The invention discloses a query method and
system based on a trajectory index structure, and the method comprises the steps: S1, constructing a probabilistic maneuvering
R tree: S11, receiving a to-be-inserted dynamic object, and modeling the motion uncertainty of the to-be-inserted dynamic object into a PMBR which is composed of a plurality of maneuvering unit groups; s12, inserting an object into a leaf node which enables the internal motion
confusion degree of the node to be increased to the minimum, if the inserted node overflows, executing a
node splitting method based on a future interaction
score, and selecting a division scheme which enables the interaction possibility of the two split nodes in a future time window to be minimum; s13, inserting an object at a leaf node; s14, splitting the nodes; and S15, updating the PMBR of the ancestor node upwards. And S2, receiving a query request, and returning a query result. According to the method, the
pruning efficiency of predictive query is remarkably improved. A flexible motion model is applied, and a
pruning strategy and accurate calculation are combined, so that the query performance is greatly improved while the accuracy is ensured.