Road matching method, system, device and storage medium based on grid division
A technology of grid division and matching method, applied in the direction of road network navigator, etc., can solve problems such as limited road information, inability to meet the development of traffic application software, and inability to use algorithms to achieve the effect of improving quality
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Embodiment 1
[0050] like figure 1 As shown, the present embodiment provides a road matching method based on grid division, comprising the following steps:
[0051] S1. Establish a map grid division model.
[0052] S2. Obtain the track data set to be matched, and clean the track data set.
[0053] S3. Acquire trajectory data from the cleaned trajectory data set in sequence, and combine the trajectory data with the preset map grid division model to perform road matching until all trajectory data are matched.
[0054]Existing road matching algorithms have the following disadvantages: (1) Traditional road matching algorithms require complete road network information data or topological structure. However, current general-purpose electronic maps (such as Baidu Maps) do not support road network data retrieval, but only support location retrieval to obtain road information where the point is located. (2) The positioning data in the original trajectory data is based on the GPS positioning syste...
specific Embodiment
[0083] The following is a detailed analysis of the above methods combined with Baidu map and Guangzhou map.
[0084] like Figure 4 As shown, in this specific embodiment, road matching is performed on Didi car-hailing track data and Baidu map road network data. Taking Guangzhou as an example, due to the special geographical shape of Guangzhou, if it is directly divided into grids, there will be a large number of redundant grids in other cities, and the number of requests for Baidu Maps API will be wasted. However, the road matching algorithm based on two-level grid division proposed in this embodiment can effectively save the number of requests for Baidu map API.
[0085] Step 1: Carry out grid division and road information extraction for urban areas. details as follows:
[0086] Step 1.1: Take the urban area to be processed as the division object on the Baidu map, and select an anchor point (x0, y0) in the area as the reference point. For example, take the entire area of ...
example 2
[0127] like Image 6 As shown, the present embodiment provides a grid-based road matching system, including:
[0128] The data cleaning module is used to obtain the track data set to be matched, and clean the track data set;
[0129] The road matching module is used to sequentially acquire trajectory data from the cleaned trajectory data set, and combine the trajectory data with the preset map grid division model to perform road matching until all the trajectory data are matched.
[0130] The road matching system based on grid division in this embodiment can execute the road matching method based on grid division provided in the first method embodiment of the present invention, can execute any combination of implementation steps in the method embodiment, and has the corresponding functions of the method and beneficial effects.
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