Automatic identification of points of interest in global navigation satellite system data: a spatial temporal approach

摘要: Past research in travel surveys has shown that a GPS mobile phone-based survey is useful tool for collecting information about individuals. While passive collection preferred to an active method, remains challenge due lack of high accuracy algorithms automatically identify trip starts and ends. This paper presents Automatic Spatial Temporal Identification Points Interest (ASTIPI), unsupervised spatial temporal algorithm POIs. ASTIPI utilizes the properties dataset obtain POI identification, even on reduced uses techniques conserve battery life devices. reducing outliers within POIs, also linear running time maintains orders location data so arrival departure can be easily extracted thus, users' trips quickly identified. Using real from devices, evaluations other existing are performed, showing obtains highest identification with average 88% when performing full datasets generated using Auto-Sleep module 59% both Critical algorithm.