App-assisted travel surveys use location and motion sensors to detect stops and tracks. This discussion paper describes the algorithms for stop detection based on time-location data. In addition, it performs a sensitivity analysis for parameters that can be tuned in the stop detection.
Travel surveys with apps focus on reduction of respondent burden. An option to reduce burden is to automate stop detection from location and motion sensor data. Respondents do not have to provide stops and only have to check stops as detected.