Bus travel time prediction model with ν - support vector regression

Bus travel time prediction is a vital part for both bus operation optimizing system and information service system. This paper reviews existing bus travel time prediction models and analyzes the strengths and weaknesses of each model. A bus travel time prediction model based on nu - Support Vector Regression is proposed, which uses the departure time of bus from origin stop that can reflect traffic conditions for a certain degree as the input data. The performance of the proposed model is tested it in a case study of Express bus line 104 in Beijing. The result validates the effectiveness and efficiency of the model.