The Analysis of Traffic Flow State on Foggy Expressway Based on FuzzyClustering

摘要

Traffic flow state is a vague concept. It can not be measured off inrndifferent traffic flow states by using a specific index, which is in line with the fuzzyrnclustering characteristics. The Fuzzy C-Means (FCM) algorithm is used to analyzernthe traffic flow state in fog and non-fog periods in terms of a large amount of data ofrnspeed, density, and volume. The traffic flow state is classified into three, four, and sixrncategories, respectively. By comparing and analyzing the traffic flow state in the twornperiods, results show that the regularity in fog is more obvious than that in non-fog.rnThe traffic flow state in the fog period can be well described by four categories.