Estimation of parameters in models for traffic prediction : a new approach.

Parameters for traffic prediction models are usually based on traffic counts at cross sections. This report proposes a new approach which uses the counted link volumes as observations of the dependent variable in a regression model. The problem is regarded as non-linear regression model. The problem is regarded as non-linear regression, and parameter values are obstained by an iterative least squares algorithm. An example is given.