Trajectories Mining for Traffic Condition Renewing
نویسنده
چکیده
Advances in wireless transmission and increasing quantity of GPS in vehicles flood us with massive amount of trajectory data. The large amounts of trajectories imply considerable quantity of interesting road condition that current traffic database lacks. Mining live traffic condition from trajectories is a challenge due to complexity of road network model, uncertainty of driving behavior as well as imprecision of trajectories. In this paper, road linear reference system, road segmentation and road condition models are employed in preprocessing trajectory data to lower dimension of trajectory mining problems and reduce uncertainties and imprecision of raw trajectories. The trajectory mining problem includes the one near road intersection and the one in general road segment. The former focuses on finding turn information of road intersection, while the latter focuses on extracting road live condition. The experimental results show that the mining algorithm is effective and efficient in traffic condition mining.
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