Research Article
An Efficient Trajectory Negotiation and Verification Method Based on Spatiotemporal Pattern Mining
Algorithm 2
Spatiotemporal weighted pattern mining algorithm.
1. Input: Item sets that satisfy flight intervals constraints at different times | 2. Output: Item sets satisfying flight intervals and weight constraint | 3. For each extension | Calculate the MWS and BNWS of the extension | Generate single candidates | Use a pruning strategy to prune some candidates | Delete candidates that do not satisfy the weight constraint | Sort Candidates | Construct the precursor item and add the candidate item to the extension item for recursive mining until the candidate item is empty | End for |
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