CN106781488B - The traffic circulation state evaluation method merged based on vehicle density and speed - Google Patents
The traffic circulation state evaluation method merged based on vehicle density and speed Download PDFInfo
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- 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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- G08G1/0133—Traffic data processing for classifying traffic situation
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Abstract
The invention discloses a kind of traffic circulation state evaluation methods merged based on vehicle density and speed, belong to technical field of control over intelligent traffic, vehicle density data and flow speeds data including obtaining section to be evaluated；Index computation model is run according to the vehicle density data in section to be evaluated and preset vehicle density, calculates the operation index of vehicle density；Index computation model is run according to the flow speeds in section to be evaluated and preset flow speeds, calculates the operation index of flow speeds；According to the operation index of the operation index and flow speeds of vehicle density, the traffic circulation state in section to be evaluated is evaluated.Influence by analysis speed and vehicle density to traffic circulation index, establish traffic circulation index computation model, calculated traffic circulation index is compared with the threshold value of the congestion index classification at this, with the traffic circulation state in determination section to be evaluated, improves the accuracy of evaluation result.
Description
Technical field
The present invention relates to technical field of control over intelligent traffic, in particular to a kind of friendship merged based on vehicle density and speed
Logical evaluation of running status method.
Background technique
Traffic circulation index (Traffic Performance Index, TPI) is the quantizating index ginseng of section operating status
Number, congestion level and service level for microcosmic evaluation section.Accordingly, it is determined that the traffic circulation exponent pair in section evaluates the road
The traffic conditions of section have great importance.
Currently, generally by the equipment such as fixed detector, Floating Car and electric police, bayonet acquire section the magnitude of traffic flow and
The parameters such as flow speeds, and pass through these real-time congestion status of parameter evaluation Urban road traffic.Existing this evaluation
Mode has more apparent defect: first is that, the single parameter that the calculation method of existing traffic circulation index is usually used
It is evaluated, when parameter error is larger, is easy to cause the traffic circulation state and actual traffic circulation state deviation of calculating
It is larger.Second is that only intuitive congestion impression can not be provided by the size of these parameter values.Third is that in existing evaluation procedure,
The threshold value of setting is more, relatively difficult to the adjustment of threshold value, therefore can not be applicable in the practical feelings of the good logical operating status in different cities
Condition.
Summary of the invention
The traffic circulation state evaluation method based on vehicle density and speed fusion that the purpose of the present invention is to provide a kind of,
To solve the problems, such as that existing traffic circulation state evaluation result deviation is larger.
In order to achieve the above object, the technical solution adopted by the present invention are as follows: provide a kind of based on vehicle density and speed fusion
Traffic circulation state evaluation method, this method comprises:
Obtain the vehicle density data and flow speeds data in section to be evaluated；
Index computation model is run according to the vehicle density data in section to be evaluated and preset vehicle density, calculates wagon flow
The operation index of density；
Index computation model is run according to the flow speeds in section to be evaluated and preset flow speeds, calculates flow speeds
Operation index；
According to the operation index of the operation index and flow speeds of vehicle density, the traffic circulation shape in section to be evaluated is evaluated
State.
Compared with prior art, there are following technical effects by the present invention: the present invention passes through analysis speed and vehicle density pair
The influence of traffic circulation index and traffic circulation index and speed, the otherness of the relationship of vehicle density, establish traffic circulation
Index computation model, and the threshold value of congestion index classification is provided, pass through the vehicle density value and vehicle speed value meter in section to be evaluated
Calculate the traffic circulation index in section to be evaluated, and the threshold that the congestion index at calculated traffic circulation index and this is classified
Value is compared, with the traffic circulation state in determination section to be evaluated.The factors evaluated by a variety of influence traffic behaviors of synthesis,
The traffic circulation state in section to be evaluated is evaluated, improves the accuracy of evaluation result.
Detailed description of the invention
Fig. 1 is the stream of the traffic circulation state evaluation method merged in one embodiment of the invention based on vehicle density and speed
Journey schematic diagram；
Fig. 2 is the whole of the traffic circulation state evaluation method merged in one embodiment of the invention based on vehicle density and speed
Body flow diagram.
Specific embodiment
Below with reference to Fig. 1 to Fig. 2, the present invention is described in further detail.
As shown in Figure 1, present embodiment discloses a kind of traffic circulation state evaluations merged based on vehicle density and speed
Method, this method comprises the following steps S1 to S4:
S1, the vehicle density data and flow speeds data for obtaining section to be evaluated；
S2, index computation model is run according to the vehicle density data in section to be evaluated and preset vehicle density, calculated
The operation index of vehicle density；
S3, index computation model is run according to the flow speeds in section to be evaluated and preset flow speeds, calculates wagon flow
The operation index of speed；
S4, the operation index for running index and flow speeds according to vehicle density evaluate the traffic fortune in section to be evaluated
Row state.
Wherein, the preset vehicle density runs index computation model specifically:
The operation index computation model of the preset flow speeds specifically:
Wherein, x is vehicle density, and y is flow speeds, and x=kS, S=q/v, S is section to be evaluated in period of time T
Vehicle density value, q is the average vehicle flow in section to be evaluated in period of time T, and v is section to be evaluated in period of time T
Average speed, y=k (vm- v), va=vm-vc, α, β, vm, vcFor the preset parameter value of setting, k is variable element.
Specifically, step S1 is specifically included: in preset period of time T, obtaining the vehicle density number in section to be evaluated
Accordingly and flow speeds data.
Specifically, step S4 is specifically included:
According to the operation index of the operation index and flow speeds of vehicle density, it is based on traffic circulation index computation model,
Calculate the traffic circulation index in section to be evaluated；
According to the traffic circulation index in section to be evaluated, it is based on preset road Running Status Table, determines section to be evaluated
Traffic circulation state；
Wherein, the traffic circulation index computation model specifically:
TPI=η TPIx+(1-η)TPIy,
Wherein, η variable element.
Wherein, preset parameter α, β, vm, vcSetting up procedure specifically:
The setting up procedure of preset parameter α includes:
History flow speeds and vehicle flowrate data to section to be evaluated carry out clustering, obtain stand-by flow speeds
Value and wagon flow magnitude；
Obtain the maximum value of the link flow in the case of section free flow speed to be evaluated；
According to stand-by flow speeds value, the maximum value of stand-by wagon flow magnitude and link flow, vehicle density is calculated
Value is preset parameter α；
Preset parameter β is the vehicle density maximum value in the default working day of statistics；
vmThe desin speed value for being section to be evaluated under freestream conditions；
vcWhen reaching maximum value for the vehicle density value in section to be evaluated, the maximum value of flow speeds.
Specifically, the variable range of variable element k is (0,2), and the variable range of variable element η is [0,1].It needs to illustrate
, in practical applications, generally taking the value of k is 1, and generally taking η that must be worth is 0.5, when section to be evaluated or city occur
When variation, can by variable range in being adjusted in 1 or so assignment and to k value to η, with adjust vehicle density and
Speed specific gravity shared in evaluation procedure, to be applicable in different section or city.Therefore, traffic circulation disclosed in the present embodiment
Method for evaluating state does not need that excessive threshold value is arranged, in the switching evaluation for carrying out different section or different cities,
It only needs to adjust variable element k and η, the traffic circulation index computation model for being suitable for current road segment can be obtained, have more preferable
Applicability.
Specifically, the determination process of above-mentioned period of time T are as follows: the road traffic density value of historical statistics is divided
Analysis determines that the minimum interval of the evaluation same traffic behavior of current road segment is period of time T.
It should be noted that the process that the minimum interval calculates is: by the historical statistics vehicle speed data to road
It is analyzed, obtains present road traffic circulation state and maintain the duration of same jam level and the both ends of duration
Value determines.In the selection of minimum interval for calculating congestion index TPI, if the minimum interval value is excessive, count
Obtained congestion index TPI cannot reflect the effect of road traffic congestion state in real time, if the minimum interval value
It is too small, then it will lead to the waste of system resource.The minimum interval being arranged in the present embodiment has the reasonability of science, is protecting
The congestion index TPI that card ensures to be calculated while rationally utilizing system resource can reflect road traffic congestion state in real time
Effect.
Specifically, as shown in Fig. 2, being the traffic characteristic according to current road segment in the present embodiment, to the variable element
K, η is adjusted.
It should be noted that the traffic characteristic of current road segment here refers to that user goes on a journey satisfaction and road traffic
Practical operation situation, user go on a journey satisfaction specifically to one for experiencing and being investigated that goes on a journey of a certain number of users
The investigation value that variable element k, η are evaluated.Here road traffic operation actual conditions can be obtained according to floating car data
It arrives.
Specifically, method disclosed in the present embodiment further include:
When vehicle density data, flow speeds data in the period of time T are less than preset quantity, to it is described when
Between vehicle density data, flow speeds data in cycle T carry out interpolation processing.
It should be noted that in practical applications, it is seldom in the data volume of the vehicle density value s for calculating current road segment
When, by carrying out interpolation processing to these data volumes or being supplemented using the historical data of current road segment, to be calculated
The vehicle density value s of current road segment.It, then will be current when not for calculating the data volume of vehicle density value s of current road segment
The vehicle density value s value in section is calculating parameter a.
Claims (7)
1. a kind of traffic circulation state evaluation method merged based on vehicle density and speed characterized by comprising
S1, the vehicle density data and flow speeds data for obtaining section to be evaluated；
S2, index computation model is run according to the vehicle density data in section to be evaluated and preset vehicle density, calculates wagon flow
The operation index of density；
S3, index computation model is run according to the flow speeds in section to be evaluated and preset flow speeds, calculates flow speeds
Operation index；
S4, the operation index for running index and flow speeds according to vehicle density, evaluate the traffic circulation shape in section to be evaluated
State；
Wherein, the preset vehicle density runs index computation model specifically:
The operation index computation model of the preset flow speeds specifically:
Wherein, x is vehicle density, and y is flow speeds, x=kS, S=q/v, and S is the vehicle in section to be evaluated in period of time T
Current density value, q be the average vehicle flow in section to be evaluated in period of time T, and v is that section to be evaluated is averaged in period of time T
Speed, y=k (vm- v), va=vm-vc, α, β, vm, vcFor the preset parameter value of setting, k is variable element；
Wherein, preset parameter β is the vehicle density maximum value in the default working day of statistics；vmIt is section to be evaluated in free flow
Desin speed value under state；vcWhen reaching maximum value for the vehicle density value in section to be evaluated, the maximum value of flow speeds；Gu
The setting up procedure for determining parameter alpha includes: to carry out clustering to the history flow speeds and vehicle flowrate data in section to be evaluated, is obtained
Stand-by flow speeds value and wagon flow magnitude；Obtain the maximum value of the link flow in the case of section free flow speed to be evaluated；
According to stand-by flow speeds value, the maximum value of stand-by wagon flow magnitude and link flow, calculating vehicle density value is to fix
Parameter alpha.
2. the method as described in claim 1, which is characterized in that the step S1 is specifically included:
In preset period of time T, the vehicle density data and flow speeds data in section to be evaluated are obtained.
3. the method as described in claim 1, which is characterized in that the step S4 is specifically included:
According to the operation index of the operation index and flow speeds of vehicle density, it is based on traffic circulation index computation model, is calculated
The traffic circulation index in section to be evaluated；
According to the traffic circulation index in section to be evaluated, it is based on preset road Running Status Table, determines the friendship in section to be evaluated
Logical operating status；
Wherein, the traffic circulation index computation model specifically:
TPI=η TPIx+(1-η)TPIy,
Wherein, η variable element.
4. method as claimed in claim 3, which is characterized in that the variable range of the variable element k is (0,2), be can be changed
The variable range of parameter η is [0,1].
5. method according to claim 2, which is characterized in that the setting up procedure of the preset period of time T are as follows: to going through
The road traffic density value of history statistics is analyzed, and determines that the minimum interval of the evaluation same traffic behavior of current road segment is
Period of time T.
6. method as claimed in claim 3, which is characterized in that further include:
According to the traffic characteristic of current road segment, described variable element k, η are adjusted.
7. method as claimed in claim 5, which is characterized in that further include:
When vehicle density data, flow speeds data in the period of time T are less than preset quantity, to week time
Vehicle density data, flow speeds data in phase T carry out interpolation processing.
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| CN107248283B (en) * | 2017-07-18 | 2018-12-28 | 北京航空航天大学 | A kind of urban area road network evaluation of running status method considering section criticality |
| CN108922187B (en) * | 2018-07-20 | 2021-09-07 | 上海久揽视讯科技有限公司 | Intelligent transportation system |
| CN108922209B (en) * | 2018-07-20 | 2021-06-04 | 江苏永诚交通集团有限公司 | Cloud intelligent traffic signal lamp system |
| CN109029483B (en) * | 2018-07-20 | 2022-09-06 | 福建泰坤电子有限公司 | Navigation system based on cloud computing |
| CN111915875B (en) * | 2019-05-08 | 2024-07-19 | 阿里巴巴集团控股有限公司 | Method and device for processing traffic flow path distribution information and electronic equipment |
| CN111081030B (en) * | 2019-12-30 | 2021-03-26 | 北京中交兴路车联网科技有限公司 | Method and system for judging traffic jam on expressway |
| CN112053570B (en) * | 2020-08-11 | 2021-07-20 | 江苏纬信工程咨询有限公司 | Urban traffic road network running state monitoring and evaluating method and system |
| CN112562330A (en) * | 2020-11-27 | 2021-03-26 | 深圳市综合交通运行指挥中心 | Method and device for evaluating road operation index, electronic equipment and storage medium |
| CN113053107B (en) * | 2020-12-23 | 2022-08-02 | 沈阳世纪高通科技有限公司 | Method and device for calculating road congestion and slowness state by combining free flow |
| CN112382098B (en) * | 2021-01-12 | 2021-07-06 | 中兴通讯股份有限公司 | Traffic jam detection method and device, electronic equipment and storage medium |
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| JP5115542B2 (en) * | 2009-12-01 | 2013-01-09 | 住友電気工業株式会社 | Traffic information calculation device, traffic system, and computer program |
| CN103280098B (en) * | 2013-05-23 | 2015-06-10 | 北京交通发展研究中心 | Traffic congestion index calculation method |
| CN104464294B (en) * | 2014-12-17 | 2016-08-31 | 合肥革绿信息科技有限公司 | A kind of road section traffic volume method for evaluating state based on array radar |
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