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A map matching and floating car technology, applied in the field of intelligent transportation systems, can solve the problems of low accuracy and large errors
Active Publication Date: 2014-01-08
沈阳世纪高通科技有限公司
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[0004] However, due to the influence of the atmosphere, weather, satellite orbit error, satellite clock error, antenna phase, etc. during the process of track points being acquired by the GPS device, the coordinates of the track points acquired by t
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Embodiment 1
[0028] The embodiment of the present invention provides a method for matching floating car trajectory maps, such as figure 1 As shown, the method includes:
[0029] 101. Acquire at least one road corresponding to each track point in the track point sequence.
[0030] Wherein, the distance between the track point and the corresponding at least one road is less than or equal to a preset threshold, and the preset threshold can be set according to actual conditions. For example, the preset threshold is configured to be 200 meters. At this time, the distance between the road corresponding to the trajectory point and the trajectory point is less than or equal to 200 meters, and for roads with a distance greater than 200 meters from the trajectory point, no As the road corresponding to the track point, the matching accuracy can be improved.
[0031] 102. According to the distance between the track point and each road in the corresponding at least one road, calculate the road matching proba...
Embodiment 2
[0046] The embodiment of the present invention provides a method for matching floating car trajectory maps, such as image 3 As shown, the method includes:
[0047] 301. Acquire at least one road corresponding to each track point in the track point sequence.
[0048] Wherein, the distance between the track point and the corresponding at least one road is less than or equal to a preset threshold, and the preset threshold can be set according to actual conditions. For example, if the preset threshold is configured as 100 meters, at this time, the distance between the road corresponding to the track point and the track point is less than or equal to 100 meters, and for the road with the distance from the track point greater than 100 meters, no As the road corresponding to the track point, the matching accuracy can be improved.
[0049] 302. Calculate the road matching probability between the track point and each road in the at least one corresponding road according to the distance betw...
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Abstract
The embodiment of the invention discloses a floating car track map matching method and a floating car track map matching device, and relates to the field of an intelligent traffic system. The matching error of the floating car track on a map can be reduced, and the matching accuracy can be improved. The method comprises the following steps that firstly, at least one road respectively corresponding to each track point in a track point sequence is obtained, then, the road matching probability between the track points and each road is calculated according to the distance from the track point to each road in the at least one road, next, the road transfer probability from each road corresponding to the track point to each road corresponding to a next track point is calculated, in addition, a plurality of floating car tracks corresponding to the track point sequence are traversed according to the at least one road respectively corresponding to each track point, and finally, the route tracks of a floating car matched on the map are obtained from the floating car tracks according to the road matching probability and the road transfer probability.
Description
Technical field [0001] The invention relates to the field of intelligent transportation systems, in particular to a method and device for matching floating car track maps. Background technique [0002] Floating car technology is one of the key technologies used in the field of intelligent transportation to obtain real-time road condition information in recent years. The basic principle is to match the trajectory of the floating car on the map based on the position, direction and speed information of the vehicle that is regularly recorded during the driving of the floating car equipped with GPS (Global Positioning System). [0003] At present, when matching the trajectory of a floating car on the map, usually first obtain each trajectory point on the trajectory of the floating car, and then match the road sequence composed of the roads with the closest distance to each trajectory point on the map as a floating car The actual trajectory. [0004] However, since the track point is acq...
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