Highway green channel vehicle transportation planning system based on big data driving

A big data-driven, expressway technology, applied in the field of intelligent transportation, can solve the problems of driver-side interaction that has not yet established inspection business, can not enjoy the green traffic reduction policy, and the information is not comprehensive enough, etc.

Pending Publication Date: 2022-07-22
XI'AN PETROLEUM UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The information obtained through these channels may not be comprehensive enough, and there are many uncertainties, which may lead to non-compliance with the requirements of the green traffic reduction and exemption due to the understanding deviation of the green traffic drivers and the inability to enjoy the green traffic reduction and exemption policy
The existing system has not yet established the interaction between the inspection business and the driver

Method used

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  • Highway green channel vehicle transportation planning system based on big data driving
  • Highway green channel vehicle transportation planning system based on big data driving
  • Highway green channel vehicle transportation planning system based on big data driving

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Embodiment

[0051] This embodiment relates to a big data-driven expressway green-to-vehicle transportation planning system, such as figure 1 , figure 2 Shown: including: data acquisition layer, data analysis layer, data storage layer and data display layer;

[0052] The data collection layer: collects the data and network crawling data of green vehicles passing the station inspection record, forms the highway green traffic big data, and builds the basic data source of the expressway green traffic transportation planning system; Green traffic big data is preprocessed and stored in a standardized format;

[0053] The data analysis layer: based on data fusion and data-driven algorithms to analyze the characteristics of highway green traffic;

[0054] The data storage layer: the basic data of the data acquisition layer, the process data and analysis conclusions of the data analysis layer, and the system operation log are stored by module and by topic;

[0055] The data display layer: faci...

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PUM

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Abstract

The invention provides an expressway green channel vehicle transportation planning system based on big data driving. Comprising a data acquisition layer, a data analysis layer, a data storage layer and a data display layer, according to the method, a green channel vehicle driver is taken as a research object, typical disqualification reasons and types in highway green channel vehicle checking business data are mined, and a data-driven algorithm and text analysis are taken as technical means, so that the green channel vehicle driver timely knows green channel vehicle policy dynamics and easily confused directories of disqualified products; and plans of schemes such as cargo transportation, loading requirements, transportation routes and the like are provided for drivers.

Description

technical field [0001] The invention relates to the field of intelligent transportation; in particular, it relates to a planning system for expressway green open to traffic driven by big data. Background technique [0002] The expressway green passage (referred to as Green Pass) is a special passage for vehicles to ship fresh agricultural products. At present, the technology is still at the level of statistical description of qualified and unqualified green traffic vehicles, and no in-depth research has been carried out on the laws and mechanisms of unqualified green traffic vehicles, and no relevant research has been carried out on the text data in the records. Compared with the current channels for green traffic drivers to obtain policy information and check business, most of them are through information retrieval and experience exchange between drivers. The information obtained through these channels may not be comprehensive enough, and there are many uncertainties, whic...

Claims

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Application Information

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IPC IPC(8): G06F16/951G06F16/33G06F40/216G06F40/289G06Q50/30
CPCG06F16/951G06F16/3335G06F16/3344G06F16/3346G06F40/289G06F40/216G06Q50/40
Inventor 陈娇娜陈学娜陶伟俊李道峰
Owner XI'AN PETROLEUM UNIVERSITY
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