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- W4382626779 abstract "The Time-Period-Based Most Frequent Path (TPMFP) problem has been a hot topic in traffic studies for many years. The TPMFP problem involves finding the most frequent path between two locations by observing the travelling behaviors of drivers in a specific time period. However, the previous researchers over-simplify the road network, which results in the ignorance of transfer costs at intersections. To address this problem more elegantly, we built up an urban topology model consisting of Intersection Vertices and Connection Vertices. Specifically, we split the Intersection Vertices to eliminate the influence of transfer cost on finding TPMFP and generate Trajectory–Topology from GPS records data. In addition, we further leveraged the Footmark Graph method to find the TPMFP. Finally, we conducted extensive experiments using a real-world dataset containing over eight million GPS records. Compared to the current state-of-the-art method, our proposed approach can find more reasonable MFP in approximately 10% of cases during off-peak hours and 40% of cases during peak hours." @default.
- W4382626779 created "2023-06-30" @default.
- W4382626779 creator A5023967844 @default.
- W4382626779 creator A5079977172 @default.
- W4382626779 creator A5081669439 @default.
- W4382626779 date "2023-05-08" @default.
- W4382626779 modified "2023-09-27" @default.
- W4382626779 title "Finding the Time-Period-Based Most Frequent Path from Trajectory–Topology" @default.
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- W4382626779 doi "https://doi.org/10.3390/bdcc7020088" @default.
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