Discrimination model for macroscopic traffic conditions of urban networks using two-fluid theory

作者：Wang, Dianhai^*; Chen, Song; Wei, Qiang; Wang, Jing

来源：Journal of Southeast University(Natural Science Edition), 2011, 41(5): 1098-1103.

DOI：10.3969/j.issn.1001-0505.2011.05.038

• Calibrated model
• Discrimination model
• Evolution process
• Least squares methods
• Traffic conditions
• Traffic simulations
• Traffic variables
• Two-fluid theory

In order to develop a macroscopic flow model of urban network conditions suitable for the traffic control, the criteria for choosing macroscopic traffic variables are proposed, and then the macroscopic traffic variables are determined. The relationships among the traffic variables are derived by applying the two-fluid theory. Therefore, the macroscopic traffic condition model of urban networks is developed, and the calculation method of the optimal network capacity is presented based on this model. The model parameters are calibrated by the least squares method. The evolution process of traffic conditions is simulated by VISSIM and the relationships among variables determined by the calibrated model are compared with those from simulation. The results show that the macroscopic traffic conditions of urban networks can be accurately quantified by the calibrated model. The model parameters are easily estimated, so the proposed model can be applied in practice.

• 出版日期2011-9
• 单位浙江大学