CN107704667A - Simulate crowd movement's emulation mode, the device and system of sociability - Google Patents
Simulate crowd movement's emulation mode, the device and system of sociability Download PDFInfo
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- CN107704667A CN107704667A CN201710854185.6A CN201710854185A CN107704667A CN 107704667 A CN107704667 A CN 107704667A CN 201710854185 A CN201710854185 A CN 201710854185A CN 107704667 A CN107704667 A CN 107704667A
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- G06F30/20—Design optimisation, verification or simulation
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Abstract
The present invention relates to a kind of crowd movement's emulation mode for simulating sociability, including：Scene set information, individual is randomly provided in the clear area of scene information, generates individual information, the individual information includes the position coordinates of individual, the velocity attitude and velocity amplitude of individual；The sociability factor of influence of presenting set cluster moderate is set, each individual sociability direction change value is calculated according to sociability factor of influence and individual information；The individual sociability direction change value is carried out into vector with the velocity attitude of individual to merge, the individual speed direction after being updated, according to the individual speed direction after the renewal and individual position coordinates, velocity amplitude generation crowd movement's emulation.
Description
Technical field
The present invention relates to a kind of crowd movement's emulation mode, device and system for simulating sociability.
Background technology
Large-scale public place accident takes place frequently, how quickly, safety evacuation crowd be security fields research focus
Problem.Crowd movement's emulation has instructing crowd evacuation, formulate urgent prediction scheme, Scenario Design and video display amusement etc.
It is widely applied.At present, crowd simulation emulation be largely focused on how to carry out large-scale crowd collision avoid, Yi Jiru
In terms of what improves simulation efficiency, the modeling of the social feature of crowd movement, such as sociability have ignored.Although based on video
Method extracts colony's individual movement behavior from real video, but can not describe the mass motion form of whole colony.Sociability
The social feature of generally existing in group movement, show as individual assemble in groups, cause individual will fade away and
The behavior of cluster will is deferred to, self-organizing, self-coordinating are showed inside colony and mutually merges, move consistent characteristic.Therefore,
How to emulate sociability turns into the study hotspot of group movement behavior simulation.
The content of the invention
The present invention is in order to solve the above problems, it is proposed that a kind of crowd movement's emulation mode for simulating sociability, constructs
Crowd movement's framework of sociability is simulated, establishes the sociability model of crowd movement, and it is coupled with crowd movement, is obtained
A kind of emulation mode that can simulate sociability crowd movement.
To achieve these goals, the present invention uses following scheme：
A kind of crowd movement's emulation mode for simulating sociability, including：
Scene set information, individual is randomly provided in the clear area of scene information, generates individual information, the individual
Information includes the position coordinates of individual, the velocity attitude and velocity amplitude of individual；
The sociability factor of influence of presenting set cluster moderate is set, calculated according to sociability factor of influence and individual information every
The sociability direction change value of one individual；
The individual sociability direction change value is carried out into vector with the velocity attitude of individual to merge, after being updated
Individual speed direction, crowd movement is generated according to the individual speed direction after the renewal and individual position coordinates, velocity amplitude
Emulation.
Further, each individual sociability direction change value bag is calculated according to sociability factor of influence and individual information
Include：
The first sociability direction change value between individual and adjacent individual is calculated first, is imitated according to the propagation between individual
Should, changed by the first sociability direction and be worth to individual the second sociability direction change value between secondary adjacent individual, repeatedly
Iteration calculates N number of sociability direction and changed until obtaining the N sociabilities direction change value between individual and border individual
The expectation of value, obtain the sociability direction change value of individual.
Further, the first sociability direction change value calculated between individual and adjacent individual includes：
The circle region using unit distance as radius is set, includes the individual and some adjoining in unique center in the round region
Individual, the velocity attitude phasor difference between all of its neighbor individual and center individual is calculated, above-mentioned velocity attitude phasor difference is obtained and exists
Expectation in circle region on all individuals, the expectation is made to multiply with sociability factor of influence, obtains the first sociability direction and changes
Variate.
Further, calculating individual the second sociability direction change value between secondary adjacent individual includes：
The circle region using 2 times of unit distances as radius is set, unique center individual, Ruo Ganlin are included in the round region
Connect individual and abut individual several times, the First Speed direction vector calculated between all of its neighbor individual and center individual is poor, institute
The second speed direction vector for having secondary adjoining individual between each adjacent individual is poor, and First Speed direction vector is poor and second is fast
Degree direction vector difference, which is added, obtains that third speed direction vector is poor, for representing the speed of all adjacent individuals and centers individual
Direction vector is poor, expectation of the third speed direction vector difference in circle region on all individuals is obtained, by the expectation and cluster
Property factor of influence make multiply, obtain the second sociability direction change value.
Sociability factor of influence in above-mentioned technical proposal reduces with the increase of distance between individual, for representing cluster
Concentration degree is gradually reduced with distance increase between individual.
Further, the velocity amplitude obtains in the following way：
Desired speed, maximal rate and peak acceleration are set, individual institute is calculated using maximal rate and peak acceleration
There is candidate's speed, it would be desirable to which speed obtains optimum speed as velocity amplitude compared with all candidate's speed.
Further, it would be desirable to which compared with all candidate's speed, obtain optimum speed includes speed as velocity amplitude：
Each individual expectation collision time is set, and user-defined weight is set for the expectation collision time
Value, according to the individual expectation collision time under user-defined weighted value and individual desired speed, obtain the punishment of individual
Measurement, the minimum value for punishing measurement according to individual determine optimum speed.
In above-mentioned technical scheme, time step can be set, update an individual speed side in each time step
To, individual position coordinates and velocity amplitude, animation frame is generated, form crowd movement by each animation frame emulates.
The invention also provides a kind of storage device, is stored with a plurality of instruction, and the instruction is loaded and performed by processor
Handle below：
Scene set information, individual is randomly provided in the clear area of scene information, generates individual information, the individual
Information includes the position coordinates of individual, the velocity attitude and velocity amplitude of individual；
The sociability factor of influence of presenting set cluster moderate is set, calculated according to sociability factor of influence and individual information every
The sociability direction change value of one individual；
The individual sociability direction change value is carried out into vector with the velocity attitude of individual to merge, after being updated
Individual speed direction, crowd movement is generated according to the individual speed direction after the renewal and individual position coordinates, velocity amplitude
Emulation.
The present invention has also been proposed a kind of crowd movement's analogue system for simulating sociability, including display, imitative for showing
Real movement is drawn；Processor, for realizing each instruction；And storage device, for storing a plurality of instruction, the instruction is added by processor
Carry and perform following processing：
Scene set information, individual is randomly provided in the clear area of scene information, generates individual information, the individual
Information includes the position coordinates of individual, the velocity attitude and velocity amplitude of individual；
The sociability factor of influence of presenting set cluster moderate is set, calculated according to sociability factor of influence and individual information every
The sociability direction change value of one individual；
The individual sociability direction change value is carried out into vector with the velocity attitude of individual to merge, after being updated
Individual speed direction, crowd movement is generated according to the individual speed direction after the renewal and individual position coordinates, velocity amplitude
Emulation.
Beneficial effects of the present invention：
The present invention proposes a kind of emulation mode and system for simulating crowd movement's sociability, and the present invention transports true crowd
Cluster features during dynamic are incorporated in crowd movement's emulation, construct crowd movement's framework of simulation sociability：Establish crowd
The sociability model of motion, and it is coupled with crowd movement, simulation result render finally by Realistic Rendering defeated
Go out.This method can more really carry out the emulation of crowd movement, embody the cluster features during group movement, enhancing
The sense of reality of crowd simulation result.
Brief description of the drawings
Fig. 1 is the flow chart that the present invention simplifies.
Embodiment：
The invention will be further described with embodiment below in conjunction with the accompanying drawings.
It is noted that described further below is all exemplary, it is intended to provides further instruction to the application.It is unless another
Indicate, all technologies used herein and scientific terminology are with usual with the application person of an ordinary skill in the technical field
The identical meanings of understanding.
It should be noted that term used herein above is merely to describe embodiment, and be not intended to restricted root
According to the illustrative embodiments of the application.As used herein, unless the context clearly indicates otherwise, otherwise singulative
It is also intended to include plural form, additionally, it should be understood that, when in this manual using term "comprising" and/or " bag
Include " when, it indicates existing characteristics, step, operation, device, component and/or combinations thereof.
As shown in figure 1, a kind of exemplary embodiments of the present invention are a kind of crowd movement's emulation modes for simulating sociability, it is main
Comprise the following steps：
Scene information is initialized first, then builds sociability crowd movement's model；By sociability crowd movement model with
Individual information is combined, and is updated individual information, generation crowd movement's emulation, is obtained the realistic analogue simulation rendered.
It is main to include initializing scene information initialization and individual information for initializing scene information.
The positional information of scene barrier is initialized, there is shown the position coordinates of barrier.Secondly, according to obstacle
Thing information is drawn to be initialized to Scene Semantics, draws the Roadmap figures of scene.This patent carrys out approximate retouch using Roadmap
Scene Semantics information is stated, is used for the region representation for not having barrier in scene into figure (Graph) structure by Roadmap figures
The topological diagram of cut-through thing is described.The topological diagram forms G=(V, E) by summit and side, wherein, V represents the set on summit, should
Roadmap summits are the random coordinates points that avoiding obstacles generate in scene；The set on E expression Roadmap sides, this patent are any
Two distances are l and line is connected to become Roadmap sides without the random point of barrier, are expressed as e (v1,v2) ∈ E, summit
v1And vertex v2It is side e two end points.
Individual information include individual speed direction, individual position coordinates and individual velocity amplitude, individual position coordinates be
Avoiding obstacles generate the position coordinates of individual at random in scene domain.
Then each individual sociability direction change value is calculated according to sociability factor of influence and individual information：
The first sociability direction change value between individual and adjacent individual is calculated first, is imitated according to the propagation between individual
Should, changed by the first sociability direction and be worth to individual the second sociability direction change value between secondary adjacent individual, repeatedly
Iteration calculates N number of sociability direction and changed until obtaining the N sociabilities direction change value between individual and border individual
The expectation of value, obtain the sociability direction change value of individual.
First sociability direction change value is included unique by setting the circle region using unit distance as radius in circle region
The individual and some adjacent individual in center, calculate the velocity attitude phasor difference between all of its neighbor individual and center individual, obtain
Expectation of the above-mentioned velocity attitude phasor difference in circle region on all individuals, it would be desirable to make to multiply with sociability factor of influence, obtain
First sociability direction change value.
Then individual the second sociability direction change value between secondary adjacent individual is calculated：Setting is with 2 times of unit distances
For the circle region of radius, include that unique center is individual, some adjoining are individual and adjacent several times individual in circle region, calculating institute
There is the First Speed direction vector between adjacent individual and center individual poor, all adjoinings are individual between each adjacent individual
Second speed direction vector it is poor, First Speed direction vector difference with second speed direction vector is poor is added to obtain third speed side
To phasor difference, for representing the velocity attitude phasor difference of all adjacent individuals and center individual, third speed direction arrow is obtained
Expectation of the amount difference in circle region on all individuals, the expectation is made to multiply with sociability factor of influence, obtains the second sociability
Direction change value.
In the present embodiment, can realize in accordance with the following steps：
The first step：In different scenes, different clustering capabilitys is presented in crowd movement.The application defines sociability influence
Factor z is simultaneously initialized to it, and its value is arranged in (0,1), with reference to actual scene, the colonization of adjustment z value control crowds
It is set to be consistent with real motion.
Second step：An adjacent distance L is defined, the relation for other individuals and center individual around describing.For appointing
Anticipated individual i, and the border circular areas using i positions as the center of circle, using distance d as radius is defined as to i neighborhood, obtained in neighborhood
I neighborhood NL(i) (L=1), the adjacent distance of neighbours' individual and i in contiguous range is L=1.
3rd step：Velocity attitude change value x is defined, is calculated according to formula (1) when abutting distance L=1, neighbours' individual j
∈NL(i) to the influence value of i velocity attitude.
4th step：When individual k is not i neighbours, this patent is defined between it can be in by the transmission between neighbours' individual with i
Correlation is connect, the number of individuals that its neighbour passes through in for i to k transmittance process, L>1.Use NL(i) (L ＞ 1) is represented and individual i
Between adjacent distance be L all groups of individuals.Because sociability can decay in transmittance process, and consider successively
The complexity of transmission, therefore it is L=5 that this patent, which sets the largest contiguous transmitted distance, it is believed that work as L>When 5, i of the individual to center
The influence of individual is 0.The neighborhood N of L distances when calculating all L≤5L(i)。
5th step：As 1 ＜ L≤5, the cluster direction change value influenceed indirectly is calculated according to formula (2)
6th step：Comprehensive all L are calculated final apart from influence of neighbours' individual to center individual i according to formula (3)
I velocity attitude change value xi。
Process 3：Crowd movement calculates, and sociability is added into crowd movement in this course calculates, and controls that crowd's is whole
Body motion morphology.
Wherein, sociability factor of influence could be arranged to reduce with the increase of distance between individual, for representing cluster
Concentration degree is gradually reduced with distance increase between individual, more embodies Realistic Rendering.
Velocity amplitude in above-described embodiment is using following specific computational methods：
To all individual Vpref、ω、VmaxAnd amaxInitialized, wherein, VprefBe individual desired speed, VmaxIt is
The maximal rate of individual, amaxIt is the peak acceleration of individual, ω represents User Defined weight, for weighing the optimal of individual
Candidate's speed.
1) maximal rate V is utilizedmaxWith peak acceleration amaxCandidate's speed collection V of individual is obtained according to formula (4)cand。
Wherein, ViIndividual i present speed is represented,Individual i j-th candidates speed is represented,Represent individual
The size of i j-th candidates speed,Represent candidate's speed relative to the size of the changing value of present speed, t tables
Show time step,Represent maximal rate changing value in the unit interval.In formula, the size of candidate's speed is by maximal rate
VmaxWith peak acceleration amaxRestriction.Therefore,It should be greater than 0 and be less than maximum speed value Vmax, and its velocity variations valueAlso should be less than
(2) according to the change value x for the individual i velocity attitudes being calculated in process twoiTo calculate new desired speed side
To Dpref
(3) updated according to formula (5) and it is expected velocity attitude
(4) desired speed V is utilizedprefThe new speed v of subsequent time is updated according to formula (6)t+1。
Wherein, penalty is penalty factor, and ω is User Defined weight,Represent it is expected collision time,Represent the variable quantity between desired speed and candidate's speed.In this step, we select to cause penalty factor
Candidate's speed minimum penaltyNew speed v as subsequent timet+1。
Judge whether individual reaches target, if individual returns to second step, continue to calculate lower a period of time without target is reached
Carve new speed；Otherwise, individual reaches target, stop motion.
The present invention can be set to be walked by interlude of the set time, and individual information is updated in each time step, raw
Into animation frame, crowd movement's result of calculation is generated by animation frame, in conjunction with Realistic Rendering technology, by crowd movement's result of calculation
Rendered to obtain crowd evacuation emulation animation.
The present invention proposes a kind of emulation mode for simulating crowd movement's sociability, and this method is by true crowd movement's process
In cluster features incorporate crowd movement emulation in.In order to realize this method, the present invention constructs crowd's fortune of simulation sociability
Dynamic framework：The sociability model of crowd movement is established, and it is coupled with crowd movement, finally by Realistic Rendering to emulation
As a result carry out rendering output.This method can more really carry out the emulation of crowd movement, during embodying group movement
Cluster features, enhance the sense of reality of crowd simulation result.
In order to realize the above method, the invention also provides a kind of storage device, be stored with a plurality of instruction, the instruction by
Processor loads and performs following processing：
Scene set information, individual is randomly provided in the clear area of scene information, generates individual information, the individual
Information includes the position coordinates of individual, the velocity attitude and velocity amplitude of individual；
The sociability factor of influence of presenting set cluster moderate is set, calculated according to sociability factor of influence and individual information every
The sociability direction change value of one individual；
The individual sociability direction change value is carried out into vector with the velocity attitude of individual to merge, after being updated
Individual speed direction, crowd movement is generated according to the individual speed direction after the renewal and individual position coordinates, velocity amplitude
Emulation.
During concrete application, also include this display being connected with processor, emulation animation can be shown, use
Artistic Render component, crowd movement is emulated and carries out Realistic Rendering.
The present invention constructs crowd movement's framework of simulation sociability：Establish the sociability model of crowd movement, and by its
Coupled with crowd movement, simulation result is carried out finally by Realistic Rendering to render output.This method can be more real
The emulation of crowd movement is carried out, the cluster features during group movement is embodied, enhances the sense of reality of crowd simulation result.
Although above-mentioned the embodiment of the present invention is described with reference to accompanying drawing, model not is protected to the present invention
The limitation enclosed, one of ordinary skill in the art should be understood that on the basis of technical scheme those skilled in the art are not
Need to pay various modifications or deformation that creative work can make still within protection scope of the present invention.
Claims (10)
- A kind of 1. crowd movement's emulation mode for simulating sociability, it is characterised in that including：Scene set information, individual is randomly provided in the clear area of scene information, generates individual information, the individual information The velocity attitude and velocity amplitude of position coordinates including individual, individual；The sociability factor of influence of presenting set cluster moderate is set, each is calculated according to sociability factor of influence and individual information The sociability direction change value of body；The individual sociability direction change value is carried out into vector with the velocity attitude of individual to merge, the individual after being updated Velocity attitude, according to the individual speed direction after the renewal and individual position coordinates, velocity amplitude generation crowd movement's emulation.
- 2. according to the method for claim 1, it is characterised in that calculated according to sociability factor of influence and individual information each The sociability direction change value of individual includes：The first sociability direction change value between individual and adjacent individual is calculated first, according to the propagation effect between individual, Changed by the first sociability direction and be worth to individual the second sociability direction change value between secondary adjacent individual, iterated Until obtaining the N sociabilities direction change value between individual and border individual, N number of sociability direction change value is calculated It is expected, obtain the sociability direction change value of individual.
- 3. according to the method for claim 2, it is characterised in that calculate the first sociability side between individual and adjacent individual Include to change value：The circle region using unit distance as radius is set, includes the individual and some adjoining in unique center in the round region Body, the velocity attitude phasor difference between all of its neighbor individual and center individual is calculated, obtains above-mentioned velocity attitude phasor difference in circle Expectation in region on all individuals, the expectation is made to multiply with sociability factor of influence, obtains the change of the first sociability direction Value.
- 4. according to the method for claim 2, it is characterised in that calculate individual the second sociability between secondary adjacent individual Direction change value includes：Set the circle region using 2 times of unit distances as radius, include that unique center is individual, some adjoinings in the round region Body and several times adjacent individual, the First Speed direction vector calculated between all of its neighbor individual and center individual is poor, Suo Youci The adjacent individual second speed direction vector between each adjacent individual is poor, First Speed direction vector difference and second speed side It is added to obtain that third speed direction vector is poor to phasor difference, for representing the velocity attitudes of all adjacent individuals and centers individual Phasor difference, expectation of the third speed direction vector difference in circle region on all individuals is obtained, by the expectation and sociability shadow Ring the factor to make to multiply, obtain the second sociability direction change value.
- 5. according to the method any one of claim 1-4, it is characterised in that the sociability factor of influence is with individual Between distance increase and reduce, for represent cluster concentration degree between individual distance increase and be gradually reduced.
- 6. according to the method for claim 1, it is characterised in that the velocity amplitude obtains in the following way：Desired speed, maximal rate and peak acceleration are set, and calculating individual ownership using maximal rate and peak acceleration waits Select speed, it would be desirable to which speed obtains optimum speed as velocity amplitude compared with all candidate's speed.
- 7. according to the method for claim 6, it is characterised in that by desired speed compared with all candidate's speed, obtain Include to optimum speed as velocity amplitude：Each individual expectation collision time is set, and user-defined weighted value, root are set for the expectation collision time According to the individual expectation collision time under user-defined weighted value and individual desired speed, the punishment measurement of individual is obtained, Optimum speed is determined according to the minimum value of individual punishment measurement.
- 8. according to the method any one of claim 1-7, it is characterised in that set time step, each time step Individual speed direction of interior renewal, individual position coordinates and velocity amplitude, generate animation frame, and crowd's fortune is formed by each animation frame Dynamic emulation.
- 9. a kind of storage device, it is characterised in that be stored with a plurality of instruction, the instruction is loaded by processor and performed following Reason：Scene set information, individual is randomly provided in the clear area of scene information, generates individual information, the individual information The velocity attitude and velocity amplitude of position coordinates including individual, individual；The sociability factor of influence of presenting set cluster moderate is set, each is calculated according to sociability factor of influence and individual information The sociability direction change value of body；The individual sociability direction change value is carried out into vector with the velocity attitude of individual to merge, the individual after being updated Velocity attitude, according to the individual speed direction after the renewal and individual position coordinates, velocity amplitude generation crowd movement's emulation.
- 10. a kind of crowd movement's analogue system for simulating sociability, it is characterised in that including display, for showing that emulation is dynamic Draw；Processor, for realizing each instruction；And storage device, for storing a plurality of instruction, the instruction is loaded simultaneously by processor Perform following handle：Scene set information, individual is randomly provided in the clear area of scene information, generates individual information, the individual information The velocity attitude and velocity amplitude of position coordinates including individual, individual；The sociability factor of influence of presenting set cluster moderate is set, each is calculated according to sociability factor of influence and individual information The sociability direction change value of body；The individual sociability direction change value is carried out into vector with the velocity attitude of individual to merge, the individual after being updated Velocity attitude, according to the individual speed direction after the renewal and individual position coordinates, velocity amplitude generation crowd movement's emulation.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110956684A (en) * | 2019-11-27 | 2020-04-03 | 山东师范大学 | Crowd movement evacuation simulation method and system based on residual error network |
| CN111165395A (en) * | 2020-01-08 | 2020-05-19 | 清华大学 | Experimental method for simulating crowd flow by using zebra fish |
| CN112016660A (en) * | 2020-07-03 | 2020-12-01 | 浙江大学 | Physical force and data combined driven three-dimensional cluster behavior simulation method |
| CN112001937B (en) * | 2020-09-07 | 2023-05-23 | 中国人民解放军国防科技大学 | Group chase and escape method and device based on visual field perception |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20040059548A1 (en) * | 2002-09-09 | 2004-03-25 | Marios Kagarlis | Method of simulating movement of an autonomous entity through an environment |
| CN101714185A (en) * | 2009-12-22 | 2010-05-26 | 中国建筑科学研究院建筑防火研究所 | Automatic simulation method for building disaster evacuation |
| CN104008562A (en) * | 2014-06-06 | 2014-08-27 | 东南大学 | User-oriented planned virtual crowd simulation framework |
| CN104732014A (en) * | 2015-02-26 | 2015-06-24 | 北京交通大学 | Hierarchical crowd simulation method and system used for complex scene |
| US9159152B1 (en) * | 2011-07-18 | 2015-10-13 | Motion Reality, Inc. | Mapping between a capture volume and a virtual world in a motion capture simulation environment |
| CN107016358A (en) * | 2017-03-24 | 2017-08-04 | 上海电力学院 | Intermediate density scene microcommunity real-time detection method |
-
2017
- 2017-09-20 CN CN201710854185.6A patent/CN107704667B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20040059548A1 (en) * | 2002-09-09 | 2004-03-25 | Marios Kagarlis | Method of simulating movement of an autonomous entity through an environment |
| CN101714185A (en) * | 2009-12-22 | 2010-05-26 | 中国建筑科学研究院建筑防火研究所 | Automatic simulation method for building disaster evacuation |
| US9159152B1 (en) * | 2011-07-18 | 2015-10-13 | Motion Reality, Inc. | Mapping between a capture volume and a virtual world in a motion capture simulation environment |
| CN104008562A (en) * | 2014-06-06 | 2014-08-27 | 东南大学 | User-oriented planned virtual crowd simulation framework |
| CN104732014A (en) * | 2015-02-26 | 2015-06-24 | 北京交通大学 | Hierarchical crowd simulation method and system used for complex scene |
| CN107016358A (en) * | 2017-03-24 | 2017-08-04 | 上海电力学院 | Intermediate density scene microcommunity real-time detection method |
Non-Patent Citations (2)
| Title |
|---|
| BOLEI ZHOU ET AL: "Measuring Crowd Collectiveness", 《 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE》 * |
| 胡清梅: "大型公共建筑环境中人群拥挤机理及群集行为特性的研究", 《中国优秀硕士学位论文全文数据库工程科技Ⅱ辑》 * |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110956684A (en) * | 2019-11-27 | 2020-04-03 | 山东师范大学 | Crowd movement evacuation simulation method and system based on residual error network |
| CN111165395A (en) * | 2020-01-08 | 2020-05-19 | 清华大学 | Experimental method for simulating crowd flow by using zebra fish |
| CN112016660A (en) * | 2020-07-03 | 2020-12-01 | 浙江大学 | Physical force and data combined driven three-dimensional cluster behavior simulation method |
| CN112016660B (en) * | 2020-07-03 | 2023-11-14 | 浙江大学 | Physical force and data combined driving three-dimensional cluster behavior simulation method |
| CN112001937B (en) * | 2020-09-07 | 2023-05-23 | 中国人民解放军国防科技大学 | Group chase and escape method and device based on visual field perception |
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