Replication of Calculation of Road Traffic Noise Model for Traffic Noise Prediction at The Central Business District of Ondo Town, Nigeria

Traffic noise prediction models are required as aids in the design of roads and sometimes in the assessment of existing, or envisaged changes in, traffic noise conditions. In this research, traffic noise and other key parameters (traffic composition, traffic volume and speed) critical to traffic noise at the Central Business District of Ondo town were investigated. Data on traffic composition, traffic volume, speed and traffic noise levels were obtained and fitted into the Calculation of Road Traffic Noise (CoRTN) model which is a standard traffic noise prediction model. Data collected showed that the measured noise levels in equivalent noise level (Leq) for the study locations ranged between 68 dB(A) and 76 dB(A); these traffic noise levels exceed World Health Organization (WHO) and Federal Highway Administration (FHWA) permissible limit of 55 dB(A) and 60 dB(A) respectively. Results revealed that the (CoRTN) model showed efficient predictive capability when compared to measured noise levels with an acceptable coefficient of determination (R2) value of 0.943.

Replication of Calculation of Road Traffic Noise Model for Traffic Noise Prediction at The Central Business District of Ondo Town, Nigeria Keywords:

CoRTN , Central Business District , Traffic noise , Ondo town