, Calculation of Road Traffic Noise Model

A utilização de barreiras acústicas é uma das medidas empregadas para minimizar o impacto gerado pelo ruído, pois é possível produzir uma atenuação no nível sonoro por meio da restrição à passagem do som diretamente da fonte para o receptor. As passagens inferiores em rodovias vêm sendo usadas para evitar cruzamentos em nível entre as vias. Pressupõe-se que esse desnível pode funcionar como uma barreira acústica contribuindo com a redução do ruído nas áreas circunvizinhas, com a vantagem de possuir pouco impacto visual. Neste artigo, analisou-se a passagem inferior construída na BR-230 com o objetivo de quantificar o efeito benéfico da mesma em relação a redução do ruído emitido. Medições de ruído foram realizadas na área urbana adjacente a esta passagem e, com os resultados obtidos, foram feitas correlações com expressões do modelo CoRTN para estimativa do ruído. Verificou-se, por meio comparativo, os benefícios que a passagem inferior disporia como solução acústica. Como resultado, obteve-se uma redução média de 11,8 dB(A), constituindo uma atenuação expressiva no nível de ruído para os pontos na região de sombra acústica.

AbstractPresent study focuses on measurement, prediction and mapping of noise levels in important places of Vellore city located in Tamil Nadu state, India. Weekday and weekend noise levels at six locations (S1 to S6) are recorded during morning, afternoon and evening times. Sampling locations includes educational (S1), commercial (S2 and S4), tourist and recreational (S3), and mixed (S5 and S6) zones. Assessment in Vellore city showed maximum Leq level in S4 and S5 and lowest is recorded in S3 throughout the study. Highest Leq levels are recorded in evening (57.52–78.41 dB(A)) and afternoon (58.76–76.39 dB(A)) time during weekday and weekend, respectively. Along with Leq, noise descriptors are also included and discussed in this study. Weekend has higher mean value of TNI thanWeekday. CoRTN model is employed to predict the L10 values. Results showed good performance of model with marginal difference between measured and predicted L10 levels. Further noise maps are created separately for weekday and weekend using ArcGIS software. Noise maps showed alarming noise levels near sampling sites and it is suggested to take immediate preventive measures using barriers or by providing alternative traffic routes.

AbstractRoad traffic noise has been recognized as a serious issue that affects the urban regions. Due to urbanization and industrialization, transportation in urban areas has increased. Traffic noise characteristics in cities belonging to a developing country like India are highly varied compared to developed nations because of its heterogeneous conditions. The objective of the research study is to assess noise pollution due to heterogeneous traffic conditions and the impact of horn honking due to un-authorized parked vehicles on the main roadside. Noise mapping has been done using the computer simulation model by taking various noise sources and noise propagation to the receiver point. Traffic volume, vehicular speed, noise levels, road geometry, un-authorized parking, and horn honking were measured on tier-II city roads in Surat, India. The study showed not so significant correlation between traffic volume, road geometry, vehicular speed and equivalent noise due to heterogeneous road traffic conditions. Further, analysis of traffic noise showed that horn honking due to un-authorized parked vehicles contributed an additional up to 11 dB (A), which is quite significant. The prediction models such as U.K’s CoRTN, U.S’s TNM, Germany’s RLS-90 and their modified versions have limited applicability for heterogeneity. Hence, the noise prediction models, which can be used for homogeneous road traffic conditions are not successfully applicable in heterogeneous road traffic conditions. In this research, a new horn honking correction factor is introduced with respect to unauthorized parked vehicles. The horn honking correction values can be integrated into noise model RLS-90, while assessing heterogeneous traffic conditions.