The application discloses a user indoor and outdoor state discrimination method based on
mobile phone signaling data, comprising the following steps:
mobile phone signaling data preprocessing; potential indoor trajectory point identification; potential indoor trajectory point main connection
base station type identification and signaling switching
feature extraction; building coverage and height extraction in the service range of a
macro cellular
base station;
random forest model training and parameter optimization for discriminating the indoor and outdoor state of a user at a potential indoor trajectory point; indoor and outdoor state discrimination of the user and
time distribution representation. The application can break through the limitations of small application range and difficult data collection of traditional methods, can comprehensively discriminate the indoor and outdoor state of a user on a large scale, can analyze the
time distribution of the indoor and outdoor state of the user, and is helpful for reasonably constructing city public services and developing city planning.