Research on the Construction Method of Driving Conditions with Optimal Deviation Based on Fuzzy C-Means Clustering

To construct a driving condition that conforms to the actual situation, this paper firstly removes, interpolates, and smooths the original data, and obtains several kinematic segments according to the division standard of kinematic segments. Then, extract the feature parameters and analyze the principal components of the kinematic segments obtained by division, and retain the principal components that can describe most of the features. Finally, the FCM clustering method is used to analyze the retained principal components, and the congestion, relative congestion, and relative unblocked and unblocked conditions are obtained. Finally, the comprehensive driving conditions are synthesized by the deviation optimization method, and their rationality and scientificity are verified by simulation analysis.