Fusion Modeling Method for Floating Car and Section Detection Data in Multiple Scenes

In order to improve the accuracy of traffic flow data, this paper proposed a fusion method between floating car data and section detection data. Firstly, multi-scenario was discussed according to different data sources: GPS floating car system coexists with microwave radar detector, GPS floating car system coexists with ultrasonic detector, GPS floating car system coexists with travel time detector and induction Coil detectors, and only a single GPS floating car system. Second, three types of fusion models were put forward based on linear combination method, and then the model parameters were separately analyzed. Finally, the empirical experiments were verified the model validity and reliability.