Aggregation and comparison of trajectories Nirvana Meratnia and Rolf A. de By   View Paper (PDF)   Return to Spatio-temporal data handling Abstract Dealing with moving objects necessitates having available complete geographical traces for determining exact or possible locations that objects have had, have or will have. This is where trajectory determination plays an important role, and on which classification, aggregation and comparison methods must be built. The purpose of aggregation is to identify similar trajectories and to represent them by a single trajectory.Although much work has been done in similarity measurements for time series data, they mainly deal with one dimensional time series. On the other hand, they are good for short time series and in absence of noise, which is definitely not the case for moving objects. This paper describes different approaches to aggregate similar trajectories. DiSC'03 © 2003 Association for Computing Machinery