A Human Trajectory Estimate Based on Individual Mobility Pattern Library

To predict track of an individual is an important problem in Intelligent Transportation System(ITS). In this paper, we present the individual mobility pattern to resolve the problem of the incompleteness of the records in the smart card by analyzing travel data. An individual mobility pattern library (IMPL) based on actual smart card data of Beijing is implemented and has been used as an application of alighting information estimating. The result of the estimation comes out to be the best to our knowledge, as well as the pattern coverage is nearly completed. IMPL can be used in other fields related to traveling behavior, such as alighting information completion, human trajectory estimation, etc. Moreover, IMPL can be constructed from the boarding information (or alighting information with some slight modification), which promises to remedy the drawback of incompleteness of smart card data.