Green channel vehicle checking method based on big data analysis, research and judgement

Abstract

The invention relates to a green channel vehicle checking method based on big data analysis, research and judgement. The method comprises the steps that green channel checking data is combined with charged vehicle passage data to form a green channel information big data database, on the basis, starting from the license plate number, tonnage, money amount, entrance-exit stations, vehicle types, cargo types and other attributes, analysis, research and judgement are conducted, data support is provided for green channel vehicle checking, green channel checking of the front end is guided in transition from manual judgement and experience judgement to data judgement, and accordingly the checking efficiency is improved; green channel vehicles are subjected to compiled analysis, the statistics workload is reduced, the efficiency of checking the green channel vehicles is improved, the inspection and rechecking difficulty is lowered, the effectiveness of cracking down the green channel vehicleswhich do not accord with the standard is high, analyzed, researched and judged cargo, vehicle, section and space-time distribution provides powerful decision support and guidance for the toll road management department and the transportation department, and the speed of checking the green channel vehicles and the traffic capacity of toll stations are improved.

Description

technical field [0001] This patent application belongs to the technical field of intelligent traffic management and expressway toll management, more specifically, it relates to a green pass vehicle inspection method based on big data analysis and judgment. Background technique [0002] The green channel (referred to as the green channel) is a special channel for vehicles to ship fresh and live agricultural products. Here, we must first clarify the concept of fresh agricultural products. Fresh agricultural products refer to fresh vegetables, fruits, fresh aquatic products, live poultry, fresh meat, eggs, milk, potatoes, sweet potatoes, fresh corn, and fresh flowers. The deep processing of these items, as well as flower seedlings, grain, etc., do not belong to the scope of fresh agricultural products, and cannot enjoy the green channel transportation policy. [0003] At present, there are mainly ray fluoroscopy equipment, cameras, document scanning equipment, law enforcement...

AI Technical Summary

Problems solved by technology

The deep processing of these items, flowers, seedlings, grain, etc. do not belong to the scope of fresh agricultural products, and cannot enjoy the green channel transportation policy.

[0003] At present, there are mainly ray fluoroscopy equipment, cameras, document scanning equipment, law enforcement recorders, cobalt 60, and manual inspection of goods on expressway green passages. The management methods, detection methods, and stored data of each expressway are different. There is no unified standard testing specification, there are problems such as not being able to cover the entire road section, low inspection efficiency, incomplete green pass data, heavy statistical workload, difficult inspection and re-inspection, blacklist of each road section and suspect vehicles are not shared, and management is chaotic. In order to solve the above problems, it is necessary to build a platform for expressway green channel inspection and big data comprehensive management to solve the above problems

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