在转换规则的确定上,以区域人口及经济等属性及路网密度等空间及非空间属性来衡量道路流人流出量.在模拟方法上,以随机数确定车流方向,体现城市交通流的复杂性,但未增加算法的复杂度.最后以上海市18个区及1个县的高速公路系统为例进行了实证研究,实验表明迭代20次后系统达到稳定态,且徐汇区和长宁区平均车辆数最大,较容易出现拥堵的状况.%To address traditional transportation CA's shortages that are only limited to experimental data, this paper firstly based on GIS platform establishes spatial and non-spatial database, and creates a lattice which is based on the database. As for the parameters in the transformation rules, this paper sets aside the subjective factors and uses the regional population, economy properties and the road network density to obtain the parameters; in the simulation method, the random method is used to determine directions of traffic, which is consistent with the complexity of urban traffic flow as well as not increasing complexity of the algorithm. Finally, taking the 18 district and a county's highway system as an example to do the empirical study in Shanghai, and the result shows that the system reaches a steady state after 20 iterations, and the Changning district and Xuhui district's average number of vehicles are the greatest, resulting in traffic congestion easier.
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