CN101872450A - Analytical method of macro-indicators of traffic police on duty based on multivariate data - Google Patents
Analytical method of macro-indicators of traffic police on duty based on multivariate data Download PDFInfo
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Abstract
The invention discloses an analytical method of macro-indicators of a traffic police on duty based on multivariate data, belonging to the field of traffic management. The analytic method comprises the steps of: combining GPS (Global Position System) data and a GIS (Geographic Information System) together, acquiring a geographical position and a motion trail of a traffic police officer, combining the duty behaviors and duty areas of the traffic police officer together to formulate a macroscopic evaluation indicator system of the duty areas, optimizing the deployment of the duty areas by a traffic police administrative department through the evaluation system, and evaluating the duty-performing capability of the macroscopic evaluation indicator system in each duty area. The invention analyzes the microscopic behaviors of the traffic police in the duty performing process by sufficiently utilizing the multivariate data relevant to the traffic police on duty so as to analyze the macroscopic indicators of the traffic police duty and carry out the macroscopic evaluation on the duty areas.
Description
Technical field
The invention belongs to the traffic administration scope, particularly be subjected to outside and inner polynary factor acting in conjunction in the traffic police on duty process, thereby the behavior in its process on duty is exerted an influence.Make full use of the multivariate data relevant, analyze microscopic behavior in the traffic police on duty process, thereby analyze macro-indicators of traffic police on duty, zone on duty is carried out a kind of analytical method of macro-indicators of traffic police on duty of macroscopic evaluation based on multivariate data with traffic police on duty.
Background technology
At present for each traffic police on duty team the evaluation analysis in zone on duty mainly be by some simple system of attendances, and some traffic events results are estimated.But this mode has very big shortcoming, the one, and the accuracy of data can not be guaranteed, and also more complicated of the obtain manner of data, and not enough system.Consider these problems, on the basis that the traffic police on duty microscopic behavior is analyzed, to individual traffic police microscopic behavior polymerization on duty, and mate with turn out for work scheme of arrangement table and Real-Time Scheduling information, in conjunction with the traffic events that from other system, obtains, traffic etc. to individual traffic police macroscopic behavior on duty pass judgment on and also do not have a kind of good analytical method of macro-indicators at present.
Because the maturation of GPS technology, intelligent terminal system have obtained promoting widely and using in the individual traffic police command system.For example in the Automobile automatic navigation field, surface car is followed the tracks of and the application in municipal intelligent traffic management domain and personal telecommunication terminal (with mobile phone, PDA, electronic chart etc. are integrated) field is very ripe.At these application, many corresponding systems have also developed and have improved various application functions, and for example GPS Vehicular navigation system, a urban taxi monitoring management system also have the management system based on city traffic police individual soldier.
Summary of the invention
The purpose of this invention is to provide a kind of analytical method of macro-indicators of traffic police on duty based on multivariate data, it is characterized in that, this analytical approach is that gps data and generalized information system are combined, obtain traffic police's geographic position and event trace, behavior on duty and regional combination the on duty with the traffic police, make regional macroscopic evaluation index system on duty, can carry out the alert optimization of regional portion on duty by this appraisement system traffic police administrative authority, and the ability on duty of each regional macroscopic evaluation index system on duty is estimated.
The index that described regional macroscopic evaluation index system on duty comprises has the zone to hilllock rate, subdispatch rate, traffic hazard average handling time, traffic hazard average waiting processing time, regional policeman's density, intra-zone scheduling rate.
Described traffic police on duty zone macroscopic evaluation method is that the mathematical model of the fuzzy comprehensive evoluation of employing is made of set of factors U, judge collection V and judge matrix R, for known set of factors U={u
1, u
2..., u
mAnd pass judgment on collection V={v
1, v
2..., v
n, the weight allocation of its each factor is the fuzzy subset A on the U, is designated as
A＝(a
1，a
2，……，a
m) (3-1)
In the formula: a
iBe i factor u
iPairing weight, and ∑ a
i=1.
I factor U
iThe single factor fuzzy subset that to pass judgment on Ri be U to the V:
R
i＝(r
i1，r
i2，……r
in) (3-2)
So the judge matrix of m factor is
R
i＝(r
i1，r
i2，……r
in) (4-3)
Then the result of multifactorial evaluation is
B＝A×R＝(b
1，b
2，……，b
n)。(4-4)
In the formula: B is a fuzzy subset on the V; A*R is the generalized fuzzy compose operation of A and R; b
j(j=1,2 ..., be to pass judgment on object when taking all factors into consideration all factors n) to passing judgment on the degree of membership of j element among the collection V, be the evaluation index of determining parameter value.
Obtaining judging quota b
jAfter, evaluation result can adopt maximum membership degree method and method of weighted mean to obtain.Usually method of weighted mean has been considered the contribution of all judging quotas of system, and the contribution that the most maximum degree of membership method is only considered an index is effective;
Describedly be with method of weighted mean
1) determines set of factors
Determine to influence the various factors (index) of evaluation object, must be so that evaluation object be influenced bigger evaluation index as principal element, the factor of choosing should be suitable, got the workload that increases statistics more, get and lacked the essence that to react things, for traffic police on duty team, it is involved that the Synthetic Evaluation index comprises regional police strength deployment optimization degree on duty, regional police strength on duty ability on duty, these two indexs are respectively by intra-zone scheduling rate, zone policeman's density and regional traffic incident average handling time on duty, regional traffic incident mean waiting time on duty determines, forms its set of factors U thus
1, U
2, therefore, regional police strength on duty is disposed optimization degree fuzzy overall evaluation set of factors and be can be taken as: U
1={ intra-zone scheduling rate, regional policeman's density }={ u
1, u
2; Regional police strength on duty ability fuzzy overall evaluation on duty set of factors can be taken as: U
2={ regional traffic incident average handling time on duty, regional traffic incident mean waiting time on duty }={ u
1, u
2.
2) determine the factor weight collection
Because various factors of evaluation are disposed the significance level difference of optimization degree, regional police strength on duty ability on duty to regional police strength on duty, therefore need give their different weight system, weight coefficient is the fuzzy subset on the U, reflects that the factor weight collection of each factor significance level is
A＝(a
1，a
2，……，a
m)；∑a
i＝1 (4-5)
In like manner, to a
iHave
A
i＝(a
i1，a
i2，……，a
ip)；∑a
ij＝1?(4-6)
3) determine to pass judgment on collection
Regional police strength on duty is disposed the optimization degree, when regional police strength on duty ability on duty is carried out comprehensive evaluation, some factor is difficult to pass judgment on the mark of determining, considers to adopt the method for fuzzy comprehensive evoluation to estimate.Adopt the notion of degree of membership, comment be divided into Pyatyi: excellent, good, in, pass, fail.The structure membership function can be represented with form continuous or that disperse.
[52]For example: have N expert to estimate, think the excellent N that has
1Individual, think good N
2It is individual ..., think the N that has that fails
5Individual etc., obvious N
1+ N
2+ N
3+ N
4+ N
5During=N, can use N
j/ N represents to belong to the degree of membership of j shelves comment.Like this for m target arranged, scheme is that x gets the fuzzy evaluation matrix and is during 5 grades of comment collection
R＝(r
ij)(i＝1，2，……m；j＝1，2……5) (4-7)
R wherein
Ij=u
Ij(x) representation scheme X is in j shelves comment in the I target and gets degree of membership.
When multiple goal is carried out comprehensive fuzzy evaluation, earlier will be to the weighting respectively of each target, establishing i target weight coefficient is W
i, ∑ W then
i=1, W
i〉=0, can get the weight coefficient vector
A＝(W
1，W
2，……，W
m) (4-8)
Last comprehensive fuzzy evaluation matrix is B, and calculating formula is:
Described maximum membership degree method, determine that at present subordinate function has a lot of methods, determine that subordinate function (or degree of membership) is the key of whole evaluation, comprise 1. the empirical curve that draws according to the investigation statistics result, as fuzzy statistics test method(s) and binary contrast ranking method etc. as subordinate function; 2. select for use some representative function as subordinate function according to the character of problem; 3. provide the concrete numerical value of degree of membership according to subjective understanding or personal experience.
Beneficial effect of the present invention is at the application of GPS intelligent terminal system in traffic police's management system, the macro-indicators of traffic police on duty system has been proposed first, and relevant evaluation method proposed, be used for the ability on duty and the police strength deployment of team on duty are estimated, for traffic police administrative authority provides the foundation of team on duty examination with police strength optimization deployment.
Compare team on duty examination form on duty in the past, the ability on duty to the police of team on duty of the present invention's energy system is made evaluation, and can dispose this police strength to the compass of competency on duty and make evaluation.Can be for traffic control department provide management, examination and the foundation of optimizing the deployment police strength.
The macro-indicators of traffic police on duty system that the present invention proposes is the rule on duty according to team on duty, and the zone on duty feature proposed.The level on duty of team on duty can be embodied in evaluation result fully.And data of the present invention are the GPS positional informations according to each traffic police of team on duty, and the relevant range scope obtained, than in the past statistical data more accurately with in detail.
Figure of description
Fig. 1 removes diligent regional macro-indicators structural drawing for the traffic police based on multivariate data.
Fig. 2 estimates process flow diagram for general structure.
Embodiment
The purpose of this invention is to provide a kind of analytical method of macro-indicators of traffic police on duty based on multivariate data.This analytical approach is that gps data and generalized information system are combined, obtain traffic police's geographic position and event trace, behavior on duty and regional combination the on duty with the traffic police, make regional macroscopic evaluation index system on duty, can carry out the alert optimization of regional portion on duty by this appraisement system traffic police administrative authority, and the ability on duty of each regional macroscopic evaluation index system on duty is estimated.
Figure 1 shows that the traffic police based on multivariate data removes diligent regional macro-indicators structural drawing, show traffic police on duty zone macroscopic evaluation index system, by to each team's on duty way to manage, and traffic police's scheduling mode, after traffic police's microcosmic behavior on duty is analyzed in addition, formulate following regional macroscopic evaluation index system on duty.The index that comprises in this system has the zone to hilllock rate, subdispatch rate, traffic hazard average handling time, traffic hazard average waiting processing time, regional policeman's density.
Intra-zone scheduling rate
Index definition: in this index expression one day, the policeman is because the be scheduled ratio of the number of times of generation traffic events in number of times and the one's respective area of traffic events in the one's respective area.
The index meaning: this index is intended to describe the traffic events in the team on duty compass of competency, by the handled ratio of one's respective area traffic police.Can judge whether the traffic police of inside, one's respective area disposes reasonable by this index.
Computing formula:
The intra-zone scheduling rate of variable declaration: P (i) i team on duty.
The number of times that is scheduled in the policeman of n (i) i team on duty a day.
N
Inc(i) number of times that traffic events takes place in the individual team on duty of i.
The traffic hazard average handling time
Index definition: this index expression is in one day, and in the team on duty compass of competency, traffic events is from accepting the mean value that processing finishes the required time.
Index meaning:, can judge each regional policeman's ability on duty by contrasting the traffic hazard average handling time of a team on duty.(traffic events at this place should be divided type according to the order of severity)
Computing formula:
Variable declaration: T
d(i) traffic hazard average handling time.
t
d(i, j) processing time of j incident of i team on duty.
N
Inc(i) i number of times that team on duty takes place with interior traffic events.
The traffic hazard average latency
Index definition: this index expression is in one day, and in the team on duty compass of competency, traffic events is from occurring to the mean value of accepting to handle required time.
Whether the index meaning: this index is intended to this team on duty of reflection, for the reaction capacity of traffic events generation, and can embody traffic police's deployment and optimize.
Computing formula:
Variable declaration: T
w(i) the traffic hazard average latency.
t
w(i, j) j incident of i team on duty etc. the pending time.
N
Inc(i) i number of times that team on duty takes place with interior traffic events.
Zone policeman density: this index expression in team on duty compass of competency, the ratio of road network area in traffic police's sum on duty and this zone.
The index meaning: this index can reflect in this team on duty compass of competency in quantity, traffic police's deployment scenario.
Computing formula:
Regional policeman's density of i team on duty of variable declaration: D (i) expression.
Traffic police's sum on duty of i team on duty of n (i) expression.
S
Road(i) the road network area of i team on duty of expression.
2. traffic police on duty zone macroscopic evaluation method is carried out according to general structure evaluation process flow diagram shown in Figure 2,
The mathematical model of fuzzy comprehensive evoluation is made of set of factors U, judge collection V and judge matrix R, for known set of factors U={u
1, u
2..., u
mAnd pass judgment on collection V={v
1, v
2..., v
n, the weight allocation of its each factor is the fuzzy subset A on the U, is designated as
A＝(a
1，a
2，……，a
m) (3-1)
In the formula: a
iBe i factor u
iPairing weight, and ∑ a
i=1.
I factor U
iThe single factor fuzzy subset that to pass judgment on Ri be U to the V:
R
i＝(r
i1，r
i2，……r
in) (3-2)
So the judge matrix of m factor is
R
i＝(r
i1，r
i2，……r
in) (4-3)
Then the result of multifactorial evaluation is
B＝A×R＝(b
1，b
2，……，b
n)。(4-4)
In the formula: B is a fuzzy subset on the V; A*R is the generalized fuzzy compose operation of A and R; b
j(j=1,2 ..., be to pass judgment on object when taking all factors into consideration all factors n) to passing judgment on the degree of membership of j element among the collection V, be the evaluation index of determining parameter value.
Obtaining judging quota b
jAfter, evaluation result can adopt maximum membership degree method and method of weighted mean to obtain.Usually method of weighted mean has been considered the contribution of all judging quotas of system, only considers that than the maximum membership degree method contribution of an index is effective, so this The thesis method of weighted mean.
1) determines set of factors
Determine to influence the various factors (index) of evaluation object, must be so that evaluation object be influenced bigger evaluation index as principal element.The factor of choosing should be suitable, and got increases the workload of adding up more, gets and has lacked the essence that can not react things.For traffic police on duty team, it is involved that the Synthetic Evaluation index comprises regional police strength deployment optimization degree on duty, regional police strength on duty ability on duty, and these two indexs are determined by intra-zone scheduling rate, regional policeman's density and regional traffic incident average handling time on duty, regional traffic incident mean waiting time on duty respectively.Form its set of factors U thus
1, U
2Therefore, regional police strength deployment optimization degree fuzzy overall evaluation set of factors on duty can be taken as: U
1={ intra-zone scheduling rate, regional policeman's density }={ u
1, u
2.Regional police strength on duty ability fuzzy overall evaluation on duty set of factors can be taken as: U
2={ regional traffic incident average handling time on duty, regional traffic incident mean waiting time on duty }={ u
1, u
2.
2) determine the factor weight collection
Because various factors of evaluation are disposed the significance level difference of optimization degree, regional police strength on duty ability on duty to regional police strength on duty, therefore need give their different weight system, weight coefficient is the fuzzy subset on the U, reflects that the factor weight collection of each factor significance level is
A＝(a
1，a
2，……，a
m)；∑a
i＝1(4-5)
In like manner, to a
iHave
A
i＝(a
i1，a
i2，……，a
ip)；∑a
ij＝1(4-6)
3) determine to pass judgment on collection
Regional police strength on duty is disposed the optimization degree, when regional police strength on duty ability on duty is carried out comprehensive evaluation, some factor is difficult to pass judgment on the mark of determining, considers to adopt the method for fuzzy comprehensive evoluation to estimate.Adopt the notion of degree of membership, comment be divided into Pyatyi: excellent, good, in, pass, fail.The structure membership function can be represented with form continuous or that disperse.
[52]For example: have N expert to estimate, think the excellent N that has
1Individual, think good N
2It is individual ..., think the N that has that fails
5Individual etc., obvious N
1+ N
2+ N
3+ N
4+ N
5During=N, can use N
j/ N represents to belong to the degree of membership of j shelves comment.Like this for m target arranged, scheme is that x gets the fuzzy evaluation matrix and is during 5 grades of comment collection
R＝(r
ij)(i＝1，2，……m；j＝1，2……5) (4-7)
R wherein
Ij=u
Ij(x) representation scheme X is in j shelves comment in the I target and gets degree of membership.
When multiple goal is carried out comprehensive fuzzy evaluation, earlier will be to the weighting respectively of each target, establishing i target weight coefficient is W
i, ∑ W then
i=1, W
i〉=0, can get the weight coefficient vector
A＝(W
1，W
2，……，W
m)(4-8)
Last comprehensive fuzzy evaluation matrix is B, and calculating formula is:
Determine that subordinate function (or degree of membership) is the key of whole evaluation.Determine that at present subordinate function has a lot of methods: 1. the empirical curve that draws according to the investigation statistics result is as subordinate function, as fuzzy statistics test method(s) and binary contrast ranking method etc.; 2. select for use some representative function as subordinate function according to the character of problem; 3. provide the concrete numerical value of degree of membership according to subjective understanding or personal experience.
In sum, macro-indicators of traffic police on duty system and evaluation method that the present invention proposes based on multivariate data, ability on duty and this regional police strength deployment scenario in each zone on duty of evaluation that can be objective and accurate provide decision support effectively for traffic police administrative authority carries out the police service management with police strength optimization deployment.
Claims (5)
1. analytical method of macro-indicators of traffic police on duty based on multivariate data, it is characterized in that, this analytical approach is that gps data and generalized information system are combined, obtain traffic police's geographic position and event trace, behavior on duty and regional combination the on duty with the traffic police, make regional macroscopic evaluation index system on duty, can carry out the alert optimization of regional portion on duty by this appraisement system traffic police administrative authority, and the ability on duty of each regional macroscopic evaluation index system on duty is estimated.
2. according to the described analytical method of macro-indicators of traffic police on duty of claim 1 based on multivariate data, it is characterized in that, the index that described regional macroscopic evaluation index system on duty comprises has the zone to hilllock rate, subdispatch rate, traffic hazard average handling time, traffic hazard average waiting processing time, regional policeman's density, intra-zone scheduling rate.
3. according to the described analytical method of macro-indicators of traffic police on duty of claim 1 based on multivariate data, it is characterized in that, described traffic police on duty zone macroscopic evaluation method is that the mathematical model of the fuzzy comprehensive evoluation of employing is made of set of factors U, judge collection V and judge matrix R, for known set of factors U={u
1, u
2..., u
mAnd pass judgment on collection V={v
1, v
2..., v
n, the weight allocation of its each factor is the fuzzy subset A on the U, is designated as
A＝(a
1，a
2，……，a
m) (3-1)
In the formula: a
iBe i factor u
iPairing weight, and ∑ a
i=1.
I factor U
iThe single factor fuzzy subset that to pass judgment on Ri be U to the V:
R
i＝(r
i1，r
i2，……r
in) (3-2)
So the judge matrix of m factor is
R
i(r
i1，r
i2，……r
in) (4-3)
Then the result of multifactorial evaluation is
B＝A×R＝(b
1，b
2，……，b
n)。(4-4)
In the formula: B is a fuzzy subset on the V; A*R is the generalized fuzzy compose operation of A and R; b
j(j=1,2 ..., be to pass judgment on object when taking all factors into consideration all factors n) to passing judgment on the degree of membership of j element among the collection V, be the evaluation index of determining parameter value.
Obtaining judging quota b
jAfter, evaluation result can adopt maximum membership degree method and method of weighted mean to obtain.Usually method of weighted mean has been considered the contribution of all judging quotas of system, and the contribution that the most maximum degree of membership method is only considered an index is effective.
4. according to the described analytical method of macro-indicators of traffic police on duty of claim 3, it is characterized in that, describedly be with method of weighted mean based on multivariate data
1) determines set of factors, determine to influence the various factors (index) of evaluation object, must be so that evaluation object be influenced bigger evaluation index as principal element, the factor of choosing should be suitable, got the workload that increases statistics more, get and lacked the essence that to react things, for traffic police on duty team, it is involved that the Synthetic Evaluation index comprises regional police strength deployment optimization degree on duty, regional police strength on duty ability on duty, these two indexs are respectively by intra-zone scheduling rate, zone policeman's density and regional traffic incident average handling time on duty, regional traffic incident mean waiting time on duty determines, forms its set of factors U thus
1, U
2, therefore, regional police strength on duty is disposed optimization degree fuzzy overall evaluation set of factors and be can be taken as: U
1={ intra-zone scheduling rate, regional policeman's density }={ u
1, u
2; Regional police strength on duty ability fuzzy overall evaluation on duty set of factors can be taken as: U
2={ regional traffic incident average handling time on duty, regional traffic incident mean waiting time on duty }={ u
1, u
2.
2) determine the factor weight collection, because various factors of evaluation are disposed the significance level difference of optimization degree, regional police strength on duty ability on duty to regional police strength on duty, therefore need give their different weight system, weight coefficient is the fuzzy subset on the U, reflects that the factor weight collection of each factor significance level is
A＝(a
1，a
2，……，a
m)；∑a
i＝1 (4-5)
In like manner, to a
iHave
A
i＝(a
il，a
i2，……，a
ip)；∑a
ij＝1 (4-6)
3) determine to pass judgment on collection, regional police strength on duty is disposed the optimization degree, when regional police strength on duty ability on duty is carried out comprehensive evaluation, some factor is difficult to pass judgment on the mark of determining, considers to adopt the method for fuzzy comprehensive evoluation to estimate.Adopt the notion of degree of membership, comment be divided into Pyatyi: excellent, good, in, pass, fail.The structure membership function can be represented with form continuous or that disperse.
[52]For example: have N expert to estimate, think the excellent N that has
1Individual, think good N
2It is individual ..., think the N that has that fails
5Individual etc., obvious N
1+ N
2+ N
3+ N
4+ N
5During=N, can use N
j/ N represents to belong to the degree of membership of j shelves comment.Like this for m target arranged, scheme is that x gets the fuzzy evaluation matrix and is during 5 grades of comment collection
R＝(r
ij)(i＝1，2，……m；j＝1，2……5) (4-7)
R wherein
Ij=u
Ij(x) representation scheme X is in j shelves comment in the I target and gets degree of membership.
When multiple goal is carried out comprehensive fuzzy evaluation, earlier will be to the weighting respectively of each target, establishing i target weight coefficient is W
i, ∑ W then
i=1, W
i〉=0, can get the weight coefficient vector
A＝(W
1，W
2，……，W
m) (4-8)
Last comprehensive fuzzy evaluation matrix is B, and calculating formula is:
5. according to the described analytical method of macro-indicators of traffic police on duty of claim 3 based on multivariate data, it is characterized in that, described maximum membership degree method, determine that at present subordinate function has a lot of methods, determine that subordinate function (or degree of membership) is the key of whole evaluation, comprise 1. the empirical curve that draws according to the investigation statistics result as subordinate function, as fuzzy statistics test method(s) and binary contrast ranking method etc.; 2. select for use some representative function as subordinate function according to the character of problem; 3. provide the concrete numerical value of degree of membership according to subjective understanding or personal experience.
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| CN109191853A (en) * | 2018-10-26 | 2019-01-11 | 江苏智通交通科技有限公司 | Urban road traffic police on duty hilllock point configuration method |
| CN109359880A (en) * | 2018-10-26 | 2019-02-19 | 江苏智通交通科技有限公司 | Urban highway traffic police deployment method on duty |
| CN109191853B (en) * | 2018-10-26 | 2021-07-09 | 江苏智通交通科技有限公司 | Method for configuring on-duty post points of urban road traffic police |
| CN109359880B (en) * | 2018-10-26 | 2021-10-22 | 江苏智通交通科技有限公司 | Urban road traffic duty police force deployment method |
| CN110378823A (en) * | 2019-06-13 | 2019-10-25 | 同济大学 | A kind of police strength placement algorithm based on multivariate data |
| CN110956359A (en) * | 2019-10-25 | 2020-04-03 | 上海燕汐软件信息科技有限公司 | Monitoring method and device for idle behavior of courier and storage medium |
| CN111523797A (en) * | 2020-04-21 | 2020-08-11 | 深圳中科慧据科技有限公司 | Rail transit early warning event scheduling method and device, computer equipment and storage medium |
| CN114155704A (en) * | 2021-10-18 | 2022-03-08 | 北京千方科技股份有限公司 | Traffic data processing method, device, storage medium and terminal based on AI (Artificial Intelligence) service |
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