Curvature-constrained gnss floating car map matching method and device
A technology of map matching and floating car, which is applied in the fields of GNSS navigation and positioning and intelligent transportation, and can solve problems such as reflecting the trajectory of floating car.
Inactive Publication Date: 2016-07-13
CHINA UNIV OF PETROLEUM (EAST CHINA)
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Problems solved by technology
The features used in the current matching method cannot fully use the existing position information to reflect some overall geometric features of the floating car trajectory, and do not use the features that can reflect the cumulative curvature of the trajectory curve to perform matching
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[0087] Below in conjunction with accompanying drawing and specific embodiment the present invention is described in further detail:
[0088] combine figure 1 As shown, the curvature-constrained GNSS floating car map matching device includes a matching control unit, a trajectory data processor, a road data processor, a single-point feature matcher, an associated feature matcher, and a best match calculator. The above functional devices exchange data through the data bus.
[0089] The matching control unit is used to realize the functions of data transmission between various functional devices and process control of the map matching method;
[0090] Trajectory data processor, used to realize functions such as storage, reading and writing, and curvature integral calculation of GNSS trajectory data;
[0091] The road data processor is used to implement functions such as storage, reading and writing, curvature calculation and path calculation of road network data;
[0092] Singl...
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The invention discloses a curvature-restrained GNSS floating car map matching method and device. According to the method, the curvature integral value of a real track between two track points is estimated by calculating the azimuth angle between two adjacent track points in a GNSS track point sequence, retaining the matching process by comparing the curvature integral value and the curvature integral value of a candidate path corresponding to the two points, and obtaining a matching result with the largest similarity and restrain from the road net. Compared with matching feature adopted in an existing floating car map matching method, the curvature integral value is adopted by the method to depict the floating car track curve bending degree well, the optimum matching result with the largest similarity of the feature value as the restrain condition is searched out from the road net according to the accumulation bending degree between the two track points of a GNSS floating car, and after the curvature restrain condition is adopted, the map matching accuracy of GNSS floating car track data can be improved, and the matching efficiency is improved.
Description
technical field [0001] The invention belongs to the field of GNSS navigation and positioning and intelligent transportation, and in particular relates to a curvature-constrained GNSS floating car map matching method and a curvature-constrained GNSS floating car map matching device. Background technique [0002] In the current field of intelligent transportation, GNSS floating vehicles have become an important means of collecting traffic and travel information. With the advent of the era of Internet big data, the demand for transportation-oriented geographic information services (Geographic Information Services) has also increased significantly, and information about transportation and travel is also one of the important components of the geographic information data it supplies. The floating car map matching method is the key technology to realize traffic and travel information data mining. [0003] At present, the urban road traffic department obtains the geographic coordin...
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IPC IPC(8): G01S19/38
CPCG01C21/30G01S19/39
Inventor 曾喆张彤刘善伟万剑华
Owner CHINA UNIV OF PETROLEUM (EAST CHINA)