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

Author(s)
Högberg, P.
Year
Abstract

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.

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Publication

Library number
B 10464 fo /71/ IRRD 223672
Source

Göteborg, University of Göteborg, 1976, 8 p., 1 fig., 3 tab., 8 ref.; Research Report 1975 : 1.

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