Abstract: Obtaining the dynamic information of urban traffic evaluation according to travel demand is very necessary for transportation governing. This paper presents a novel road network traffic flow simulation model. Based on gravity method of O-D（Origin-Destination） estimation, complex network theory and link resistance model, a road network model is constructed. In addition, on the assumption that reasonable people often select a path with minimum link resistance as their travel path, a mapping algorithm is presented to map travel demand to traffic flow on road network. Taking advantage of discrete event simulation method, a simulation prototype system on PC is implemented. Experimental results indicate that this simulation system can simulate the dynamic evolution of traffic flow and the state of road network in real time way based on travel demand changes, and then the effectiveness of the model is validated.

Key words: traffic flow, simulation, Origin-Destination（O-D） estimation, link resistance, road network

摘要： 为了将交通出行需求对路网交通流量的影响进行动态的量化分析，提出了一个基于O-D矩阵估计的路网交通流量仿真模型。利用O-D矩阵估计的重力模型计算方法、复杂网络理论和路段阻抗模型，构建了路网模型；在人们出行总是选择路段阻抗最小路径的假定下，设计了出行需求的路网流量映射算法；基于离散事件仿真，在PC系统上实现了路网流量仿真系统。仿真结果表明：该仿真系统可以根据各交通子区域出行需求的变化，精确模拟路网流量和交通状态的动态演进。

关键词: 交通流量, 仿真, 起点-终点（O-D）估计, 路段阻抗, 路网模型