The invention discloses an online car-hailing identification method and system based on a cluster judgment model. The method comprises the steps of (1) obtaining original data, randomly selecting a plurality of known taxi driver users as a sample set M, and randomly selecting driver users of unknown categories as a sample set N, (2) carrying out characteristic extraction, (3) analyzing characteristics, (4) establishing a model, and (5) importing collected unknown driver signaling data into the model established in the step (4) to carry out judgment. With the signaling data of a mobile phone as a basis, the moving characteristics of a driver is extracted, under the condition that only one category of data label is known, whether the data of an unknown label belongs to the category or not is judged, which is fast and convenient, a result of identification can be used by a traffic law enforcement department to fight illegal online car-hailing, the traffic law enforcement department is helped to rapid position a suspected vehicle, the labor cost of law enforcement is reduced, and the working efficiency is improved.