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Optimal gas station recommendation method and device

A gas station, the best technology, applied in the direction of instruments, data processing applications, forecasting, etc., can solve problems such as accuracy to be considered, poor timeliness, time-consuming, etc., to improve experience and avoid inaccurate data , the effect of improving accuracy

Active Publication Date: 2018-06-12
BEIJING TRANWISEWAY INFORMATION TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in this method, manual data processing takes a lot of time, the timeliness is not good, and the accuracy also needs to be considered

Method used

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  • Optimal gas station recommendation method and device
  • Optimal gas station recommendation method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0064] According to an embodiment of the present invention, a method for recommending an optimal gas station is provided, such as figure 1 shown, including:

[0065] Step 101: Collect the attribute data of each vehicle in real time, and predict the refueling capacity and busyness of each gas station at different time periods according to the historical attribute data within a preset time period and the information of each gas station;

[0066] In this embodiment, each vehicle is equipped with an on-board device, and the on-board device reports the attribute data of the corresponding vehicle every preset time interval; wherein, the preset time interval is, for example, 30 seconds.

[0067] Correspondingly, in step 101, the attribute data of each vehicle is collected in real time, specifically: the attribute data reported by the on-board equipment of each vehicle is collected in real time;

[0068] Among them, the attribute data includes: vehicle model, fuel tank inventory, dri...

Embodiment 2

[0109] According to an embodiment of the present invention, a device for recommending an optimal gas station is provided, such as figure 2 shown, including:

[0110] Acquisition module 201, for collecting the attribute data of each vehicle in real time;

[0111] The prediction module 202 is used to predict the refueling capacity and busyness of each gas station in different periods according to the historical attribute data and the information of each gas station collected by the collection module 201 within the preset time period;

[0112] The first determining module 203 is used to determine each pre-fueled vehicle according to the current attribute data collected by the collecting module 201;

[0113] The second determination module 204 is used to determine the candidate gas stations for each pre-refueling vehicle determined by the first determination module 203 in each gas station;

[0114] The selection module 205 is used to select the optimal gas station among the can...

Embodiment approach

[0141] According to an embodiment of the present invention, the device further includes: a judging module;

[0142] A judging module, configured to judge whether each pre-fueled vehicle determined by the first determining module 203 uses navigation;

[0143] Correspondingly, the second determining module 204 is specifically configured to: when the judging module determines that the navigation is used, according to the destination of the navigation, determine the candidate refueling stations corresponding to the pre-refueling vehicle in each refueling station located in the driving direction of the pre-refueling vehicle station; when the judging module judges that the navigation is not used, then determine the candidate gas station corresponding to the pre-refueling vehicle among the gas stations located around the pre-refueling vehicle.

[0144] According to an embodiment of the present invention, the selection module 205 specifically includes: a third prediction submodule, a ...

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Abstract

The invention discloses an optimal gas station recommendation method and device, which belongs to the field of intelligent traffic big data. The method comprises the steps that the attribute data of each vehicle are collected in real time; the refueling capacity and the busy degree of each gas station at different time periods are predicted according to the historical attribute data in a preset time period and the information of each gas station; according to the current attribute data, each pre-fueled vehicle is determined, and the candidate gas stations of each pre-fueled vehicle are determined in each gas station; the optimal gas station is selected among the candidate gas stations according to the predicted refueling capacity and busy degree of each gas station in a corresponding timeperiod in the candidate gas stations; and the optimal gas station is recommended to a corresponding vehicle. According to the invention, the method and device automatically collect and process data inreal time, which ensures the timeliness of the data, and avoids the risk of inaccurate data caused by manual misoperation; and the method and device automatically recommend the optimal gas station tothe driver of the corresponding vehicle, which brings convenience to the driver, and improves the experience of the driver.

Description

technical field [0001] The invention relates to the field of intelligent transportation big data, in particular to a method and device for recommending an optimal gas station. Background technique [0002] With the continuous development of the economy and the continuous improvement of people's living standards, the number of motor vehicles is also increasing exponentially. Subsequently, in the gas stations located on the main roads, the phenomenon of queuing for refueling has become the norm. The gas stations on the secondary road sections are relatively idle; in order to change this phenomenon, a recommendation method for the optimal gas station is proposed. The existing optimal gas station recommendation method is usually when the driver initiates a gas station search request. Based on static data collected and counted manually, the optimal gas station is recommended for drivers. However, in this method, manual data processing takes a lot of time, and its timeliness is n...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/30
CPCG06Q10/04G06Q50/40
Inventor 徐小康杨晓明孙智彬张鹤高张缙
Owner BEIJING TRANWISEWAY INFORMATION TECH