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Scenic area pleasure boat intelligent scheduling method based on real-time passenger flow volume

A technology of intelligent scheduling and passenger flow, applied in the field of cruise ship management and control, which can solve problems such as slow cruise ship scheduling

Pending Publication Date: 2022-05-24
浙江中测新图地理信息技术有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The present invention mainly solves the problem of slow dispatching of cruise ships in the prior art, and provides a method for intelligently dispatching cruise ships in advance according to the threshold of passenger flow pressure at the site

Method used

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  • Scenic area pleasure boat intelligent scheduling method based on real-time passenger flow volume
  • Scenic area pleasure boat intelligent scheduling method based on real-time passenger flow volume
  • Scenic area pleasure boat intelligent scheduling method based on real-time passenger flow volume

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Embodiment

[0042] Embodiment: The present invention provides an intelligent scheduling method for scenic cruise ships based on real-time passenger flow, such as figure 1 shown, including the following steps:

[0043] S1: Data collection; collect the location of the cruise ship docking site and the size of the service area of ​​the site; the setting and determination of the docking site should be based on the actual situation of the service area, fully considering the needs of tourists, and the docking site should be as close to the scenic spot as possible. Colleagues should also consider other factors, such as safety, convenience, comfort, etc.; collect the number of cruise ships at each site and the passenger capacity of the cruise ships; the number of cruise ships at each site should be reasonably allocated to each site according to historical experience, try to Reduce dispatch costs; determine feasible networks between stations; cruise ships can choose travel routes among these feasib...

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PUM

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Abstract

The invention discloses a scenic spot pleasure boat intelligent scheduling method based on real-time passenger flow volume. The method comprises the following steps: firstly, carrying out data collection; then, the instantaneous bearing capacity of the station is determined; calculating a future passenger flow volume trend; and finally determining a scheduling site. Carrying out distribution according to different instant bearing capacity exceeding degrees of each station, and carrying out optimal distance calculation on all the dispatched pleasure boats and dispatched stations to obtain an optimal driving scheme; the problems that in the prior art, scheduling can only be arranged when the number of tourists exceeds the bearing pressure of a station, so that people are not evacuated in time, and tourists wait for a long time are solved.

Description

technical field [0001] The invention relates to the field of cruise ship management and control, in particular to an intelligent scheduling method for scenic cruise ships based on real-time passenger flow. Background technique [0002] With the rapid development of my country's economy in recent years, the tourism industry is constantly heating up, and the number of scenic spots developed nationwide and the number of tourists continue to rise, which has higher requirements on the ability of scenic spots to withstand and balance, especially during holidays, scenic spots. There may be problems such as a sharp increase in the number of tourists, queuing for ticket purchases, failure of train and ship scheduling, and excessive waiting time. The main reason for such a problem is that there are many tourists in the scenic spot and the environment is complex. The administrator cannot obtain and grasp the situation and information of the tourists in the scenic spot in real time, and ...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q10/06G06Q50/14G06Q50/30G08G3/00H04W4/021
CPCG06Q10/06312G06Q10/06315G06Q50/14G06Q10/04G08G3/00H04W4/021G06Q50/40
Inventor 廖明叶冬梅俞凯杰姚强王宇帆魏鹏王凯迪李振翔杨振凯严杨潘丽娟
Owner 浙江中测新图地理信息技术有限公司
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