Bus Trip OD Identification Based on Mobile Phone Data

This paper develops the bus trip identification model and the OD probability model based on the connection between the traveler's mobile phone data and the bus trajectory data. The proposed models help to identify the Origin to Destination (OD) of mobile phone users' bus trips considering the bus Global Positioning System (GPS) trajectory and the traveler's transfer behaviors in the identification of subway trips, the mobile phone data and Integrated Circuit (IC) card data are integrated to extract the bus and non-bus trip data with millions of samples as the verification set. The impact from major parameters on the identification accuracy are also analyzed such as trip distance, the overlap of bus routes, etc. The results show that: in the verification set, the accuracy rate of bus trip recognition is 0.807, recall rate is 0.912, transfer recognition accuracy rate is 0.660, recall rate is 0.756; the bus line recognition accuracy rate reach 75.5%, and the inter station OD recognition accuracy rate is 71.9%; different parameter values have significant impact on the recognition effect. In addition, the longer the travel distance and the lower the bus line overlap coefficient, the higher the bus lines and OD recognition accuracy would be. The recognition effect appears to be the best when the trip distance is more than 6 km and the average bus section overlap coefficient is less than 4. Copyright © 2021 by Science Press.