Evaluation Methodology of Transit Based on Big Data Mining

Abstract

Analysis of the operating conditions of public transit, potential problems and potential; evaluation of the existing public transport network scheme to meet the future urban public transport passenger traffic demand; feedback and verification of the implementation effect of public transport network planning. These are very important to traffic system management, especially bus operation management. Therefore, it is necessary to establish a scientific and practical evaluation index system and evaluation method for the public transport network, and make a scientific evaluation of the public transport network, and optimize the bus routes according to the evaluation results. Based on the big data mining and Bayesian network, a new method for evaluating public transport service is proposed. So, the service of transit can be evaluated reasonably from the point of quantitative analysis.