CN115966079A - Traffic road safety operation monitoring management platform based on data analysis - Google Patents

Traffic road safety operation monitoring management platform based on data analysis Download PDF

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CN115966079A
CN115966079A CN202211508161.2A CN202211508161A CN115966079A CN 115966079 A CN115966079 A CN 115966079A CN 202211508161 A CN202211508161 A CN 202211508161A CN 115966079 A CN115966079 A CN 115966079A
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accident
traffic
motor vehicle
crossroad
traffic police
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CN115966079B (en
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孙珩
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Anhui Guanggu Intelligent Technology Co ltd
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Wuhan Henglianyun Information Technology Co ltd
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Abstract

The invention relates to the technical field of road safety operation monitoring, and particularly discloses a traffic road safety operation monitoring management platform based on data analysis, which comprises an intersection basic information acquisition module, an intersection accident screening module, an intersection accident serious condition analysis module, an intersection accident state analysis module, an intersection accident processing mode selection module, an intersection traffic police dispatching module and a traffic management database.

Description

Traffic road safety operation monitoring management platform based on data analysis
Technical Field
The invention belongs to the technical field of road safety operation monitoring, and relates to a traffic road safety operation monitoring management platform based on data analysis.
Background
With the continuous development of urban economy and traffic, the occurrence frequency of traffic accidents is increased, and the traffic accidents comprise motor vehicle accidents and non-motor vehicle accidents, wherein the traffic accidents caused by the fact that a non-motor vehicle runs a red light when passing through a crossroad in the non-motor vehicle traffic accidents can be avoided through traffic police supervision or intersection prompting, so that the non-motor vehicle traffic accidents caused by the fact that the non-motor vehicle runs the red light in the crossroad need to be analyzed in order to reduce the occurrence of the non-motor vehicle traffic accidents in the crossroad.
At present, the phenomenon that the non-motor vehicles run the red light at the crossroad is captured, and the traffic accidents of the non-motor vehicles caused by running the red light at the crossroad are not analyzed, so that the following problems exist in the analysis mode obviously: 1. the serious grade of the traffic accident of the non-motor vehicles in the crossroad reflects the dangerous condition of the traffic accident of the non-motor vehicles, the dangerous condition that the traffic accident of the non-motor vehicles corresponds to the red light running in the crossroad cannot be effectively shown only by monitoring the red light running condition of the non-motor vehicles in the crossroad at present, and further the traffic safety and traffic fluency of the crossroad cannot be effectively ensured.
2. The traffic police dispatch influences the stable condition of the traffic at the crossroad, and the current technology does not analyze the traffic police dispatch information of the crossroad according to the accident state of the non-motor vehicles in the crossroad, so that the consciousness that the non-motor vehicles obey the traffic rules and the driving normative of the non-motor vehicles cannot be effectively increased, meanwhile, the smoothness of the traffic at the crossroad cannot be improved, the working content and the working amount of the traffic police cannot be reasonably distributed to a certain extent, and further the working efficiency and the working effect of the traffic police cannot be improved.
Disclosure of Invention
The invention aims to provide a traffic road safe operation monitoring and management platform based on data analysis, which solves the problems in the background technology.
The purpose of the invention can be realized by the following technical scheme: a traffic road safety operation monitoring management platform based on data analysis comprises: and the intersection basic information acquisition module is used for acquiring basic information corresponding to each intersection in a specified area in a specified period, wherein the basic information comprises positions and accident videos, and then the intersections are sequentially numbered as 1,2.
And the intersection accident screening module is used for screening all non-motor vehicle accidents corresponding to red light running at each crossroad in the specified area in the specified period according to all accident videos corresponding to each crossroad in the specified area in the specified period, and acquiring accident information corresponding to all non-motor vehicle accidents corresponding to red light running at each crossroad in the specified area in the specified period.
And the intersection accident severity analysis module is used for analyzing accident severity coincidence coefficients of all non-motor vehicle accidents corresponding to red light running at each intersection in a specified area in a specified period.
And the intersection accident state analysis module is used for analyzing and obtaining the non-motor vehicle accident state danger coincidence coefficient corresponding to the red light running at each crossroad in the specified area in the specified period based on the accident serious coincidence coefficient corresponding to each non-motor vehicle accident when the red light running at each crossroad in the specified area in the specified period.
And the intersection accident handling mode selection module is used for judging an accident handling mode corresponding to the red light running non-motor vehicle accident in each intersection in the specified area in the specified period, wherein the accident handling mode comprises a traffic police management mode, a voice safety prompt mode and a prompt-free mode, and further each intersection corresponding to the traffic police management mode, the voice safety prompt mode and the prompt-free mode is obtained.
And the intersection traffic police dispatching module is used for analyzing the traffic police dispatching information corresponding to each intersection in the traffic police management mode, obtaining the traffic police dispatching information corresponding to each intersection in the traffic police management mode, and dispatching the traffic police.
And the voice safety prompting module is used for carrying out voice safety prompting on each crossroad in the voice safety prompting mode.
In the above, screening out all non-motor vehicle accidents that correspond to red light running at each intersection in a specified area in a specified period specifically comprises the following steps: dividing accident videos corresponding to crossroads in a designated area in a designated period into video pictures, further acquiring accident vehicle types corresponding to accidents at the crossroads in the designated area in the designated period, and if a non-motor vehicle exists in the accident vehicle type corresponding to the accident at the crossroads in the designated area in the designated period, judging the accident corresponding to the accident at the crossroads in the designated area in the designated period as the non-motor vehicle accident, thereby acquiring the non-motor vehicle accidents corresponding to the crossroads in the designated area in the designated period.
And extracting each video picture of each non-motor vehicle accident corresponding to each crossroad in the specified area in the specified period, and further acquiring the color of the traffic indicator light of each non-motor vehicle accident corresponding to each crossroad in the specified area in the specified period.
If the color of the traffic indicating lamp corresponding to a certain non-motor vehicle accident at a certain crossroad in the specified area in the specified period is red, the non-motor vehicle accident corresponding to the crossroad in the specified area in the specified period is judged to be the non-motor vehicle accident corresponding to the red light running, and the non-motor vehicle accidents corresponding to the red light running at the crossroad in the specified area in the specified period are obtained through screening.
In the above, the color of the traffic indicator light corresponding to each non-motor vehicle accident at each intersection in the designated area in the designated period is obtained, specifically, the obtaining process is as follows: obtaining the hue, brightness and saturation corresponding to the traffic indicator light at the moment of the occurrence of each non-motor vehicle accident at each crossroad from each video picture of each non-motor vehicle accident corresponding to each crossroad in the designated area in the designated period, and respectively recording as SD ij′ 、MD ij′ And BH ij′ Wherein i represents a number corresponding to each intersection, i =1,2.... N, j ' represents a number corresponding to each non-motor vehicle accident, and j ' =1',2'... M '.
And acquiring hue, brightness and saturation corresponding to the standard red traffic indicator lamp from a traffic management database, and recording the hue, brightness and saturation as SD, MD and BH respectively.
According to the formula
Figure BDA0003966370450000041
Obtaining the coincidence coefficient of the red traffic indicator lamp corresponding to each non-motor vehicle accident in each crossroad>
Figure BDA0003966370450000042
Wherein τ is 1 、τ 2 、τ 3 The weighting factors are respectively corresponding to the set hue, lightness and saturation.
And comparing the coincidence coefficient of the red traffic indicator light corresponding to each non-motor vehicle accident in each crossroad with the set standard coincidence coefficient of the red traffic indicator light, if the coincidence coefficient of the red traffic indicator light corresponding to a certain non-motor vehicle accident in a certain crossroad is greater than or equal to the standard coincidence coefficient of the red traffic indicator light, judging that the color of the traffic indicator light corresponding to the non-motor vehicle accident at the crossroad is red, otherwise, judging that the color of the traffic indicator light corresponding to the non-motor vehicle accident at the crossroad is not red, and thus obtaining the color of the traffic indicator light corresponding to each non-motor vehicle accident at each crossroad.
In the above, the accident information includes the accident handling duration, the number of accident-related people, and the surface area and the damage area of each accident vehicle.
In the above, the analysis of the accident serious conformity coefficient of each non-motor vehicle accident corresponding to the red light running at each intersection in the specified area in the specified period is performed, and the specific analysis process is as follows: substituting the accident handling time length, the number of accident-related people and the damage area of each accident vehicle of each non-motor vehicle which correspondingly runs the red light at each crossroad in the specified area in the specified period into a calculation formula
Figure BDA0003966370450000051
In the method, the accident severity coincidence coefficient for each non-motor vehicle accident corresponding to the red light running at each crossroad in the designated area in the designated period is obtained>
Figure BDA0003966370450000052
Wherein T is ij 、R ij 、S iju 、S iju Respectively representing the accident handling time length, the number of accident related personnel, the u-th accident vehicle damage area and the u-th accident vehicle surface area of the jth non-motor vehicle accident of red light running corresponding to the ith crossroad in a specified area in a specified period, wherein m represents the number of the non-motor vehicle accidents, and epsilon 1 、ε 2 、ε 3 The method comprises the steps of setting weighting factors corresponding to the accident handling duration, the number of accident-related people and the damage area of an accident vehicle, wherein j represents a number corresponding to each non-motor vehicle accident, j =1,2.
In the above, the analysis obtains the corresponding risk coincidence coefficient of the accident state of the non-motor vehicle when the red light is run at each intersection in the specified area in the specified period, and the specific analysis process is as follows: obtaining the number of the non-motor vehicle accidents of which the crossroads in the specified area in the specified period correspondingly run the red light based on the non-motor vehicle accidents of which the crossroads in the specified period correspondingly run the red light, and then calculating according to a calculation formula
Figure BDA0003966370450000061
Obtaining a non-motor vehicle accident state danger coincidence coefficient beta corresponding to the red light running at each crossroad in a specified area in a specified period i In which N is i Indicating the number of non-motor vehicle accidents which run the red light corresponding to the ith crossroad in the designated area in the designated period, n indicating the number of crossroads, gamma 1 、γ 2 The weight factors are respectively the set number of the non-motor vehicle accidents and the corresponding accident severity coincidence coefficients of the non-motor vehicle accidents.
In the above, the analysis of the traffic police dispatching information corresponding to each intersection in the traffic police management mode includes the following specific analysis processes: and obtaining the corresponding position of each crossroad in the traffic police management mode and the corresponding danger coincidence coefficient of the accident state of the non-motor vehicle when the non-motor vehicle runs the red light based on each crossroad in the traffic police management mode.
And comparing the non-motor vehicle accident state danger coincidence coefficient corresponding to the fact that each crossroad runs the red light in the traffic police management mode with the non-motor vehicle accident state danger coincidence coefficient corresponding to the fact that each traffic police demand quantity runs the red light stored in the traffic management database to obtain the traffic police demand quantity corresponding to each crossroad in the traffic police management mode.
And acquiring the number and the position corresponding to each dispatchable traffic police from the traffic management database, and analyzing to obtain the number corresponding to each dispatchable traffic police at each crossroad in the traffic police management mode according to the position of each crossroad and the position of each dispatchable traffic police in the traffic police management mode.
And recording the required quantity of the traffic police and the schedulable traffic police number corresponding to each crossroad in the traffic police management mode as the traffic police scheduling information corresponding to each crossroad in the traffic police management mode.
In the above, the analysis obtains the number of each dispatchable traffic police corresponding to each intersection in the traffic police management mode, and the specific analysis process is as follows: according to the corresponding position of each crossroad in the traffic police management mode and the corresponding position of each schedulable traffic police, the shortest arrival route between each schedulable traffic police and each crossroad in the traffic police management mode is obtained, the intersection number and the route length of the shortest arrival route corresponding to each crossroad in each schedulable traffic police and the traffic police management mode are obtained and are respectively recorded as
Figure BDA0003966370450000071
And &>
Figure BDA0003966370450000072
Wherein g represents a number corresponding to each dispatchable traffic police, g =1,2.
According to a calculation formula
Figure BDA0003966370450000073
Obtaining the on duty priority coincidence coefficient between each schedulable traffic police and each intersection in the traffic police management mode>
Figure BDA0003966370450000074
Where n' represents the number of crossroads in traffic police management mode, σ 1 、σ 2 And the weighting factors are respectively corresponding to the set intersection number and the set route length.
Comparing the arrival priority coincidence coefficients of the dispatchable traffic polices with the arrival priority coincidence coefficients of the crossroads in the traffic police management mode, and obtaining the dispatchable traffic polices corresponding to the crossroads in the traffic police management mode according to the traffic police demand quantity corresponding to the crossroads in the traffic police management mode, thereby extracting the serial numbers of the dispatchable traffic polices corresponding to the crossroads in the traffic police management mode.
In the above, the traffic management database is used for storing the reference red light running non-motor vehicle accident state danger coincidence coefficient interval, the red light running non-motor vehicle accident state danger coincidence coefficient corresponding to the quantity of the traffic police, the serial number and the position corresponding to each schedulable traffic police, and storing the hue, the lightness and the saturation corresponding to the standard red traffic indicator.
Compared with the prior art, the invention has the following beneficial effects: 1. according to the traffic road safe operation monitoring and management platform based on data analysis, the problem of non-motor vehicle traffic accident analysis limitation in the prior art is solved by analyzing the non-motor vehicle accident state and the solution corresponding to the red light running in each crossroad, the intelligent monitoring of the non-motor vehicle accident of the red light running in the crossroad is realized, and the red light running phenomenon of the non-motor vehicles in the crossroad and the occurrence of traffic accidents are effectively reduced.
2. According to the invention, the accident serious coincidence coefficients of all non-motor vehicle accidents corresponding to the red light running in each crossroad are analyzed in the intersection accident serious condition analysis module, so that the dangerous conditions of all non-motor vehicle traffic accidents corresponding to the red light running in each crossroad are displayed truly, and accurate data are provided for the subsequent analysis of the non-motor vehicle accident states corresponding to the red light running in the crossroad.
3. According to the invention, the accident handling mode corresponding to the red light running non-motor vehicle accident in each crossroad is judged in the intersection accident handling mode selection module, so that the targeted analysis and management of the crossroad are realized, the management efficiency of a traffic management department on the crossroad is greatly improved, and the awareness that the non-motor vehicle obeys the traffic rules and the driving normalization of the non-motor vehicle are effectively increased.
4. According to the invention, the traffic police dispatching information corresponding to each crossroad in the traffic police management mode is analyzed in the crossroad traffic police dispatching module, so that the reasonability of the work content and the workload distribution of the traffic police is effectively ensured, and the work efficiency and the work effect of the traffic police are greatly improved.
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In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the description below are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic diagram of a system module connection structure according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, a traffic road safety operation monitoring and management platform based on data analysis includes: the system comprises an intersection basic information acquisition module, an intersection accident screening module, an intersection accident serious condition analysis module, an intersection accident state analysis module, an intersection accident processing mode selection module, an intersection traffic police dispatching module and a traffic management database.
The traffic management database is respectively connected with an intersection accident screening module, an intersection accident handling mode selection module and an intersection traffic police dispatching module, the intersection accident screening module is further connected with an intersection basic information acquisition module and an intersection accident severity analysis module, the intersection accident state analysis module is further connected with an intersection accident severity analysis module and an intersection accident handling mode selection module, and the intersection accident handling mode selection module is further connected with an intersection traffic police dispatching module and an intersection traffic police dispatching module.
And the intersection basic information acquisition module is used for acquiring basic information corresponding to each intersection in a specified area in a specified period, wherein the basic information comprises positions and accident videos, and then the intersections are sequentially numbered as 1,2.
In a specific embodiment, the basic information corresponding to each intersection in the designated area in the designated period is acquired, and the specific acquisition process is as follows: according to the Beidou positioning system, the corresponding positions of all crossroads are obtained, a plurality of cameras are installed in all crossroads, and then accident videos corresponding to all crossroads in a specified area in a specified period are obtained according to all the cameras in all the crossroads.
It should be noted that the designated period is a certain period in the historical time, and may be specifically within the previous month or within the previous two months.
And the intersection accident screening module is used for screening all non-motor vehicle accidents corresponding to red light running at each crossroad in the specified area in the specified period according to all accident videos corresponding to each crossroad in the specified area in the specified period, and acquiring accident information corresponding to all non-motor vehicle accidents corresponding to red light running at each crossroad in the specified area in the specified period.
In a specific embodiment, the screening of the non-motor vehicle accidents that run red light at each intersection in the specified area in the specified period is performed in the following specific screening process: dividing each accident video corresponding to each intersection in a designated area in a designated period into each video picture, further acquiring each accident vehicle type corresponding to each accident in each intersection in the designated area in the designated period, if a non-motor vehicle exists in the accident vehicle type corresponding to each accident in each intersection in the designated area in the designated period, judging the accident corresponding to each accident in each intersection in the designated area in the designated period as a non-motor vehicle accident, and thus acquiring each non-motor vehicle accident corresponding to each intersection in the designated area in the designated period;
and extracting each video picture of each non-motor vehicle accident corresponding to each crossroad in the specified area in the specified period, and further acquiring the color of the traffic indicator light of each non-motor vehicle accident corresponding to each crossroad in the specified area in the specified period.
If the color of the traffic indicating lamp corresponding to a certain non-motor vehicle accident at a certain crossroad in the specified area in the specified period is red, the non-motor vehicle accident corresponding to the crossroad in the specified area in the specified period is judged to be the non-motor vehicle accident corresponding to the red light running, and the non-motor vehicle accidents corresponding to the red light running at the crossroad in the specified area in the specified period are obtained through screening.
In another specific embodiment, the color of the traffic light corresponding to each non-motor vehicle accident at each intersection in the designated area in the designated period is obtained as follows: obtaining the hue, brightness and saturation corresponding to the traffic indicator light at the moment of the occurrence of each non-motor vehicle accident at each crossroad from each video picture of each non-motor vehicle accident corresponding to each crossroad in the designated area in the designated period, and respectively recording as SD ij′ 、MD ij′ And BH ij′ Wherein i represents a number corresponding to each intersection, i =1,2.... N, j ' represents a number corresponding to each non-motor vehicle accident, and j ' =1',2'... M '.
And acquiring the hue, brightness and saturation corresponding to the standard red traffic indicator lamp from a traffic management database, and recording the hue, brightness and saturation as SD, MD and BH respectively.
According to a calculation formula
Figure BDA0003966370450000111
Obtaining the coincidence coefficient of the red traffic indicating lamp corresponding to each non-motor vehicle accident in each crossroad>
Figure BDA0003966370450000112
Wherein tau is 1 、τ 2 、τ 3 Respectively a set color tone,And brightness and saturation corresponding weight factors.
And comparing the coincidence coefficient of the red traffic indicator light corresponding to each non-motor vehicle accident in each crossroad with the set standard coincidence coefficient of the red traffic indicator light, if the coincidence coefficient of the red traffic indicator light corresponding to a certain non-motor vehicle accident in a certain crossroad is greater than or equal to the standard coincidence coefficient of the red traffic indicator light, judging that the color of the traffic indicator light corresponding to the non-motor vehicle accident at the crossroad is red, otherwise, judging that the color of the traffic indicator light corresponding to the non-motor vehicle accident at the crossroad is not red, and thus obtaining the color of the traffic indicator light corresponding to each non-motor vehicle accident at each crossroad.
In another specific embodiment, the accident information includes the length of the accident procedure, the number of accident-related persons, the surface area of each accident vehicle, and the area of damage.
In another specific embodiment, the acquiring of the accident information corresponding to each non-motor vehicle accident caused by red light running at each intersection in the specified area in the specified period specifically includes the following steps: and obtaining the accident handling time of each non-motor vehicle accident corresponding to the red light running at each crossroad based on the accident video of each non-motor vehicle accident corresponding to the red light running at each crossroad.
And acquiring accident involvement persons in the video pictures of the non-motor vehicle accidents running the red light corresponding to each crossroad from the video pictures of the non-motor vehicle accidents running the red light corresponding to each crossroad, and screening the maximum accident involvement persons as the accident involvement persons of the non-motor vehicle accidents running the red light corresponding to each crossroad.
The method comprises the steps of obtaining images of all vehicles before and after an accident occurs in all non-motor vehicle accidents in which all crossroads correspondingly run red lights from all video pictures of all non-motor vehicle accidents in which all crossroads correspondingly run the red lights, further obtaining the surface area corresponding to all the vehicles, comparing the images of all the vehicles before and after the accident occurs in all the non-motor vehicle accidents in which all the crossroads correspondingly run the red lights, and obtaining the damaged area of all the accident vehicles in all the non-motor vehicle accidents in which all the crossroads correspondingly run the red lights.
And the intersection accident severity analysis module is used for analyzing accident severity coincidence coefficients of all non-motor vehicle accidents corresponding to red light running at each intersection in a specified area in a specified period.
In a specific embodiment, the analysis of the accident severity coincidence coefficients of the non-motor vehicle accidents corresponding to red light running at each intersection in the specified area in the specified period is performed, and the specific analysis process is as follows: substituting the accident handling time length, the number of accident-related people and the damage area of each accident vehicle of each non-motor vehicle which correspondingly runs the red light at each crossroad in the specified area in the specified period into a calculation formula
Figure BDA0003966370450000131
In the method, the accident severity coincidence coefficient for each non-motor vehicle accident corresponding to the red light running at each crossroad in the designated area in the designated period is obtained>
Figure BDA0003966370450000132
Wherein T is ij 、R ij 、S iju 、S iju Respectively representing the accident handling time length, the number of accident related personnel, the u-th accident vehicle damage area and the u-th accident vehicle surface area of the jth non-motor vehicle accident of red light running corresponding to the ith crossroad in a specified area in a specified period, wherein m represents the number of the non-motor vehicle accidents, and epsilon 1 、ε 2 、ε 3 The weighting factors correspond to the set accident handling duration, the number of accident-related people and the damage area of the accident vehicle, j represents a number corresponding to each non-motor vehicle accident, j =1,2.
According to the embodiment of the invention, the accident serious coincidence coefficient of each non-motor vehicle accident corresponding to the red light running in each crossroad is analyzed, so that the dangerous condition of each non-motor vehicle traffic accident corresponding to the red light running in each crossroad is displayed truly, and accurate data is provided for the subsequent analysis of the state of the non-motor vehicle accident corresponding to the red light running in the crossroad.
And the intersection accident state analysis module is used for analyzing and obtaining a non-motor vehicle accident state danger coincidence coefficient corresponding to the red light running at each crossroad in the specified area in the specified period based on the accident serious coincidence coefficient corresponding to each non-motor vehicle accident when the red light running at each crossroad in the specified area in the specified period.
In a specific embodiment, the analyzing step obtains a risk coincidence coefficient of the accident state of the non-motor vehicle corresponding to the red light running at each intersection in the specified area in the specified period, and the specific analyzing step is as follows: obtaining the number of the non-motor vehicle accidents of the red light running corresponding to each crossroad in the specified area in the specified period based on each non-motor vehicle accident of the red light running corresponding to each crossroad in the specified area in the specified period, and thus obtaining the number of the non-motor vehicle accidents of the red light running corresponding to each crossroad in the specified area in the specified period according to a calculation formula
Figure BDA0003966370450000141
Obtaining a non-motor vehicle accident state danger coincidence coefficient beta corresponding to the red light running at each crossroad in a specified area in a specified period i In which N is i Indicating the number of non-motor vehicle accidents which run red light at the ith crossroad in a specified area in a specified period, n indicating the number of crossroads, gamma 1 、γ 2 The number of the non-motor vehicle accidents and the accident severity of the non-motor vehicle accidents are respectively set to accord with the weight factors corresponding to the coefficients.
And the intersection accident processing mode selection module is used for judging an accident processing mode corresponding to the red light running non-motor vehicle accident at each intersection in the specified area in the specified period, wherein the accident processing mode comprises a traffic police management mode, a voice safety prompting mode and a prompting-free mode, so as to obtain each intersection corresponding to the traffic police management mode, the voice safety prompting mode and the prompting-free mode.
In a specific embodiment, the accident handling mode corresponding to the red light running non-motor vehicle accident at each intersection in the designated area in the designated period is determined by the following specific determination process: and comparing the corresponding danger coincidence coefficient of the accident state of the non-motor vehicles running the red light in each crossroad in the specified area in the specified period with the reference danger coincidence coefficient interval of the accident state of the non-motor vehicles running the red light stored in the traffic management database.
And if the hazard coincidence coefficient of the accident state of the non-motor vehicles corresponding to the red light running at a certain crossroad in the specified area in the specified period is larger than the upper limit value of the reference red light running non-motor vehicle accident state hazard coincidence coefficient interval, judging that the accident handling mode corresponding to the red light running non-motor vehicle accident in the crossroad in the specified area in the specified period is the traffic police management mode.
And if the danger coincidence coefficient of the non-motor vehicle accident state corresponding to the red light running at a certain crossroad in the specified area in the specified period is within the reference danger coincidence coefficient interval of the non-motor vehicle accident state running the red light, judging that the accident handling mode corresponding to the red light running non-motor vehicle accident at the crossroad in the specified area in the specified period is a voice safety prompting mode.
And if the hazard coincidence coefficient of the non-motor vehicle accident state corresponding to the red light running at a certain crossroad in the specified area in the specified period is smaller than the lower limit value of the reference red light running non-motor vehicle accident state hazard coincidence coefficient interval, judging that the accident handling mode corresponding to the red light running non-motor vehicle accident at the crossroad in the specified area in the specified period is the prompting-free mode.
In this way, the corresponding crossroads are obtained by statistics under the traffic police management mode, the voice safety prompting mode and the prompting-free mode.
According to the embodiment of the invention, the accident handling mode corresponding to the accident that the non-motor vehicles run the red light at each crossroad is judged, so that the targeted analysis and management of the crossroad are realized, the management efficiency of a traffic management department on the crossroad is greatly improved, and the consciousness that the non-motor vehicles obey traffic rules and the driving normalization of the non-motor vehicles are effectively increased.
And the intersection traffic police dispatching module is used for analyzing the traffic police dispatching information corresponding to each intersection in the traffic police management mode, obtaining the traffic police dispatching information corresponding to each intersection in the traffic police management mode, and dispatching the traffic police.
In a specific embodiment, the analysis of the traffic police dispatch information corresponding to each intersection in the traffic police management mode is performed in the following specific process: and obtaining the corresponding position of each crossroad in the traffic police management mode and the corresponding danger coincidence coefficient of the accident state of the non-motor vehicle when the non-motor vehicle runs the red light based on each crossroad in the traffic police management mode.
And comparing the non-motor vehicle accident state danger coincidence coefficient corresponding to the fact that each crossroad runs the red light in the traffic police management mode with the non-motor vehicle accident state danger coincidence coefficient corresponding to the fact that each traffic police quantity required to run the red light stored in the traffic management database to obtain the traffic police quantity required by each crossroad in the traffic police management mode.
And acquiring the number and the position corresponding to each dispatchable traffic police from the traffic management database, and analyzing to obtain the number corresponding to each dispatchable traffic police at each crossroad in the traffic police management mode according to the position of each crossroad and the position of each dispatchable traffic police in the traffic police management mode.
And recording the required quantity of the traffic police and the schedulable traffic police number corresponding to each crossroad in the traffic police management mode as the traffic police scheduling information corresponding to each crossroad in the traffic police management mode.
In another specific embodiment, the analyzing obtains the number of dispatchable traffic police corresponding to each intersection in the traffic police management mode, and the specific analyzing process is as follows: according to the corresponding position of each crossroad in the traffic police management mode and the corresponding position of each schedulable traffic police, the shortest arrival route between each schedulable traffic police and each crossroad in the traffic police management mode is obtained, the intersection number and the route length of the shortest arrival route corresponding to each crossroad in each schedulable traffic police and the traffic police management mode are obtained and are respectively marked as
Figure BDA0003966370450000161
And &>
Figure BDA0003966370450000162
Wherein g represents a number corresponding to each dispatchable traffic police, g =1,2.. Eta.f, i ' represents a number corresponding to each intersection in the traffic police management mode, and i ' =1',2'. Eta.n '.
According to a calculation formula
Figure BDA0003966370450000171
Obtaining the on duty priority coincidence coefficient between each schedulable traffic police and each intersection in the traffic police management mode>
Figure BDA0003966370450000172
Wherein n' represents the number of crossroads in the traffic police management mode, σ 1 、σ 2 And the weighting factors are respectively corresponding to the set intersection number and the set route length. />
Comparing the post arrival priority coincidence coefficients between the dispatchable traffic polices and the crossroads in the traffic police management mode, and obtaining the dispatchable traffic polices corresponding to the crossroads in the traffic police management mode according to the traffic police demand quantity corresponding to the crossroads in the traffic police management mode, thereby extracting the serial numbers of the dispatchable traffic polices corresponding to the crossroads in the traffic police management mode.
In the above, obtaining schedulable traffic polices corresponding to each intersection in the traffic polices management mode includes the following specific analysis processes: comparing the arrival priority coincidence coefficients of the dispatchable traffic polices and the crossroads in the traffic polices management mode with each other to obtain the corresponding sequence of the dispatchable traffic polices at the crossroads in the traffic polices management mode, and further obtaining the dispatchable traffic polices corresponding to the crossroads in the traffic polices management mode based on the required quantity of the traffic polices corresponding to the crossroads in the traffic polices management mode;
if each crossroad in the traffic police management mode has a certain schedulable traffic police, comparing the schedulable traffic police with the arrival-behind priority coincidence coefficient between the crossroads in the traffic police management mode, and selecting the crossroad corresponding to the maximum arrival-behind priority coincidence coefficient as the schedulable traffic police of the crossroad in the traffic police management mode corresponding to the schedulable traffic police.
The embodiment of the invention effectively ensures the reasonability of the work content and the workload distribution of the traffic police by analyzing the traffic police dispatching information corresponding to each crossroad in the traffic police management mode, thereby greatly improving the work efficiency and the work effect of the traffic police.
And the voice safety prompting module is used for carrying out voice safety prompting on each crossroad in the voice safety prompting mode.
And the traffic management database is used for storing a reference red-light-running non-motor vehicle accident state danger conformity coefficient interval, a non-motor vehicle accident state danger conformity coefficient corresponding to the red-light running of the quantity of the traffic police, a number and a position corresponding to each schedulable traffic police, and storing the hue, the brightness and the saturation corresponding to the standard red traffic indicator light.
The embodiment of the invention analyzes the non-motor vehicle accident state and the solution corresponding to the red light running at each crossroad, solves the problem of the prior art that the non-motor vehicle traffic accident analysis is limited, realizes the intelligent monitoring of the non-motor vehicle accident of the red light running at the crossroad, and effectively reduces the red light running phenomenon of the non-motor vehicles at the crossroad and the occurrence of the traffic accidents.
The foregoing is merely illustrative and explanatory of the present invention and various modifications, additions or substitutions may be made to the specific embodiments described by those skilled in the art without departing from the scope of the invention as defined in the accompanying claims.

Claims (9)

1. The utility model provides a traffic route safety operation monitoring management platform based on data analysis which characterized in that includes:
the intersection basic information acquisition module is used for acquiring basic information corresponding to each intersection in a specified area in a specified period, wherein the basic information comprises positions and accident videos, and then the intersections are sequentially numbered as 1,2.
The intersection accident screening module is used for screening all non-motor vehicle accidents which are corresponding to red light running at each crossroad in the specified area in the specified period according to all accident videos which are corresponding to all crossroads in the specified area in the specified period, and acquiring accident information which is corresponding to all non-motor vehicle accidents when red light running at each crossroad in the specified area in the specified period;
the intersection accident severity analysis module is used for analyzing accident severity coincidence coefficients of all non-motor vehicle accidents corresponding to red light running at each intersection in a specified area in a specified period;
the intersection accident state analysis module is used for analyzing and obtaining a non-motor vehicle accident state danger coincidence coefficient corresponding to the red light running at each crossroad in the specified area in the specified period based on the accident serious coincidence coefficient corresponding to each non-motor vehicle accident when the red light running at each crossroad in the specified area in the specified period;
the system comprises an intersection accident handling mode selection module, a traffic police management module, a voice safety prompting module and a prompting-free mode, wherein the intersection accident handling mode selection module is used for judging an accident handling mode corresponding to a red light running non-motor vehicle accident in each intersection in a specified area in a specified period, and the accident handling mode comprises the traffic police management mode, the voice safety prompting mode and the prompting-free mode so as to obtain each intersection corresponding to the traffic police management mode, the voice safety prompting mode and the prompting-free mode;
the intersection traffic police dispatching module is used for analyzing the traffic police dispatching information corresponding to each intersection in the traffic police management mode, obtaining the traffic police dispatching information corresponding to each intersection in the traffic police management mode and dispatching the traffic police;
and the voice safety prompting module is used for carrying out voice safety prompting on each crossroad in the voice safety prompting mode.
2. The traffic road safety operation monitoring and management platform based on data analysis as claimed in claim 1, characterized in that: screening out all non-motor vehicle accidents that correspond to running red light at each crossroad in a specified area in a specified period, wherein the screening process comprises the following steps:
dividing accident videos corresponding to crossroads in a designated area in a designated period into video pictures, further acquiring accident vehicle types corresponding to accidents at the crossroads in the designated area in the designated period, and if a non-motor vehicle exists in the accident vehicle type corresponding to the accident at the crossroads in the designated area in the designated period, judging the accident corresponding to the accident at the crossroads in the designated area in the designated period as a non-motor vehicle accident, thereby acquiring the non-motor vehicle accidents corresponding to the crossroads in the designated area in the designated period;
extracting each video picture of each non-motor vehicle accident corresponding to each crossroad in the designated area in the designated period, and further acquiring the color of the traffic indicator light of each non-motor vehicle accident corresponding to each crossroad in the designated area in the designated period;
if the color of the traffic indicating lamp of a certain non-motor vehicle accident corresponding to a certain crossroad in the specified area in the specified period is red, the non-motor vehicle accident corresponding to the crossroad in the specified area in the specified period is judged to be the non-motor vehicle accident corresponding to the red light running, and therefore all the non-motor vehicle accidents corresponding to the crossroad in the specified area in the specified period are obtained through screening.
3. The traffic road safety operation monitoring and management platform based on data analysis as claimed in claim 2, wherein: the method comprises the following specific steps of obtaining the colors of the traffic indicator lamps corresponding to the non-motor vehicle accidents at each crossroad in the specified area in the specified period:
obtaining the hue, brightness and saturation corresponding to the traffic indicator light at the moment of the occurrence of each non-motor vehicle accident at each crossroad from each video picture of each non-motor vehicle accident corresponding to each crossroad in the designated area in the designated period, and respectively recording as SD ij′ 、MD ij′ And BH ij′ Wherein i represents a number corresponding to each intersection, i =1,2.... N, j 'represents a number corresponding to each non-motor vehicle accident, and j' =1', 2.... M';
obtaining hue, brightness and saturation corresponding to a standard red traffic indicator lamp from a traffic management database, and recording the hue, brightness and saturation as SD, MD and BH respectively;
according to a calculation formula
Figure FDA0003966370440000031
Obtaining the coincidence coefficient of the red traffic indicator lamp corresponding to each non-motor vehicle accident in each crossroad>
Figure FDA0003966370440000032
Wherein tau is 1 、τ 2 、τ 3 Weighting factors corresponding to the set hue, lightness and saturation respectively;
and comparing the coincidence coefficient of the red traffic indicator light corresponding to each non-motor vehicle accident in each crossroad with the set standard coincidence coefficient of the red traffic indicator light, if the coincidence coefficient of the red traffic indicator light corresponding to a certain non-motor vehicle accident in a certain crossroad is greater than or equal to the standard coincidence coefficient of the red traffic indicator light, judging that the color of the traffic indicator light corresponding to the non-motor vehicle accident at the crossroad is red, otherwise, judging that the color of the traffic indicator light corresponding to the non-motor vehicle accident at the crossroad is not red, and thus obtaining the color of the traffic indicator light corresponding to each non-motor vehicle accident at each crossroad.
4. The traffic road safety operation monitoring and management platform based on data analysis according to claim 1, characterized in that: the accident information comprises accident handling time, accident-related people, and the surface area and the damage area of each accident vehicle.
5. The traffic road safety operation monitoring and management platform based on data analysis as claimed in claim 4, characterized in that: the accident serious coincidence coefficient of each non-motor vehicle accident corresponding to the red light running at each crossroad in the specified area in the specified period is analyzed, and the specific analysis process is as follows:
substituting the accident handling time length, the number of accident-related people and the damage area of each accident vehicle of each non-motor vehicle which correspondingly runs the red light at each crossroad in the specified area in the specified period into a calculation formula
Figure FDA0003966370440000041
In the method, the accident severity coincidence coefficient which is obtained when the accident of each non-motor vehicle accident corresponding to the red light running in each crossroad in the specified area in the specified period is based on>
Figure FDA0003966370440000042
Wherein T is ij 、R ij 、S iju 、S iju Respectively representing the accident handling time length, the accident related number of people, the u-th accident vehicle damage area and the u-th accident vehicle surface area of the jth non-motor vehicle accident which correspondingly runs the red light at the ith crossroad in the specified area in the specified period, wherein m represents the number of the non-motor vehicle accidents, and epsilon 1 、ε 2 、ε 3 The method comprises the steps of setting weighting factors corresponding to the accident handling duration, the number of accident-related people and the damage area of an accident vehicle, wherein j represents a number corresponding to each non-motor vehicle accident, j =1,2.
6. The traffic road safety operation monitoring and management platform based on data analysis according to claim 5, characterized in that: the analysis obtains a non-motor vehicle accident state danger coincidence coefficient corresponding to red light running at each intersection in a specified area in a specified period, and the specific analysis process is as follows:
obtaining the number of the non-motor vehicle accidents of the red light running corresponding to each crossroad in the specified area in the specified period based on each non-motor vehicle accident of the red light running corresponding to each crossroad in the specified area in the specified period, and thus obtaining the number of the non-motor vehicle accidents of the red light running corresponding to each crossroad in the specified area in the specified period according to a calculation formula
Figure FDA0003966370440000051
Obtaining a danger coincidence coefficient beta of the accident state of the non-motor vehicles corresponding to the red light running at each crossroad in the specified area in the specified period i In which N is i Indicating the number of non-motor vehicle accidents which run the red light corresponding to the ith crossroad in the designated area in the designated period, n indicating the number of crossroads, gamma 1 、γ 2 The weight factors are respectively the set number of the non-motor vehicle accidents and the corresponding accident severity coincidence coefficients of the non-motor vehicle accidents.
7. The traffic road safety operation monitoring and management platform based on data analysis according to claim 6, characterized in that: the traffic police dispatching information corresponding to each crossroad in the traffic police management mode is analyzed, and the specific analysis process comprises the following steps:
based on each crossroad in the traffic police management mode, obtaining the corresponding position of each crossroad in the traffic police management mode and the corresponding danger coincidence coefficient of the accident state of the non-motor vehicle when the non-motor vehicle runs the red light;
comparing the non-motor vehicle accident state danger coincidence coefficient corresponding to the fact that each crossroad runs the red light in the traffic police management mode with the non-motor vehicle accident state danger coincidence coefficient corresponding to the fact that each traffic police demand quantity runs the red light stored in the traffic management database to obtain the traffic police demand quantity corresponding to each crossroad in the traffic police management mode;
acquiring the number and the position corresponding to each dispatchable traffic police from a traffic management database, and analyzing to obtain the number corresponding to each dispatchable traffic police at each crossroad in a traffic police management mode according to the position of each crossroad and the position of each dispatchable traffic police in the traffic police management mode;
and recording the required quantity of the traffic police and the schedulable traffic police number corresponding to each crossroad in the traffic police management mode as the traffic police scheduling information corresponding to each crossroad in the traffic police management mode.
8. The traffic road safety operation monitoring and management platform based on data analysis according to claim 7, characterized in that: the analysis obtains the serial numbers of schedulable traffic polices corresponding to the crossroads in the traffic polices management mode, and the specific analysis process is as follows:
according to the corresponding position of each crossroad in the traffic police management mode and the corresponding position of each schedulable traffic police, the shortest arrival route between each schedulable traffic police and each crossroad in the traffic police management mode is obtained, the intersection number and the route length of the shortest arrival route corresponding to each crossroad in each schedulable traffic police and the traffic police management mode are obtained and are respectively marked as
Figure FDA0003966370440000062
And &>
Figure FDA0003966370440000063
Wherein g represents a number corresponding to each dispatchable traffic police, g =1,2.. Eta, i 'represents a number corresponding to each intersection in the traffic police management mode, i' =1', 2.. Eta';
according to a calculation formula
Figure FDA0003966370440000061
Obtaining the on duty priority coincidence coefficient between each schedulable traffic police and each intersection in the traffic police management mode>
Figure FDA0003966370440000064
Wherein n' represents the number of crossroads in the traffic police management mode, σ 1 、σ 2 Weighting factors corresponding to the set intersection number and the set route length respectively;
comparing the post arrival priority coincidence coefficients between the dispatchable traffic polices and the crossroads in the traffic police management mode, and obtaining the dispatchable traffic polices corresponding to the crossroads in the traffic police management mode according to the traffic police demand quantity corresponding to the crossroads in the traffic police management mode, thereby extracting the serial numbers of the dispatchable traffic polices corresponding to the crossroads in the traffic police management mode.
9. The traffic road safety operation monitoring and management platform based on data analysis according to claim 1, characterized in that: the traffic management database is used for storing a reference red light running non-motor vehicle accident state danger conforming coefficient interval, a red light running non-motor vehicle accident state danger conforming coefficient corresponding to the quantity of the traffic polices, a number and a position corresponding to each schedulable traffic police, and storing the hue, the brightness and the saturation corresponding to the standard red traffic indicator light.
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