交通量观测数据处理的模糊融合算法

交通量数据资料是交通规划的基础，但限于观测手段、观测方式等原因，致使交通量数据不完整、数据失置：针对这些存在的问题，介绍了3路交叉和4路交叉转向交通量的分解方法，提出了路段交通量的模糊融合模型及其量解算法。最后以某简单路网为例对模糊融合模型进行计算，结果证明利用该算法对原始数据进行处理，可以得到完整可靠的交通量数据。该方法借助MATLAB软件求解，简便可行，提高了交通规划工作的效率。

Fuzzy Fusion Arithmetic for Adjusting Observed Traffic Data

Traffic data is the base of traffic planning. However, some data are always incorrect and deficient because of some limits in data collection. In order to solve the problem, the method for decomposing turning traffic volumes of three-leg intersection and four-leg intersection was introduced and the fuzzy model was used and its solution algorithm was given. After that, an example of simple highway network was taken and analyzed, the result indicated that complete data can be got from the originals. Making use of MATLAB, the result could be easily calculated, which will improve the efficiency of traffic planning.