CN117765713A - Automatic driving passenger connection system applied to waiting hall - Google Patents
Automatic driving passenger connection system applied to waiting hall Download PDFInfo
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- CN117765713A CN117765713A CN202311766063.3A CN202311766063A CN117765713A CN 117765713 A CN117765713 A CN 117765713A CN 202311766063 A CN202311766063 A CN 202311766063A CN 117765713 A CN117765713 A CN 117765713A
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- 238000005516 engineering process Methods 0.000 claims abstract description 5
- 238000003032 molecular docking Methods 0.000 claims description 7
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Abstract
The invention discloses an automatic driving passenger connection system applied to a waiting hall, which belongs to the technical field of airport transportation and comprises a positioning module, a user information acquisition module, a flight information inquiry module, a path planning module, an automatic driving control module and a navigation indication module; the positioning module is used for acquiring coordinates of the current position of the passenger; the user information acquisition module is used for acquiring the identity information of the passengers; the flight information inquiry module inquires the flight information related to passengers through an airport flight information service system; the path planning module calculates an optimal path through a path planning algorithm; the automatic driving control module controls the connection vehicle to run along a planned path through an automatic driving technology; the navigation indication module guides passengers to reach the correct boarding gate through navigation indication information. The invention provides an intelligent solution for the airport transportation system, and reduces boarding delay and lost problems of passengers.
Description
Technical Field
The invention relates to the technical field of airport transportation, in particular to an automatic driving passenger connection system applied to a waiting hall.
Background
With the rapid development of social economy, civil aviation industry is rapidly developed, more and more people adopt airplane and airplane traveling modes for rapidly reaching destinations, and more than 20 airports with more than ten million passengers are transported annually in China. And more than 2 terminal buildings of airports with annual traffic volume exceeding ten millions are generally available, when passengers arrive at the terminal buildings, how to provide corresponding guiding services for the passengers traveling by the airplane according to the progress of check-in procedures of the passengers and the demands of the passengers, so that the passengers can quickly arrive at target positions, more humanized services are provided for the passengers, and attention of airport decision makers is brought.
In modern society, the airport is used as a large transportation junction, the coverage area is large, the structure is complex, the daily throughput of the large airport can reach hundreds of thousands of times, the airport also pays attention to the requirement of users for location service while providing basic business service, and the airport plays a vital role in the normal travel of passengers. Passengers are the most numerous groups in the airport, and the convenience, rapidness and high efficiency are the requirements of the passengers on airport services. As the space of the airport becomes larger and the internal information becomes more complex, when passengers are unfamiliar with the airport environment, the passengers can hardly find the boarding gate position accurately and conveniently through observation, people can get lost in the airport or spend excessive time to find targets, so that psychological tension can be caused, partial passengers can be caused to misdrive, and the journey, time and money are delayed.
In the prior patent application CN201310183468.4, an airport boarding system and method are disclosed, which includes a central database storing data information adapted to the demands of passengers and a plurality of boarding terminals disposed in the airport waiting area, each boarding terminal includes a data processing unit, a data input unit, a data storage unit and a display unit, the data input unit receives the passenger data information input by the passengers and sends the information to the data processing unit, the data processing unit reads the data information adapted to the demands of the passengers from the central database after receiving the passenger data information, determines the destination location of the passengers, and according to the destination location, retrieves the picture information of the route from the location of the boarding terminal to the destination location from the data storage unit and displays the picture information through the display unit. However, this solution still requires the passengers to find the boarding path by themselves, but in large airports with numerous shops and boarding gates, it is still difficult for the passengers who are not familiar with the airport environment to find a certain shop or boarding gate by means of a static navigation map or a sign, and thus the occurrence of boarding delay is also caused.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and solve the problems of delay and boarding of passengers caused by complex airport environment, unfamiliar personnel and the like, thereby providing an automatic driving passenger connection system applied to a waiting hall.
The aim of the invention is realized by the following technical scheme:
the automatic driving passenger connection system applied to the waiting hall comprises a positioning module, a user information acquisition module, a flight information inquiry module, a path planning module, an automatic driving control module and a navigation indication module;
the positioning module is used for acquiring coordinates of the current position of the passenger;
the user information acquisition module is used for acquiring the identity information of the passengers;
the flight information inquiry module inquires the flight information related to passengers through an airport flight information service system;
the path planning module calculates an optimal path through a path planning algorithm based on the current position of the passenger and the coordinates of the target boarding gate;
the automatic driving control module controls the connection vehicle to run along a planned path through an automatic driving technology;
the navigation indication module guides passengers to reach the correct boarding gate through navigation indication information.
Further, the positioning module is a global satellite positioning system GPS or other position sensor, and is installed on the docking vehicle or integrated with the mobile device of the passenger.
Further, the user information acquisition module comprises a mobile application program of an airport, a self-service terminal and facial biometric identification equipment, and the acquired passenger identity information comprises the name, flight number and electronic ticket information of the passenger.
Further, the flight information inquiry module is connected with the airport flight information service system and inquires the flight information related to passengers, wherein the flight information comprises departure time, boarding gates and flight states, and the related information is accurately inquired by using the flight numbers or the identity information of the passengers.
Further, the path planning algorithm specifically includes:
step 1: initializing, namely setting the current position of a passenger as a starting node and the position of a destination boarding gate as a target node; calculating heuristic estimated distance from the initial node to the target node, and adding the initial node to the open list;
step 2: cycling, repeating the following steps until the target node is reached or the open list is empty;
a: selecting a node with the lowest comprehensive cost from the open list;
b: moving the selected node from the open list to the closed list;
c: expanding the selected node to generate adjacent nodes thereof; for each neighboring node: calculating an actual cost from the starting node to the neighboring node; calculating heuristic estimated cost from the adjacent node to the target node; calculating the comprehensive cost;
if the adjacent node is not in the open list or the closed list, adding the adjacent node to the open list, and recording the father node and the comprehensive cost of the adjacent node;
if the neighboring node is already in the open list and the new composite cost is lower, updating its parent node and composite cost; step 3: and (4) path backtracking, namely, starting backtracking from the target node once the target node is reached, and returning to the starting node along the parent node chain to form the optimal path.
Further, the autopilot control module communicates with traffic management systems at airports and other vehicles to coordinate traffic flow.
Further, the navigation indication module comprises a display screen and voice prompt equipment, and the navigation indication information comprises a steering instruction, a distance estimation and an estimated arrival time.
The invention has the beneficial effects that:
1. the invention improves the comfort level and the travel efficiency of passengers in an airport and reduces the possibility of boarding delay;
2. the invention reduces the workload of airport staff and improves the airport operation efficiency;
3. the invention utilizes the automatic driving connection vehicle, reduces the problem of traffic jam in an airport and reduces the energy consumption;
4. the route planning based on the real-time data can cope with unpredictable situations, and ensure that passengers safely and smoothly arrive at the destination boarding gate.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to the structures shown in these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a system configuration diagram of the present invention.
Detailed Description
It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
The following description of the embodiments of the present invention will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are only some, but not all embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In this embodiment, as shown in fig. 1, an automatic driving passenger connection system applied to a waiting hall includes a positioning module, a user information acquisition module, a flight information query module, a path planning module, an automatic driving control module and a navigation indication module;
the positioning module is used for acquiring coordinates of the current position of the passenger;
the user information acquisition module is used for acquiring the identity information of the passengers;
the flight information inquiry module inquires the flight information related to passengers through an airport flight information service system;
the path planning module calculates an optimal path through a path planning algorithm based on the current position of the passenger and the coordinates of the target boarding gate;
the automatic driving control module controls the connection vehicle to run along a planned path through an automatic driving technology;
the navigation indication module guides passengers to reach the correct boarding gate through navigation indication information.
In this embodiment, the positioning module is a global satellite positioning system GPS or other position sensor, and is installed on a docking vehicle or integrated with a mobile device of a passenger to obtain accurate position information.
In this embodiment, the user information acquisition module includes a mobile application program of an airport, a self-service terminal, and a facial biometric recognition device, the acquired passenger identity information includes a name, a flight number, and electronic ticket information of a passenger, and the passenger is automatically recognized through facial recognition or biometric recognition.
In this embodiment, the flight information inquiry module is connected to an airport flight information service system to inquire about the flight information related to the passengers, wherein the flight information includes departure time, boarding gate and flight status, and the related information is accurately inquired by using the flight number or the identity information of the passengers.
In this embodiment, the path planning module calculates the optimal path using a path planning algorithm based on the current position of the passenger and the coordinates of the target gate. The path planning algorithm takes into account obstacles, traffic flow and pedestrian dynamics within the airport to ensure safe, efficient delivery of passengers to the destination. This step may also take into account the passenger's baggage in order to take into account baggage handling when planning the path.
In this embodiment, the path planning algorithm is a heuristic search algorithm for path planning of an automated driving truck. The basic idea is to maintain two lists: open list and closed list:
step 1: initializing, namely setting the current position of a passenger as a starting node and the position of a destination boarding gate as a target node; calculating heuristic estimated distances (e.g., euclidean distances) of the starting node to the target node, and adding the starting node to the open list;
step 2: cycling, repeating the following steps until the target node is reached or the open list is empty;
a: selecting a node with the lowest comprehensive cost from the open list;
b: moving the selected node from the open list to the closed list;
c: expanding the selected node to generate adjacent nodes thereof; for each neighboring node: calculating an actual cost (e.g., distance travelled) from the starting node to the neighboring node; calculating heuristic estimated cost from the adjacent node to the target node; calculating the comprehensive cost (actual cost+heuristic estimated cost);
if the adjacent node is not in the open list or the closed list, adding the adjacent node to the open list, and recording the father node and the comprehensive cost of the adjacent node;
if the neighboring node is already in the open list and the new composite cost is lower, updating its parent node and composite cost;
step 3: and (4) path backtracking, namely, starting backtracking from the target node once the target node is reached, and returning to the starting node along the parent node chain to form the optimal path.
The algorithm code is as follows:
in this embodiment, the autopilot control module communicates with traffic management systems at airports and other vehicles to coordinate traffic flow; the autopilot control module should have the functions of avoiding collisions, following traffic regulations, adapting to complex environments in airports, etc., to ensure the safety and comfort of passengers.
In this embodiment, the navigation instruction module includes a display screen and a voice prompt device, and the navigation instruction information includes a steering instruction, a distance estimate, and an estimated arrival time.
To guide the passenger to the correct gate, navigation instructions may be provided to the passenger via a display screen, voice prompts, or other means, which may include steering instructions, distance estimates, predicted arrival times, etc. to assist the passenger in successfully reaching the destination.
The invention aims to provide an automatic driving connection vehicle system which can inquire related flight information and corresponding boarding gates according to the current position and user information of passengers, then plan an optimal path and safely send the passengers to the correct boarding gates. The invention provides an intelligent solution for the airport transportation system by combining an automatic driving technology, a flight information inquiry and a path planning algorithm, thereby reducing boarding delay and lost problems of passengers.
The invention has the following advantages:
1. the comfort level and the trip efficiency of passengers in the airport are improved, and the possibility of boarding delay is reduced.
2. The work load of airport staff is lightened, and the airport operation efficiency is improved.
3. The automatic driving connection vehicle is utilized, so that the problem of traffic jam in an airport is reduced, and the energy consumption is reduced.
4. The route planning based on the real-time data can cope with unpredictable situations, and ensure that passengers safely and smoothly arrive at the destination boarding gate.
It should be noted that, for simplicity of description, the foregoing method embodiments are all expressed as a series of action combinations, but it should be understood by those skilled in the art that the present application is not limited by the described order of action, as some steps may take other order or be performed simultaneously according to the present application. Further, those skilled in the art will also appreciate that the embodiments described in the specification are all preferred embodiments and that the acts and elements referred to are not necessarily required in the present application.
In the foregoing embodiments, the descriptions of the embodiments are focused on, and for those portions of one embodiment that are not described in detail, reference may be made to the related descriptions of other embodiments.
Those skilled in the art will appreciate that implementing all or part of the above-described methods in the embodiments may be accomplished by computer programs stored in a computer-readable storage medium, which when executed, may include the steps of the embodiments of the methods described above. Wherein the storage medium may be a magnetic disk, an optical disk, a ROM, a RAM, etc.
The foregoing disclosure is illustrative of the present invention and is not to be construed as limiting the scope of the invention, which is defined by the appended claims.
Claims (7)
1. The automatic driving passenger connection system applied to the waiting hall is characterized by comprising a positioning module, a user information acquisition module, a flight information inquiry module, a path planning module, an automatic driving control module and a navigation indication module; the positioning module is used for acquiring coordinates of the current position of the passenger;
the user information acquisition module is used for acquiring the identity information of the passengers;
the flight information inquiry module inquires the flight information related to passengers through an airport flight information service system;
the path planning module calculates an optimal path through a path planning algorithm based on the current position of the passenger and the coordinates of the target boarding gate;
the automatic driving control module controls the connection vehicle to run along a planned path through an automatic driving technology;
the navigation indication module guides passengers to reach the correct boarding gate through navigation indication information.
2. An automated driving passenger docking system for use in a waiting hall according to claim 1, wherein the positioning module is a global satellite positioning system GPS or other position sensor mounted on a docking vehicle or integrated with the passenger's mobile device.
3. An automated driving passenger docking system for use in a waiting hall according to claim 1, wherein the user information acquisition module comprises a mobile application at an airport, a self-service terminal, and a facial biometric recognition device, and the acquired passenger identity information comprises a passenger's name, a flight number, and electronic ticket information.
4. The system for automatically driving passengers in a waiting hall according to claim 1, wherein the flight information inquiry module is connected to an airport flight information service system for inquiring about the flight information related to passengers, the flight information including departure time, boarding gate and flight status, and accurately inquiring about the related information by using the flight number or the identity information of the passengers.
5. The system for connecting passengers in a waiting hall according to claim 1, wherein the path planning algorithm specifically comprises:
step 1: initializing, namely setting the current position of a passenger as a starting node and the position of a destination boarding gate as a target node; calculating heuristic estimated distance from the initial node to the target node, and adding the initial node to the open list;
step 2: cycling, repeating the following steps until the target node is reached or the open list is empty;
a: selecting a node with the lowest comprehensive cost from the open list;
b: moving the selected node from the open list to the closed list;
c: expanding the selected node to generate adjacent nodes thereof; for each neighboring node: calculating an actual cost from the starting node to the neighboring node; calculating heuristic estimated cost from the adjacent node to the target node; calculating the comprehensive cost;
if the adjacent node is not in the open list or the closed list, adding the adjacent node to the open list, and recording the father node and the comprehensive cost of the adjacent node; if the neighboring node is already in the open list and the new composite cost is lower, updating its parent node and composite cost;
step 3: and (4) path backtracking, namely, starting backtracking from the target node once the target node is reached, and returning to the starting node along the parent node chain to form the optimal path.
6. An automated driving passenger docking system for use in a waiting hall according to claim 1, wherein the automated driving control module communicates with traffic management systems and other vehicles at the airport to coordinate traffic flows.
7. An automated driving passenger docking system for use in a waiting hall according to claim 1, wherein the navigation instruction module comprises a display screen and a voice prompt, and the navigation instruction information comprises a steering instruction, a distance estimate, and an estimated time of arrival.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311766063.3A CN117765713A (en) | 2023-12-21 | 2023-12-21 | Automatic driving passenger connection system applied to waiting hall |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311766063.3A CN117765713A (en) | 2023-12-21 | 2023-12-21 | Automatic driving passenger connection system applied to waiting hall |
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| CN117765713A true CN117765713A (en) | 2024-03-26 |
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| CN202311766063.3A Pending CN117765713A (en) | 2023-12-21 | 2023-12-21 | Automatic driving passenger connection system applied to waiting hall |
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- 2023-12-21 CN CN202311766063.3A patent/CN117765713A/en active Pending
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