Most transport models for short-term strategic planning are required to be calibrated with current planning parameters and updated traffic data. There are basically two steps involved in transport model calibration, namely, trip matrix updating and network calibration. These two steps are carried out iteratively in the conventional approach and may not achieve a stable solution. This paper proposes a bilevel programming model that integrates the two steps of trip matrix updating and network calibration into one stage. A solution algorithm is developed on the basis of genetic algorithms. Numerical examples are presented to illustrate the performance of the proposed model and solution algorithm under various conditions where different source data are available.
|Number of pages||14|
|Journal||Journal of Transportation Engineering|
|Publication status||Published - 1 Mar 2004|
- Data analysis
- Transportation planning
ASJC Scopus subject areas
- Civil and Structural Engineering