Title :
A Spatio-temporal Simulation Model for Movement Data Generation
Author :
Alberg, D. ; Last, M. ; Elnekave, S.
Author_Institution :
Ben Gurion Univ. of the Negev, Beer-Sheva
Abstract :
The real-world process of generating a large spatio-temporal data collection presents a very difficult technical problem. First, this process is very expensive, requiring a lot of various high-technology software tools and modern hardware infrastructure (sensors, servers, GPS infrastructure etc.) installations; second, the recorded trajectories sometimes cannot represent any special traffic or movement patterns. The simulation framework introduced in this paper can generate diverse trajectory datasets based on predetermined movement patterns.
Keywords :
data mining; very large databases; visual databases; high-technology software tool; large spatio-temporal data collection; modern hardware infrastructure; movement data generation; movement pattern; spatio-temporal simulation model; trajectory dataset; Conferences; Data mining; Global Positioning System; Hardware; Land vehicles; Prediction algorithms; Privacy; Roads; Spatiotemporal phenomena; Traffic control; Spatio-temporal simulation model; movement data generation; movement patterns; trajectory;
Conference_Titel :
Data Mining Workshops, 2008. ICDMW '08. IEEE International Conference on
Conference_Location :
Pisa
Print_ISBN :
978-0-7695-3503-6
Electronic_ISBN :
978-0-7695-3503-6
DOI :
10.1109/ICDMW.2008.56
