Prediction and environmental appraisal of traffic noise intensity by auto-regressive integrated moving average technique

Abstract Auto-regressive integrated moving average (ARIMA) assessment of traffic noise was conducted on different routes in Port Harcourt, Nigerian metropolis. This achieved by measuring the various asphalt flexible and concrete rigid pavement structures with a meter for sound measurement regards to volume traffic, vehicle movement rate, location away from midpoint highway. The peak obtained at selected distances 5m, 10m, 15m middle highway, locations 1, 2, 3 their mean case 4 (Trunk A pavement), 5 C 6 pavement). results investigation show that values 1 had same range high intensity as Trunk classified heavy-traveled roads; while conversely, C) lower intensity, which light-traveled road. For C, generated less than pavement. Generally, R 2 ARIMA models showed very good performance along travel routes. case-specific distances, performed efficiently values.