Abstract:

Based on the information fusion of theory and methods,the paper makes the data of historical passenger flow of urban rail transportation gathered and fused,and then it calculates the characteristic data for real-time schedule.Finally,an algorithmic method based on the characteristic data is presented.It can be gained the interval decision of the real-time dispatch from the fusion of data tier and characteristic data tier via using those characteristic data and real time data.Real-time Scheduling model for urban rail transportation is created.Ultimately the paper applies the operational data of Changchun's light rail to the empirical analysis and it is shown that real-time scheduling model works well after testing.

Key words: urban rail transit, information fusion, scheduling decision