CN106683442A - Multi-index based intersection signal timing plan evaluation method - Google Patents
Multi-index based intersection signal timing plan evaluation method Download PDFInfo
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- CN106683442A CN106683442A CN201611240655.1A CN201611240655A CN106683442A CN 106683442 A CN106683442 A CN 106683442A CN 201611240655 A CN201611240655 A CN 201611240655A CN 106683442 A CN106683442 A CN 106683442A
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/07—Controlling traffic signals
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/07—Controlling traffic signals
- G08G1/08—Controlling traffic signals according to detected number or speed of vehicles
Abstract
The invention provides a multi-index based intersection signal timing plan evaluation method, which belongs to the field of traffic control technology. The method comprises the steps of collecting traffic parameters generated by running a current signal timing plan and selecting a plurality of evaluation indexes in the traffic parameters; based on a preset normalization function, subjecting the plurality of evaluation indexes to normalization to obtain corresponding evaluation index values; based on a preset evaluation index weight algorithm, calculating weight values of the plurality of evaluation indexes; and obtaining the evaluation result of the intersection signal timing plan based on the plurality of evaluation index values and the weight values of the plurality of evaluation indexes. By the use of the plurality of independent and uncrossed evaluation indexes, and by normalization of the various evaluation indexes to eliminate the problems caused by differences in the dimension, the authenticity of problems in the signal timing plan that are reflected by the various evaluation indexes is improved, and with combination of the weight value of each index, the obtained evaluation result of the signal timing plan can be very accurate.
Description
Technical field
The present invention relates to technical field of traffic control, more particularly to a kind of intersection signal timing scheme based on multi objective
Evaluation methodology.
Background technology
At present, the situation of urban transportation increasingly congestion enjoys social concerns, brings unprecedented to urban traffic control
Pressure, and the traffic of crossing can be had using intersection signal timing scheme in the management of urban road intersection
The regulation and control of effect, thus the effect of Traffic Signal Timing design is increasingly notable.However, current timing scheme is normal in practical application Jing
Some problems occur, causes intersection traffic efficiency not high.Therefore need to traffic signal with evaluating, so as to root
Process is optimized to timing scheme according to evaluation result.
At present, modeling and simulating evaluation is generally comprised to the method that Traffic Signal Timing scheme is evaluated and by actual measurement
Traffic parameter evaluating signal time distributing conception.But existing evaluation methodology still suffers from more obvious defect：One
Be the intersection traffic flow model set up in modeling and simulating evaluation methodology be Utopian, and the intersection oral sex of reality
Through-flow meeting is disturbed by many factors, therefore, the result drawn by modeling and simulating evaluation methodology can accurately not reflect
The applicable cases of actual Traffic Signal Timing.Two are, signal time distributing conception is evaluated by the traffic parameter surveyed
Method, without in combination with the Traffic Signal Timing scheme of real-time change, it is impossible to dynamically evaluate the effect of signal time distributing conception
Really.
The content of the invention
It is an object of the invention to provide a kind of intersection signal timing schemes evaluation method based on multi objective, to solve
The inaccurate problem of existing signal time distributing conception evaluation methodology.
To realize object above, the technical solution used in the present invention is：A kind of intersection signal based on multi objective is provided
Timing schemes evaluation method, the method comprises the steps：
The traffic parameter for producing is run to current demand signal timing scheme to be acquired, and multiple commenting is selected in traffic parameter
Valency index；
Based on default normalization function, multiple evaluation indexes are standardized, obtain corresponding multiple evaluations
Desired value；
Based on default evaluation index Weights-selected Algorithm, the weighted value of multiple evaluation indexes is calculated；
According to multiple evaluation index values and the weighted value of multiple evaluation indexes, commenting for intersection signal timing scheme is obtained
Valency result.
Compared with prior art, there is following technique effect in the present invention：The present invention is Uncrossed by using separate
Multiple evaluation indexes, and each evaluation index is standardized to eliminate the problem caused because dimension is different, improve each
The verity of the problem that individual evaluation index reflection signal time distributing conception is present, while calculating the weighted value of each evaluation index, table
Impact of bright each evaluation index in current demand signal timing scheme, refers to finally by each evaluation index value and each evaluation
The evaluation result of the calculated signal time distributing conception of mark weighted value can really reflect the problem that signal time distributing conception is present,
The signal time distributing conception evaluation result for obtaining is very accurate.
Description of the drawings
Fig. 1 is that a kind of flow process of intersection signal timing schemes evaluation method based on multi objective in an embodiment is illustrated
Figure；
Fig. 2 is that the flow process of another kind of intersection signal timing schemes evaluation method based on multi objective in an embodiment is illustrated
Figure；
Fig. 3 is the schematic flow sheet of the fine division step of step S3 in an embodiment.
Specific embodiment
With reference to Fig. 1 to Fig. 3, the present invention is described in further detail.
As shown in figure 1, a kind of intersection signal timing schemes evaluation method based on multi objective is present embodiments provided, should
Method comprises the steps S1 to S4：
S1, the traffic parameter to the operation generation of current demand signal timing scheme are acquired, and select in traffic parameter many
Individual evaluation index；
Specifically, the traffic parameter of the present embodiment can be acquired by fixed detector, be selected in traffic parameter
The standard of multiple evaluation indexes be selected multiple evaluation indexes be it is separate, it is Uncrossed, with ensure to signal timing dial
The evaluation of scheme is more objective and accurate.
S2, based on default normalization function, multiple evaluation indexes are standardized, obtain corresponding multiple comment
Valency desired value；
S3, based on default evaluation index Weights-selected Algorithm, calculate the weighted value of multiple evaluation indexes；
S4, according to multiple evaluation index values and the weighted value of multiple evaluation indexes, obtain intersection signal timing scheme
Evaluation result.
Specifically, the multiple evaluation indexes for selecting in step S1 include time headway, queue length and intersection delay.
It should be noted that time headway (Time headway) refers to the vehicle platoon travelled on same track
In, two continuous vehicle headstock ends typically represent that unit is s/Veh by the time interval of a certain section with ht.Time headway
Obtained by geomagnetism detecting device detection.Time headway to detecting asks arithmetic mean of instantaneous value that average headway is obtained.
Crossing queue length is most important for the evaluation of intersection signal timing control strategy and effect, the present embodiment
Used as queue length, a period of time after starting corresponding to green light, evanescent wave reaches the middle farthest length being actually reached of queuing up
Tail of the queue moment queue length, the queue length of crossing can be gathered by video detector.
Intersection delay is divided into approach delay and the delay of crossing intramural conflict, and signal timing dial is to affect intersection delay
Principal element, average vehicle delay can reflect intersection service level.Intersection delay can be counted by FCD data
Calculate, with vehicle deceleration line as border, four entrance driveway deceleration line area defined are the scope of crossing, and vehicle is actual to be passed through
The time of two deceleration lines is deducted vehicle and is prolonged by the crossing that the difference of the time of two deceleration lines is vehicle with the speed that passes unimpeded
By mistake.By in a period of time, the vehicle delay in generally 5min is added divided by total vehicle number, you can obtain averagely prolonging for vehicle
By mistake, computing formula isIn formula,For the mean delay of crossing, dpFor the delay of crossing pth vehicle, Q
For the total quantity of intersection vehicles.
Time headway, queue length and these three evaluation indexes of intersection delay selected in the present embodiment are mutually only
It is vertical, not intersect each other, those skilled in the art can select other many according to the principle of selection evaluation index in the present embodiment
Individual evaluation index.
As shown in Fig. 2 providing another kind of intersection signal timing scheme evaluation side based on multi objective in the present embodiment
Method, the method in the above-described embodiments the step of S1 before also comprise the steps S01 to S04：
The traffic flow that S01, each entrance driveway in collection crossing are respectively flowed to；
S02, the traffic flow respectively flowed to according to each entrance driveway in crossing and default intersection traffic condition discrimination table, really
Determine the current traffic behavior in crossing；
S03, the canalization information based on crossing, call in the signal timing dial algorithm under default different traffic with
Corresponding signal timing dial algorithm under current traffic condition；
S04, according to the signal timing dial algorithm under current traffic condition, signal time distributing conception is optimized current to obtain
Optimal Signals timing scheme under traffic behavior.
Different traffic behaviors respectively enters to there is different signal timing dial algorithms according to collection road crossing in the present embodiment
The traffic flow that mouth road is respectively flowed to calculates the current traffic behavior in crossing, then according to current traffic behavior, calls
Corresponding signal timing dial algorithm, is optimized to signal time distributing conception and has obtained current signal time distributing conception.Greatly improve
The effect of optimization of signal time distributing conception.The dividing condition of intersection traffic state is referring to table 1 in the present embodiment：
Table 1
| Traffic behavior | Freely flow | It is unimpeded | Busy state | Congestion status |
| Saturation | <0.5 | 0.5~0.7 | 0.7~0.85 | >0.85 |
The traffic behavior of crossing is differentiated that the saturation of the crossing in the present embodiment adopts respectively to enter using saturation
The maximum saturation that mouth road is respectively flowed to, even if concrete formula is as follows：
In formula, η is intersection saturation degree, ηijFor the saturation of crossing the i-th entrance driveway jth flow direction.
Specifically, gather in step S1 in the present embodiment be it is current it is optimised after signal time distributing conception operation produce
Raw parameter, in combination with real-time Traffic Signal Timing scheme, can evaluate real-time Traffic Signal Timing scheme, and
More evaluation result is optimized to obtain the signal time distributing conception of optimum to signal time distributing conception.
Specifically, in step S2, default normalization function is specially：
Wherein, aiFor the evaluation index value of i-th evaluation index, diFor the threshold value of the i-th evaluation index, di=[mi,Mi], xi
For the actual value of i-th evaluation index, mi、MiThe minima of i-th evaluation index, maximum in the period of history are taken respectively.Need
It is noted that can be i by multiple evaluation indexes numbering at this, i is constant, and 1≤i≤N, N are the number of evaluation index.
Explanation is needed exist for, typically by lookup data or derivation parameter value, each evaluation index can have
There is different implication, thus it is different to each evaluation meeting target calculation, thus its dimension is also different, so can cause
The evaluation made is inaccurate.Standardization is made to each evaluation index in the present embodiment, can eliminate what is caused because dimension is different
Problem, makes the more true and accurate of the evaluation to signal time distributing conception.
Specifically, the step of above-described embodiment in S3, default evaluation index Weights-selected Algorithm include analytic hierarchy process (AHP) and/
Or expert method.
The weight of each evaluation index individually can be determined in the present embodiment using analytic hierarchy process (AHP) or expert method, also may be used
So that analytic hierarchy process (AHP) and expert method to be used in combination the weight for determining each evaluation index.The present embodiment is by analytic hierarchy process (AHP) and expert
Method is used in combination as the preferred version of the present embodiment, and concrete application process is as shown in Figure 3：Step S3 is specifically included：
S31, based on default analytic hierarchy process (AHP) and expert method, the weighted value of multiple evaluation indexes is calculated respectively；
S32, will be averaging based on the weighted value of analytic hierarchy process (AHP) and expert method calculated multiple evaluation indexes respectively
Value, respectively obtains the weighted value of each evaluation index under current traffic condition.
Analytic hierarchy process (AHP) (AHP methods) is a kind of simple and effective method.Application level analytic process solve problem
Thinking is：First by the problem stratification to be analyzed, according to the property and the target to be reached of problem, by PROBLEM DECOMPOSITION for not
Same compositing factor, according to influencing each other its hierarchical cluster combination with membership between factor, forms one at many levels
Structural model.Finally problem is attributed to into sequence of the bottom (solution layer) relative to the comparative advantages of top (general objective)
Problem.
Expert method is the prediction suggestion that panellists are seeked the opinion of using back-to-back communication mode, is seeked the opinion of through several wheels,
The prediction suggestion for making panel of expert tends to concentrating, and finally makes the prediction conclusion for meeting market future developing trend.This method
Advantage it is mainly simple and easy to do, with certain scientific and practicality.
The result of Comprehensive analytic hierarchy process and expert method, the weight obtained by two methods is averaging, you can obtain each
The weighted value of different evaluation index under traffic behavior, ginseng is shown in Table 2：
Table 2
| Freely flow | It is unimpeded | Busy state | Congestion status | |
| Time headway | 0.68 | 0.65 | 0.12 | 0.08 |
| Queue length | 0.10 | 0.10 | 0.63 | 0.70 |
| Intersection delay | 0.22 | 0.25 | 0.25 | 0.22 |
In the present embodiment, it is used in combination chromatographic assays and expert method to determine the weighted value of indices so that weight
Worth determination is more scientific and reasonable, and calculates the weighted value of the every evaluation index under different traffic behaviors respectively, can
To evaluate the effect of current demand signal timing scheme using the weighted value of the indices under current traffic condition, therefore, evaluate
Effect is more objective and accurate.
Specifically, in step S4, the calculation of the evaluation result of intersection signal timing scheme, specially：
Wherein, a be intersection signal timing scheme evaluation result, ai' for the weighted value of the i-th evaluation index, N refers to for evaluation
Target number.
Specifically, the every evaluation index in the present embodiment is preferably average headway, queue length and crossing
Mean delay.The service level of crossing can more accurately be reflected using average headway, crossing mean delay.
Claims (8)
1. a kind of intersection signal timing schemes evaluation method based on multi objective, it is characterised in that comprise the steps：
S1, the traffic parameter to the operation generation of current demand signal timing scheme are acquired, and multiple commenting are selected in traffic parameter
Valency index；
S2, based on default normalization function, multiple evaluation indexes are standardized, obtain it is corresponding it is multiple evaluation refer to
Scale value；
S3, based on default evaluation index Weights-selected Algorithm, calculate the weighted value of multiple evaluation indexes；
S4, according to multiple evaluation index values and the weighted value of multiple evaluation indexes, obtain commenting for intersection signal timing scheme
Valency result.
2. the method for claim 1, it is characterised in that before step S1, also include：
The traffic flow that S01, each entrance driveway in collection crossing are respectively flowed to；
S02, the traffic flow respectively flowed to according to each entrance driveway in crossing and default intersection traffic condition discrimination table, it is determined that
The current traffic behavior in crossing；
S03, the canalization information based on crossing, call in the signal timing dial algorithm under default different traffic with currently
Corresponding signal timing dial algorithm under traffic behavior；
S04, according to the signal timing dial algorithm under current traffic condition, signal time distributing conception is optimized to obtain Current traffic
Optimal Signals timing scheme under state.
3. the method for claim 1, it is characterised in that described multiple evaluation indexes include time headway, length of queuing up
Degree and intersection delay.
4. the method as described in any one of claim 1-3, it is characterised in that in step S2, default standardization letter
Number is specially：
Wherein, aiFor the evaluation index value of i-th evaluation index, diFor the 3 of the i-th evaluation index, threshold value, di=[mi,Mi], xiFor
The actual value of i-th evaluation index, mi、MiThe minima of i-th evaluation index, maximum in the period of history are taken respectively.
5. the method as described in any one of claim 1-3, it is characterised in that in step S3, default evaluation index
Weights-selected Algorithm includes analytic hierarchy process (AHP) and/or expert method.
6. method as claimed in claim 5, it is characterised in that step S3 is specifically included：
S31, based on default analytic hierarchy process (AHP) and expert method, the weighted value of multiple evaluation indexes is calculated respectively；
S32, will be averaged based on the weighted value of analytic hierarchy process (AHP) and expert method calculated multiple evaluation indexes respectively, point
Do not obtain the weighted value of each evaluation index under current traffic condition.
7. method as claimed in claim 5, it is characterised in that in step S4, intersection signal timing scheme is commented
The calculation of valency result, specially：
Wherein, a be intersection signal timing scheme evaluation result, ai' for the weighted value of the i-th evaluation index, N is for evaluation index
Number.
8. method as claimed in claim 5, it is characterised in that：Described multiple evaluation indexes include average headway, queue up
Length and crossing mean delay.
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109087507A (en) * | 2018-08-29 | 2018-12-25 | 公安部交通管理科学研究所 | A kind of road traffic signal single-point control Benefit Evaluation Method |
| CN110021178A (en) * | 2019-04-18 | 2019-07-16 | 浙江工业大学 | A kind of signal time distributing conception recommended method based on crossing similarity |
| CN110047284A (en) * | 2019-04-16 | 2019-07-23 | 浙江工业大学 | A kind of Traffic Signal Timing Optimal Decision-making support method based on expert system |
| CN113538931A (en) * | 2020-04-21 | 2021-10-22 | 阿里巴巴集团控股有限公司 | Timing method and device for traffic signals |
| CN114202933A (en) * | 2021-12-09 | 2022-03-18 | 合肥安慧软件有限公司 | Intersection signal control efficiency evaluation method based on intersection electric alarm data |
| CN115035717A (en) * | 2022-06-01 | 2022-09-09 | 南京理工大学 | Main line green wave traffic evaluation method based on checkpoint data |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2005071292A (en) * | 2003-08-28 | 2005-03-17 | Omron Corp | Signal control unit |
| CN101604479A (en) * | 2009-07-14 | 2009-12-16 | 北京交通大学 | The evaluation method of service level of plane signal intersection under mixed traffic environment |
| US20120326890A1 (en) * | 2011-06-27 | 2012-12-27 | Brad Cross | Signal Light Priority System Utilizing Estimated Time of Arrival |
| CN103337161A (en) * | 2013-07-11 | 2013-10-02 | 上海济安交通工程咨询有限公司 | Optimization method of intersection dynamic comprehensive evaluation and signal control system based on real-time simulation model |
| CN103810869A (en) * | 2014-02-27 | 2014-05-21 | 北京建筑大学 | Intersection signal control method based on dynamic steering proportion estimation |
| CN104050809A (en) * | 2014-06-03 | 2014-09-17 | 北京航天福道高技术股份有限公司 | Method for automatically analyzing and predicting traffic condition |
| CN204463197U (en) * | 2014-12-29 | 2015-07-08 | 北京高诚科技发展有限公司 | A kind of system of real-time region traffic organization prioritization scheme Simulation Evaluation |
| CN105096615A (en) * | 2015-07-14 | 2015-11-25 | 安徽四创电子股份有限公司 | Signalling-unit-based adaptive optimization control system |
| CN105869417A (en) * | 2016-06-16 | 2016-08-17 | 兰州理工大学 | Traffic signal control method and system based on combined control |
| CN106205156A (en) * | 2016-08-12 | 2016-12-07 | 南京航空航天大学 | A kind of crossing self-healing control method for the sudden change of part lane flow |
-
2016
- 2016-12-28 CN CN201611240655.1A patent/CN106683442A/en active Pending
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2005071292A (en) * | 2003-08-28 | 2005-03-17 | Omron Corp | Signal control unit |
| CN101604479A (en) * | 2009-07-14 | 2009-12-16 | 北京交通大学 | The evaluation method of service level of plane signal intersection under mixed traffic environment |
| US20120326890A1 (en) * | 2011-06-27 | 2012-12-27 | Brad Cross | Signal Light Priority System Utilizing Estimated Time of Arrival |
| CN103337161A (en) * | 2013-07-11 | 2013-10-02 | 上海济安交通工程咨询有限公司 | Optimization method of intersection dynamic comprehensive evaluation and signal control system based on real-time simulation model |
| CN103810869A (en) * | 2014-02-27 | 2014-05-21 | 北京建筑大学 | Intersection signal control method based on dynamic steering proportion estimation |
| CN104050809A (en) * | 2014-06-03 | 2014-09-17 | 北京航天福道高技术股份有限公司 | Method for automatically analyzing and predicting traffic condition |
| CN204463197U (en) * | 2014-12-29 | 2015-07-08 | 北京高诚科技发展有限公司 | A kind of system of real-time region traffic organization prioritization scheme Simulation Evaluation |
| CN105096615A (en) * | 2015-07-14 | 2015-11-25 | 安徽四创电子股份有限公司 | Signalling-unit-based adaptive optimization control system |
| CN105869417A (en) * | 2016-06-16 | 2016-08-17 | 兰州理工大学 | Traffic signal control method and system based on combined control |
| CN106205156A (en) * | 2016-08-12 | 2016-12-07 | 南京航空航天大学 | A kind of crossing self-healing control method for the sudden change of part lane flow |
Non-Patent Citations (3)
| Title |
|---|
| 郑佳: "城市干线信号双交叉口优化设计及其评价问题研究", 《中国优秀硕士学位论文全文数据库（工程科技II辑）2015年》 * |
| 陈啸等: "交通影响评价中交叉口服务水平综合评价研究 ", 《现代交通技术》 * |
| 陈啸等: "交通影响评价中交叉口服务水平综合评价研究", 《现代交通技术》 * |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109087507A (en) * | 2018-08-29 | 2018-12-25 | 公安部交通管理科学研究所 | A kind of road traffic signal single-point control Benefit Evaluation Method |
| CN110047284A (en) * | 2019-04-16 | 2019-07-23 | 浙江工业大学 | A kind of Traffic Signal Timing Optimal Decision-making support method based on expert system |
| CN110021178A (en) * | 2019-04-18 | 2019-07-16 | 浙江工业大学 | A kind of signal time distributing conception recommended method based on crossing similarity |
| CN113538931A (en) * | 2020-04-21 | 2021-10-22 | 阿里巴巴集团控股有限公司 | Timing method and device for traffic signals |
| CN114202933A (en) * | 2021-12-09 | 2022-03-18 | 合肥安慧软件有限公司 | Intersection signal control efficiency evaluation method based on intersection electric alarm data |
| CN114202933B (en) * | 2021-12-09 | 2023-10-27 | 合肥安慧软件有限公司 | Intersection signal control efficiency evaluation method based on intersection electric alarm data |
| CN115035717A (en) * | 2022-06-01 | 2022-09-09 | 南京理工大学 | Main line green wave traffic evaluation method based on checkpoint data |
| CN115035717B (en) * | 2022-06-01 | 2023-09-26 | 南京理工大学 | Main line green wave traffic evaluation method based on bayonet data |
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