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Expressway green channel vehicle station-crossing inspection time prediction method

A highway and time prediction technology, applied in the field of intelligent public transport, can solve problems affecting the timeliness of transportation of fresh and live agricultural products, damage to fresh and green vegetables, and slow speed of green passages

Pending Publication Date: 2021-06-04
XI'AN PETROLEUM UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In general, manual inspection of goods takes about 5-10 minutes per vehicle, but due to actual conditions such as vehicle models, quantity of goods carried, mixed loading conditions, closed vehicles that are not easy to open for inspection, and bad weather, the inspection takes time. Uncertain
The green channel of the toll station is slow in traffic speed, which is easy to cause vehicle queuing and congestion, which is not conducive to smooth traffic
According to the faster speed of 5 minutes to register and check a green pass, it is estimated that if there are 5 vehicles in front of the green pass when it arrives at the toll booth during busy hours, it will take half an hour before he can pass the station, which will affect the transportation of fresh and live agricultural products. Timeliness
How long does it take to check the inter-provincial transport vehicles, which not only delays the transport time, but also easily causes damage to fresh and green vegetables due to repeated inspections of fresh agricultural products, resulting in a decrease in product value

Method used

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  • Expressway green channel vehicle station-crossing inspection time prediction method
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  • Expressway green channel vehicle station-crossing inspection time prediction method

Examples

Experimental program
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Embodiment

[0088] This embodiment relates to a method for predicting the inspection time of expressway green pass vehicles passing stations. For the process, see figure 1 Shown: Include the following steps:

[0089] A. Process the freeway traffic data set and extract the data fields required for research;

[0090] B. Perform data preprocessing on the extracted data fields;

[0091] C. On the basis of data preprocessing, a historical average model is established using the two characteristics of vehicle type and inspection toll station to predict the inspection time of expressway green pass vehicles;

[0092] D. On the basis of data processing, using the attributes of vehicle type, import weighing tonnage, fresh and live agricultural products, cargo compartment type, export toll station, arrival time, meteorological factors, and vehicle credit rating, based on K-nearest neighbors and its local improvement The data-driven model predicts the inspection time of expressway green pass vehicle...

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PUM

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Abstract

The invention provides an expressway green channel vehicle station-crossing inspection time prediction method. Comprising the following steps: extracting data fields required by research; performing data preprocessing; predicting the station-crossing checking time of the green channel vehicles on the expressway; predicting the station-crossing checking time of the green channel vehicles on the expressway; comparing and analyzing the precision of the two prediction models, realizing the prediction of the station-crossing check time of the green channel vehicles on the expressway, and showing better adaptability in actual data verification. According to the invention, a green channel vehicle inspection time prediction model is established based on a data-driven algorithm, so that the inspection time required by the green channel vehicle can be more accurately pre-judged; personnel shifts can be reasonably arranged according to the prediction time, and a travel plan can be reasonably planned according to the prediction time; the invention is helpful for realizing the optimization of the inspection time, effectively improving the inspection efficiency and the service level of the toll station, and providing powerful decision support and guidance for a toll road management department and a transportation department.

Description

technical field [0001] The invention belongs to the field of intelligent public transport; in particular, it relates to a method for predicting the check time of expressway green pass vehicles. Background technique [0002] The expressway green channel (referred to as the green channel) is a special channel for vehicles to ship fresh and live agricultural products. According to the regulations, vehicles transporting fresh and live agricultural products or legally mixed designated fresh and live agricultural products do not exceed 20% of the approved load or compartment volume, and the vehicles that are overloaded by no more than 5% are legal "green traffic", and the tolls will be reduced or exempted. 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 t...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/26G06F16/215G06F16/2458G06F16/29G06K9/62
CPCG06Q10/04G06Q50/26G06F16/215G06F16/2465G06F16/29G06F2216/03G06F18/24147
Inventor 陈娇娜马力陈学娜张翔李道峰
Owner XI'AN PETROLEUM UNIVERSITY
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