Key techniques for predicting the uncertain trajectories of moving objects with dynamic environment awareness
作者： Shaojie Qiao , Xian Wang , Lu’an Tang , Liangxu Liu , Xun Gong
DOI: 10.1007/BF03325759
关键词:
摘要: Emerging technologies of wireless and mobile communication enable people to accumulate a large volume time-stamped locations, which appear in the form continuous moving object trajectory. How accurately predict uncertain mobility objects becomes an important challenging problem. Existing algorithms for trajectory prediction databases mainly focus on identifying frequent patterns, do not take account effect essential dynamic environmental factors. In this study, general schema predicting trajectories with environment awareness is presented, key techniques are addressed detail. order trajectories, algorithm based time Bayesian networks (CTBNs) improved applied, takes factors into full consideration. Experiments conducted synthetic data verify effectiveness algorithm, also guarantees performance as well.
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