基于模糊积分的区域交通服务水平评价研究

随着大城市路网建设的逐渐稳定，服务水平评价结果成为城市交通管理决策的一个重要依据，因而对城市道路交通服务水平(LOS)的评价成为一项重中之重的研究内容. 本文提出一种基于模糊积分的区域交通LOS评价模型. 该模型能够解决区域交通服务水平中多路段评价结果复合时的非可加性问题，即区域交通服务水平不等于局部路段或路口服务水平的简单之和，可满足区域交通的评价需求. 在现场海量实测数据集的基础上，利用模糊积分用微观评价数值计算中观评价结果，排除了主观约束，并选取北京市典型区域进行了实验和应用，取得了较好的评价结果.

Urban Regional Traffic Level of Service Evaluation Based on Fuzzy Integral

At present, with the stabilization of the big cities’ road network buildings, urban traffic level of service becomes the most important evidence for the traffic managements make decision. Thus, the regional traffic level of service (LOS) evaluation becomes a sticking point in urban traffic research to improve urban traffic management. This paper proposes a regional traffic LOS evaluation model based on the fuzzy integral. It can solve non-additivity of regional traffic LOS by synthesizing indexes value of several segments, in other words, the regional traffic LOS is neither the result of single parameter measure, nor the result of local traffic parameters’ simple sum. In this paper, we uses fuzzy integral to meso-layer regional LOS assessment results from microcosmic layer attributes by real data. It can get rid of the subjective constraints, numerical examples applied in Beijing typical regions, the computational results show that the methods in region traffic can estimate the LOS of region traffic effectively.