A model for matching the route of expressway vehicles with toll collection data

After 30 years of rapid development, the total mileage of China‘s expressways has exceeded 130 thousand kilometres, and large amounts of data are stored in the toll collection system. China‘s expressway toll collection is implemented in the provincial transportation network. The routes crossing provinces are divided into several records in the toll collection system. License plates are the unique identifier of a vehicle used for matching routes. However, records of license plates are not good enough, so the route matching requires some other useful auxiliary information. A fuzzy matching model based on Bayesian rules is built accordingly. Bayesian matching probability is based on license plate similarity and considers the auxiliary information. The model is of high precision and effectiveness. It is valuable in expressway toll collection data analysis using big data technology. © 2017, Aracne Ed. All rights reserved.