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- W2766124012 abstract "Map matching, as one of the key steps, is widely used in navigation, estimation of traffic flow, path planning, etc. With the emergency of large traffic track data, the demand for matching speed is becoming higher and higher. This paper describes a method of map matching based on grid index, which is used to quickly get the closest K candidate sections to improve the speed of map matching. When establishing the grid index, with characteristics of road network, this method can establish index for reference point, reduce the search space, and reduce redundancy of the storage. When selecting candidate sections, integrating the similarity between distance and direction, the distance is calculated by Helen formula, the method can avoid projection of track point to section and reduce the computation complexity. The experiment uses large datasets, which are respectively tested in the capability to resist noise, network adaptability, running speed, etc. The results show that when the elected candidate section K is 10, compared with the ground truth, the accuracy is over 99%, in Beijing datasets, compared with matching speed of a single track point and classical methods, the average is promoted 5000 times." @default.
- W2766124012 created "2017-11-10" @default.
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- W2766124012 date "2017-10-01" @default.
- W2766124012 modified "2023-09-26" @default.
- W2766124012 title "A Fast Map Matching Method by Using Grid Index" @default.
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- W2766124012 doi "https://doi.org/10.1109/icicta.2017.24" @default.
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