摘要
为了提高空间网络上移动对象密度预测的准确性,提出了基于零历史(O-History)信息的预测方案。分析了空间网络(以城市道路网为例)上移动对象的移动特征,建立了基于概率后缀树(probabilistic suffix tree,PST)的密度预测模型,利用概率后缀树的思想进行移动对象的短期密度预测。从理论上证明了方案的合理性,实例结果表明了方案的有效性,为进一步的研究奠定了基础。
To increase the accuracy of moving objects density prediction,a new prediction scheme based on zero history（O-History） is proposed.The feature of moving objects is analyzed.The density prediction model based on probabilistic suffix tree is created.Shortterm density of moving objects is predicted.Performance analysis and experimental results show that the scheme achieve better scrambling effect.Some useful conclusions are obtained through the analysis and explanation of the experimental data,which lay a solid foundation for further research.
出处
《计算机工程与设计》
CSCD
北大核心
2010年第3期663-666,共4页
Computer Engineering and Design
关键词
空间网络
概率后缀树
移动对象
预测
密度
spatial networks
probabilistic suffix tree
moving object
prediction
density
