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Airport apron vehicle driving time prediction method

A vehicle driving and time prediction technology, which is applied in forecasting, traffic control system of road vehicles, traffic flow detection, etc., can solve problems such as complex apron road network data and difficulty in obtaining vehicle driving time, and achieve both data structure Effect

Pending Publication Date: 2022-04-19
青岛民航凯亚系统集成有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Since the apron is the place where aircraft and many engineering support vehicles operate, there are many vehicles providing support services for aircraft on the apron. In addition, the aircraft is taxiing, and the data of the apron road network is complex. The operation of vehicles is subject to operating rules, other vehicle operating dynamics, Aircraft operating dynamics, geographic information factors, etc., so it is difficult to obtain relatively accurate vehicle travel time

Method used

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  • Airport apron vehicle driving time prediction method
  • Airport apron vehicle driving time prediction method
  • Airport apron vehicle driving time prediction method

Examples

Experimental program
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Embodiment

[0030] Such as figure 1 , 2 As shown, a method for predicting the travel time of an apron vehicle, the method is as follows:

[0031] A. Collect basic vehicle data and historical vehicle location data of at least one week on the apron to obtain the start time and end time of the vehicle task, and establish a vehicle task list associated with the start time and end time of the vehicle task. Wherein, the historical vehicle location data includes vehicle ID, real-time vehicle location information, driving speed, driving direction, and vehicle terminal status; the historical vehicle location data structure can be counted according to the case in Table 1.

[0032]

[0033]

[0034] Table I

[0035] The vehicle basic data is obtained through flight history data, which includes vehicle personnel security history data, flight operation history data, flight security history data, airport seat geographic information point data, and airport parking space point data. The vehicle ...

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PUM

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Abstract

The invention discloses an airport apron vehicle driving time prediction method, which is characterized by comprising the following steps of: A, acquiring vehicle basic data and vehicle position historical data of at least one recent week of an airport apron to obtain vehicle task starting time and ending time, and establishing a vehicle task list associated with the vehicle task starting time and ending time; b, constructing a vehicle driving time prediction model; and C, performing prediction calculation according to the vehicle driving time prediction model. According to the invention, a logic processing method based on historical data is used to calculate the driving time of the guarantee vehicle at different machine positions at different dates and time, so that whether the guarantee vehicle can arrive at a guarantee operation point on time can be estimated in advance in specific guarantee scheduling management.

Description

technical field [0001] The invention relates to the field of operation and driving of apron vehicles, in particular to a method for predicting the travel time of apron vehicles. Background technique [0002] Apron support is an important part of flight operation support. Whether the driving time of the support vehicles can be accurately estimated is critical to predicting in advance whether the support vehicles can reach the support operation point on time in the specific support dispatch management. Since the apron is the place where aircraft and many engineering support vehicles operate, there are many vehicles providing support services for aircraft on the apron. In addition, the aircraft is taxiing, and the data of the apron road network is complex. The operation of vehicles is subject to operating rules, other vehicle operating dynamics, Aircraft operating dynamics, geographic information factors, etc., so it is difficult to obtain relatively accurate vehicle travel tim...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/06G08G1/01G08G1/052G08G1/056
CPCG06Q10/04G06Q10/06311G06Q10/06312G08G1/0129G08G1/052G08G1/056
Inventor 陈瀚李文清刘海鹏陈晓刘青刘晓疆战嘉馨
Owner 青岛民航凯亚系统集成有限公司
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