CN115358459A - Intelligent passenger flow guiding system and method for terminal building - Google Patents

Intelligent passenger flow guiding system and method for terminal building Download PDF

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CN115358459A
CN115358459A CN202210980929.XA CN202210980929A CN115358459A CN 115358459 A CN115358459 A CN 115358459A CN 202210980929 A CN202210980929 A CN 202210980929A CN 115358459 A CN115358459 A CN 115358459A
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高奎刚
邓楠
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Abstract

The invention provides an intelligent passenger flow guiding system and method for an airport terminal, which comprises the following steps: the aviation information identification module is used for acquiring travel information of travelers and identifying flight information, boarding gate, consignment and intelligent transport vehicle demand information of the travelers and information of whether the travelers are domestic flights; the space network construction module is used for constructing a space network of the terminal building based on the terminal building model; the queuing length identification module is used for acquiring images of all nodes in the space network of the terminal building and identifying the queuing length of each node; the path optimizing module is used for obtaining an optimal path according to the position of the traveler, the boarding gate of the traveler, the consignment demand information, the information of whether the flight is domestic flight, the demand information of the intelligent transport vehicle, the space network and the node queuing length, and returning the optimal path to the traveler terminal. Not only is accurate planning given in the route, but also the intelligent transport vehicle can be fully utilized to solve the transportation requirement for the passenger.

Description

Intelligent passenger flow guiding system and method for terminal building
Technical Field
The invention belongs to the technical field of passenger flow guidance, and particularly relates to an intelligent passenger flow guidance system and method for an airport terminal.
Background
The statements in this section merely provide background information related to the present disclosure and may not necessarily constitute prior art.
The air transportation is an important transportation mode for long-distance travel and is an important component in a modern comprehensive transportation system. In the air transportation, a series of processes such as boarding check taking, consignment, security inspection, waiting for an airplane and the like in the terminal building are part of the starting and carrying switching of the air transportation, the operation efficiency of an airport and the traveling convenience of travelers are directly related, the travelers are reasonably arranged and guided to finish the process, the waiting time of passengers can be effectively shortened, and the riding experience of the passengers is enhanced.
With the rapid increase of the demand of air transportation, most of the domestic newly-built and expanded airports have large space and numerous boarding gates, the distance from the entrance of the terminal to the boarding is long, the process is complicated, and particularly, the passengers with inconvenient actions are greatly troubled. For this reason, new technical applications are required in airports to more directly guide passengers to board, facilitate passenger travel, and increase boarding efficiency of passengers.
At present, the boarding flow of domestic terminal buildings is generally complex, a passenger selects a route by himself, serious crowding and queuing are easily caused in a rush hour, the operation efficiency of an airport is reduced, the boarding distance is gradually increased along with gradual expansion of the area of a newly-built terminal building, and the passenger has a more convenient trip demand.
Disclosure of Invention
In order to overcome the defects of the prior art, the invention provides the intelligent passenger flow guiding system for the airport terminal, which not only provides accurate planning in the path, but also can fully utilize the intelligent transport vehicle to meet the transportation requirement of passengers, shortens the airport path searching time of travelers, and improves the convenience and the comfort of traveling.
In order to achieve the above object, one or more embodiments of the present invention provide the following technical solutions:
on one hand, the intelligent passenger flow guiding system of the terminal building comprises a traveler terminal, an aviation information identification module, a space network construction module, a queuing length identification module and a path optimization module;
the aviation information identification module is used for acquiring the travel information uploaded by the traveler terminal and identifying flight information, boarding gates, consignment and intelligent transport vehicle demand information of travelers and information of whether the travelers are domestic flights or not;
the space network construction module is used for constructing a space network of the terminal building based on the terminal building model;
the queuing length identification module is used for acquiring images of all nodes in the space network of the terminal building and identifying the queuing length of each node;
the path optimizing module is used for determining a starting point node of an optimal path according to the position of a traveler, taking a traveler boarding gate as an end point node of the optimal path, determining all path areas of the optimal path according to the consignment demand information and the information about whether the traveler is a domestic flight, and selecting nodes in all the path areas as intermediate nodes of the optimal path by calculating edge impedance based on the demand information of the intelligent transport vehicle, the space network of the terminal building and the queuing length of each node, so that the optimal path from the starting point node to the traveler boarding gate is obtained and returned to a traveler terminal.
Furthermore, the system also comprises an intelligent scheduling module;
the path optimizing module is also used for uploading the optimal path and the traveler position to the intelligent scheduling module when the intelligent transport vehicle demand information is needed.
Furthermore, the system also comprises intelligent transport vehicles arranged at entrances of various airports;
the intelligent scheduling module is used for acquiring the positions of all intelligent transport vehicles, determining the intelligent transport vehicle closest to the traveler according to the position of the traveler and the positions of all the intelligent transport vehicles, creating a pick-up list according to the position of the traveler and the optimal path, and sending the pick-up list to the intelligent transport vehicle closest to the traveler.
Furthermore, after receiving the pick-up list, the intelligent transport vehicle automatically drives to the position of the traveler and transports the traveler to each node according to the optimal path until the traveler is transported to a gate.
Further, the system also comprises an entrance passenger flow predicting module;
the entrance passenger flow prediction module is used for predicting passenger flow of entrances of all airports, determining the proportion of the intelligent transport vehicles which need to be configured at the entrances of different airports according to the predicted passenger flow of the entrances of all airports, and calculating the number of the intelligent transport vehicles which need to be configured at the entrances of all airports by combining the total number of the intelligent transport vehicles in the airport terminal.
Furthermore, the intelligent transport vehicle further comprises an elevator for the intelligent transport vehicle to go to and from floors, and an electronic module for information interaction with the intelligent transport vehicle is configured in the elevator.
Furthermore, the intelligent transport vehicle is provided with a voice recognition module and a multifunctional screen.
Further, the terminal building space network is composed of nodes and edges, and the edges refer to the shortest path between the nodes.
Further, the system also comprises a model building module of the terminal building;
the terminal building model building module is used for building and storing the terminal building model, and the terminal building model is used for storing the space geographic position of each node.
On the other hand, the intelligent passenger flow guiding method for the terminal building is disclosed, and comprises the following steps:
the method comprises the steps of obtaining travel information of travelers, and identifying flight information, boarding gate, consignment and intelligent transport vehicle demand information of the travelers and information whether the travelers are domestic flights or not;
building a space network of the terminal building based on the terminal building model;
acquiring an image of each node in a space network of a terminal building, and identifying the queuing length of each node;
determining a starting point node of an optimal path according to the position of a traveler, taking a boarding gate of the traveler as an end point node of the optimal path, determining all path areas of the optimal path according to consignment demand information and information about whether the traveler is a domestic flight, and selecting nodes in all path areas as intermediate nodes of the optimal path by calculating edge impedance based on the demand information of the intelligent transport vehicle, a terminal building space network and the queuing length of each node, thereby obtaining the optimal path from the starting point node to the boarding gate of the traveler.
The above one or more technical solutions have the following beneficial effects:
according to the technical scheme, the edge impedance is calculated, the nodes in each path area are selected as the intermediate nodes of the optimal path, and the optimal path from the current position to the gate can be accurately and quickly found for a traveler.
According to the technical scheme, accurate planning is provided in the route, the intelligent transport vehicle can be fully utilized through the intelligent dispatching system to meet the transportation requirement of the passenger, the airport route searching time of the traveler is shortened, and the convenience and the comfort of traveling are improved.
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The accompanying drawings, which are incorporated in and constitute a part of this specification, are included to provide a further understanding of the invention, and are incorporated in and constitute a part of this specification, illustrate exemplary embodiments of the invention and together with the description serve to explain the invention and not to limit the invention.
Fig. 1 is a general architecture diagram of an intelligent passenger flow guidance system of a terminal building according to a first embodiment of the present invention;
FIG. 2 is a flowchart of a method for determining an optimal path according to a second embodiment of the present invention;
fig. 3 is a schematic diagram of a terminal building spatial network and an example diagram of an optimal path according to an embodiment of the present invention.
Detailed Description
It is to be understood that the following detailed description is exemplary and is intended to provide further explanation of the invention as claimed. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of exemplary embodiments according to the invention. As used herein, the singular forms "a", "an", and "the" are intended to include the plural forms as well, and it should be understood that when the terms "comprises" and/or "comprising" are used in this specification, they specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof, unless the context clearly indicates otherwise.
The embodiments and features of the embodiments of the present invention may be combined with each other without conflict.
The first embodiment is as follows:
referring to fig. 1, the embodiment discloses an intelligent passenger flow guidance system for an airport terminal, which includes a traveler terminal, an airport model building module, an entrance passenger flow prediction module, a space network building module, an aviation information identification module, a path optimization module, a queuing length identification module, image acquisition devices arranged at each node, and intelligent transport vehicles configured at each airport entrance according to the predicted passenger flow of each airport entrance.
The terminal building model building module is used for building and storing a terminal building three-dimensional model, namely a detailed geographical position three-dimensional model in the terminal building, wherein the terminal building three-dimensional model is used for storing the spatial geographical position of each node. The nodes comprise an airport entrance, an inquiry department, a ticket counter, a check-in machine, a luggage inquiry, a luggage deposit, a luggage package, a luggage consignment, a security check, an inspection and quarantine, a frontier inspection, a customs, a waiting room, a gate and an escalator. Each node is located in a corresponding area, for example, a ticketing counter, as shown in fig. 3, the ticketing counter area includes a plurality of ticketing counter nodes. The region comprises an inlet region, a ticketing counter region, a luggage consignment region, a security inspection region and a boarding gate region, wherein the inlet region, the ticketing counter region, the luggage consignment region, the security inspection region and the boarding gate region all comprise a plurality of nodes.
The entrance passenger flow prediction module is used for predicting the passenger flow of the entrance of each airport, determining the proportion of the intelligent transport vehicles which need to be configured at the entrance of different airports according to the predicted passenger flow of the entrance of each airport, and calculating the number of the intelligent transport vehicles which need to be configured at the entrance of each airport by combining the total number of the intelligent transport vehicles in the airport building.
Specifically, the entrance passenger flow prediction module is connected with the model building module of the airport station and used for counting the historical daily passenger flow of each airport entrance in the model building module of the airport station, taking the historical daily passenger flow data of each airport entrance in a set time period as a training set, adopting the ARIMA model to predict the daily passenger flow of each airport entrance, determining the proportion of intelligent transport vehicles required to be configured at the entrances of different airports according to the predicted daily passenger flow of each airport entrance, and calculating the number of the intelligent transport vehicles required to be configured at each airport entrance by combining the total number of the intelligent transport vehicles in the airport station.
As an implementation mode, the entrance passenger flow volume prediction module is connected with the staff client, the number of intelligent transport vehicles required to be configured at each airport entrance is transmitted to the staff client, and the staff allocates a corresponding number of intelligent transport vehicles at each airport entrance by scheduling the intelligent transport vehicles according to the number of the intelligent transport vehicles required to be configured at each airport entrance.
As an implementation mode, the entrance passenger flow prediction module is connected with the intelligent transport vehicles to obtain the positions of all the intelligent transport vehicles, based on the number of the intelligent transport vehicles needing to be configured at each airport entrance and the positions of all the intelligent transport vehicles, whether each intelligent transport vehicle needs to be moved and a destination airport entrance of the intelligent transport vehicles is calculated, a movement instruction is sent to the intelligent transport vehicles, and the intelligent transport vehicles move to the destination airport entrance after receiving the instruction, so that the intelligent transport vehicles with the corresponding number are configured at each airport entrance.
As an embodiment, data three months prior to the day is taken as the training set.
The space network building module is connected with the model building module of the terminal building and used for building a space network of the terminal building based on the three-dimensional model of the terminal building.
The terminal building space network consists of nodes and edges among the nodes, wherein the nodes are nodes at various positions in the terminal building, and the edges refer to the shortest path between the nodes.
The aviation information identification module is connected with the traveler terminal and is used for acquiring the travel information (including flight information, traveler position and service information) uploaded by the traveler terminal, identifying the information of whether the traveler is a boarding gate or not and whether the traveler is a domestic flight or not based on the flight information, and identifying the information of whether the traveler needs to consign and whether the traveler needs to an intelligent transport vehicle or not (namely consign and intelligent transport vehicle demand information) based on the service information; and uploading the position of the traveler, the boarding gate of the traveler, the consignment demand information, the demand information of the intelligent transport vehicle and the information of whether the traveler is a domestic flight or not to the path optimizing module.
As an embodiment, the traveler uploads the relevant information (flight information, traveler location, and service information) by scanning the code and selecting the desired service.
And the image acquisition devices arranged at the nodes are used for acquiring images of the nodes and uploading the images to the queuing length identification module.
As an implementation manner, the aviation information identification module uploads the traveler position, the traveler boarding gate, the consignment demand information, the intelligent transport vehicle demand information and the information about whether the traveler is a domestic flight to the path optimizing module, and the image acquisition device uploads the image of each node to the queuing length identification module.
The queuing length identification module is used for identifying the queuing length of each node according to the image acquired by the image acquisition device of each node, and uploading the queuing length of each node to the path optimization module.
The path optimizing module is used for determining a starting point node of an optimal path according to the position of a traveler, taking a traveler boarding gate as an end point node of the optimal path, determining all path areas of the optimal path according to the consignment demand information and the information about whether the traveler is a domestic flight, and selecting nodes in all the path areas as intermediate nodes of the optimal path by calculating edge impedance based on the intelligent transport vehicle demand information, the space network and the queuing length of each node, so that the optimal path from the starting point node to the traveler boarding gate is obtained and returned to a traveler terminal.
Specifically, the path optimizing module is specifically configured to:
judging whether the position of the traveler is within the airport range or not according to the position of the traveler; when the traveler position is outside the airport range, firstly planning the most convenient airport entrance according to the traveler position and the airport position information, and then solving the optimal path of the most convenient airport entrance and the traveler gate by adopting the shortest path algorithm; when the traveler position is within the airport range, solving the optimal path between the current position of the user and the gate by adopting a shortest path algorithm; and uploading the optimal path to a traveler terminal, judging whether to upload the optimal path to the intelligent scheduling module according to the requirement information of the intelligent transport vehicle, specifically, uploading the optimal path and the position of the traveler to the intelligent scheduling module if the intelligent transport vehicle is needed, or not.
The shortest path algorithm comprises the following specific steps:
defining the starting point node and the end point node: when the traveler position is outside the airport range, taking the most convenient airport entrance as a starting point node; when the traveler position is within the airport range, taking the node closest to the traveler position as a starting point node; taking a traveler gate as a terminal node; determining an optimal path area according to the consignment demand information and the information of whether the consignment demand information is a domestic flight;
starting from a starting point node, solving a next node in an optimal path area, wherein the node with the minimum edge impedance among the nodes is the next node of the optimal path until a destination node is searched; in the terminal building space network, the edge impedance is set as the travel time t and the travel time between the corresponding starting and ending point nodes
Figure BDA0003800403360000071
Wherein d is the distance between two nodes; v. of d For walking or carrying the average speed of the intelligent transport vehicle, in particular, when the intelligent transport vehicle demand information is the need of the intelligent transport vehicle, v d The average speed of carrying the intelligent transport vehicle is the average speed of walking, otherwise, the average speed of carrying the intelligent transport vehicle is the average speed of walking; q is the queuing length of the side end point; v. of q Dissipation rate for queuing; t is t h Is the transit time of an inter-floor elevator between two nodes in a space network (if there is no floor difference between the two nodes, t is h ＝0)；
Storing the optimal path nodes between the starting node and the end node into a list, namely storing the shortest path node between the starting node and the end node as [ i, x ] 1 ,…,x n ,j]In the formula, x 1 ,…,x n Is a path node between nodes i, j.
The intelligent dispatching module is connected with all the intelligent transport vehicles and used for obtaining the positions of all the intelligent transport vehicles, determining the intelligent transport vehicle closest to a traveler according to the position of the traveler and the positions of all the intelligent transport vehicles, creating a pick-up list according to the position of the traveler and the optimal path, and sending the pick-up list to the intelligent transport vehicle closest to the traveler. After receiving the pick-up list, the intelligent transport vehicle automatically drives to the position of the traveler, and transports the traveler to each node according to the optimal path until the traveler is transported to a boarding gate.
Specifically, the intelligent scheduling module allocates tasks to the intelligent transport vehicle according to the position of the traveler and returns the optimal path and the order allocation information to a customer page so that passengers can inquire the optimal path information and the intelligent transport vehicle information. When a receiving and delivering task exists, the intelligent scheduling module creates a receiving and delivering list for the nearest intelligent transport vehicle, the list content comprises position information (traveler position), the optimal path, information of a boarding gate and the like of a passenger, the passenger can confirm order information in a code scanning mode through a mobile phone and can directly reach the boarding gate by taking the intelligent transport vehicle through the optimal path.
The intelligent transport vehicle is a single-person riding transport vehicle capable of receiving mobile phone instructions and intelligent dispatching module instructions, and meanwhile, a special elevator for the intelligent transport vehicle to go up and down floors needs to be equipped in a terminal building or an electronic module for information interaction with the intelligent transport vehicle is additionally arranged on an existing vertical elevator.
The intelligent transport vehicle is provided with a voice recognition module, wherein the voice recognition module has a voice interaction function and can directly inquire information of places such as a toilet, a restaurant, a boarding station, a rest station, shopping and the like, and the voice recognition module has the functions of voice recognition, natural language processing, process management, interface control and voice output.
The intelligent transport vehicle is provided with a multifunctional screen, wherein the multifunctional screen is embedded into a built-in system, and additional functions of video entertainment, charging, transportation and the like are achieved.
According to the invention, intelligent passenger transport vehicles are configured at each airport entrance through establishing a three-dimensional model of the geographical positions of the airport entrance and the boarding gate and through historical data analysis and flight information analysis; a traveler automatically acquires flight information and current position positioning information in a mobile phone reservation and code scanning mode, the system recommends an optimal path from a current position to a gate according to the position of the traveler, and meanwhile, an airport intelligent passenger transport vehicle is dispatched to provide convenient transport service for the traveler with demand. According to the invention, the 'point-to-point' path planning service can be realized through the data matching of traveler information and the airport internal geographical position information, and convenient transportation service in the airport is provided for travelers, so that not only is accurate planning given in the path, but also the transportation requirement can be solved for passengers by fully utilizing the intelligent transport vehicle through the intelligent scheduling system, the airport path searching time of travelers is shortened, and the travel convenience and comfort are improved through the airport intelligent passenger transport vehicle. The information-based intellectualization of the airport can greatly improve the operating efficiency, reduce the operating cost, avoid the input of a large amount of manpower, and has important significance for well planning and constructing airport traffic links and airport channels in the planning and construction of new airports.
Example two:
the embodiment discloses an intelligent passenger flow guiding method for an airport terminal, which comprises the following steps:
the method comprises the steps of obtaining travel information of a traveler, and identifying flight information, boarding gate, consignment and intelligent transport vehicle demand information and information of whether the traveler is a domestic flight;
building a space network of the terminal building based on the terminal building model;
acquiring an image of each node in a space network of a terminal building, and identifying the queuing length of each node;
determining a starting point node of an optimal path according to the position of a traveler, taking a boarding gate of the traveler as an end point node of the optimal path, determining all path areas of the optimal path according to consignment demand information and information about whether the traveler is a domestic flight, and selecting nodes in all path areas as intermediate nodes of the optimal path by calculating edge impedance based on the demand information of the intelligent transport vehicle, a terminal building space network and the queuing length of each node, thereby obtaining the optimal path from the starting point node to the boarding gate of the traveler. As shown in fig. 2, the specific steps are as follows:
(1) Defining the starting point node and the end point node: when the traveler position is outside the airport range, taking the most convenient airport entrance as a starting point node; when the traveler position is within the airport range, taking the node closest to the traveler position as a starting point node; taking a traveler gate as a terminal node; determining an optimal path area according to the consignment demand information and the information of whether the consignment demand information is a domestic flight or not, specifically, if the consignment is needed, the optimal path area comprises a luggage consignment area, and if the consignment demand information is not a domestic flight, the optimal path area comprises a customs area, an inspection and quarantine area and a frontier defense inspection area;
(2) Starting from a starting point node, assuming the starting point node as an airport entrance, solving a next node in an optimal path area, namely, calculating edge impedances between the airport entrance node and all ticket counter nodes in a ticket counter area, and selecting a ticket counter node with the minimum edge impedance with the airport entrance node as the next node (namely, the optimal path node);
(3) If consignment is needed, the optimal path area comprises a luggage consignment area, edge impedances between the selected ticketing counter node and all luggage consignment nodes in the luggage consignment area are calculated, and a luggage consignment node with the minimum edge impedance between the selected ticketing counter node and the selected luggage consignment node is selected as a next node; calculating edge impedances between the selected luggage consignment node and all security check nodes in the security check area, and selecting a security check node with the minimum edge impedance with the selected luggage consignment node as a next node;
(4) If the check-in is not needed, the optimal path area does not comprise a luggage check-in area, the edge impedance between the selected ticketing counter node and all security check nodes in the security check area is directly calculated, and the security check node with the minimum edge impedance between the selected ticketing counter node and the selected security check node is selected as the next node;
(5) If the flight is a domestic flight, the optimal path region does not comprise a customs region, an inspection and quarantine region and a frontier defense inspection region, the edge impedances between the security inspection node selected in the step (3) or (4) and all boarding gate nodes in the boarding region are calculated, and the boarding gate node with the minimum edge impedance between the selected security inspection node and the selected boarding gate node is selected as an end node;
(6) If the flight is not domestic, the optimal path area comprises a customs area, an inspection and quarantine area and a frontier defense inspection area, nodes behind the security inspection node selected in the step (3) or (4) are a customs node, an inspection and quarantine node and a frontier defense inspection node in sequence, the frontier defense inspection node and all gate nodes in the boarding area are calculated, and the gate node with the minimum frontier impedance between the frontier defense inspection node and the frontier defense inspection node is selected as an end point node.
The edge impedance is set as the travel time t and the travel time between the starting point node and the ending point node corresponding to the edge
Figure BDA0003800403360000111
Wherein d is the distance between two nodes; v. of d For walking or carrying the average speed of the intelligent transport vehicle, in particular, when the intelligent transport vehicle demand information is the need of the intelligent transport vehicle, v d The average speed of carrying the intelligent transport vehicle is the average speed of walking, otherwise, the average speed of carrying the intelligent transport vehicle is the average speed of walking; q is the queuing length of the side end point; v. of q Dissipation rate for queuing; t is t h Is the transit time of an inter-floor elevator between two nodes in a space network (if there is no floor difference between the two nodes, t is h ＝0)；
(7) Storing the optimal path nodes between the starting node and the end node into a list, namely storing the shortest path node between the starting node and the end node as [ i, x ] 1 ,…,x n ,j]In the formula, x 1 ,…,x n Is a path node between nodes i, j.
The method comprises the steps of obtaining the positions of all intelligent transport vehicles, determining the intelligent transport vehicle closest to a traveler according to the position of the traveler and the positions of all the intelligent transport vehicles, creating a pick-up list according to the position of the traveler and an optimal path, and sending the pick-up list to the intelligent transport vehicle closest to the traveler.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Although the embodiments of the present invention have been described with reference to the accompanying drawings, it is not intended to limit the scope of the present invention, and it should be understood by those skilled in the art that various modifications and variations can be made without inventive efforts by those skilled in the art based on the technical solution of the present invention.

Claims (10)

1. An intelligent passenger flow guiding system of a terminal station is characterized by comprising a traveler terminal, an aviation information identification module, a space network construction module, a queuing length identification module and a path optimization module;
the aviation information identification module is used for acquiring the travel information uploaded by the traveler terminal and identifying flight information, boarding gates, consignment and intelligent transport vehicle demand information of travelers and information of whether the travelers are domestic flights or not;
the space network construction module is used for constructing a space network of the terminal building based on the terminal building model;
the queuing length identification module is used for acquiring images of all nodes in the space network of the terminal building and identifying the queuing length of each node;
the path optimizing module is used for determining a starting point node of an optimal path according to the position of a traveler, taking a boarding gate of the traveler as an end point node of the optimal path, determining all path areas of the optimal path according to consignment demand information and information about whether the traveler is a domestic flight, and selecting nodes in all path areas as intermediate nodes of the optimal path by calculating edge impedance based on demand information of an intelligent transport vehicle, a space network of an airport terminal and the queuing length of each node, so that the optimal path from the starting point node to the boarding gate of the traveler is obtained and returned to a terminal of the traveler.
2. The intelligent terminal-building passenger flow guidance system according to claim 1, further comprising an intelligent scheduling module;
the path optimizing module is also used for uploading the optimal path and the traveler position to the intelligent scheduling module when the intelligent transport vehicle demand information is needed.
3. The intelligent terminal-building passenger flow guidance system according to claim 2, further comprising intelligent transportation vehicles disposed at entrances of respective airports;
the intelligent scheduling module is used for acquiring the positions of all intelligent transport vehicles, determining the intelligent transport vehicle closest to the traveler according to the position of the traveler and the positions of all the intelligent transport vehicles, creating a pick-up list according to the position of the traveler and the optimal path, and sending the pick-up list to the intelligent transport vehicle closest to the traveler.
4. The intelligent passenger flow guidance system of claim 3, wherein said intelligent transportation vehicle automatically drives to the traveler's location after receiving the pick-up list and transports the traveler to each node according to the optimal route until the traveler is transported to the gate.
5. The intelligent terminal-building passenger flow guidance system according to claim 3, further comprising an entrance passenger flow prediction module;
the entrance passenger flow prediction module is used for predicting passenger flow of entrances of all airports, determining the proportion of the intelligent transport vehicles which need to be configured at the entrances of different airports according to the predicted passenger flow of the entrances of all airports, and calculating the number of the intelligent transport vehicles which need to be configured at the entrances of all airports by combining the total number of the intelligent transport vehicles in the airport terminal.
6. The system as claimed in claim 3, further comprising an elevator for the intelligent transportation vehicle to go to and from the floor, wherein an electronic module for information interaction with the intelligent transportation vehicle is disposed in the elevator.
7. The intelligent terminal-building passenger flow guidance system according to claim 3, wherein said intelligent transportation vehicle is equipped with a voice recognition module and a multifunctional screen.
8. The system of claim 1, wherein the terminal space network comprises nodes and edges, and the edge is the shortest path between nodes.
9. The intelligent terminal-building passenger flow guidance system according to claim 1, further comprising a terminal-building model building module;
the terminal model building module is used for building and storing the terminal model, and the terminal model is used for storing the space geographic position of each node.
10. An intelligent passenger flow guiding method for an airport terminal, which is characterized by comprising the following steps:
the method comprises the steps of obtaining travel information of a traveler, and identifying flight information, boarding gate, consignment and intelligent transport vehicle demand information and information of whether the traveler is a domestic flight;
building a space network of the terminal building based on the terminal building model;
acquiring an image of each node in a space network of a terminal building, and identifying the queuing length of each node;
determining a starting point node of an optimal path according to the position of a traveler, taking a boarding gate of the traveler as an end point node of the optimal path, determining all path areas of the optimal path according to consignment demand information and information about whether the traveler is a domestic flight, and selecting nodes in all path areas as intermediate nodes of the optimal path by calculating edge impedance based on the demand information of the intelligent transport vehicle, a terminal building space network and the queuing length of each node, thereby obtaining the optimal path from the starting point node to the boarding gate of the traveler.
CN202210980929.XA 2022-08-16 2022-08-16 Intelligent passenger flow guiding system and method for terminal building Pending CN115358459A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117453220A (en) * 2023-12-26 2024-01-26 青岛民航凯亚系统集成有限公司 Airport passenger self-service system based on Unity3D and construction method

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117453220A (en) * 2023-12-26 2024-01-26 青岛民航凯亚系统集成有限公司 Airport passenger self-service system based on Unity3D and construction method
CN117453220B (en) * 2023-12-26 2024-04-09 青岛民航凯亚系统集成有限公司 Airport passenger self-service system based on Unity3D and construction method

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