A Comprehensive Bus Line Evaluation Method Based on Fuzzy C-Means Clustering Algorithm

Analyzing and appraising the operational situation of bus lines is an important basis on which bus companies can adjust bus lines and establish operation schedules. However, at present, the assessment of bus lines lacks accurate and scientific methods. This article proposed to use a Fuzzy C-means clustering algorithm to comprehensively analyze the structural difference and operational effects of bus lines. By comparing the evaluation indexes of each line, those with similar structure and operational effects were classified into one category, each with its own unique structural and operational characteristics. Based on this, the algorithm was applied to the operational situation of the public transit system in Changzhou city. As a result of the evaluation process, suggestions to optimize the transit system are proposed. © 2009 ASCE.