CN113722937B - Method for setting guide mark, computer and storage medium - Google Patents

Method for setting guide mark, computer and storage medium Download PDF

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CN113722937B
CN113722937B CN202111266497.8A CN202111266497A CN113722937B CN 113722937 B CN113722937 B CN 113722937B CN 202111266497 A CN202111266497 A CN 202111266497A CN 113722937 B CN113722937 B CN 113722937B
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pedestrian
guide
guiding
sign
scene
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CN113722937A (en
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陈振武
梁晨
杜军
张稷
周勇
黄志军
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Shenzhen Traffic Science Research Institute Co ltd
Shenzhen Urban Transport Planning Center Co Ltd
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Shenzhen Traffic Science Research Institute Co ltd
Shenzhen Urban Transport Planning Center Co Ltd
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    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/20Design optimisation, verification or simulation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
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Abstract

The invention provides a method for setting a guide sign, a computer and a storage medium, belonging to the technical field of public traffic pedestrian modeling simulation. Firstly, establishing a pedestrian simulation model, establishing a pedestrian motion scene in the model, and adding a configuration scheme of obstacles and guide signs in the scene; secondly, setting a visual field of a guide mark; secondly, inputting information of the pedestrian in the scene, and simulating the movement process of the OD of the pedestrian; inputting pedestrians at a constant flow rate at the entrance of the scene, and updating the positions of the pedestrians; secondly, judging the guiding state of the pedestrian; secondly, adding a virtual navigation point in the OD of the pedestrian to change the path of the OD of the pedestrian and move the pedestrian to the virtual navigation point; until the pedestrian completely exits the exit; secondly, introducing a configuration scheme of a new guide mark into the pedestrian simulation model; finally, the rationality of the setting of the guidance flag is evaluated. The technical problem that the guide mark is unreasonably arranged is solved.

Description

Method for setting guide mark, computer and storage medium
Technical Field
The application relates to a method for setting a guide sign, in particular to a method for setting a guide sign, a computer and a storage medium, belonging to the technical field of public traffic pedestrian modeling simulation.
Background
At the present stage, computer simulation techniques have been developed at a high speed. Practical applications of pedestrian modeling simulation are evolving from single-row pedestrian flow simulation in simple scenarios to large-scale high-density simulation in large scenarios. The simulation method, technology, difficulty and complexity are continuously improved, and the development direction of modeling simulation tends to be more intelligent and automatic. The research on the behavior of the pedestrian by the guide mark in the space is developed, and the method has great significance for accurately simulating the motion state of the pedestrian in a complex scene.
Two technical solutions are proposed in the prior art:
the first technical scheme is as follows: in a thesis of pedestrian evacuation model research considering influence of guide signs in 2011 of three people in Song, Ice and snow, Wu and Xishahua, the cognition effect of pedestrians on the guide signs is analyzed, and the range of the visible area of the guide signs considering the barrier shielding effect in a three-dimensional environment and the information receiving process of pedestrians entering the visible area are researched. However, the influence of the guide mark on the subsequent movement of the pedestrian is not studied.
In the thesis, a cellular automaton model is first used to build a simulation model of pedestrian motion. In the thesis, the space is discretized according to a certain cell size, and the neighborhood of the pedestrian isThe domain model takes a Moore neighborhood with 8 directions, then according to a formula
Figure 671396DEST_PATH_IMAGE001
Establishing the field of pedestrian motion, in the formula
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Figure 21792DEST_PATH_IMAGE003
Is a cellular cell
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Is the basis for the pedestrian's motion,
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meaning that the cell is allowed to move only in the horizontal and vertical directions
Figure 646174DEST_PATH_IMAGE006
The minimum number of cells experienced through the building exit m;
Figure 350825DEST_PATH_IMAGE007
meaning that all 8 directions of movement are allowed, the cell
Figure 158244DEST_PATH_IMAGE008
By the minimum number of cells experienced by the building exit m,
Figure 657359DEST_PATH_IMAGE009
the recommended value of the shape coefficient of people near the exit is 0.5, wherein
Figure 284649DEST_PATH_IMAGE010
Then, the author in the thesis fits the visual field of the guide sign under the barrier-free condition into the visual field of the guide sign according to the actual experimental test result of the pedestrian and the guide sign
Figure 792991DEST_PATH_IMAGE011
And simultaneously setting the average height of the pedestrians to be 1.7m, and determining the shielding area of the obstacle in the visual field by analyzing the relative position and height between the obstacle and the guide mark.
And then setting the probability of perceiving, identifying, understanding and following the guidance sign as R after the pedestrian enters the visible area of the sign, and depicting the influence process of the sign on the pedestrian. According to the rule, in the moving process of the pedestrian, if the pedestrian is not in the visible area, the pedestrian moves in the direction of the low static field, and if the pedestrian enters the visible area, the pedestrian moves according to the direction indicated by the guide mark. The influence of a single guide sign on the pedestrian is investigated.
The second technical scheme is as follows: in patent publication No. CN101388000B, a guide sign spatial arrangement evaluation method based on view superimposition analysis is proposed, in which the view in the article is the view of a pedestrian, not the visible region of a guide sign. The patent aims to form an accumulated visibility distribution map by inputting a specified pedestrian flow line and researching the superposition of pedestrian vision fields on the route, and analyze the reasonable placement position of a mark according to the accumulated visibility. However, the influence of the marks on the pedestrian movement is not analyzed, the pedestrian movement process in the paper is input into the scene space in a preset pedestrian streamline form, and the judgment mode is greatly influenced by the pedestrian streamline input by people.
In the patent, the process of receiving and confirming the information of the pedestrian and the sign is considered firstly, and the vision field of the pedestrian is abstracted into a fan-shaped area. The sector area is defined by the following formula:
Figure 189337DEST_PATH_IMAGE012
in the formula (I), the compound is shown in the specification,
Figure 859353DEST_PATH_IMAGE013
it is the visibility that,
Figure 973939DEST_PATH_IMAGE014
and
Figure 754814DEST_PATH_IMAGE015
refers to the range of the pedestrian's line of sight and the distance of a point in the field of view,
Figure 536825DEST_PATH_IMAGE016
is the angle from the centerline of a point in the line of sight,
Figure 377742DEST_PATH_IMAGE017
and
Figure 979625DEST_PATH_IMAGE018
is the origin-destination angle of the sector. This model in the patent would make the visibility in the sector view higher at the center line and lower at the edges of the view, which is also true of reality.
After determining the field of view and visibility concept, the patent produces a spatial visibility profile in the following steps.
Drawing a space layout diagram, drawing a vector diagram of the space layout as a base diagram of the view superposition analysis;
step 2, converting the vector diagram into a grid diagram;
step 3, on the basis of the grid diagram, inputting a streamline according to the requirements of the origin-destination and trend rules, and calibrating the visual angle of the streamline according to the type of the mark
Figure 564190DEST_PATH_IMAGE019
And the distance of vision
Figure 200707DEST_PATH_IMAGE020
A parameter;
step 4, setting a decision point if needed, setting according to the change condition of the streamline passing space, and simultaneously calibrating a value of a corresponding view angle for the decision point;
step 5, performing capsule-pass on the starting point (L) of the streamline according to the grid precision set by the capsule-pass1) And at a unit length per subsequent increment (L)2、L3、…、Lm) Each forming a visual sector and according to the formula
Figure 212526DEST_PATH_IMAGE021
In the formula
Figure 36125DEST_PATH_IMAGE022
The visibility accumulated value of a certain point is obtained, and m visual sectors are superposed to form the distribution of the spatial accumulated visibility CV;
and 6, repeating the operations of the steps 2, 3, 4 and 5 until the superposition of the vision fields of all the single flow lines is completed.
Step 7, inputting the flow rate (W) of the streamline1、W2、…、Wm) As analytical weight for each streamline, according to the formula
Figure 424381DEST_PATH_IMAGE023
And calculating the multi-stream visual effect.
And 8: and evaluating the rationality of the spatial arrangement of the guide signs according to the cumulative visibility values of the multiple flow lines of the current position or the design position of the guide signs.
Through the steps, the spatial visibility distribution map can be generated through the superposition of the visual fields from the angle of the visual field of the pedestrian, and the optimal position for placing the mark can be determined through the visibility distribution map.
The disadvantages of the prior art solutions are:
the first technical scheme has the following defects:
in the first technical scheme, the influence range of the mark on the pedestrian is fitted into an elliptical curve, the pedestrian entering an elliptical area can change the motion direction under the influence of the mark, and in the process, the limitation of the visual field of the person is ignored, and the person cannot watch the mark behind the person. The human field of view is typically 124 degrees and about 25 degrees when attention is focused, and the pedestrian typically looks forward during motion. The visible range of the sign should have ended when the pedestrian faces away from the sign.
The second technical scheme has the following defects:
in the second technical solution, the spatial visibility distribution map is calculated by means of the pedestrian field of view, and since the pedestrian moves continuously, the visibility in the field of view needs to be calculated every time in one network grid, and the calculation amount is particularly large. In addition, in the analysis method using the visual distribution degree map, the pedestrian flow line needs to be defined by itself. The definition process has a subjective nature that makes the correlation between the analysis result and the input pedestrian flow line high.
Aiming at the defects in the prior art, the invention provides a method for setting a guide mark, which is used for simulating the complete motion process of a pedestrian in motion after being influenced by the guide mark and provides an intuitive analysis method for setting the guide mark.
Disclosure of Invention
The following presents a simplified summary of the invention in order to provide a basic understanding of some aspects of the invention. It should be understood that this summary is not an exhaustive overview of the invention. It is not intended to determine the key or critical elements of the present invention, nor is it intended to limit the scope of the present invention. Its sole purpose is to present some concepts in a simplified form as a prelude to the more detailed description that is discussed later.
In view of this, in order to solve the technical problem of unreasonable setting of the guide mark in the prior art, the invention provides a method for setting the guide mark, which comprises the following steps:
s1, establishing a pedestrian simulation model, establishing a pedestrian motion scene in the model, and adding a configuration scheme of obstacles and guide signs in the scene;
s2, setting a visible area of the guide mark according to the configuration scheme of the guide mark and the position of the obstacle in the scene;
s3, inputting the information of the pedestrian in the scene of S1, and simulating the movement process of the pedestrian OD; inputting pedestrians at a constant flow rate at the entrance of the scene, and updating the positions of the pedestrians;
s4, judging the guiding state of the pedestrian; s5 is executed when the pedestrian is in the guiding state; when the pedestrian is in a non-guiding state, the pedestrian performs position updating according to the OD of the pedestrian;
s5, when the pedestrian is in the guiding state of one guiding sign, adding a virtual guiding point in the self OD of the pedestrian to change the self OD path and move to the virtual guiding point, when the pedestrian is in the guiding state of more than one guiding sign, the pedestrian selects the indicating direction of one guiding sign with equal probability, and adds the virtual guiding point to change the self OD path and move to the virtual guiding point; repeating the steps S4 to S5 until the pedestrian completely exits the exit, and then executing S6;
s6, executing S1, and executing S2 to S5 after a new configuration scheme of the guide mark is introduced into the pedestrian simulation model;
and S7, comparing motion path indexes and motion time indexes generated in the motion process of the pedestrian in the configuration schemes of different guide marks, and evaluating the reasonability of the setting of the guide marks.
Preferably, in S1, the method for creating a pedestrian motion scene in the model and adding an obstacle and a guide sign in the scene is to import a DXF file into the pedestrian simulation model, where the DXF file includes information about a road scene, a guide sign, and an obstacle.
Preferably, the specific method for setting the visible range of the guide sign in S2 is that the visible range of the guide sign includes the visual range of the pedestrian and the guide sign, and the shielding of the pedestrian and the obstacle;
(1) line of sight between pedestrian and guide sign
Considering the visual distance between the pedestrian and the guide mark, defining the visual range of the guide mark to be 40m to 90 m;
(2) shielding of pedestrian and obstacle
Considering the shielding effect of the obstacle, and deducting the shielding area, the shielding range of the pedestrian and the obstacle is as follows:
Figure 479904DEST_PATH_IMAGE024
wherein the content of the first and second substances,Hin order to know the height of the obstacle,his the height of the obstacle in the scene,X1is the relative distance of the obstacle from the guide sign,X2the visual angle range of the pedestrian and the guide sign;
(3) view angle of pedestrian and guide sign
Defining the visual field angle of the guide sign by considering the visual field angles of the pedestrian and the guide sign
Figure 928203DEST_PATH_IMAGE025
Wherein the content of the first and second substances,
Figure 504678DEST_PATH_IMAGE026
to orient the deviation angle between the sign and the pedestrian's line of sight,
Figure 431046DEST_PATH_IMAGE027
is the perception probability corresponding to the deviation angle when
Figure 510997DEST_PATH_IMAGE028
A more than 15 th percentile is considered to be successful,
Figure 395777DEST_PATH_IMAGE029
in order to normalize the parameters of the process,
Figure 193968DEST_PATH_IMAGE029
by passing
Figure 924027DEST_PATH_IMAGE030
And (6) calculating.
Preferably, in S4, the specific method for determining the guiding state of the pedestrian is that after the pedestrian enters the visible range of one guiding sign, the pedestrian compares the OD information of the pedestrian with the guiding path of the guiding sign, and when the OD of the pedestrian is the same as the guiding path of the guiding sign, it is determined that the guiding of the guiding sign can be followed, and the pedestrian enters the guiding state; when the own OD of the pedestrian is different from the guide path of the guide mark, the pedestrian is judged not to follow the guide of the guide mark, and the pedestrian keeps a non-guide state.
Preferably, in S5, the virtual navigation point is added by adding the virtual navigation point at the intersection of the pointing direction of the guiding mark and the range of the visual field; in order to avoid crowding of pedestrians on the virtual navigation point, the effect of the guide sign is released within the range of 3-5 meters of the virtual navigation point.
Preferably, in S7, the motion path index and the motion time index generated in the motion process of the pedestrian are specifically, the motion path index represents a path length of the pedestrian in the motion process from the scene entrance to the scene exit; the motion time index represents the motion time of the pedestrian in the motion process from the scene entrance to the scene exit.
Preferably, the specific method of evaluating the rationality of the guide flag setting in S7 is to judge that the guide flag setting is rational when the pedestrian movement path index is shortest in the arrangement of all the guide flags and the movement time index is shortest when used in the arrangement of all the guide flags.
A computer comprising a memory storing a computer program and a processor implementing the steps of the method of a method of setting a guidance flag when executing the computer program.
A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out a method of setting a guidance flag.
The invention has the following beneficial effects: the invention further analyzes the actual distribution condition of pedestrian flow in each path and the utilization rate condition of each exit by comparing the simulation process with the guide mark and without the guide mark, evaluates the reasonability of the setting of the guide mark and solves the technical problem of unreasonable setting of the guide mark.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:
FIG. 1 is a schematic flow chart of a method according to an embodiment of the present invention;
FIG. 2 is a schematic view of a range of viewing distances according to an embodiment of the present invention;
FIG. 3 is a schematic view illustrating a range of viewing angles according to an embodiment of the present invention;
FIG. 4 is a schematic diagram of a masking range according to an embodiment of the present invention;
fig. 5 is a schematic view of a virtual navigation point according to an embodiment of the invention.
Detailed Description
In order to make the technical solutions and advantages of the embodiments of the present application more apparent, the following further detailed description of the exemplary embodiments of the present application with reference to the accompanying drawings makes it clear that the described embodiments are only a part of the embodiments of the present application, and are not exhaustive of all embodiments. It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict.
Example 1, this embodiment is described with reference to fig. 1 to 5, and a method of setting a guide mark includes the steps of:
s1, establishing a pedestrian simulation model, establishing a pedestrian motion scene in the model, and adding a configuration scheme of obstacles and guide signs in the scene; specifically, a DXF file is imported into the pedestrian simulation model, and the DXF file includes road scenes, guide signs, and obstacle information.
Specifically, the simulation model is a social force model, a cellular automaton model, or a lattice gas model.
S2, setting the visual field range of the guide mark according to the configuration scheme of the guide mark and the position of the obstacle in the scene; specifically, the visual field range of the guide sign comprises a visual distance range of the pedestrian and the guide sign, a visual angle range of the pedestrian and the guide sign and a shielding range of an obstacle in a scene;
considering the influence of the sight distance between the pedestrian and the guide sign, when the pedestrian observes the guide sign, the guide sign can be recognized only in a certain circular range, and the guide sign cannot be recognized due to the fact that the guide sign is too small in size in the field of view due to too long distance. Meanwhile, the color, material and content of the mark influence the visual field range of the guide mark. The schematic view distance between the pedestrian and the guiding sign can be seen in fig. 2.
Setting the range of sight distance between the pedestrian and the guide sign: the line-of-sight distance between the pedestrian and the guide sign is 40m to 90 m;
considering the shielding effect of the obstacles in the scene, when the obstacles exist in the scene, a non-visible area is formed in the scene according to the shielding effect. The area is determined by the height of the pedestrian (typically using an average height of 1.7m for the pedestrian) and the height and position of the guide sign, obstacle. And for the obstacles in the circular visual field, calculating the shielding range in the visual field according to the relative positions and the relative heights of the obstacles and the guide marks. Considering the shielding effect of the obstacle, the shielding area is subtracted, and the shielding range of the pedestrian and the obstacle can be referred to fig. 4.
Setting the shielding range of pedestrians and obstacles in the scene:
Figure 858485DEST_PATH_IMAGE031
wherein the content of the first and second substances,Hin order to know the height of the obstacle,his the height of the obstacle in the scene,X1is the relative distance of the obstacle from the guide sign,X2the visual angle range of the pedestrian and the guide sign;
considering the visual angle influence of the pedestrian and the guide sign, the visual range is limited when the attention of the person is focused, and the influence of the direction of the sight line and the direction of the guide sign on the pedestrian receiving sign information is large. It is generally believed that the direction of the line of sight of the pedestrian is consistent with the direction of movement during movement. If the guide sign deviates from the sight line direction farther, the pedestrian is more difficult to notice the information of the guide sign, and if the deviation angle is larger than 90 degrees, the guide sign is behind the pedestrian, and even if the pedestrian does not generate the behavior path for receiving the information in the sight distance range of the guide sign, the behavior path can not be changed. In addition, it still needs to be considered that most pedestrians receive the information of the guiding sign at random after entering the range of the visual field, and even the pedestrians can not sense the guiding sign through the whole visual field. The randomness of the process of receiving the guide sign information by the pedestrian is described by the probability, and the smaller the visual angle between the pedestrian and the guide sign, the higher the probability of receiving the information, and the larger the visual angle, the lower the probability of receiving the information. The perspective view of the pedestrian and the guiding sign can be seen in fig. 3.
Setting the visual angle of the pedestrian and the guide sign:
Figure 648586DEST_PATH_IMAGE032
wherein the content of the first and second substances,
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to orient the deviation angle between the sign and the pedestrian's line of sight,
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is the perception probability corresponding to the deviation angle when
Figure 522367DEST_PATH_IMAGE035
A more than 15 th percentile is considered to be successful,
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in order to normalize the parameters of the process,
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by passing
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And (6) calculating.
In particular, when
Figure 237065DEST_PATH_IMAGE034
Equal to the 50 th percentile, the perception is considered to be successful or when
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Equal to the 85 th percentile, the perception is considered successful.
S3, inputting the information of the pedestrian in the scene of S1, and simulating the movement process of the pedestrian OD; inputting pedestrians at a constant flow rate at the entrance of the scene, and updating the positions of the pedestrians;
s4, judging the guiding state of the pedestrian; s5 is executed when the pedestrian is in the guiding state; when the pedestrian is in a non-guiding state, the pedestrian performs position updating according to the OD of the pedestrian;
the pedestrian guiding state judgment is an information perception stage, and the whole process comprises an identification stage, a judgment stage and a decision stage.
An identification stage: the pedestrian enters the visible range of the guide sign set at S2 as soon as the pedestrian enters the range of the visual distance between the pedestrian and the guide sign. In the identification stage, the pedestrian can continuously identify the information of the guide sign.
A judging stage: after the pedestrian enters the visible range of one guide sign, the pedestrian obtains the guide path information of the guide sign by identifying the information of the guide sign, compares the OD information of the pedestrian with the guide path of the guide sign, and judges whether to follow the guide of the guide sign.
A decision stage: the pedestrian can enter the decision when judging that the pedestrian can receive the guide of a plurality of guide marks at the same time in the overlapping area of the visual field range of the plurality of guide marks. In the decision stage, the pedestrian selects one guide sign to be guided with equal probability.
Specifically, the method for judging the guiding state of the pedestrian is that after the pedestrian enters a visible domain range of a guiding mark, the pedestrian compares the OD information of the pedestrian with the guiding path of the guiding mark, and when the OD of the pedestrian is the same as the guiding path of the guiding mark, the pedestrian can be judged to follow the guiding of the guiding mark and enter the guiding state; when the own OD of the pedestrian is different from the guide path of the guide mark, the pedestrian is judged not to follow the guide of the guide mark, and the pedestrian keeps a non-guide state.
And S5, if the pedestrian determines that the self path is guided by the guide sign, the motion path of the pedestrian is re-planned. In the process of planning the line recognition movement path, the problem of how to simulate the influence of the guide mark on the line recognition movement path is solved. After the information perception stage, if the pedestrian path is determined to be influenced by the guide mark, the moving path of the pedestrian is re-planned. After the pedestrian perceives the influence of the guide sign, after the pedestrian receives the guide information of the guide sign, the pedestrian sets a virtual navigation point along the direction indicated by the guide sign, and updates the current destination to the virtual navigation point pointed by the guide sign, so that the pedestrian moves to the position of the navigation point according to the pedestrian motion simulation model.
When the pedestrian is in the guiding state of one guiding mark, adding a virtual navigation point in the self OD of the pedestrian, re-planning the motion path of the pedestrian, enabling the pedestrian to change the self OD path, moving to the virtual navigation point according to a pedestrian motion simulation model, when the pedestrian is in the guiding state of more than one guiding mark, enabling the pedestrian to select the indication direction of one of the guiding marks with equal probability, adding the virtual navigation point, enabling the pedestrian to change the self OD path, and moving to the virtual navigation point according to the pedestrian motion simulation model; repeating the steps S4 to S5 until the pedestrian completely exits the exit, and then executing S6; the setting of the virtual navigation points can be referred to fig. 5.
Specifically, in S5, the virtual navigation point is added by setting the navigation point along the direction indicated by the guiding mark after the pedestrian receives the information of the guiding mark, and adding the virtual navigation point at the intersection of the pointing direction of the guiding mark and the visible range; in order to avoid crowding of pedestrians on the virtual navigation point, the effect of the guide sign is released within the range of 3-5 meters of the virtual navigation point.
Specifically, in order to avoid crowding of pedestrians on the virtual navigation point, when too many pedestrians exist on the same virtual navigation point, the pedestrians exit from the guided state within a range of 3-5 meters away from the virtual navigation point, and the process of moving under the influence of the guide sign is finished. And the pedestrian is prevented from being crowded on the virtual navigation point in the high-density condition. After the action effect of the guide mark is released, the pedestrian follows the self OD movement, and enters the visual field of the next mark, and the S4 is repeated to enter the guide state.
S6, executing S1, and executing S2 to S5 after a new configuration scheme of the guide mark is introduced into the pedestrian simulation model;
specifically, S6 may import the new configuration scheme of the guidance sign multiple times to find the most reasonable setting position of the guidance sign.
And S7, comparing motion path indexes and motion time indexes generated in the motion process of the pedestrian in the configuration schemes of different guide marks, and evaluating the reasonability of the setting of the guide marks.
Specifically, the motion path index represents the path length of the pedestrian in the motion process from the scene entrance to the scene exit; the motion time index represents the motion time of the pedestrian in the motion process from the scene entrance to the scene exit.
Specifically, the guiding sign is judged to be reasonably set when the pedestrian movement path index is shortest in the configuration schemes of all the guiding signs and the movement time index is shortest in the configuration schemes of all the guiding signs.
Example 2, this embodiment is described with reference to fig. 1 to 5, and a method of setting a guide mark includes the steps of:
s1, establishing a pedestrian simulation model, establishing a pedestrian motion scene in the model, and adding configuration schemes of obstacles and guide signs and pedestrian information in the scene; simulating the OD motion process of the pedestrian in the pedestrian simulation model according to the scene;
specifically, a pedestrian is input at the entrance of the scene at a constant flow rate, and the pedestrian performs position updating according to the OD of the pedestrian;
s2, setting the visual field range of the guide mark according to the configuration scheme of the guide mark and the position of the obstacle in the scene;
s3, judging the guiding state of the pedestrian; s4 is executed when the pedestrian is in the guiding state; when the pedestrian is in a non-guiding state, the pedestrian performs position updating according to the OD of the pedestrian;
s4, when the pedestrian is in the guiding state of one guiding sign, adding a virtual guiding point in the self OD of the pedestrian to change the self OD path and move to the virtual guiding point, when the pedestrian is in the guiding state of more than one guiding sign, the pedestrian selects the indicating direction of one guiding sign with equal probability, and adds the virtual guiding point to change the self OD path and move to the virtual guiding point; repeating the steps S3 to S4 until the pedestrian completely exits the exit, and then executing S5;
s5, executing S1, and executing S2 to S4 after a new configuration scheme of the guide mark is introduced into the pedestrian simulation model;
and S6, comparing motion path indexes and motion time indexes generated in the motion process of the pedestrian in the configuration schemes of different guide marks, and evaluating the reasonability of the setting of the guide marks.
Specifically, S5 may import the new configuration scheme of the guidance sign multiple times to find the most reasonable setting position of the guidance sign.
The working principle of the invention is as follows:
randomly generating pedestrian positions in space at the beginning of the simulation; after the simulation is started, pedestrians are continuously placed into the walking space from the entrance. In either way, the moving state of the pedestrian entering the simulation space belongs to the non-guiding state.
Pedestrian motion simulation is then performed. The pedestrian position state constitutes a complete finite state set S = { "not in the mark visible area", "in a visible area", "in the visible area superposition area" }, and the pedestrian performs position updating through a motion simulation model such as a social force model. If the pedestrian is in a visible area or a visible area superposition area and is in a non-conductive state, the information interaction between the pedestrian and the sign occurs, namely, the information perception stage is entered. At this stage, the pedestrian determines the probability of information perception occurring according to the view angle factor in the visual field model. According to the visual field model, the visual line of the pedestrian and the direction of the guide sign form a visual angle, the recognition probability is high when the guide sign is in the middle of the visual field, the recognition probability is low when the guide sign is at the edge of the visual field, and the recognition probability of the sign behind the pedestrian is zero when the visual angle is larger than ninety degrees.
The pedestrians in the three positions are subjected to position updating through a pedestrian motion simulation model such as a social force model, and the positions are converted into new states through judging the positions of the pedestrians and the visual field range after the position updating.
Pedestrians (single area or overlapped area) in the visible area can enter the guided state under the influence of the mark through information perception, then move towards the virtual navigation point through the mode of temporarily adding the virtual navigation point in the OD of the pedestrians, and move out of the visible area range of the mark to leave the guided state.
And the pedestrians which are not in the visible area are subjected to position updating according to the own OD only through the pedestrian motion simulation model, if the pedestrians do not enter the visible area range in the position updating process, the position updating is continued, and if the pedestrians enter the visible area range, information sensing and path planning are required.
And when all the pedestrians walk out of the simulation space, counting the motion time and the motion path indexes of the pedestrians, and evaluating the rationality of the guide signs.
The terms mentioned in the present invention define:
and an information perception stage: and identifying the guide sign by the pedestrian.
Visual field: the extent to which the guide mark can be seen.
OD: the start and end points of pedestrian movement.
Virtual navigation points: and a navigation point guided by the guide mark is added on the pedestrian OD, so that the pedestrian moves to the virtual navigation point, and the OD of the pedestrian is changed.
The key core technology of the invention is as follows:
1. a more detailed analysis is made on the visual field of the guide sign from the aspects of both the visual distance and the visual angle, and the analysis method can better describe the influence of the guide sign on the pedestrian.
2. The pedestrian flow simulation system can directly simulate the process that a pedestrian receives a guide sign in the moving process, and analyzes the actual distribution condition of the pedestrian flow on each path and the utilization rate condition of each outlet through comparison of the simulation process with the guide sign and the simulation process without the guide sign, so that the reasonability of setting of the sign is evaluated.
The computer device of the present invention may be a device including a processor, a memory, and the like, for example, a single chip microcomputer including a central processing unit and the like. And the processor is used for implementing the steps of the recommendation method capable of modifying the relationship-driven recommendation data based on the CREO software when executing the computer program stored in the memory.
The Processor may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data (such as audio data, a phonebook, etc.) created according to the use of the cellular phone, and the like. In addition, the memory may include high speed random access memory, and may also include non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), at least one magnetic disk storage device, a Flash memory device, or other volatile solid state storage device.
Computer-readable storage medium embodiments
The computer readable storage medium of the present invention may be any form of storage medium that can be read by a processor of a computer device, including but not limited to non-volatile memory, ferroelectric memory, etc., and the computer readable storage medium has stored thereon a computer program that, when the computer program stored in the memory is read and executed by the processor of the computer device, can implement the above-mentioned steps of the CREO-based software that can modify the modeling method of the relationship-driven modeling data.
The computer program comprises computer program code which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, and the like. It should be noted that the computer readable medium may contain content that is subject to appropriate increase or decrease as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, computer readable media does not include electrical carrier signals and telecommunications signals as is required by legislation and patent practice.
While the invention has been described with respect to a limited number of embodiments, those skilled in the art, having benefit of this description, will appreciate that other embodiments can be devised which do not depart from the scope of the invention as described herein. Furthermore, it should be noted that the language used in the specification has been principally selected for readability and instructional purposes, and may not have been selected to delineate or circumscribe the inventive subject matter. Accordingly, many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the appended claims. The present invention has been disclosed in an illustrative rather than a restrictive sense, and the scope of the present invention is defined by the appended claims.

Claims (7)

1. A method of setting a guide mark, comprising the steps of:
s1, establishing a pedestrian simulation model, establishing a pedestrian motion scene in the model, and adding a configuration scheme of obstacles and guide signs in the scene;
s2, setting a visible area of the guide mark according to the configuration scheme of the guide mark and the position of the obstacle in the scene; the visual field of the guide sign comprises the visual distance between the pedestrian and the guide sign, the visual angle between the pedestrian and the guide sign and the shielding between the pedestrian and an obstacle; the specific setting method comprises the following steps:
(1) line of sight between pedestrian and guide sign
Considering the visual distance between the pedestrian and the guide mark, defining the visual range of the guide mark to be 40m to 90 m;
(2) shielding of pedestrian and obstacle
Considering the shielding effect of the obstacle, and deducting the shielding area, the shielding range of the pedestrian and the obstacle is as follows:
Figure FDA0003418361100000011
h is the height of a known obstacle, H is the height of the obstacle in the scene, X1 is the relative distance between the obstacle and the guide sign, and X2 is the visual angle range between the pedestrian and the guide sign;
(3) view angle of pedestrian and guide sign
Defining the visual field angle of the guide sign by considering the visual field angles of the pedestrian and the guide sign
p=k(90°-θ)θ∈(0,90)
Wherein theta is a deviation angle between the guide mark and the sight line of the pedestrian, p is a perception probability corresponding to the deviation angle, when p is larger than the 15 th percentile, the perception is considered to be successful, k is a normalization parameter, and k passes
Figure FDA0003418361100000012
Calculating to obtain;
s3, inputting the information of the pedestrian in the scene of S1, and simulating the movement process of the pedestrian OD; inputting pedestrians at a constant flow rate at the entrance of the scene, and updating the positions of the pedestrians;
s4, judging the guiding state of the pedestrian; s5 is executed when the pedestrian is in the guiding state; when the pedestrian is in a non-guiding state, the pedestrian performs position updating according to the OD of the pedestrian; the specific method for judging the guiding state of the pedestrian is that after the pedestrian enters the visible domain range of one guiding sign, the pedestrian compares the OD information of the pedestrian with the guiding path of the guiding sign, and when the OD of the pedestrian is the same as the guiding path of the guiding sign, the pedestrian can be judged to follow the guiding of the guiding sign and enter the guiding state; when the OD of the pedestrian is different from the guide path of the guide mark, judging that the pedestrian cannot follow the guide of the guide mark, and keeping the pedestrian in a non-guide state;
s5, when the pedestrian is in the guiding state of one guiding sign, adding a virtual guiding point in the self OD of the pedestrian to change the self OD path and move to the virtual guiding point, when the pedestrian is in the guiding state of more than one guiding sign, the pedestrian selects the indicating direction of one guiding sign with equal probability, and adds the virtual guiding point to change the self OD path and move to the virtual guiding point; repeating the steps S4 to S5 until the pedestrian completely exits the exit, and then executing S6;
s6, executing S1, and executing S2 to S5 after a new configuration scheme of the guide mark is introduced into the pedestrian simulation model;
and S7, comparing motion path indexes and motion time indexes generated in the motion process of the pedestrian in the configuration schemes of different guide marks, and evaluating the reasonability of the setting of the guide marks.
2. The method of claim 1, wherein the step S1 is to create a pedestrian motion scene in the model, and to add the configuration scheme of the obstacles and the guiding signs to the scene by importing a DXF file into the pedestrian simulation model, wherein the DXF file includes the road scene, the guiding signs and the obstacle information.
3. The method according to claim 2, wherein the virtual navigation point is added at S5 by adding the virtual navigation point at the intersection point of the pointing direction of the guiding mark and the range of the visual field; in order to avoid crowding of pedestrians on the virtual navigation point, the effect of the guide mark is released within the range of 3-5 meters of the virtual navigation point.
4. The method according to claim 3, wherein the motion path index and the motion time index generated during the pedestrian motion process in S7 are specifically, the motion path index represents the path length of the pedestrian during the motion process from the scene entrance to the scene exit; the motion time index represents the motion time of the pedestrian in the motion process from the scene entrance to the scene exit.
5. The method according to claim 4, wherein the concrete method of evaluating the rationality of the guide sign setting at S7 is to judge the rationality of the guide sign setting when the pedestrian moving path index is shortest in the arrangement of all the guide signs and the moving time index is shortest when used in the arrangement of all the guide signs.
6. A computer comprising a memory storing a computer program and a processor implementing the steps of the method of any one of claims 1 to 5 when the computer program is executed by the processor.
7. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the method of any one of claims 1 to 5.
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