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Logistics demand prediction method and system for urban air traffic

A technology for air traffic and logistics requirements, applied in the field of urban logistics and transportation

Active Publication Date: 2022-02-18
CIVIL AVIATION FLIGHT UNIV OF CHINA
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

[0005] Aiming at the above-mentioned deficiencies in the prior art, the present invention provides a logistics demand prediction method and system for urban air traffic. For urban logistics that serve urban residents, such as food delivery and express delivery, the air traffic UAV can meet high Value, small size, and time-sensitive logistics requirements, the invention solves the flow forecasting problem of urban UAV logistics

Method used

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  • Logistics demand prediction method and system for urban air traffic
  • Logistics demand prediction method and system for urban air traffic
  • Logistics demand prediction method and system for urban air traffic

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Embodiment 1

[0061] Such as figure 1 Shown, the present invention provides a kind of logistics demand forecasting method of urban air traffic, and its implementation method is as follows:

[0062] S1. Traffic generation stage: Obtain the current logistics OD matrix of known traffic districts including the current logistics production volume and attraction volume, and predict the logistics attraction volume and production volume of each traffic district. The implementation method is as follows:

[0063] S101. Obtain the current logistics OD matrix including the current logistics production volume and attraction volume of each known traffic zone. If the current OD data is lacking, use the OD inversion method to distribute the current cross-sectional logistics traffic volume obtained from the traffic survey to each traffic zone. Correction then obtains the current logistics OD matrix, wherein, O represents the origin of transportation, D represents the destination of transportation, and the c...

Embodiment 2

[0183] Such as Figure 9 As shown, the present invention provides a kind of logistics demand forecasting system of urban air traffic, comprising:

[0184] The traffic generation module is used to obtain the logistics attraction and production volume of each known traffic area, and predict the logistics attraction and production volume of each traffic area;

[0185] The traffic distribution module is used to analyze and obtain the travel exchange volume between each traffic area according to the predicted logistics attraction and production volume of each traffic area;

[0186] The mode division module is used to analyze the sharing rate of light and small UAVs in urban logistics according to the travel exchange volume between various traffic areas, combined with safety, time, and cost, and predict the OD distribution matrix of this mode;

[0187] The traffic distribution module is used to design the UAV logistics route network, and distribute the predicted OD distribution mat...

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Abstract

The invention provides a logistics demand prediction method and system for urban air traffic, and belongs to the technical field of urban logistics traffic. The method comprises the steps: a traffic generation stage: carrying out prediction to obtain the logistics attraction amount and production amount of each traffic zone; a traffic distribution stage: according to the predicted logistics attraction amount and output amount of each traffic zone, analyzing to obtain the travel exchange amount between the traffic zones; a mode division stage: analyzing the sharing rate of the light and small UAVs in urban logistics according to the travel exchange amount among the traffic zones in combination with safety, time and cost, and predicting to obtain an OD distribution matrix of the mode; and a traffic distribution stage: designing an unmanned aerial vehicle logistics route network, and distributing the predicted flow of the ground and air traffic modes to the corresponding route network to complete demand prediction of urban air traffic logistics. The problem of flow prediction of urban unmanned aerial vehicle logistics is solved.

Description

technical field [0001] The invention belongs to the technical field of urban logistics transportation, and in particular relates to a logistics demand prediction method and system for urban air transportation using a light and small logistics unmanned aerial vehicle as a main vehicle. Background technique [0002] Nowadays, the pace of work and life of urban residents is accelerating, and the demand for convenient services has increased significantly. A large number of e-commerce, express delivery, and food delivery industries continue to recruit delivery riders in order to improve operational efficiency, increasing the number of delivery orders per hour for riders. In addition, most of the vehicles used by riders are motorcycles. Vehicle refueling or charging time is short, small in size, low in cost, and fast in speed, causing riders to compete with pedestrians and even vehicles for a large number of delivery services. A safer and more efficient way of high-value urban log...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/06G06Q10/08G06F30/18
CPCG06Q10/06315G06Q10/04G06Q10/083G06Q10/0635G06F30/18Y02T10/40
Inventor 赵博帜姚迪李诚龙黄龙杨史晓红
Owner CIVIL AVIATION FLIGHT UNIV OF CHINA
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