基于复杂网络的路网交通拥堵评估仿真模型

为了能够深入分析路网交通拥堵动态演进过程, 为交通拥堵治理提供决策分析工具, 提出了一个基于复杂网络的路网拥堵评估仿真模型。通过将路段阻抗概念引入复杂网络理论, 实现了路网拓扑模型和流量模型的结合; 此外, 还提出了虚拟测试车辆遍历的路网通行能力评估方法, 对不同路网条件下的道路通行能力进行评估。最后在PC系统上实现了完整的路网拥堵评估仿真系统, 并利用该系统对拥堵路段数量、交通流量和路网拓扑结构等因素对路网通行能力的影响进行了仿真分析。仿真实验结果与经典交通理论分析结果一致, 并能反映更多的动态过程信息, 表明该模型能够准确有效地进行交通路网拥堵评估, 可以为相应的交通拥堵管理决策提供依据。

Complex network based simulation model for transportationnetwork congestion evaluation

In order to get insight into the dynamics of transportation network congestion and develop an effective decision making tool for transportation network congestion government, this paper presented a complex network based simulation model for transportation network congestion evaluation. Through introducing the concept of road impedance in complex network theory, complex network model and traffic simulation model were combined successfully to form a complete transportation network congestion simulation model. In addition, this paper also presented a transportation network capacity assessment method based on virtual test vehicle traversing. This approach could efficiently and comprehensively evaluate the network capacity under different conditions. Finally, it implemented a complete transportation network congestion assessment simulation system on PC system based on the above model and conducted simulation experiments to analyze the influence on the transportation network traffic capacity imposed by the number of congested road sections, traffic flow and road network topology. The results of simulation experiments match the classical transportation theory well and it disclosed more dynamic information of transportation network congestion evolution, which means this model can work well for transportation congestion government decision-making.