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The trajectory data of taxies containing time dimensional and spatial dimensional information is an important kind of traffic data. How to obtain valuable information from these data has become a hot topic in the field of intelligent transportation. Existing trajectory clustering algorithms can only compute similarities using partial characteristics of the trajectory data, leading to clustering results...
Taxi trajectory data is a kind of massive traffic data with spatial–temporal dimensions, and plays a key role in traffic management, travel analysis and route recommendation for residents. Analyzing trajectory data with traditional methods is complicated, but visualization techniques can intuitively reflect the change trend of spatial–temporal data and facilitate the mining of knowledge and laws in...
The aim of this paper is to reduce simulator sickness caused by the low refresh rate of display in smartphone-based VR system. Without regard to the improvement of hardware, the method proposed in this paper reduces simulator sickness by adding static symbol on the screen of the smartphone. A series of user-participation experiments were done to validate the effectiveness of the method. Participants'...
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