To exactly forecast the urban rail transit passenger flow, a multi-level model combining neural network and Kalman filter was proposed. Firstly, ELAN neural network model was introduced to implement a preliminary forecast of the passenger flow. Then the Kalman filter was used to correct the preliminary forecast results, so as to further improve the accuracy. Finally, in order to validate the pr...

ABBREVIATIONS ADB – Asian Development Bank APTA – American Public Transportation Association ASIF – activity–structure–intensity–fuel BMRC – Bangalore Metro Rail Corporation BRT – bus rapid transit CO 2 – carbon dioxide COPERT – Computer Programme to Calculate Emissions from Road Transport DIESEL – Developing Integrated Emissions Strategies for Existing Land Transport DMC – developing member co...