Road section recognizing and matching method based on decision-making circle

Abstract

The invention discloses a road section recognizing and matching method based on decision-making circle and is mainly applicable to the path recognition of a vehicle navigation system and other path recognition fields employing positioning technology. The invention also solves the problem of inaccurate recognition of complicated road section of the vehicle navigation system. Decision-making circles are arranged in the road section areas difficult to be matched with the general map matching method, accurate points of all road sections in the decision-making circles are collected, the GPS position points of vehicles in the decision-making circles are matched with the accurate points through point-to-point mode, and the number of successful matches of the accurate points in each road section is under statistical comparison to determine the road section wherein the vehicle is located. The method overcomes the inaccurate matching problem of the general algorithm, also avoids erecting the site beacon station equipment and accordingly saves large quantity of human and material resources.

Description

technical field [0001] The invention belongs to the field of intelligent traffic map matching, and is applied to path recognition in vehicle navigation systems and other fields involving path recognition using positioning technology. Background technique [0002] In the vehicle navigation system, road segment identification and matching technology is one of the key technologies. When the vehicle is driving, the on-board equipment installed on the vehicle matches the GPS vehicle positioning information with the on-board electronic map, identifies the location of the vehicle on the road section, gives driving prompt information, and provides decision support for the driver. [0003] In the actual road network, the main road and the auxiliary road are usually in the same direction, parallel, and close to each other. The distance between the main road and the auxiliary road in the same driving direction is often about 5 meters. The existing GPS accuracy is usually greater than 1...

AI Technical Summary

Problems solved by technology

However, for parallel roads with similar distances and directions, it is difficult to use this road segment matching method to distinguish

Other map matching algorithms such as the shortest path, neural network, fuzzy logic and other methods are generally more complex in principle or calculation, and it is difficult to process data in real time

The method of adding a marking station on the roadside is to directly obtain the identification number of the road section through the communication between the on-board equipment and the roadside marking station to achieve the purpose of road section matching. Although this method can better solve the problem of inaccurate matching, it needs additional There is no roadside equipment on site, which costs manpower and material resources

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