Abstract
The aim of this paper was to study the floating car data (FCD) application from origin to destination (OD) estimation issues. Thus the study put forward a method to estimate the OD matrix based on FCD. In this study, we first propose a model for obtaining prior OD matrix from FCD. Then a bi-level programming model was designed for OD flow estimation. As mentioned above the bi- level programming model is multi-objective optimization model, and the second model is for obtaining prior OD matrix which was integrated into bi-level model. The first model is a time-dependent OD traffic assignment model. Two-stages of genetic algorithm were used for solving the bi-level programming model. At last, we apply this model to a test network and examine its estimation performance. Compared with the traditional estimation method without FCD information, the OD estimation result was found to be more accurate and efficient.
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