CN106781487B - Road fixed detector lays type choosing method - Google Patents
Road fixed detector lays type choosing method Download PDFInfo
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- CN106781487B CN106781487B CN201611240682.9A CN201611240682A CN106781487B CN 106781487 B CN106781487 B CN 106781487B CN 201611240682 A CN201611240682 A CN 201611240682A CN 106781487 B CN106781487 B CN 106781487B
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
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Abstract
The invention discloses a kind of road fixed detectors to lay type choosing method, belongs to technical field of control over intelligent traffic, and method includes obtaining fixed detector to lay the evaluation index that type is chosen；Evaluation index is standardized based on preset standardization processing method, obtains the standardized value of evaluation index；Based on preset index weights calculation method, the weighted value of Calculation Estimation criterion value；According to the weighted value of evaluation index standardized value, it is based on decision tree theory model, determines the selection result of fixed detector type.By choosing representative evaluation index in every evaluation index of fixed detector, by being once standardized to evaluation index, index weights calculation processing, the selection of each type of fixed detector is finally obtained based on decision tree theory model as a result, providing accurate, reliable, real-time effective theoretical foundation for the selection that urban road fixed detector lays type.
Description
Technical field
The present invention relates to technical field of control over intelligent traffic, in particular to a kind of road fixed detector is laid type and is chosen
Method.
Background technique
Currently, the type for the fixed detector that urban road is laid both at home and abroad includes the inspection such as microwave, video, earth magnetism, coil
Device is surveyed, the traffic parameter that these fixed detectors can detect includes the ginseng such as vehicle vehicle, speed, vehicle flowrate and occupation rate
Number, these traffic parameters can control for city and provide data foundation with management, can match with equipment such as advices plate, traffic signaling equipments
It closes, coordinates the control and guidance of global or local traffic, so as to improve traffic order, the passage energy of the existing means of transportation of increase
Power reduces traffic accident.These data also can be traffic behavior evaluation, traffic congestion detection, intelligent travel guidance, traffic signals
Control and intelligent comprehensive traffic control etc. provide basic data support.
But the type of existing fixed detector is complicated, it is how scientific and reasonable during urban road is laid
Choose fixed detector type, for city traffic control and management provide stable, reliable, effective data source be realization
Municipal intelligent traffic control and management institute's urgent problem.
Summary of the invention
The purpose of the present invention is to provide a kind of road fixed detectors to lay type choosing method, and this method can be in city
In road the procedures of establishment, the type of selection fixed detector that can be scientific and reasonable.
In order to achieve the above object, the technical solution adopted by the present invention are as follows: provide a kind of road fixed detector type laying
Choosing method, this method comprises:
It obtains fixed detector and lays the evaluation index that type is chosen；
Evaluation index is standardized based on preset standardization processing method, obtains the standardization of evaluation index
Value；
Based on preset index weights calculation method, the weighted value of Calculation Estimation criterion value；
According to the weighted value of evaluation index standardized value, it is based on decision tree theory model, determines fixed detector type
Choose result.
Compared with prior art, there are following technical effects by the present invention: the present invention is commented by the items in fixed detector
Representative evaluation index is chosen in valence index, by being once standardized to evaluation index, index weights meter
Calculation processing, finally obtains the selection result of each type of fixed detector based on decision tree theory model.This method is city
Accurate, reliable, real-time effective theoretical foundation that the selection that road fixed detector lays type provides.
Detailed description of the invention
Fig. 1 is the flow diagram that road fixed detector type lays choosing method in one embodiment of the invention；
Fig. 2 is to choose fixed detector type schematic diagram using decision tree theory model in one embodiment of the invention.
Specific embodiment
Below with reference to shown in Fig. 1 to Fig. 2, the present invention is described in further detail.
As shown in Figure 1, present embodiment discloses a kind of road fixed detector types to lay choosing method, this method includes
Following steps S1 to S4:
S1, the evaluation index that fixed detector lays type selection is obtained；
S2, evaluation index is standardized based on preset standardization processing method, obtains the mark of evaluation index
Quasi-ization value；
S3, preset index weights calculation method, the weighted value of Calculation Estimation criterion value are based on；
S4, fixed detector type is determined based on decision tree theory model according to the weighted value of evaluation index standardized value
Selection result.
Specifically, the preset standardization processing method in step S2 is grade scoring method.
Specifically, the preset index weights calculation method in step S3 is expert method.
It should be noted that grade scoring method and expert method at this are by way of example only, those skilled in the art
Member can select other standardization processing methods and index weights calculation method according to the actual situation.
Specifically, the evaluation index in above-described embodiment include the accuracy of fixed detector, stability, the time limit, installation/
Safeguard complexity and cost.
Wherein, the calculation formula of the accuracy of fixed detector are as follows:Here
The accuracy of fixed detector includes velocity accuracy, flow accuracy, the accuracy of occupancy accuracy detection parameters.
Here fixed detector detected value refers to the data detected by detectors such as microwave, video, earth magnetism, coils,
It counts obtained standard value and refers to the data manually counted by auxiliary video record.For example, the calculating of velocity accuracy
Formula are as follows:AVFor velocity accuracy, VDetected valueFor speed detection value, VStandard valueFor velocity standard value.Flow
The calculation formula of accuracy isAQFor flow accuracy, QDetected valueFor flow detection value, QStandard valueFor flow
Standard value.The calculation formula of occupancy accuracy are as follows:AOFor occupancy accuracy, ODetected valueTo occupy
Rate detected value, OStandard valueFor occupancy standard value.What needs to be explained here is that the fixed detector accuracy in the present embodiment includes
By way of example only, those skilled in the art can utilize this implementation for velocity accuracy, flow accuracy and occupancy accuracy
The calculation of accuracy disclosed in example calculates the accuracy of other detection parameters.
Specifically, the calculation formula of the stability of fixed detector are as follows:
Wherein, KjThe stability of jth type vehicle is detected for fixed detector,For fixed detector
Detect the standard deviation of the coefficient of correlation of jth type vehicle, fjIt (m) is the coefficient of correlation of fixed detector the m days detection jth type vehicles,
The correction factor of jth type vehicle is detected for fixed detector, m, j take constant.
It should be noted that the stability of fixed detector indicates the accuracy for the data that fixed detector detects at any time
Between variation and the ability that remains unchanged, the ability of such fixed detector confrontation extraneous factor can be characterized, needed according to a large amount of
Fixed detector data analyzed to obtain.
It should also be noted that, carrying out assignment to every evaluation index standardized value using expert method in the present embodiment.It assigns
Value is as shown in table 1:
Table 1
Claims (4)
1. a kind of road fixed detector type lays choosing method, which comprises the steps of:
S1, the evaluation index that fixed detector lays type selection is obtained, the evaluation index includes the standard of fixed detector
Exactness, stability, the time limit, installation/maintenance complexity and cost；
S2, evaluation index is standardized based on preset standardization processing method, obtains the standardization of evaluation index
Value；
S3, preset index weights calculation method, the weighted value of Calculation Estimation criterion value are based on；
S4, the choosing of fixed detector type is determined based on decision tree theory model according to the weighted value of evaluation index standardized value
Take result；
Wherein, the calculation formula of the stability of fixed detector are as follows:
Wherein, KjThe stability of jth type vehicle is detected for fixed detector,For fixed detector detection
The standard deviation of the coefficient of correlation of jth type vehicle, fjIt (m) is the coefficient of correlation of fixed detector the m days detection jth type vehicles,It is solid
Determine the correction factor of detector detection jth type vehicle, m, j take constant.
2. the method as described in claim 1, which is characterized in that preset standardization processing method in the step S2 is etc.
Grade marking system method.
3. the method as described in claim 1, which is characterized in that the preset index weights calculation method in the step S3 is
Expert method.
4. method according to claim 2, which is characterized in that the calculation formula of the accuracy of the fixed detector are as follows:
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| CN108198414A (en) * | 2017-12-27 | 2018-06-22 | 北斗七星（重庆）物联网技术有限公司 | A kind of method, apparatus, equipment and the storage medium of road monitoring point position distribution |
| CN110930694B (en) * | 2019-11-06 | 2020-12-04 | 浙江大华技术股份有限公司 | Traffic detector layout scheme generation method, computer system, and storage medium |
| CN111833110A (en) * | 2020-07-23 | 2020-10-27 | 北京思特奇信息技术股份有限公司 | Customer life cycle positioning method and device, electronic equipment and storage medium |
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| US8706458B2 (en) * | 2011-10-05 | 2014-04-22 | International Business Machines Corporation | Traffic sensor management |
| CN103489316B (en) * | 2013-09-10 | 2016-05-18 | 同济大学 | A kind of network traffic flow detector distribution method based on road network topology relation |
| CN104332051B (en) * | 2014-10-31 | 2016-11-09 | 重庆大学 | Urban road RFID detector optimizes distribution method |
| CN105654720B (en) * | 2016-01-21 | 2018-06-29 | 浙江大学 | Loop detector layout method based on urban road congestion identification |
| CN105844038B (en) * | 2016-03-31 | 2019-02-05 | 东南大学 | A kind of highway polymorphic type traffic detector Combinatorial Optimization distribution method |
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