Method for splitting ambiguous path tolls for highways based on license plate recognition

Abstract

The invention relates to a method for splitting ambiguous path tolls of highways based on license plate recognition, which is applied to a system for splitting ambiguous path tolls for the highways based on license plate recognition. The method comprises the following steps of: (1) initializing the system, and setting reference values; (2) receiving license plate recognition information from a lane license plate recognition device and a door frame type license plate recognition device at an entrance and an exit, comparing the license plate recognition information and determining matched vehicles; (3) performing the real-time toll distribution for the matched vehicles, and calculating matching rates at the end of a day; and (4) making statistics every day according to the reference values and the license plate recognition information of the matched vehicles, and determining a method for splitting the tolls of unmatched vehicles according to the matching state, wherein a double door frame type splitting method, a single door frame type splitting method or a historical average proportion splitting method is adopted according to proportional relations of the matched vehicles. The method for splitting the ambiguous path tolls for the highways based on the license plate recognition has the advantages of ensuring that the tolls of vehicles of which the paths of are not identified obtains reasonable and objective splitting results so as to guarantee the legitimate interests of highway owners.

Description

Technical field [0001] The invention relates to a method for splitting tolls of ambiguous paths on expressways, in particular to a method for splitting tolls of ambiguous paths of expressways based on license plate recognition. Background technique [0002] With the construction of expressways and the development of networking technology, the number of expressways in my country has reached 80,000 kilometers, and the road network has become more and more complex, forming a ring network structure. On the highway network section, there are two or more paths to choose between the same entrance and exit, especially the current diversification of investment entities, and each section is managed and maintained by different operators. What is the problem caused by this? Effectively identifying the paths of vehicles, and splitting the tolls to different road section owners in a reasonable and objective manner is the path ambiguity problem faced by the current highway operation system. [0...

AI Technical Summary

Problems solved by technology

Yet adopt above-mentioned method to have following defect: (1) the recognition rate of license plate and the matching rate of vehicle are affected greatly by weather, in the weather with lower visibility such as rain, fog and night, the captured image of license plate recognition equipment is not clear, affects the license plate Identification and vehicle matching, the proportional relationship of the matching rate of each model vehicle on the identified path is quite different from the actual proportional relationship of each model on the two paths, and the reliability of splitting is low; (2) affected by the status of the equipment Large, when the equipment maintenance cannot keep up or equipment failure occurs, the license plate recognition equipment cannot accurately obtain the license plate information, and the proportional relationship of the matching rate of each type of vehicle that has identified the path cannot objectively reflect the proportional relationship of each type of vehicle on the ambiguous path. Even failure; (3) this method can not adapt to the weather and equipment running status and matching state adjustment split method but directly splits the vehicle tolls of the unidentified path according to the proportional relationship of the matching rate of each type of vehicle that has identified the path. points, does not conform to the objective reality

(4) According to the practice of vehicle traffic, under normal circumstances, the matching rate of each route and the proportional relationship of each type of vehicle are stable within a certain range of values, but the existing methods do not refer to the historical information of these data to adjust the splitting method to adapt to poor ability

[0004] In short, splitting the tolls of vehicles with unidentified paths completely copying the proportion of vehicles with identified paths cannot objectively reflect the actual traffic conditions of ambiguous paths, and the split results of tolls are not accurate and fair

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