A traffic entropy-based public space emergency evacuation rationality evaluation method and system

Abstract

The application discloses a kind of public space emergency evacuation rationality evaluation method and system based on traffic entropy, it is related to public space emergency evacuation management technical field, including steps: obtaining local evacuation test area;Obtain the predicted current total number of pedestrians and predicted current pedestrian type composition;Determine the current evacuation pedestrian density, determine the current evacuation traffic entropy, determine the current evacuation difference type heteroscedasticity;Calculate the crowd evacuation mixed speed;Determine the current segment walking speed;According to target evacuation walking path and each current segment walking speed, obtain crowd evacuation movement duration;According to the relationship between crowd evacuation movement duration and emergency duration threshold, determine whether target public space meets emergency evacuation demand.The method of the application fully considers each influencing factor in mixed traffic flow to calculate the crowd evacuation movement duration, which solves the technical problem of determining the design rationality of public space traffic structure design considering multiple influence factors.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of public space emergency evacuation management, and particularly relates to a public space emergency evacuation rationality evaluation method and system based on traffic entropy. BACKGROUND

[0002] Public space safety evacuation refers to the process of indoor personnel evacuation to indoor safety area or outdoor safety area, in the existing design, the design rationality of public space traffic structure design is usually determined by public space safety evacuation time.

[0003] At present, the calculation of public space safety evacuation time of public space is based on pedestrian density, but in public space pedestrian evacuation, different age and gender types of people form mixed traffic flow, the more complex the composition of the crowd, the greater the mutual interference, the more chaotic the pedestrian state, and the more significant the influence on the average mixed traffic speed, therefore, there is internal energy loss in mixed traffic flow, which has the characteristics of entropy, and pure pedestrian density prediction cannot accurately describe the evacuation traffic state, which leads to difficulty in accurately calculating the public space safety evacuation time and determining the design rationality of public space traffic structure design from multiple aspects. In view of this, it is necessary to propose a public space emergency evacuation rationality evaluation method based on traffic entropy to solve or at least alleviate the above-mentioned part of the defects. SUMMARY

[0004] The main purpose of the present application is to provide a public space emergency evacuation rationality evaluation method based on traffic entropy, which aims to solve the technical problem that the existing technology only relies on pedestrian density for emergency evacuation prediction and is difficult to accurately predict the public space safety evacuation time.

[0005] To achieve the above-mentioned purpose, the present application provides a public space emergency evacuation rationality evaluation method based on traffic entropy, comprising the steps of: S10, acquiring a local evacuation test area of a target public space;

[0006] S20, acquiring the predicted current total number of pedestrians and the predicted current pedestrian type composition of the predicted current evacuation crowd in the local evacuation test area at a target time;

[0007] S30, determining the current evacuation pedestrian density according to the distribution of the predicted current total number of pedestrians in the local evacuation test area;

[0008] S40, determining the current evacuation traffic entropy according to the number of crowd categories of the predicted current pedestrian type composition;

[0009] S50, determining the current evacuation difference type difference coefficient according to the crowd category difference characteristics of the predicted current pedestrian type composition, the current evacuation difference type difference coefficient being the correlation coefficient of the current evacuation speed of the predicted current evacuation crowd and the evacuation speed of the target group when walking on the target walking path.

[0010] S60, calculating and obtaining a crowd evacuation mixed walking speed V1 of the current evacuation crowd walking on the target walking path according to the current evacuation pedestrian density, the current evacuation traffic entropy and the current evacuation difference type coefficient;

[0011] S70, obtaining a target evacuation walking path from the local evacuation test area to each target exit according to the traffic structure design of the target public space;

[0012] S80, obtaining each path component road segment of the target evacuation walking path, obtaining a speed correlation relationship between a current segment walking speed on the current path component road segment and the crowd evacuation mixed walking speed V1 when walking on the target walking path, and determining the current segment walking speed according to the speed correlation relationship and the crowd evacuation mixed walking speed V1;

[0013] S90, obtaining a crowd evacuation movement time length according to the target evacuation walking path and each current segment walking speed;

[0014] S100, if the crowd evacuation movement time length is not greater than the emergency time length threshold, determining that the target public space meets the emergency evacuation demand; if the crowd evacuation movement time length is greater than the emergency time length threshold, determining that the target public space does not meet the emergency evacuation demand.

[0015] Further, in step S20,

[0016] obtaining average historical passenger flow statistical data of the target public space in each historical time period;

[0017] determining a historical evacuation pedestrian density according to the average historical passenger flow statistical data and the surface area of the target evacuation walking path;

[0018] determining that the historical time period corresponding to the historical evacuation pedestrian density of 0.303 person / ㎡ to 4.000 person / ㎡ is the current target time.

[0019] Further, the prediction current pedestrian type composition of the prediction current evacuation crowd is determined by using an expert database or a clustering algorithm,

[0020] The prediction current pedestrian type composition includes at least two of a children and teenagers group, a teenage male group, a teenage female group, a young male group, a young female group, a middle-aged male group, a middle-aged female group, a middle-aged male group, a middle-aged female group, an elderly male group and an elderly female group.

[0021] Further, in step S30, the current evacuation pedestrian density is determined based on the ratio of the floor area corresponding to the local evacuation test area to the prediction current total number of pedestrians.

[0022] Furthermore, in step S40, the formula is used. Calculate the current evacuation traffic entropy when walking on the target walking path, where n is the predicted number of people in the current pedestrian type, n≥2, and p i It is the ratio of the number of pedestrians of pedestrian type i to the predicted total number of pedestrians.

[0023] Furthermore, in step S50, the formula is used. Calculate and obtain the coefficient of difference in the current evacuation difference type, where, V i V represents the individual velocity of the individual corresponding to pedestrian type i. 目标群体 r is the individual velocity of the individual corresponding to the target group. i p represents the individual difference coefficient between individuals corresponding to pedestrian type i and individuals corresponding to the target group. i It is the ratio of the number of pedestrians of pedestrian type i to the predicted total number of pedestrians.

[0024] Furthermore, the Kan model is adopted, using the current evacuation pedestrian density, current evacuation traffic entropy, and current evacuation difference coefficient from the model training data as input parameters, and the pedestrian evacuation speed from the model training data as output parameters, to perform approximation fitting to obtain a speed-crowd fitting model.

[0025] V1 = K × tan[0.36atan(X1) + 0.02exp(X2) - 5.28exp(X3) - 4.95] + G, where V1 represents the predicted evacuation speed of the current evacuation crowd on the target walking path in the model training data, where K is the model coefficient, G is the normal parameter, and X1, X2, and X3 are the first, second, and third sub-parameters respectively associated with the current evacuation pedestrian density, current evacuation traffic entropy, and current evacuation difference coefficient in the model training data.

[0026] Furthermore, if the predicted pedestrian type composition is a single age or a single gender, K = 73.55; otherwise, K = 78.02; G = 45.61.

[0027] Using formula

[0028] X1=0.07Abs(9.99H-8.81)-0.07Abs(8.21R-6.0)+1.84exp[-1.45×(1-0.24×M) 2 -1.31;

[0029] X2=54.39{-atan(0.6H-1.27)-0.47exp[-99.54×(0.88-R)2 ]+0.08exp[-0.19×(0.66-M) 2 ]-054} 2 ;

[0030] X3=-0.13×{-0.91sin(0.36M-0.9)-0.02Abs(9.41H-8.8)-0.14exp[-77.43(0.73-R) 2 ]+1} 2 ;

[0031] The first sub-item parameter X1, the second sub-item parameter X2 and the third sub-item parameter X3 are calculated and determined, wherein M represents the current evacuation pedestrian density, H represents the current evacuation traffic entropy, and R represents the current evacuation difference type coefficient.

[0032] Further, each path segment of the target evacuation walking path is acquired, the path segment is a straight path segment, a corner path segment, an uplink path segment, a downlink path segment or a cross merging path segment, and the target walking path is determined as the straight path segment.

[0033] The correlation relationship between the crowd evacuation turning mixed walking speed on the corner path segment and the crowd evacuation mixed walking speed V1 is acquired, the correlation relationship between the crowd evacuation uplink mixed walking speed on the uplink path segment and the crowd evacuation mixed walking speed V1 is acquired, the correlation relationship between the crowd evacuation downlink mixed walking speed on the downlink path segment and the crowd evacuation mixed walking speed V1 is acquired, and the correlation relationship between the crowd evacuation merging mixed walking speed on the cross merging path segment and the crowd evacuation mixed walking speed V1 is acquired.

[0034] The formula is used to acquire the crowd evacuation movement duration. L j is the passing length of the path segment j, V j is the passing speed of the path segment j, and V j has a linear correlation relationship with the crowd evacuation mixed walking speed V1.

[0035] Further, the target evacuation walking path meeting the emergency evacuation demand at the current time is determined, and a walking passage indication is generated on the target evacuation walking path meeting the emergency evacuation demand.

[0036] The application further provides a public space emergency evacuation rationality evaluation system, comprising a processing device, which is used to realize the steps of the public space emergency evacuation rationality evaluation method based on traffic entropy.

[0037] Compared with the prior art, the public space emergency evacuation rationality evaluation method based on traffic entropy has the following beneficial effects:

[0038] This invention provides a method for evaluating the rationality of emergency evacuation in public spaces based on traffic entropy. First, a partial evacuation test area of ​​the target public space is obtained. Then, based on the predicted total number of pedestrians and the predicted pedestrian type composition of the current evacuation population in the partial evacuation test area, the current pedestrian density, current evacuation traffic entropy, and current evacuation difference type coefficient are determined. Next, the predicted evacuation speed V1 of the current evacuation population walking on the target walking path is calculated based on the current pedestrian density, current evacuation traffic entropy, and current evacuation difference type coefficient. After determining the target evacuation walking path from the partial evacuation test area to the target exit based on the target exit of the target public space, the constituent road segments of the target evacuation walking path and the current segment walking speed on each constituent road segment are determined. The invention establishes a speed correlation between the mixed pedestrian evacuation speed V1 and the target evacuation walking path; it obtains the evacuation movement duration based on the target evacuation walking path and the walking speed of each current segment; finally, based on the relationship between the evacuation movement duration and the emergency duration threshold, it determines whether the target public space meets the emergency evacuation requirements. If the evacuation movement duration is not greater than the emergency duration threshold, the target public space meets the emergency evacuation requirements; if the evacuation movement duration is greater than the emergency duration threshold, the target public space does not meet the emergency evacuation requirements. In this invention, the evacuation movement duration is calculated by fully considering various influencing factors in the mixed traffic flow, solving the technical problem that existing methods of simply using pedestrian density prediction cannot accurately describe the evacuation traffic state, leading to difficulties in accurately calculating the evacuation movement duration and in determining the design rationality of the public space traffic structure design from multiple influencing factors. Attached Figure Description

[0039] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on the structures shown in these drawings without creative effort.

[0040] Figure 1 This is a flowchart illustrating the public space emergency evacuation rationality evaluation method based on traffic entropy in one embodiment of the present invention.

[0041] Figure 2 This is a schematic diagram of the current pedestrian density in the present invention, wherein a is a schematic diagram of a low density, b is a schematic diagram of a moderate density, and c is a schematic diagram of a high density.

[0042] Figure 3is a schematic diagram of path composition of the target evacuation walking path in a specific embodiment of the present application, wherein a is a schematic diagram of a straight path segment, b is a schematic diagram of a corner path segment, c is a schematic diagram of an uplink path segment, d is a schematic diagram of a downlink path segment, and e is a schematic diagram of a cross-merging path segment;

[0043] Figure 4 is a structural schematic diagram of the cross-merging path segment in Figure 3

[0044] Figure 5 is a schematic diagram of an evacuation scene of a public space in a specific embodiment of the present application.

[0045] The purposes, functional features and advantages of the present application will be further described with reference to the embodiments and the accompanying drawings. DETAILED DESCRIPTION

[0046] It should be understood that the specific embodiments described herein merely serve to explain the present application and do not limit the present application.

[0047] The technical solutions in the embodiments of the present application will be clearly and completely described with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only some of the embodiments of the present application, but not all the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative efforts fall within the scope of protection of the present application.

[0048] It should be noted that all directional indications (such as up, down, left, right, front, back, etc.) in the embodiments of the present application are only used to explain the relative positional relationship, movement condition, etc. between components in a certain specific posture (as shown in the drawings), and if the specific posture changes, the directional indications also change accordingly.

[0049] In addition, the description of "first", "second", etc. in the present application is only for the purpose of description, and cannot be understood as indicating or implying the relative importance of the indicated technical features or implicitly indicating the number of the indicated technical features. Therefore, the features limited by "first", "second" can explicitly or implicitly include at least one of the features. In addition, the technical solutions of each embodiment can be combined with each other, but it must be based on the realization of those skilled in the art, and when the combination of technical solutions appears contradictory or unachievable, it should be considered that the combination of technical solutions does not exist, and is not within the scope of protection claimed by the present application.

[0050] Please refer to the accompanying drawings Figure 1 ,​Figure 2 、 Figure 3 、 Figure 4 and Figure 5 The application provides a public space emergency evacuation rationality evaluation method based on traffic entropy, comprising the following steps: S10, obtaining a local evacuation test area of a target public space;

[0051] S20, obtaining a predicted current pedestrian total number and a predicted current pedestrian type composition of the predicted current evacuation crowd in the local evacuation test area at a target time;

[0052] S30, determining a current evacuation pedestrian density (evacuation pedestrian crowding degree) according to the distribution of the predicted current pedestrian total number in the local evacuation test area;

[0053] S40, determining a current evacuation traffic entropy according to the crowd category number of the predicted current pedestrian type composition;

[0054] S50, determining a current evacuation difference type difference coefficient according to the crowd category difference characteristics of the predicted current pedestrian type composition, the current evacuation difference type difference coefficient being a correlation coefficient of the current evacuation speed of the predicted current evacuation crowd and the evacuation speed of the target group when walking on a target walking path;

[0055] S60, calculating and obtaining a crowd evacuation mixed walking speed V1 of the predicted current evacuation crowd when walking on the target walking path according to the current evacuation pedestrian density, the current evacuation traffic entropy and the current evacuation difference type difference coefficient;

[0056] S70, obtaining a target evacuation walking path from the local evacuation test area to each target exit according to the traffic structure design of the target public space;

[0057] S80, obtaining each path component road section of the target evacuation walking path, obtaining a speed correlation relationship between a current section walking speed on the current path component road section and the crowd evacuation mixed walking speed V1 when walking on the target walking path, and determining the current section walking speed according to the speed correlation relationship and the crowd evacuation mixed walking speed V1;

[0058] S90, obtaining a crowd evacuation movement time length according to the target evacuation walking path and each current section walking speed;

[0059] S100, if the crowd evacuation movement time length is not greater than an emergency time length threshold, determining that the target public space meets the emergency evacuation demand; if the crowd evacuation movement time length is greater than the emergency time length threshold, determining that the target public space does not meet the emergency evacuation demand.

[0060] The present invention provides a method for evaluating the rationality of emergency evacuation in public spaces based on traffic entropy. First, a partial evacuation test area of ​​the target public space is obtained. Then, based on the predicted total number of pedestrians and the predicted pedestrian type composition of the current evacuation population in the partial evacuation test area, the current pedestrian density, current evacuation traffic entropy, and current evacuation difference type anomaly coefficient are determined. Next, the predicted evacuation speed V1 of the current evacuation population walking on the target walking path is calculated based on the current pedestrian density, current evacuation traffic entropy, and current evacuation difference type anomaly coefficient. After determining the target evacuation walking path from the partial evacuation test area to the target exit based on the target exit of the target public space, the road segments that make up each component of the target evacuation walking path and the road segments within each path are determined. The invention establishes a correlation between the current segment walking speed and the mixed pedestrian evacuation speed V1 when walking on the target evacuation path. Finally, it obtains the evacuation duration based on the target evacuation path and the current segment walking speeds. If the evacuation duration is not greater than the emergency duration threshold, the target public space is deemed to meet emergency evacuation requirements. If the evacuation duration exceeds the emergency duration threshold, the target public space is deemed not to meet emergency evacuation requirements. This invention fully considers various influencing factors in the mixed traffic flow when calculating the evacuation duration, solving the technical problem that existing methods using pedestrian density prediction cannot accurately describe the evacuation traffic state, leading to difficulties in accurately calculating the evacuation duration and determining the design rationality of public space traffic structure design from multiple influencing factors.

[0061] Understandably, the target public space can be public transportation spaces such as station spaces, subway stations, and airport terminals, or public places with emergency shelter attributes such as school spaces and shopping mall spaces.

[0062] Understandably, in this invention, the target public space can be divided into multiple local evacuation test areas, each with a corresponding predicted current evacuation population. In a preferred embodiment, the local evacuation test area is a certain area within the public space that is furthest from the target exit or has the longest travel time.

[0063] Understandably, the target evacuation walking path can be a single path segment or a combination of multiple path segments. In this invention, the speed correlation between the current segment walking speed on each path segment and the mixed pedestrian speed V1 when walking on the target walking path can be obtained by processing historical data, or by model analysis, experimental analysis, or expert database.

[0064] Further, in the scheme of the present application, in order to quickly process and evaluate whether the target public space meets the emergency evacuation demand, in step S20, average historical passenger flow statistical data of the target public space in each historical time period is obtained; historical evacuation pedestrian density is determined according to the average historical passenger flow statistical data and the surface area of the target evacuation walking path; and the historical time period corresponding to the historical evacuation pedestrian density between 0.303 person / ㎡ and 4.000 person / ㎡ is determined as the current target time.

[0065] Further, the prediction current pedestrian type composition of the prediction current evacuation crowd is determined by using an expert database or a clustering algorithm, wherein the prediction current pedestrian type composition includes at least two of a children and teenagers group, a teenage male group, a teenage female group, a young male group, a young female group, a middle-aged male group, a middle-aged female group, a middle-aged and elderly male group, a middle-aged and elderly female group, an elderly male group, and an elderly female group.

[0066] Optionally, in a specific embodiment of the present application, the pedestrians are divided into eleven categories according to physiological age and gender by referring to the age type division in the relevant guidelines of the World Health Organization and the national physical fitness monitoring bulletins published by the National Physical Fitness Monitoring Center, wherein the gender speed difference of teenagers is small and they are classified into one category; and the pedestrian classification and related walking parameter statistics are obtained by data analysis, as shown in Table 1:

[0067] Table 1 Pedestrian type and walking parameter table

[0068]

[0069] Further, in step S30, the current evacuation pedestrian density is determined based on the ratio of the floor area corresponding to the local evacuation test area to the prediction current total number of pedestrians.

[0070] Please refer to Figure 2 The reciprocal of the floor area per capita of pedestrians in a public space is the pedestrian density. According to historical scene data analysis or experimental data analysis, if the current evacuation pedestrian density is less than 0.303 person / ㎡, the traffic is not affected and the pedestrians can quickly walk without interference; if the current evacuation pedestrian density is about 0.455 person / ㎡, the people evacuate without being affected according to their individual normal speed; if the current evacuation pedestrian density is greater than 4.000 person / ㎡, the pedestrians are in a congested state and evacuation movement is difficult. The method of the present application is suitable for space evacuation prediction when the current evacuation pedestrian density is between 0.303 person / ㎡ and 4.000 person / ㎡.

[0071] Further, in step S40, the formula The current evacuation traffic entropy is calculated when walking on the target walking path, wherein n is the number of crowd categories corresponding to the predicted current pedestrian type composition, n≥2, p i is the ratio of the number of single pedestrians corresponding to the pedestrian type i to the predicted current total number of pedestrians.

[0072] It can be understood that in the pedestrian evacuation of public space, people of different ages and gender types form mixed traffic flow. The more complex the composition of the crowd, the greater the mutual interference, the more chaotic the pedestrian state, and the more significant the impact on the average mixed traffic speed. Therefore, there is internal energy loss in the mixed traffic flow, which has the characteristics of entropy. For the traffic flow, the predicted current evacuation crowd is classified into n types of crowd. At this time, the speed of the same type of crowd is considered to be the same, and the mixed traffic volume is determined by the formula , wherein Q represents the predicted current total number of pedestrians, q i represents the equivalent value converted from the number of single pedestrians of pedestrian type i, i=1, 2, 3, …, n. The crowd of Q in number is arranged randomly in the local evacuation test area, which can be arranged in Q! ways, but the speed of the same type of crowd is the same, and the same type of crowd is not considered to be arranged, and the number of arrangement ways is predicted by multiple combinations: ω is the number of arrangement combinations, and after calculation, we can get If p i =q i / Q, that is, the proportion of the number of single pedestrians corresponding to a type of crowd in the mixed traffic volume, at this time,

[0073] Therefore,

[0074] The probability distribution of p i is obtained, that is, the entropy of the random event, that is, the current evacuation traffic entropy of the mixed traffic. Therefore, the current evacuation traffic entropy is calculated by the formula , wherein n is the number of pedestrian types corresponding to the predicted current pedestrian type composition, p i is the ratio of the number of single pedestrians corresponding to the pedestrian type i to the predicted current total number of pedestrians.

[0075] Further, in step S50, the current evacuation difference type coefficient is calculated by the formula , wherein V i is the individual speed of the individual corresponding to the pedestrian type i, V 目标群体 is the individual speed of the individual corresponding to the target group, r i is the individual difference coefficient of the individual corresponding to the pedestrian type i and the individual corresponding to the target group, p iThe ratio of the single-class pedestrian quantity corresponding to the pedestrian type i to the predicted total number of current pedestrians. In the present application, in order to facilitate comparison, the target group adopts a young male group, and the target walking path is a straight path segment. The current evacuation traffic entropy and the current evacuation difference type heterogeneity coefficient in the present application are both obtained based on the target group walking on the target walking path.

[0076] It can be understood that the more complex the composition of the crowd is, the greater the mutual interference is, and the more chaotic the pedestrian state is. At this time, the current evacuation traffic entropy is greater. If the predicted current evacuation crowd in the first case is composed of a young male group and a young female group, and the predicted current evacuation crowd in the second case is composed of an old male group and an old female group, the traffic entropy in the first case and the second case is relatively small. At this time, due to the difference in crowd categories in speed, further distinction is made through the current evacuation difference type heterogeneity coefficient.

[0077] It can be understood that when there is only a single-class crowd in the local evacuation test area, the current evacuation traffic entropy tends to zero. Under the same pedestrian density (current evacuation pedestrian density) condition, the speed of the crowd composed of different types is different. Therefore, the difference coefficient of different types of crowds is introduced, and the fast walking speed ratio of individual behavior not affected by interference is taken as the individual difference coefficient r i , wherein the group type difference coefficient R is the sum of the proportions of each individual difference coefficient r i .

[0078] Further, based on data analysis, simulation analysis, or based on the Kolmogorov-Arnold representation theory, the Kan model is used for analysis to obtain the predicted evacuation speed of the predicted current evacuation crowd on the target walking path.

[0079] Specifically, based on the Kolmogorov-Arnold representation theory, the Kan model is used to approximate and fit the relationship between the input (current evacuation pedestrian density M, current evacuation traffic entropy H, and current evacuation difference type heterogeneity coefficient R) and the output (crowd evacuation mixed speed), thereby obtaining the mathematical expression thereof.

[0080] More preferably, the Kan model is used, the current evacuation pedestrian density, the current evacuation traffic entropy, and the current evacuation difference type heterogeneity coefficient in the model training data are taken as input parameters, and the crowd evacuation mixed speed in the model training data is taken as output parameters, to perform approximation fitting to obtain the speed crowd fitting model

[0081] V1=K x tan[0.36atan(X1)+0.02exp(X2)-5.28exp(X3)-4.95]+G, wherein V1 represents a predicted evacuation speed of the current evacuation pedestrians on the target walking path in the model training data, K is a model coefficient, G is a constant parameter, X1, X2 and X3 are respectively a first sub-item parameter, a second sub-item parameter and a third sub-item parameter associated with the current evacuation pedestrian density, the training current evacuation traffic entropy and the training current evacuation difference type coefficient in the model training data.

[0082] Further, if the predicted current pedestrian type is composed of a single age or a single gender, K=73.55, otherwise K=78.02; G=45.61,

[0083] The formula is

[0084] X1=0.07Abs(9.99H-8.81)-0.07Abs(8.21R-6.0)+1.84exp[-1.45x(1-0.24xM) 2 ]-1.31;

[0085] X2=-5439{-atan(0.6H-1.27)-0.47exp[-99.54x(0.88-R) 2 ]+0.08exp[-0.19x(0.66-M) 2 ]-0.54} 2 ;

[0086] X3=-0.13x{-0.91sin(0.36M-0.9)-0.02Abs(9.41H-8.8)-0.14exp[-77.43(0.73-R) 2 ]+1} 2 ;

[0087] The first sub-item parameter, the second sub-item parameter and the third sub-item parameter are calculated and determined.

[0088] Further, each path component link of the target evacuation walking path is obtained, the path component link is a straight path link, a corner path link, an uplink path link, a downlink path link or a cross merging path link, the target walking path is a straight path link, a relationship between a crowd evacuation corner mixing speed and a crowd evacuation mixing speed on the corner path link is obtained, a relationship between a crowd evacuation uplink mixing speed and the crowd evacuation mixing speed on the uplink path link is obtained, a relationship between a crowd evacuation downlink mixing speed and the crowd evacuation mixing speed on the downlink path link is obtained, and a relationship between a crowd evacuation merging mixing speed and the crowd evacuation mixing speed on the cross merging path link is obtained, and the formula The length of time for crowd evacuation movement is calculated, wherein L j is the length of the path segment j, V j is the speed of the path segment j, V j has a linear correlation with the crowd evacuation mixed traffic speed V1.

[0089] Further, the cross-converging path segment (flat crowd flow converging exit) is an L-shaped space two-crowd flow converging exit, a T-shaped space two-crowd flow converging exit, or a T-shaped space three-crowd flow converging exit.

[0090] Optionally, the uplink path segment can be an uplink stair path segment or an uplink ramp path segment; the downlink path segment can be a downlink stair path segment or a downlink ramp path segment; and the corner path segment can be a right-angle corner path segment or an oblique-angle corner path segment.

[0091] Understandably, in the present application, the target walking path is a flat walking path, the corner path segment is composed of a first preset length of upstream path segment and a second preset length of downstream path segment; the L-shaped space two-crowd flow converging exit is composed of a third preset length of upstream path segment, a fourth preset length of upstream path segment, and a fifth preset length of downstream path segment; the T-shaped space two-crowd flow converging exit is composed of a sixth preset length of upstream path segment, a seventh preset length of upstream path segment, and an eighth preset length of downstream path segment; and the T-shaped space three-crowd flow converging exit is composed of a ninth preset length of upstream path segment, a tenth preset length of upstream path segment, an eleventh preset length of upstream path segment, and a second preset length of downstream path segment. The linear relationship between the crowd evacuation mixed traffic speed V1 on the flat walking path and the crowd evacuation stair uplink mixed traffic speed V2 of the uplink stair path segment is obtained by the expert library evaluation method, the historical data analysis method, or the normalization processing method, V2=0.402V1; the linear relationship between the crowd evacuation mixed traffic speed V1 on the flat walking path and the crowd evacuation stair downlink mixed traffic speed V3 of the downlink stair path segment is obtained by the expert library evaluation method, the historical data analysis method, or the normalization processing method, V3=0.536V1; the linear relationship between the crowd evacuation mixed traffic speed V1 on the flat walking path and the crowd evacuation uplink mixed traffic speed V4 of the uplink ramp path segment is obtained by the expert library evaluation method, the historical data analysis method, or the normalization processing method, V4=0.885V1; the linear relationship between the crowd evacuation mixed traffic speed V1 on the flat walking path and the crowd evacuation ramp downlink mixed traffic speed V5 of the downlink ramp path segment is obtained by the expert library evaluation method, the historical data analysis method, or the normalization processing method, V5=V1; and the linear relationship between the crowd evacuation mixed traffic speed V1 on the flat walking path and the corner speed V 6-150 of the 150-degree turn is obtained by the expert library evaluation method, the historical data analysis method, or the normalization processing method, V 6-150=0.975V1; The pedestrian evacuation speed V1 and the angular velocity V of a 120-degree turn on a straight walking path are obtained through expert database evaluation, historical data analysis, or normalization methods. 6-120 The linear relationship, V 6-120 =0.909V1; The pedestrian evacuation speed V1 and the angular velocity V of a 90-degree turn on a straight walking path are obtained through expert database evaluation, historical data analysis, or normalization methods. 6-90 The linear relationship, V 6-90 =0.984V1; The pedestrian evacuation speed V1 on the straight walking path and the pedestrian evacuation speed V at the intersection of the two pedestrian flows in the L-shaped space are obtained through expert database evaluation, historical data analysis, or normalization methods. 7-L The linear relationship, V 7-L =0.984V1; The pedestrian evacuation speed V1 on the straight walking path and the pedestrian evacuation speed V at the intersection of the two pedestrian flows in the T-shaped space are obtained through expert database evaluation, historical data analysis, or normalization methods. 7-T2 The linear relationship, V 7-T2 =0.984V1; The pedestrian evacuation speed V1 on the straight walking path and the pedestrian evacuation speed V at the intersection of the two pedestrian flows in the T-shaped space are obtained through expert database evaluation, historical data analysis, or normalization methods. 7-T3 The linear relationship, V 7-T3 =0.909V1.

[0092] In one specific embodiment of the present invention, the path composition of the target evacuation walking path is obtained, and the target evacuation walking path includes at least two of the following: straight path segment, corner path segment, uphill path segment, downhill path segment, and intersecting and merging path segment.

[0093] Understandably, the target group in this invention is middle-aged men. This invention can also obtain the current evacuation traffic entropy and the coefficient of difference between the evacuation speed of middle-aged men on a straight walking path and the predicted evacuation speed of the current evacuation population by normalization and comparison. In this invention, the evacuation speed of middle-aged men on a straight walking path can be determined using Table 1, or by experimental methods, expert database evaluation methods, or historical data analysis methods.

[0094] It can be understood that in a specific embodiment of the present application, the target evacuation walking path from the local evacuation test area to the target exit is obtained according to the traffic structure design of the target public space, and the target evacuation walking path includes a straight path segment L1, a corner path segment L2, a straight path segment L3, an uphill ramp path segment L4, a downhill ramp path segment L6, a straight path segment L5 between the uphill ramp path segment L4 and the downhill ramp path segment L6, an uphill stair path segment L7, a downhill stair path segment L9, a straight path segment L8 between the uphill stair path segment L7 and the downhill stair path segment L9, a straight path segment L10, and a cross merging segment L11, wherein L1, L2 and L3 are connected in series; the cooperative segment composed of L4, L5 and L6 is connected in parallel with the cooperative segment composed of L7, L8 and L9; and L10 and L11 are connected in series.

[0095] Different path sites in a target public space are combined in series and in parallel, such as that a straight passage is generally connected in series with a stairway, and a stairway can be connected in parallel with a ramp. When different paths are connected in parallel, the crowd on the path is limited by the crowd in front of the path, and the crowds on different paths tend to move at the same time when they reach the end of their respective paths during the evacuation process. Therefore, the average speed of the parallel segment is used to predict the mixed walking speed of this path site. In the present application, the mixed walking speed is the sum of the evacuation speeds of the cooperative segments composed of L7, L8 and L9 divided by 2.

[0096] Further, the predicted current pedestrian type composition is determined based on the attributes of the target public space. If the current evacuation pedestrian density is between 0.303 people / ㎡ and 4.000 people / ㎡ and is greater than the emergency duration threshold, it is determined that the target public space does not meet the emergency evacuation requirement. It can be understood that if the target public space is a school, the predicted current pedestrian type composition can be artificially set as a group of adolescent males, a group of adolescent females, a group of young males, a group of young females, a group of middle-aged males, a group of middle-aged females, if the target public space is a train station, the predicted current pedestrian type composition can be artificially set as a group of children and adolescents, a group of adolescent males, a group of adolescent females, a group of young males, a group of young females, a group of middle-aged males, a group of middle-aged females, a group of middle-aged males, a group of middle-aged females, a group of elderly males, and a group of elderly females.

[0097] Further, the target evacuation walking path that meets the emergency evacuation requirement (the walking path with a crowd evacuation movement duration not greater than the emergency duration threshold) at the current time is determined, and a walking passage indication is generated on the target evacuation walking path that meets the emergency evacuation requirement.

[0098] It can be understood that the walking passage indication can be an arrow lamp indication or a projection indication, as long as it can provide a prompt on the target evacuation walking path that meets the emergency evacuation requirement.

[0099] The application further provides a public space emergency evacuation rationality evaluation system, comprising a processing device configured to implement the steps of the public space emergency evacuation rationality evaluation method based on traffic entropy.

[0100] The above embodiments only express several implementation manners of the application, and the description is relatively specific and detailed, but it should not be understood as a limitation on the patent scope of the application. It should be pointed out that, for ordinary skilled persons in the art, without departing from the concept of the application, several modifications and improvements can be made, which all belong to the protection scope of the application. Therefore, the protection scope of the application should be subject to the appended claims.

Claims

1. A traffic entropy-based public space emergency evacuation rationality evaluation method, characterized in that, The method comprises the following steps: S10, obtaining a local evacuation test area of a target public space; S20, obtaining a predicted current total number of pedestrians and a predicted current pedestrian type composition of the predicted current evacuation crowd in the local evacuation test area at a target time; S30, determining a current evacuation pedestrian density according to a distribution of the predicted current total number of pedestrians in the local evacuation test area; S40, determining a current evacuation traffic entropy according to a crowd category number of the predicted current pedestrian type composition; Using formula Calculate and obtain the current evacuation traffic entropy when walking on the target walking path, where, To predict the number of people in the current pedestrian type composition, ≥2, pedestrian type The ratio of the number of pedestrians of a single type to the predicted total number of pedestrians; S50, determining a current evacuation type difference coefficient according to a crowd category difference characteristic of the predicted current pedestrian type composition, the current evacuation type difference coefficient being a correlation coefficient of a current evacuation speed of the predicted current evacuation crowd and an evacuation speed of a target group when walking on a target walking path; S60, calculating and acquiring a crowd evacuation mixed speed of the predicted current crowd of evacuees walking on the target walking path according to the current evacuation pedestrian density, the current evacuation traffic entropy and the current evacuation type difference coefficient ; S70, obtaining target evacuation walking paths from the local evacuation test area to each target exit according to a traffic structure design of the target public space; S80, obtain each path composition road segment of the target evacuation walking path, obtain the current segment walking speed on the current path composition road segment and the crowd evacuation mixed speed when walking on the target walking path The speed correlation relationship, determine the current segment walking speed according to the speed correlation relationship and the crowd evacuation mixed speed ; S90, obtaining a crowd evacuation movement time length according to the target evacuation walking paths and each current segment walking speed; S100, if the crowd evacuation movement time length is not greater than an emergency time length threshold, determining that the target public space meets an emergency evacuation requirement; if the crowd evacuation movement time length is greater than the emergency time length threshold, determining that the target public space does not meet the emergency evacuation requirement.

2. The public space emergency evacuation rationality evaluation method based on traffic entropy according to claim 1, wherein in step S20, average historical pedestrian flow statistical data of the target public space in each historical time period is obtained; a historical evacuation pedestrian density is determined according to the average historical pedestrian flow statistical data and a surface area of the target evacuation walking paths; a historical time period corresponding to the historical evacuation pedestrian density of 0.303 person / m2 to 4.000 person / m2 is determined as the target time.

3. The public space emergency evacuation rationality evaluation method based on traffic entropy according to claim 1, wherein the predicted current pedestrian type composition of the predicted current evacuation crowd is determined by using an expert database or a clustering algorithm, wherein the predicted current pedestrian type composition comprises at least two of a children and teenagers group, a teenage male group, a teenage female group, a young male group, a young female group, a middle-aged male group, a middle-aged female group, a middle-aged and elderly male group, a middle-aged and elderly female group, an elderly male group, and an elderly female group.

4. The public space emergency evacuation rationality evaluation method based on traffic entropy according to claim 1, wherein in step S30, the current evacuation pedestrian density is determined based on a ratio of a floor area corresponding to the local evacuation test area to the predicted current total number of pedestrians.

5. The public space emergency evacuation rationality evaluation method based on traffic entropy according to claim 1, wherein 6. The public space emergency evacuation rationality evaluation method based on traffic entropy according to claim 1, wherein ​ ​ In step S50, the formula is used to calculate the current evacuation type difference coefficient, where, , is the individual speed of the individual corresponding to the pedestrian type , is the individual speed of the individual corresponding to the target group, is the individual difference coefficient of the individual corresponding to the pedestrian type and the individual corresponding to the target group, is the ratio of the number of single-class pedestrians corresponding to the pedestrian type to the predicted total number of pedestrians. ​ The Kan model is adopted, current evacuation pedestrian density, current evacuation traffic entropy and current evacuation type difference coefficient in the model training data are taken as input parameters, and crowd evacuation mixed speed in the model training data is taken as output parameter, approximation fitting is carried out to obtain the speed crowd fitting model wherein represents a predicted crowd evacuation mixed speed of the current evacuating crowd on the target walking path in the model training data, wherein K is a model coefficient, and G is a normality parameter, , and are respectively a first sub-item parameter, a second sub-item parameter and a third sub-item parameter associated with the current evacuating pedestrian density, the current evacuating traffic entropy and the current evacuating type difference coefficient in the model training data.

7. The traffic entropy-based public space emergency evacuation rationality evaluation method according to claim 6, characterized in that, if the predicted current pedestrian type composition is a single age or a single gender composition , otherwise ; , The formula is adopted computing a first sub-parameter , a second sub-parameter , and a third sub-parameter , wherein M represents a current evacuation pedestrian density, H represents a current evacuation traffic entropy, and R represents a current evacuation type difference coefficient.

8. The traffic entropy-based public space emergency evacuation rationality evaluation method according to claim 1, characterized in that, Each path component link segment of the target evacuation walking path is acquired, the path component link segment is a straight path segment, a corner path segment, an uplink path segment, a downlink path segment or a cross merging path segment, and the target walking path is determined as the straight path segment, obtain a correlation relationship between a crowd evacuation turning mixed movement speed on the turning path segment and the crowd evacuation mixed movement speed obtain a correlation relationship between a crowd evacuation uplink mixed movement speed on the uplink path segment and the crowd evacuation mixed movement speed obtain a correlation relationship between a crowd evacuation downlink mixed movement speed on the downlink path segment and the crowd evacuation mixed movement speed obtain a correlation relationship between a crowd evacuation merging mixed movement speed on the intersection merging path segment and the crowd evacuation mixed movement speed obtain a correlation relationship between a crowd evacuation merging mixed movement speed on the intersection merging path segment and the crowd evacuation mixed movement speed The length of the crowd evacuation movement is calculated by the formula , wherein, is the length of the path segment, , is the passing speed of the path segment, , and the crowd evacuation mixed passing speed have a linear correlation.

9. A public space emergency evacuation rationality evaluation system, characterized in that, The processing device is used to realize the steps of the traffic entropy-based public space emergency evacuation rationality evaluation method according to any one of claims 1 to 8.

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