Service Characteristics of Customized City Bus Based on Data Mining Technology

The customized city bus is a mode of bus operation between conventional buses and taxis and is an important product of the diversified development of public transportation. This paper firstly builds the basic database by correlating and integrating its initial operation data based on the customized city bus in Xi’an, and the time and space distribution rules of passengers and the ticket booking behavior are analyzed. Then the seasonal index expansion method is used to fit the change rule of the number of phone application (APP) active users in 1 week and perform short-term forecasting by using the mobile phone terminal recorded data. Finally, the one-way running direction and the number of passengers transported in 1 day of the single bus are judged by the scan time of passengers based on K-means clustering. Through the above findings, a basis for the optimization of customized city bus operation management is provided.