Abstract: Bus Rapid Transit is a public transport model with high efficiency, large capacity, less energy consumption and pollution. However, it cannot make full use of the advantages, with the influence of private vehicles and signal control in the intersection. In order to improve the efficiency of the BRT system and avoid the stop behavior in the intersection, this paper put forward a BRT speed induction model based on the Kalman travel time prediction. First of all, the stop time prediction model in the bus station, and the travel time prediction model between the bus station and the intersection are demonstrated. Secondly, according to the time the vehicle arriving at the intersection, it is introduced four speed induction models. Finally, the BRT travel data in the city of Changzhou is used in the paper to test the effectiveness of this model. The results show that this model can significantly improve the efficiency of the BRT system, and it should have a better engineering application prospect.

Key words: transportation engineering, bus rapid transit, time prediction model, speed induction model