原文传递 Modeling Multiple User-Class Traffic
题名: Modeling Multiple User-Class Traffic
作者: Hoogendoorn-SP; Bovy-PHL
关键词: Traffic flow theory; Traffic simulation; Traffic flow; Estimating; Forecasting; Accuracy; Improvements; Traffic density; Traffic speed; Vehicle mix; Anisotropy (Physics); Macroscopic traffic flow; Traffic simulation models; User classes; Traffic flow characteristics; Estimation; Predictions; Equilibrium; Relationships; Traffic composition; Anisotropy; Macroscopic simulation
摘要: In contemporary traffic flow theory, the distinction between user classes is rarely made. However, we envisage that the accuracy and the descriptive power of the macroscopic traffic flow models can be improved significantly by separating user classes and their specific flow characteristics. As a consequence, the possibility of improved estimation and prediction of traffic flow conditions becomes available. Additionally, the availability of a realistic multiple user-class traffic flow model enables the automated generation of user-dedicated traffic control policies by means of mathematical optimal control theory. A macroscopic multiple user-class model is derived from mesoscopic principles. In opposition to earlier multiple user-class models, the model presented here implicitly defines equilibrium relationships between traffic density and equilibrium velocities as a function of current traffic conditions, traffic composition, and distribution of user-class-dependent desired velocities. Additionally, the velocity variance variable is introduced describing deviations from the average speed within the user classes. The multiple user-class model identifies competing processes. On the one hand, drivers attempt to traverse the freeway at their desired velocity; on the other hand, they adjust their velocity because of interaction with slower vehicles. These processes can result in self-formation of apparently random local structures. Finally, the proposed model satisfies the anisotropy condition and the invariant personality condition.
总页数: Transportation Research Record.1998. pp 57-69 (FIGS: 4 Fig. REFS: 22 Ref.)
报告类型: 科技报告
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