CN108108859A - A kind of traffic administration duties optimization method based on big data analysis - Google Patents
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Abstract
The invention discloses a kind of traffic administration duties optimization method based on big data analysis, the traffic administration duties optimization method comprises the following steps：1. by big data analysis platform, the acquisition, processing and processing of data are completed；2. carrying out COMPREHENSIVE CALCULATING using duties health index computation model, the evaluation index achievement of duties management is drawn by duties health index computation model, finds the weak link in terms of duties arrangement；3. the evaluation index achievement based on duties management with reference to the vocational work of specific test unit, forms duties prioritization scheme, the execution efficiency to promote police strength provides favourable decision-making foundation.
Description
Technical field
The present invention relates to traffic management technology field, more particularly to a kind of traffic administration duties based on big data analysis are excellent
Change method.
Background technology
With the high speed development of social economy, urban transport problems is more prominent, this brings to traffic administration functional department
Huge pressure.Lack at present a kind of by comprehensive analysis traffic big data, excavate specific traffic problems, and by these problems
The method for matching police strength deployment and duties arrangement.
The relevant data of traffic are often simply classified statistics and visualization by traditional traffic big data analysis,
There is no specific traffic administration scene is combined, carry out targetedly data intelligent and analyze.This can not just give traffic administration personnel
Efficient value information is provided in time.
Thus, it is desirable to have a kind of traffic administration duties optimization method based on big data analysis can overcome or at least mitigate
The drawbacks described above of the prior art.
The content of the invention
It is an object of the invention to provide a kind of traffic administration duties optimization method based on big data analysis, by traffic pipe
It manages effect and carries out comprehensive analysis with police strength duties arrangement, enough data supporting foundations are provided for duties optimization.
In order to achieve the above object, a kind of traffic administration duties optimization method based on big data analysis of the invention includes
Following steps：
1. by big data analysis platform, the acquisition, processing and processing of data are completed；
2. carrying out COMPREHENSIVE CALCULATING using duties health index computation model, must be turned out for work by duties health index computation model
The evaluation index achievement of business management, finds the weak link in terms of duties arrangement；
3. the evaluation index achievement based on duties management with reference to the vocational work of specific test unit, forms duties optimization
Scheme, the execution efficiency to promote police strength provide favourable decision-making foundation.
Preferably, the big data analysis platform includes：Data acquisition, basic data processing and historical data processing.
Preferably, the data acquisition is acquisition traffic, accident, illegal, meteorological, police strength historical data.
Preferably, the basic data processing is that basic information, map datum, hilllock duty route are processed；
Basic information processing is included to pilot road, mechanism, personnel, the definition of illegal grade and editor；
Map datum processing includes the map datum obtained from government organs, with reference to the progress of Internet traffic traffic information
Match somebody with somebody；
Hilllock duty route processing includes marking and drawing the hilllock duty route of city expressway detachment, liberation upright stone tablet group of Yu Zhong detachments.
Preferably, the historical data processing is to carry out data scrubbing, comparing, data turn to the historical data of acquisition
It changes and data analysis.
Preferably, the duties health index computation model is by 8 dimension Comprehensive Assessment traffic circulations, including：
Traffic congestion factor index, accident factor index, illegal factor index, meteorological factor index, police strength factor index, congestion and police
Power matching degree index, accident and police strength matching degree index and illegal and police strength matching degree index；
Traffic congestion factor index, the ratio of average once go on a journey real travel time and freestream conditions lower hourage
Value；
Accident factor index does not locate two side of ratio and ten thousand vehicle accident rates of knot accident quantity and the history same period accident quantity today
The current accident condition in city is portrayed in face；
Illegal factor index relatively portrays current illegal in city from the illegal quantity of recent accumulated weights and the history same period
Severity；
Meteorological factor index, classification and the division of traffic safety situation grade to meteorological condition, and establish matching relationship；
Police strength factor index, it is currently practical to be on duty police strength number and the plan of arranging an order according to class and grade is on duty the degree of agreement of police strength number；
Congestion and police strength matching degree index, are averaged police strength number and the history same period every thousand from current time per km congested link
The be averaged ratio of police strength number of rice congested link portrays city cur-rent congestion and police strength matching degree；
Accident and police strength matching degree index, from the average police strength number of accident number and the putting down for history same period accident at current time
The ratio of equal police strength number portrays the current accident in city and police strength matching degree；
It is illegal with police strength matching degree index, be averaged police strength number and the history same period each illegal thing from recent each illegal incidents
Part be averaged police strength number ratio it is current illegal with police strength matching degree to portray city.
Traffic administration duties optimization method disclosed by the invention based on big data analysis, seeks to hand over by comprehensive analysis
The factors such as logical congestion, traffic accident, traffic offence, meteorological condition, police strength be on duty, draw duties health index.Duties health refers to
Number, can portray the reasonability that duties are arranged work, find particular problem in time comprehensively, and most worthy is provided for duties optimization
Data supporting.
Description of the drawings：
Fig. 1 is the Technical Architecture figure of the traffic administration duties optimization based on big data analysis.
Fig. 2 is duties health index model schematic of the present invention.
Fig. 3 is traffic congestion factor calculated curve figure.
Fig. 4 is accident factor calculation formula figure.
Fig. 5 is illegal factor calculation formula figure.
Fig. 6 is police strength factor calculation formula figure.
Fig. 7 is congestion and police strength matching degree calculation formula figure.
Fig. 8 is accident and police strength matching degree calculation formula figure.
Fig. 9 is illegal and police strength matching degree calculation formula figure.
Figure 10 is duties health information billboard figure.
Figure 11 is duties optimization analysis report figure.
Specific embodiment：
To make the purpose, technical scheme and advantage that the present invention is implemented clearer, below in conjunction in the embodiment of the present invention
Attached drawing, the technical solution in the embodiment of the present invention is further described in more detail.In the accompanying drawings, identical from beginning to end or class
As label represent same or similar element or there is same or like element.Described embodiment is the present invention
Part of the embodiment, instead of all the embodiments.The embodiments described below with reference to the accompanying drawings are exemplary, it is intended to use
It is of the invention in explaining, and be not considered as limiting the invention.Based on the embodiments of the present invention, ordinary skill people
Member's all other embodiments obtained without creative efforts, belong to the scope of protection of the invention.Under
Face is described in detail the embodiment of the present invention with reference to attached drawing.
For big data analysis technology, it is necessary to build unified data back system, unification carries out data modeling, is the valency of data
Value presentation lays the foundation.Data-handling capacity is sunk simultaneously, is built the data processing centre of concentration, is provided powerful data processing
Ability；Pass through unified data management monitoring system, the stable operation of safeguards system.There is data basis, build unified BI
Using center, meet business demand, embody data value.
It is used as the message management layer of unified acquisition platform by Kafka, flexibly docks, is adapted to various data source acquisitions
(such as integrated flume), provides flexible, configurable data acquisition ability.Using spark and hadoop technologies, big data is built
The storage of the basic data of platform core the most, processing capacity center, provide powerful data-handling capacity, meet the friendship of data
Mutual demand.Simultaneously by sparkstreaming, it can effectively meet the requirement of enterprise real-time data, build the reality of enterprise development
When index system.
Simultaneously for the data acquisition demand better met, by RDBMS, the statistical number that enterprise highly summarizes is provided
According to meeting the statistical report form demand of enterprise's routine, reduce and use threshold.To big data detail query demand, then pass through structure
HBase clusters provide big data quick search ability, meet the inquiry to big data and obtain demand.
In general, data scrubbing is to simplify database to remove deduplication record, and remainder is made to be converted into standard
The process of form can be received.Data scrubbing master pattern is to enter data into data scrubbing processor, passes through series of steps
" cleaning " data, the data then cleared up with the output of desired form.Data scrubbing is from the accuracy of data, integrality, one
Cause property, uniqueness, timeliness, the several aspects of validity come handle the missing value of data, more dividing value, inconsistent code, repeat number
According to the problems such as.
Data scrubbing is difficult to conclude unified method and steps generally directed to concrete application, but according to data not
It is same to provide corresponding data clearing method.
(1) method for solving deficiency of data
In most cases, the value of missing must be inserted (i.e. manual cleanup) by hand.Certainly, some missing values can be from this
Data source or other data sources derive that this can use average value, maximum, minimum value or increasingly complex probability Estimation
Instead of the value of missing, so as to achieve the purpose that cleaning.
(2) detection of error value and solution method
Identify possible error value or exceptional value with the method for statistical analysis, such as variance analysis, identification do not abide by distribution or
The value of regression equation can also use simple rule storehouse (common-sense rule, business ad hoc rules etc.) to check data value or using not
Data are detected and clear up with constraining between attribute, external data.
(3) detection and the removing method of record are repeated
In database the identical record of property value be considered as repeat record, by judge record between property value whether phase
Whether equal etc. to detect record, equal record merges into a record (i.e. merging/removing).Merging/removing disappears heavy
Basic skills.
(4) detection of inconsistency (inside data source and between data source) and solution method
The data integrated from multi-data source may have semantic conflict, can define integrity constraint for detecting inconsistency,
Also contact can be found by analyzing data, so that data are consistent.
As shown in Figure 1, the traffic administration duties optimization method based on big data analysis, particular technique implementation, are first
First pass through big data analysis platform, complete the acquisition, processing and processing of data, then using duties health index computation model into
Row COMPREHENSIVE CALCULATING, data analysis and evaluation achievement based on duties management, with reference to the vocational work experience of specific test unit, energy
The stronger duties prioritization scheme of specific aim is enough formed, the execution efficiency to promote police strength provides best decision-making foundation；Pass through
Duties health index computation model can be derived that a series of evaluation index achievement of duties management, in terms of finding duties arrangement
Weak link.
As shown in Fig. 2, duties health index computation model is from eight dimension Comprehensive Assessment traffic circulations, wherein five
Factor index is used for showing objective traffic；The other three index is used for the match condition for showing each traffic factor and police strength.
The weighted average of this eight dimensions is duties health index integrated value.
As shown in figure 3, traffic congestion factor index defines：It is average once to go on a journey under real travel time and freestream conditions
The ratio of hourage.Traffic administration person and traffic participant can by traffic congestion factor index, obtain system-wide net or
The traffic behavior of Regional Road Network to adopt an effective measure in time, reduces the generation of congestion.The index score is lower, then currently
The traffic congestion situation of road network is more serious, and average travel institute is time-consuming more.
As shown in figure 4, accident factor index, definition：The ratio of knot accident quantity and history same period accident quantity is not located today
The current accident condition in city is portrayed with ten thousand vehicle accident rates, two aspect.If current accident condition maintains an equal level with the history same period,
It is scored at 80.If accident quantity is fewer, score is higher, conversely, then score is lower.
As shown in figure 5, illegal factor index, relatively city is portrayed from the illegal quantity of recent accumulated weights and the history same period
Current illegal severity.If the illegal quantity of accumulated weights maintains an equal level with the history same period, 80 are scored at.If illegal quantity
Fewer, then score is higher, conversely, then score is lower.
Meteorological factor index, according to GA/T 960-2011《Highway traffic safety Situation Assessment specification》In to meteorological condition
Classification and traffic safety situation grade division.Meteorological factor is by five mist, rain, wind, frost, snow factors compositions.Each factor
There are five grade, corresponding different fraction, i.e. 10.0 points of V grades, 9.0 points of IV grades, III level 8.0 are divided, 7.0 points of II grades, I grades 6.0
Point.V grades represent that weather condition is best.When the grade for having at least one factor is I grades (6.0 points), meteorological factor index is equal to
6.0 point.If in five factors, there is not grade, then five factor weighted averages；
It is currently practical to be on duty police strength number and the plan of arranging an order according to class and grade is on duty the identical journey of police strength number as shown in fig. 6, police strength factor index
Degree, when actually policeman on point duty's power number and plan be on duty police strength number it is equal when, the index score 10.0.With actually policeman on point duty's power number with
Plan the police strength number difference bigger (being more or less than) that is on duty, the index score is lower.
As shown in fig. 7, congestion and police strength matching degree index, police strength number is averaged with going through from current time per km congested link
Be averaged per the km congested link ratio of police strength number of the history same period portrays city cur-rent congestion and police strength matching degree.If cur-rent congestion
Maintain an equal level with police strength and the history same period, be then scored at 8.0.If more per km congested link police strength number, score is higher, instead
It, then score is lower.
As shown in figure 8, accident and police strength matching degree index, same from the average police strength number and history of the accident number at current time
The ratio of the average police strength number of phase accident portrays the current accident in city and police strength matching degree, if current accident and police strength and history
The same period maintains an equal level, then is scored at 8.0.If do not located each, knot accident police strength number is more, and score is higher, conversely, then score is lower.
As shown in figure 9, illegal and police strength matching degree index, is averaged police strength number and the history same period from recent each illegal incidents
The be averaged ratio of police strength number of each illegal incidents portrays the current illegal and police strength matching degree in city.If it is illegal in the recent period with police strength with
The history same period maintains an equal level, then is scored at 8.0.If each illegal incidents police strength number is more, score is higher, conversely, then score is got over
It is low.
Each level of factor value by following weight definition, carries out COMPREHENSIVE CALCULATING, draws the final result of duties health index
Value.Weight proportion distributes, as shown in 1 traffic factor weight proportion allocation table of table：
| Sequence number | Subindex | Weight |
| 1 | The congestion factor | 10% |
| 2 | The accident factor | 8% |
| 3 | The illegal factor | 10% |
| 4 | Meteorological factor | 10% |
| 5 | The police strength factor | 7% |
| 6 | Congestion and police strength matching degree index | 15% |
| 7 | Accident and police strength matching degree index | 20% |
| 8 | Illegal and police strength matching degree index | 20% |
Duties health index composite score value, is divided into four appraisement system grades, such as 2 duties health index score value grade of table
It divides shown in table：
| It is excellent | 8.5-10 |
| It is good | 7-8.5 |
| In | 4-7 |
| Difference | 0-4 |
Table 2
Big data analysis platform completes data acquisition, basic data processing and historical data processing.
(1) data acquisition
The algorithm model of the present invention needs traffic, accident, illegal, meteorological, police strength historical data, we acquire
Chongqing City through street detachment and the relevant historical data of Yu Zhong detachments liberation upright stone tablet group nearly half a year (in May, 2017-October), are adopted
It is as shown in the table to collect data volume situation：
3 gathered data item information table of table
The basic data processing is that basic information, map datum, hilllock duty route are processed；
Basic information processing is included to pilot road, mechanism, personnel, the definition of illegal grade and editor；
Map datum processing includes the map datum obtained from government organs, with reference to the progress of Internet traffic traffic information
Match somebody with somebody；
Hilllock duty route processing includes marking and drawing the hilllock duty route of city expressway detachment, liberation upright stone tablet group of Yu Zhong detachments.
Historical data processing is to carry out data scrubbing, comparing, data conversion and data point to the historical data of acquisition
Analysis.
Evaluation index achievement passes through the processing point to 5-10 month history big datas in 2017 according to duties health index model
Analysis, we tentatively draw the duties health indicator achievement of test unit.
1) road duties health index ranking
It is evaluated based on historical data COMPREHENSIVE CALCULATING, whole day to city expressway detachment and liberation upright stone tablet group administrative road,
Morning peak, the duties health index of evening peak have carried out COMPREHENSIVE CALCULATING and ranking.
| Ranking | Road name | Duties health index |
| 1 | G93 charge stations are to high beachrock | 8.58 |
| 2 | South Mountain grade separation is to five osmanthus grade separations | 8.49 |
| 3 | Five osmanthus grade separations are to people and grade separation | 8.21 |
| 4 | Ba Nan grade separations are to tea place grade separation | 8.12 |
| 5 | Grade separation is to Ba Nan grade separations in phoenix | 8.08 |
| 6 | Tea place grade separation is to South Mountain grade separation | 8.05 |
| 7 | Supreme beachrock grade separation in phoenix | 7.99 |
| 8 | High beachrock grade separation is to stone horse river grade separation | 7.99 |
| 9 | Stone horse river grade separation is to people and grade separation | 7.98 |
The road duties health index overall ranking of 4 city expressway detachments of table
| Ranking | Road name | Duties health index |
| 1 | Huanghuayuan bridge | 8.9 |
| 2 | Orpiment tunnel | 8.81 |
| 3 | Young road | 8.75 |
| 4 | People's livelihood road | 8.58 |
| 5 | North road | 8.16 |
| 6 | Chinese road | 8.09 |
| 7 | Wuyi Road | 8.01 |
| 8 | Road near a river | 7.91 |
| 9 | The May 4th road | 7.83 |
| 10 | Xinhua Lu | 7.64 |
| 11 | Bayi Road | 7.55 |
Table 5 liberates the road duties health index overall ranking of upright stone tablet group
2) duties health comprehensive analysis is reported
It is evaluated based on historical data COMPREHENSIVE CALCULATING, the duties of the administrative road of city expressway detachment and liberation upright stone tablet group is good for
Health index and subitem index have carried out the calculating of half an hour granularity, including duties health index, the congestion factor, the accident factor, disobey
The method factor, the police strength factor, meteorological factor, congestion and police strength matching degree, accident and police strength matching degree, it is illegal with police strength matching degree,
Congestion index, accident quantity, illegal quantity, police strength quantity.
3) duties health daily paper
The duties of the administrative road half a year in past (in May, 2017-October) of city expressway detachment and liberation upright stone tablet group are good for
The daily paper statistics of health index half an hour granularity.
4) duties health information billboard
As shown in Figure 10, the present invention, including curve, block diagram etc., duties health is referred to by way of visualization interface
Mark evaluation result is more intuitively showed, while report result can be verified.
5) duties matching degree is evaluated
For different roads, each traffic factor, the matching degree including congestion, accident, illegal etc. with police strength is duties health
The core of exponential model.Matching degree is as a result, be to weigh the rational important evidence of duties.
6) duties prioritization scheme
Duties prioritization scheme, as shown in figure 11, the present invention by model regions, by nearest half a year traffic congestion, it is illegal,
Accident, meteorological big data analysis carry out comprehensive computing based on duties health index model, assess the synthesis of each factor and police strength
Matching relationship forms duties health index evaluation result and optimization analysis report.It, can with reference to the traffic administration experience of model regions
To propose more reasonably to configure suggestion to police strength configuration, hilllock diligent time, hilllock duty position.Can be that duties scheduling carries by the present invention
For actual combatization treatment tool and intelligent decision support, reach global control, the allotment of optimization police strength, quick decision-making, cooperative disposal,
The purpose precisely dispatched.
Obviously, the above embodiment of the present invention is only intended to clearly illustrate example of the present invention, and is not to this
The restriction of the embodiment of invention.It for those of ordinary skill in the art, on the basis of the above description can be with
It makes other variations or changes in different ways.There is no necessity and possibility to exhaust all the enbodiments.And these belong to
It is still in the protection scope of this invention in the obvious changes or variations that the spirit of the present invention is extended out.
Claims (6)
1. a kind of traffic administration duties optimization method based on big data analysis, which is characterized in that comprise the following steps：
1. by big data analysis platform, the acquisition, processing and processing of data are completed；
2. carrying out COMPREHENSIVE CALCULATING using duties health index computation model, duties pipe is drawn by duties health index computation model
The evaluation index achievement of reason finds the weak link in terms of duties arrangement；
3. the evaluation index achievement based on duties management with reference to the vocational work of specific test unit, forms duties prioritization scheme,
Execution efficiency to promote police strength provides favourable decision-making foundation.
2. the traffic administration duties optimization method according to claim 1 based on big data analysis, it is characterised in that：It is described
Big data analysis platform includes：Data acquisition, basic data processing and historical data processing.
3. the traffic administration duties optimization method according to claim 2 based on big data analysis, it is characterised in that：It is described
Data acquisition is acquisition traffic, accident, illegal, meteorological, police strength historical data.
4. the traffic administration duties optimization method according to claim 2 based on big data analysis, it is characterised in that：It is described
Basic data processing is that basic information, map datum, hilllock duty route are processed；
Basic information processing is included to pilot road, mechanism, personnel, the definition of illegal grade and editor；
Map datum processing includes the map datum obtained from government organs, is matched with reference to Internet traffic traffic information；
Hilllock duty route processing includes marking and drawing the hilllock duty route of city expressway detachment, liberation upright stone tablet group of Yu Zhong detachments.
5. the traffic administration duties optimization method according to claim 2 based on big data analysis, it is characterised in that：It is described
Historical data processing is to carry out data scrubbing, comparing, data conversion and data analysis to the historical data of acquisition.
6. the traffic administration duties optimization method according to claim 1 based on big data analysis, it is characterised in that：It is described
Duties health index computation model by 8 dimension Comprehensive Assessment traffic circulations, including：Traffic congestion factor index, thing
Therefore factor index, illegal factor index, meteorological factor index, police strength factor index, congestion and police strength matching degree index, accident with
Police strength matching degree index and illegal and police strength matching degree index；
Traffic congestion factor index, the ratio of average once go on a journey real travel time and freestream conditions lower hourage；
Accident factor index, the ratio and ten thousand vehicle accident rates, two aspect for not locating knot accident quantity and the history same period accident quantity today come
Portray the current accident condition in city；
Illegal factor index relatively portrays current illegal serious in city from the illegal quantity of recent accumulated weights and the history same period
Degree；
Meteorological factor index, classification and the division of traffic safety situation grade to meteorological condition, and establish matching relationship；
Police strength factor index, it is currently practical to be on duty police strength number and the plan of arranging an order according to class and grade is on duty the degree of agreement of police strength number；
Congestion and police strength matching degree index, being averaged from current time every km congested link, police strength number with the history same period often gather around by km
The ratio of road-section average police strength number is blocked up to portray city cur-rent congestion and police strength matching degree；
Accident and police strength matching degree index, from the average police strength number of the accident number at current time and the average police of history same period accident
The ratio of power number portrays the current accident in city and police strength matching degree；
It is illegal with police strength matching degree index, put down from recent each illegal incidents police strength number that is averaged with the history same period each illegal incidents
The ratio of equal police strength number is current illegal with police strength matching degree to portray city.
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