Research on Moving Objects Trajectories Collection Based on Data Mining
Zhihu Wang · 2017 International Conference on Smart Grid and Electrical Automation (ICSGEA) · 2017
During the analysis of moving object trajectory data in transportation network, the optimal path recommendation for users is hot issues in recent research. This article proposes a grid-based mobile trajectory searching and mining algorithm. It adopts grid index to increase the time efficiency candidate set. The mining area, after gridding can convert space temporal trajectory sampling points in the region to grid sequence. Then improved DBSCAN algorithm is adopted and the constraints in neighbour region computation, distance between trajectories and velocity constraints of moving objects, are also taken into account. The simulation results show that grid-based mining algorithm improves the searching speed of algorithm and simplifies the trajectory data, which also improve the executing efficiency of the scheme.