A practical method of predicting Leq by use of Lx data for road traffic noise based on the introduction of probabilistic neural networks

This paper presents a practical prediction or transformation method from Lx data to Leq value, especially for the road traffic noise at night with a small traffic volume. The nonlinear relationship between Lx and Leq is grasped in principle by introducing a probabilistic neural network. Finally, the validity of the proposed method is experimentally confirmed too by applying it to the actually observed road traffic noise at night.