Post-processing Procedures for Person-based GPS Data collected in the French National Travel Survey 2007–2008

摘要

A challenge in the post-processing of data for a passive GPS-based travel survey,which constitutes the essence of this paper, is to develop a series of methods to automaticallyrestore continuous sequences, both in space and in time. This means that trips and activitiesoccurring during the survey time should be programmatically identified in chronologicalorder and should respect conventional definitions. Referring to the research results of ourcolleagues, and combining the experience from both the French National Travel Survey2007–2008 and the Personal Mobility Survey in Lille, a series of methods has been developedand applied: 1) Filtering invalid data, 2) Cutting the data chains into “moving” and “stopping”segments, 3) Estimating missing data, 4) Assuming the mode choice, 5) Grouping stop pointsinto visited locations, 6) Identifying the type of visited points, 7) Map-matching, 8)Connecting segments to trips. In order to use the maximum available information andguarantee the quality of the results, some feedback between the different methods isimplemented within the algorithm. The resulting processing system is ready for use in otherapplications.