Research on correction method of traffic simulation model based on linear regression
Liguang Wang, Zhijie Liu, Zhijie Liu
Abstract
Liguang Wang, Zhijie Liu, Zhijie Liu
Abstract
The research on parameter calibration of traffic simulation model plays an important role in whether a model can well reflect the real traffic situation of the road. Thus it can provide evidence indirectly to traffic management and control. In this paper, the data verified in the traffic simulation software VISSIM is compared with the measured data, then we know that the model parameters after correction can better reflect the actual situation of the road. The method can also be extended to other roads and intersections in the parameters correction of simulation model.
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The research on parameter calibration of traffic simulation model plays an important role in whether a model can well reflect the real traffic situation of the road. Thus it can provide evidence indirectly to traffic management and control. In this paper, the data verified in the traffic simulation software VISSIM is compared with the measured data, then we know that the model parameters after correction can better reflect the actual situation of the road. The method can also be extended to other roads and intersections in the parameters correction of simulation model.
Key concepts: VisSim, Traffic simulation, Calibration, Computer science, Software, Road traffic, Regression analysis, Data modeling