A Travel Data Collection Method Based on Big-data from a Smart Phone APP

travel of Urban residents is one of the fundamental questions in transportation research.According to the characteristics of the current mobile phone application,this paper focuses on extracting residents'travel data from CI (Cell-ID Identify)location data generated during the interaction between mobile phone application and wireless communi-cation network.A total of 3 241 238 CI positioning data in 2013 and 2014 has been collected from"Yi Xin"App,which is then preprocessed through dimensionality reduction,discretization and de-noising.This paper develops an efficient matrix operation algorithm to extract origin/destination information and inbound and outbound traffic flow data of each residen-tial area based on the conversion of CI positioning data into standardized 0-1 matrices.Matlab is used to implement this algorithm.The results show that,comparing to circulation algorithm of data traversal search,this algorithm can achieve a higher efficiency which shorten the time from days to minutes.An index R has been presented to evaluate the integrity and authenticity of the derivate users′OD matrices.The index R of OD matrices is 1 9.1% in 2013,and 69.3% in 2014. The results indicate that the CI positioning data with higher daily data amount (10.6 in 2013 and 47.4 in 2014)has higher integrity and authenticity.However,this index only reflects the overall condition of trips from all residential areas,and the fact if this index can fully and truthfully represent travel behavior of each individual traffic analysis zone should be fur-ther studied.