A dynamic method to monitor public transport based on smart card and GPS Data

Public Transport monitor is the foundation of effective management and evaluation, which is crucial to improve sharing rate of public transit. This study proposes a new method to develop a dynamic monitoring system on the base of smart card and GPS data. First Data Warehouse of multi-source data from advanced public transport system (APTS) is descripted for monitoring system. Then the study develops a three-level algorithm to explore bus operation state and passenger travel characteristic, which performs better in the aspect of efficiency and accuracy. Then a case study of Ningbo City is adopted to validate the method and demonstrate the visualization function, which facilities supportive decisions of public monitor system.