CN101872451A - Multivariate data based analytical method of microscopic behaviors of individual traffic police on duty - Google Patents
Multivariate data based analytical method of microscopic behaviors of individual traffic police on duty Download PDFInfo
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Abstract
The invention discloses a multivariate data based analytical method of microscopic behaviors of an individual traffic police on duty, belonging to the field of traffic management. The analytical 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 through GPS geographical information data, filtering the motion trail, then extracting a motion sequence of a certain time, dividing the microscopic behaviors of the individual traffic police on duty according to the association state between the positions of the police officer and the position of each area in a GIS map, and the states of traffic events and traffic conditions, and finally judging the matching degree of executivemandates by combining the microscopic behaviors with the duty arrangement and scheduling information in a duty system and a scheduling system. The invention aims to analyze the microscopic and macroscopic behaviors of the traffic police in the duty performing process by sufficiently utilizing the multivariate data relevant to the traffic police on duty.
Description
Technical field
The invention belongs to and handing over the traffic administration scope, particularly in traffic police's process on duty, the acting in conjunction of the polynary factor of outside that can be subjected to and inside can exert an influence to the behavior in its process on duty.The present invention is intended to make full use of the multivariate data relevant with traffic police on duty, analyzes microcosmic and a kind of individual traffic police based on multivariate data of macroscopic behavior microscopic behavior analytical approach on duty in the traffic police on duty process.
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 individual traffic police microscopic behavior analytical approach 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 movement locus by the GPS geographic information data, after movement locus filtering, extract the motion sequence of certain hour, according to police's position and each the regional position correlation behavior in the GIS map, and traffic events, the state of traffic, by judgement to all kinds of individual traffic police GPS location statuss, and the judgement of traffic events and situation, determine traffic police's behavior on duty, and individual traffic police microscopic behavior on duty divided, thereby arrange and schedule information by turning out for work in duties system and the dispatching system, final combining with traffic police's microscopic behavior judged the matching degree of task on duty.
Described individual traffic police microscopic behavior on duty is divided, and the microscopic behavior of traffic police in process on duty is divided into: on duty, temporarily leave the post, leave the post, on the road of handling traffic events, handle traffic events, handling traffic events and returning in the way.
The invention has the beneficial effects as follows the technology of comparing in the past, the present invention is by setting up complete traffic police's behavioural analysis system, handle huge traffic police GPS positional information, make traffic police administrative authority can more flexilely carry out police service management and police service scheduling, and can estimate police's behavior on duty.
The police service behavior various on duty that the present invention proposes, be after having studied traffic police's feature on duty, to propose, it is complete description to the traffic police on duty process, and owing to be to come analysis and judgement at individual traffic police, judge the traffic police on duty status system so compare other by the police car gps system, judgement of the present invention is more accurately with detailed.
To sum up draw, the microscopic behavior analytical technology on duty of the individual traffic police based on multivariate data that the present invention proposes, behavior on duty that can more rational reaction traffic police is for traffic police administrative authority carries out the police service management and the police service scheduling provides decision support effectively.
Description of drawings
Fig. 1 is based on the individual traffic police of multivariate data microscopic behavior analytical structure on duty figure.
Fig. 2 is location matching method figure.
Fig. 3,4 is individual traffic police behavior sorted logic on duty figure.
Embodiment
The purpose of this invention is to provide a kind of individual traffic police microscopic behavior analytical approach 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 movement locus by the GPS geographic information data, after movement locus filtering, extract the motion sequence of certain hour, according to police's position and each the regional position correlation behavior in the GIS map, and traffic events, the state of traffic, by judgement to all kinds of individual traffic police GPS location statuss, and the judgement of traffic events and situation, determine traffic police's behavior on duty, and individual traffic police microscopic behavior on duty divided, thereby arrange and schedule information by turning out for work in duties system and the dispatching system, final combining with traffic police's microscopic behavior judged the matching degree of task on duty.
1. individual traffic police microscopic behavior on duty is divided, by to the behavior of traffic police in process on duty in the past, and the demand of police service dispatching system, the microscopic behavior of traffic police in process on duty can be divided into: on duty, temporarily leave the post, leave the post, on the road of handling traffic events, handle traffic events, handle traffic events and return the medium several behaviors in way.
Describe the semantic concept of traffic police's behavior, at first need the behavior setting key element is defined.
A) region R on duty
This zone is the zone on duty that police service traffic department prearranges for turning out for work of traffic police, in the working time, as fortuitous event do not occur or is scheduled, and the traffic police need be on duty in this scope.When being embodied in the generalized information system, map can be divided into several zonules, zone on duty is the fixing zones of some of them.
B) traffic events generation area S
This zone is divided into two kinds, and a kind of is the traffic hazard generation area, as accidents such as traffic accidents, mainly refers to affiliated zone, traffic hazard spot; Another kind is the traffic behavior generation area, mainly refers to the traffic behavior that some is special, as block up etc.These two kinds of dividing region are identical with zone on duty.
C) traffic events state P
The traffic events state is divided into by processing procedure, waits pending P1, handles P2, processing and finish P3.These three kinds of states are defined as.The wait processing procedure refers to that traffic events takes place, but police's no show traffic events generation area.Just refer to that after incident took place, police arrived the traffic events generation area in processing procedure.The processing terminal procedure is that police leave the traffic events generation area after the incident generation area is handled incident.
D) police are temporarily from time T
1
The definition of this time is intended to explain that police are of short duration in process on duty leaves zone on duty, but the defined event horizon of not leaving the post.
Semantic concept to each behavior is described in detail below:
On duty: behavior on duty is defined as police in process on duty, is in the behavior in the region R on duty always.The behavior shows as in system, and security personnel's GPS position is in generalized information system in the zone on duty.
Temporarily leave the post: the behavior of leaving the post temporarily is defined as, and the security personnel leaves region R on duty, but time departure surpasses police temporarily from the behavior of time T.
Leave the post: the behavior of leaving the post is defined as, and the security personnel leaves region R on duty, and time departure has surpassed police temporarily from time T
1
Handling on the road of traffic events: the behavior is defined as, and traffic events state P such as is at armed state P1, and police's GPS movement locus, trend traffic events generation area S, but and no show should the zone.Handling traffic events: the behavior is defined as, and when traffic events state P is in just at treatment state P2, and police's GPS position is positioned at traffic events generation area S.
Handling traffic events returns in the way: the behavior is defined as, and when traffic time state P was in processing done state P3, police's GPS movement locus tended to region R on duty, but also no show should the zone.
2. individual traffic police exercise data filtering on duty
Figure 1 shows that the locator meams of GPS technology as a kind of advanced person, itself also exists certain shortcoming, can cause some inevitable errors.The error of gps data be mainly derived from following some:
1) error relevant with satellite
(1) satellite ephemeris error
(2) satellite clock correction
(3) SA mushing error
(4) influence of relativistic effect
2) error relevant with the route of transmission
(1) ionospheric refraction
(2) tropospheric refraction
(3) multipath effect
3, the error relevant with the GPS receiver
(1) receiver clock correction
(2) site error of receiver
(3) receiver antenna phase center deviation
Because inevitably there is error in gps data, so when using gps data, should carry out pre-service to guarantee the accurate of gps data to data.At present from system, had been found that several main abnormal data situations, mainly contained wild point (very big), error point (deviation being arranged slightly) with movement locus with the movement locus deviation.In order to solve the GPS error information, native system has adopted filter method that data are handled.Raw data is carried out Filtering Processing can reject wild point in the data, fill up missing data and can reduce data error.
Adopt map match and position correlation method to come the GPS position data is optimized at this, to reach the purpose that reduces error.
Figure 2 shows that location matching method figure, close on S (x
0, y
0) certain limit in n bar road is arranged, L
i(i=1,2,3 ... n) be highway section to be selected.Now therefrom search for one and make a S to the shortest road of its projector distance, subpoint is exactly the match point P (x that is asked
p, y
p).
The position correlation method:
The GPS track of considering the traffic police personnel is milder, does not have visibility point at short notice and changes, so revise after can contrasting according to the coordinate of the coordinate of current location point and adjacent position point.At this, separately be optimized for the latitude and longitude coordinates of GPS on map, with time X-axis, to spend coordinate as Y-axis through (latitude).
3. individual traffic police motion sequence on duty extracts
Behavior is meant a sequence of being made up of according to the regular hour order a series of atomic motions, and takes place in certain context.Wherein atomic motion is meant and describes the movable information of moving object in a period of time interval of delta t, be that (value of Δ t is set according to actual conditions in not subdivisible behavior, in conjunction with the refresh rate of GPS and police's movement velocity, determine that T is the time interval herein).
From the semantic concept of microscopic behavior as can be seen, the classification of various microscopic behaviors be actually with, police's the position on the map in generalized information system is determined with the relation of relevant range.So herein for individual traffic police action sequence on duty, adopt behind one section Fixed Time Interval T, police's GPS position is as motion sequence.The motion sequence that extracts like this is exactly the location point of a series of free parameters in generalized information system.By drawing movement locus, judge the microscopic behavior individual on duty of judging the traffic police with the correlativity of relevant range.
4. individual traffic police microscopic behavior on duty is judged
After extracting individual traffic police motion sequence on duty, just can judge microscopic behavior.Can sum up from the definition to individual traffic police microscopic behavior on duty, each microscopic behavior is actually the GPS location status by the traffic police, and the state of traffic events determines.So, in fact be exactly judgement to various states for the judgement of individual traffic police behavior on duty.
Individual traffic police microscopic behavior on duty and various states concern See Figure.Individual traffic police behavior sorted logic on duty figure (shown in Fig. 3,4) can analyze by the displaying of logical diagram, the judgement of various behaviors on duty is the individual state by the traffic police, and the state of traffic events determines jointly.So the identification to various states then is the key of this method of discrimination.Concrete computing method to various states are described below.
In zone on duty:
The gps coordinate X of known traffic police i
i, Y
i, and the coordinate of regional center point on duty
Wherein R is expressed as zone on duty, and i is a zone number on duty.The radius in zone on duty is definite value r.
The traffic police in zone on duty, i.e. distance between traffic police's position coordinates and the regional center point on duty
Concrete computing formula is:
At this with R
iRepresent that traffic police i whether in zone on duty, works as d
iR during≤r
i=1 is illustrated in the zone on duty, when
The time R
i=0 is illustrated in outside the zone on duty.
In the traffic events zone:
The gps coordinate X of known traffic police i
i, Y
i, and the coordinate of traffic events regional center point
Wherein S is expressed as zone on duty, and i is a zone number on duty.The radius in zone on duty is definite value r.
The traffic police in the traffic events zone, i.e. distance between traffic police's position coordinates and the traffic events regional center point
Concrete computing formula is:
At this with S
iRepresent traffic police i whether in the traffic events zone, when
The time S
i=1 is illustrated in the traffic events zone, when
The time S
i=0 is illustrated in outside the zone on duty.
Outside the zone on duty
The traffic police is defined as outside zone on duty, and the traffic police leaves zone on duty, and not in the traffic time generation area.The condition that this kind situation takes place is R
i=0 and S
i=0.
When traffic events takes place, need herein to judge whether the traffic police is close to the incident generation area.The state of considering the traffic police is divided into a series of position sequences that the time interval is Δ t.Suppose to consider j seasonal effect in time series location status herein, then need to rely on the distance of current j time series traffic police apart from the traffic events regional center
And the distance of a last time series j-1
Determine traffic police's trend.
Use C
S(j) judge the traffic police in j time series convergence traffic events generation area whether, specific algorithm is.
Wherein work as C
S(j)=1 o'clock show that the traffic police near the traffic events generation area, works as C
S(j)=0 o'clock show that the traffic police is near the traffic events generation area.
Use C equally
R(j) judge the traffic police in j time series convergence zone on duty whether, specific algorithm is:
Wherein work as C
R(j)=1 o'clock show that the traffic police near zone on duty, works as C
R(j)=0 o'clock show that the traffic police is near zone on duty.
The traffic events state
Come that represent traffic state-event with P, if P=1, traffic events takes place in expression; If P=0 represents not take place traffic events.
When traffic events takes place, pending P1 such as be subdivided into again, handle P2, processing finishes these three processes of P3.
Etc. armed state P1: this moment, traffic events took place, i.e. P=1; And no traffic police in the region S.
I=1 wherein, 2 ... n, expression traffic police's numbering.
Just at treatment state P2:
This moment, traffic events took place, i.e. P=1; And there is the traffic police to arrive in the region S.
Handle done state P3:
This state after handling traffic events, is reported definite afterwards by the security personnel to dispatching system.Concrete form is:
After various states have been carried out mathematical description, just can carry out the judgement of traffic police on duty microscopic behavior.
On duty: behavior on duty is defined as police in process on duty, is in the behavior in the region R on duty always.The location status that is the traffic police is in zone on duty.
Promptly work as R
i=1;
Police's state: on duty.
Temporarily leave the post: the behavior of leaving the post temporarily is defined as, and the security personnel leaves region R on duty, but lay-off time t surpasses police temporarily from the behavior of time T.
Being described as of the behavior.
Work as R
iDuring=0 and t＜T,
Police's state: temporarily leave the post
Leave the post: police's location status is for outside zone on duty, and time departure surpassed police temporarily from time T, and traffic events does not take place this moment, or when traffic events took place, police's position was not near the incident generation area.
Work as R
i=0 and S
i=0, t＞T, P=0;
Police's state: leave the post;
Work as R
i=0 and S
i=0, t＞T, P=1, C
R(j)=0;
Police's state: leave the post.
In handling the traffic events way: the behavior is defined as, and police are outside zone on duty, and police's GPS movement locus, trend traffic events generation area S, but also no show should the zone.
The behavior is described as:
Work as P=1, R
i=0 and S
i=0, C
S(j)=1;
Police's state: in handling the traffic events way
Handling traffic events: after traffic events takes place, police's arrival event generation area.
Work as P=1, S
i=1;
Police's state: handling traffic events.
Handling traffic events returns in the way: after traffic time takes place, and police's leave event generation area, and police's GPS position tends to zone on duty.
Work as P3=1, R
i=0 and S
i=0, C
R(j)=1;
Police's state: handle traffic time and return in the way.
The state that zone above-mentioned and on duty is relevant with the traffic events generation area can pass through police GPS positional information, combines with the GIS Geographic Information System to determine.
At traffic events generation state, need each traffic information management department that the generation state of traffic events is in time shared, combine with generalized information system as the form of parameter.The final microscopic behavior individual on duty of determining the traffic police.
5. based on the individual traffic police of the calendar of turning out for work matching degree analysis on duty (as shown in Figure 3)
Police's arrangement on duty is that the input computing machine is realized the information sharing of the overall situation, so that traffic police office Manpower Services Branch is regularly supervised after having formulated the arrangement of turning out for work in a week by each group.But in the process on duty of reality,, police leave the post owing to can existing, and when the traffic accident perhaps takes place, can temporary scheduling.The actual situation of turning out for work can be variant with the calendar meeting of turning out for work.In order to add up this species diversity,,, just can obtain the matching degree analysis on duty of individual traffic police by contrasting with the calendar of turning out for work by traffic police's on duty behavior judgement on duty of every day.
6. based on the matching degree analysis on duty of the individual traffic police of schedule information
Police's scheduling arrangement, dispatch when sudden traffic events takes place by the dispatcher, whether obey scheduling, judge by police being carried out behavior in order to add up police, contrast with the schedule information on the same day, count individual traffic police matching degree on duty.
7. individual traffic police is on duty judges with the traffic events correlativity
Individual traffic police on duty with the traffic correlation analysis
Various traffic police on duty microscopic behavior states carry out shown in the following surface analysis algorithm of mathematical description:
Input: R
i, S
i, P, P1, P2, P3, C
S(j), C
R(j), t;
Output: microscopic behavior state on duty, on duty, temporarily leave the post, leave the post, in handling the traffic events way, handle traffic events, handle traffic events and return in the way;
1.if?R
i＝1；
The pointsman ' s behavior is ' is on duty ';
2.else?if?R
i＝0&&t＜T；
The pointsman ' s behavior is ' leaves the post temporarily ';
3.else?if?R
i＝0&&S
i＝0&&t＞T&&P＝0；
The pointsman ' s behavior is ' leaves the post ';
4.else?if?R
i＝0&&S
i＝0&&t＞T&&P＝1&&C
S(j)＝0；
The pointsman ' s behavior is ' leaves the post ';
5.else?if?R
i＝0&&S
i＝0&&P＝1&&C
S(j)＝1；
The pointsman ' s behavior is ' is in handling the traffic events way ';
6.else?if?S
i＝1&&P＝1；
The pointsman ' s behavior is ' is handling traffic events ';
7.else?ifR
i＝0&&S
i＝0&&P3＝1&&C
R(j)＝1；
The pointsman ' s behavior is ' handles traffic events and returns in the way '.
The above; only for the preferable embodiment of the present invention, but protection scope of the present invention is not limited thereto, and anyly is familiar with those skilled in the art in the technical scope that the present invention discloses; the variation that can expect easily or replacement all should be encompassed within protection scope of the present invention.Therefore, protection scope of the present invention should be as the criterion with the protection domain of claim.
Claims (4)
1. microscopic behavior analytical approach on duty of the individual traffic police 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 movement locus by the GPS geographic information data, after movement locus filtering, extract the motion sequence of certain hour, according to police's position and each the regional position correlation behavior in the GIS map, and traffic events, the state of traffic, by judgement to all kinds of individual traffic police GPS location statuss, and the judgement of traffic events and situation, determine traffic police's behavior on duty, and individual traffic police microscopic behavior on duty is divided, thereby arrange and schedule information by turning out for work in duties system and the dispatching system, final combining with traffic police's microscopic behavior judged the matching degree of task on duty.
2. according to the described individual traffic police of claim 1 microscopic behavior analytical approach on duty based on multivariate data, it is characterized in that the microscopic behavior of traffic police in process on duty is divided into: on duty, temporarily leave the post, leave the post, on the road of handling traffic events, handle traffic events, handling traffic events and returning in the way.
3. according to the described individual traffic police of claim 1 microscopic behavior analytical approach on duty based on multivariate data, it is characterized in that, described individual traffic police motion sequence on duty extracts and is meant in conjunction with the refresh rate of GPS and police's movement velocity, determines that T is the time interval.So herein for individual traffic police action sequence on duty, adopt behind one section Fixed Time Interval T, police's GPS position is as motion sequence.The motion sequence that extracts like this is exactly the location point of a series of free parameters in generalized information system.By drawing movement locus, judge the microscopic behavior individual on duty of judging the traffic police with the correlativity of relevant range.
4. according to the described individual traffic police of claim 1 microscopic behavior analytical approach on duty based on multivariate data, it is characterized in that, described individual traffic police microscopic behavior on duty judges it is after extracting individual traffic police motion sequence on duty, microscopic behavior is judged, each microscopic behavior is actually the GPS location status by the traffic police, and the state of traffic events determines.So, in fact be exactly judgement to various states for the judgement of individual traffic police behavior on duty.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN102435197A (en) * | 2011-08-05 | 2012-05-02 | 刘建勋 | MBR (Master Boot Record)-based GPS (Global Position System) track map matching method |
| CN104965974A (en) * | 2015-06-08 | 2015-10-07 | 浙江银江研究院有限公司 | Police resource deployment evaluating and optimizing method based on coverage degree |
| CN106126328A (en) * | 2016-06-24 | 2016-11-16 | 同济大学 | A kind of traffic metadata management method based on event classification and system |
| CN113593217A (en) * | 2021-06-08 | 2021-11-02 | 北京交通大学 | Traffic police force commanding and dispatching method, equipment and readable storage medium |
| CN114387700A (en) * | 2022-01-25 | 2022-04-22 | 高新兴科技集团股份有限公司 | Simulation polling method, device, medium and equipment for power equipment |
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2010
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Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102435197A (en) * | 2011-08-05 | 2012-05-02 | 刘建勋 | MBR (Master Boot Record)-based GPS (Global Position System) track map matching method |
| CN102435197B (en) * | 2011-08-05 | 2014-10-15 | 刘建勋 | MBR (Master Boot Record)-based GPS (Global Position System) track map matching method |
| CN104965974A (en) * | 2015-06-08 | 2015-10-07 | 浙江银江研究院有限公司 | Police resource deployment evaluating and optimizing method based on coverage degree |
| CN104965974B (en) * | 2015-06-08 | 2018-04-27 | 浙江银江研究院有限公司 | A kind of method assessed based on coverage and optimize police strength resource deployment |
| CN106126328A (en) * | 2016-06-24 | 2016-11-16 | 同济大学 | A kind of traffic metadata management method based on event classification and system |
| CN106126328B (en) * | 2016-06-24 | 2019-08-02 | 同济大学 | A kind of traffic metadata management method and system based on event category |
| CN113593217A (en) * | 2021-06-08 | 2021-11-02 | 北京交通大学 | Traffic police force commanding and dispatching method, equipment and readable storage medium |
| CN114387700A (en) * | 2022-01-25 | 2022-04-22 | 高新兴科技集团股份有限公司 | Simulation polling method, device, medium and equipment for power equipment |
| CN114387700B (en) * | 2022-01-25 | 2024-01-09 | 高新兴科技集团股份有限公司 | Simulation inspection method, device, medium and equipment for power equipment |
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Application publication date: 20101027 |