Hot route analysis method based on trajectory clustering
Wen Hai · Journal of Chongqing University of Posts and Telecommunications · 2011
With the development of smart device,mobile positioning and wireless communication technologies,numerous trajectory data constrained by road network can be collected from application fields such as transportation and logistics.Hot route analysis using trajectory data is beneficial for reflecting the motion and action patterns of moving objects without changing the spatio-temporal and semantic properties.In this paper,the crossing points of road network and semantic feature stops of trajectory are extracted as characteristic points for trajectory partition.The hot routes with higher semantic integrity and user attention degree can be acquired by analyzing the weight of sub-trajectories based on the result of trajectory clustering.Experiments show that the trajectory partition and hot route analysis methods are effective.