|Project Description: ||The advance of sensing technology allows us to collect vast amount of spa-
tiotemporal data that include both spatial and temporal information. To extract
useful information from the data saved in the database so as to facilitate decision
making, efficient query techniques are required. In this work, an efficient similarity
search algorithm for spatiotemporal scenario data, which is a new data type, is re-
viewed and implemented. This similarity search algorithm is prototyped in Matlab
and implemented in Java for higher efficiency. Comparative simulation studies show
the efficiency of the Java-based implementation.