Research on trajectory similarity matching model based on spatiotemporal trajectory big data

In order to effectively match the target vehicle with the trajectory of the passenger's mobile phone to be matched, this research proposed a trajectory similarity matching model of spatiotemporal trajectory big data. The model mainly adopts two advanced measurement methods: structural measurement of spatiotemporal trajectory and motion state measurement of spatiotemporal trajectory. The GPS trajectory of a vehicle traveling on a certain road within a time interval was used as the target trajectory, and the similarity between the trajectories was calculated Finally, the number of mobile phone trajectories matching the target vehicle was determined, and then the number of mobile phones matching the target vehicle was obtained Experimental results verify that the model could effectively match the target trajectory with the mobile phone trajectory, which was in line with the expected effect.