FTS:A Practical Model for Feature-Based Trajectory Synthesis
Driven by the GPS-enabled devices and wireless communication technologies,the researches and applications on spatio-temporal databases have received significant attention during the past decade.Hence,large trajectory datasets are extremely necessary to test high performance algorithms for these applications and researches.However,real-world datasets are not accessible in many cases due to privacy concerns and business competition.For this reason,we propose a practical model FTS to generate new trajectories in this work.We generate new trajectories based on features extracted from original dataset and validate the result by comparing the features of generated trajectories with the given dataset finally.
Jiapeng Li Wei Chen An Liu Zhixu Li Lei Zhao
School of Computer Science and Technology,Soochow University,Suzhou,China
国际会议
International Asia-Pacific Web Conference(第18届国际亚太互联网大会)
苏州
英文
28-40
2016-09-23（万方平台首次上网日期，不代表论文的发表时间）