CN106781488A - Based on the traffic circulation state evaluation method that vehicle density and speed are merged - Google Patents
Based on the traffic circulation state evaluation method that vehicle density and speed are merged Download PDFInfo
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- CN106781488A CN106781488A CN201611240683.3A CN201611240683A CN106781488A CN 106781488 A CN106781488 A CN 106781488A CN 201611240683 A CN201611240683 A CN 201611240683A CN 106781488 A CN106781488 A CN 106781488A
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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
- G08G1/0125—Traffic data processing
- G08G1/0133—Traffic data processing for classifying traffic situation
Abstract
The invention discloses a kind of traffic circulation state evaluation method merged based on vehicle density and speed, belong to technical field of control over intelligent traffic, including the vehicle density data and flow speeds data for obtaining section to be evaluated；Vehicle density data and default vehicle density operation index computation model according to section to be evaluated, calculates the operation index of vehicle density；Flow speeds and default flow speeds operation index computation model according to section to be evaluated, calculates the operation index of flow speeds；According to the operation index and the operation index of flow speeds of vehicle density, the traffic circulation state in section to be evaluated is evaluated.By analyzing speed and influence of the vehicle density to traffic circulation index, set up traffic circulation index computation model, the traffic circulation index that will be calculated with this at congestion index be classified threshold value be compared, to determine the traffic circulation state in section to be evaluated, improve the accuracy of evaluation result.
Description
Technical field
The present invention relates to technical field of control over intelligent traffic, more particularly to a kind of friendship merged based on vehicle density and speed
Logical evaluation of running status method.
Background technology
Traffic circulation index (Traffic Performance Index, TPI) is the quantizating index ginseng of section running status
Number, for the congestion level and service level in 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.
At present, typically by the magnitude of traffic flow in the equipment collection section such as fixed detector, Floating Car and electric police, bayonet socket and
The parameters such as flow speeds, and by these parameter evaluation real-time congestion status of Urban road traffic.Existing this evaluation
Mode has more obvious defect：One is, the computational methods of existing traffic circulation index are usually the single parameter of use
Evaluated, when parameter error is larger, be easily caused the traffic circulation state of calculating and the traffic circulation state deviation of reality
It is larger.Two are, only the size by these parameter values can not provide intuitively congestion impression.Three are, in existing evaluation procedure,
The threshold value of setting is more, and the adjustment to threshold value is relatively difficult, therefore cannot be applicable the actual feelings of the good logical running status in different cities
Condition.
The content of the invention
It is an object of the invention to provide a kind of traffic circulation state evaluation method merged based on vehicle density and speed,
It is larger to solve the problems, such as existing traffic circulation state evaluation result deviation.
To realize object above, the technical solution adopted by the present invention is：One kind is provided to be merged based on vehicle density and speed
Traffic circulation state evaluation method, the method includes：
Obtain the vehicle density data and flow speeds data in section to be evaluated；
Vehicle density data and default vehicle density operation index computation model according to section to be evaluated, calculates wagon flow
The operation index of density；
Flow speeds and default flow speeds operation index computation model according to section to be evaluated, calculates flow speeds
Operation index；
According to the operation index and the operation index of flow speeds of vehicle density, the traffic circulation shape in section to be evaluated is evaluated
State.
Compared with prior art, there is following technique effect in the present invention：The present invention is by analyzing speed and vehicle density pair
The influence of traffic circulation index, and traffic circulation index and speed, the otherness of the relation of vehicle density, set up traffic circulation
Index computation model, and the threshold value of congestion index classification is given, by the vehicle density value and vehicle speed value meter in section to be evaluated
The traffic circulation index in section to be evaluated is calculated, and the traffic circulation index that will be calculated and the threshold of the classification of the congestion index at this
Value is compared, to determine the traffic circulation state in section to be evaluated.The factor evaluated by comprehensive various influence traffic behaviors,
To evaluate the traffic circulation state in section to be evaluated, the accuracy of evaluation result is improve.
Brief description of the drawings
Fig. 1 is the stream of the traffic circulation state evaluation method based on vehicle density and speed fusion in one embodiment of the invention
Journey schematic diagram；
Fig. 2 is the whole of the traffic circulation state evaluation method that is merged based on vehicle density and speed in one embodiment of the invention
Body schematic flow sheet.
Specific embodiment
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 evaluation merged based on vehicle density and speed
Method, the method comprises the following steps S1 to S4：
S1, the vehicle density data and flow speeds data that obtain section to be evaluated；
S2, the vehicle density data according to section to be evaluated and default vehicle density operation index computation model, calculate
The operation index of vehicle density；
S3, the flow speeds according to section to be evaluated and default flow speeds operation index computation model, calculate wagon flow
The operation index of speed；
S4, operation index and the operation index of flow speeds according to vehicle density, evaluate the traffic fortune in section to be evaluated
Row state.
Specifically, step S1 is specifically included：In default period of time T, the vehicle density number in section to be evaluated is obtained
According to this and flow speeds data.
Wherein, default vehicle density operation index computation model is specially：
The operation index computation model of described default flow speeds is specially：
Wherein, x is vehicle density, and y is flow speeds, and x=kS, S=q/v, S are section to be evaluated in the time cycle
Vehicle density value, q is the average vehicle flow in section to be evaluated in period of time T, and v is the flat of section to be evaluated in period of time T
Equal speed, y=k (vm- v), va=vm-vc, α, β, vm, vcIt is the preset parameter value of setting, k is variable element.
Specifically, step S4 is specifically included：
According to the operation index and the operation index of flow speeds of vehicle density, based on traffic circulation index computation model,
Calculate the traffic circulation index in section to be evaluated；
Traffic circulation index according to section to be evaluated, based on default road Running Status Table, determines section to be evaluated
Traffic circulation state；
Wherein, described traffic circulation index computation model is specially：
TPI=η TPIx+(1-η)TPIy,
Wherein, η variable elements.
Wherein, preset parameter α, β, vm, vcSetting up procedure be specially：
The setting up procedure of preset parameter α includes：
History flow speeds and vehicle flowrate data to section to be evaluated carry out cluster analysis, obtain stand-by flow speeds
Value and wagon flow value；
The maximum of the link flow in the case of section free flow speed to be evaluated is obtained, and according to the maximum of link flow
Value；
According to the maximum of stand-by flow speeds value, stand-by wagon flow value and link flow, vehicle density is calculated
It is preset parameter α to be worth；
Preset parameter β is the vehicle density maximum in the default working day of statistics；
vmThe desin speed value for being section to be evaluated under freestream conditionses；
vcWhen reaching maximum for the vehicle density value in section to be evaluated, the maximum of flow speeds.
Specifically, the variable model (0,2) of variable element k, the variable range of variable element η is [0,1].Need explanation
It is that in actual applications, it is 1 typically to take the value of k, and it is 0.5 that typically take η must be worth, when section to be evaluated or city become
During change, can be by being adjusted in variable range in 1 or so assignment and to η to k values, to adjust vehicle density and car
Speed proportion shared in evaluation procedure is applicable different sections or city.Therefore, traffic circulation shape disclosed in the present embodiment
State evaluation method, it is not necessary to which excessive threshold value is set, when the switching for carrying out different sections or different cities is evaluated, only
Need adjustment variable element k and η, you can obtain being suitable for the traffic circulation index computation model of current road segment, with more preferable
Applicability.
Specifically, the determination process of above-mentioned period of time T is：Road traffic density value to historical statistics is divided
Analysis, it is determined that the minimum interval for evaluating the same traffic behavior of current road segment is period of time T.
It should be noted that the process that the minimum interval is calculated 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 two ends of duration
Value determines.In the selection of minimum interval of congestion index TPI is calculated, if the minimum interval value is excessive, count
The congestion index TPI for obtaining can not in real time reflect the effect of road traffic congestion state, if the minimum interval value
It is too small, then can cause the waste of system resource.The minimum interval set in the present embodiment has the reasonability of science, is protecting
Card ensures that the congestion index TPI being calculated can in real time reflect road traffic congestion state while rationally utilizing system resource
Effect.
Specifically, as shown in Fig. 2 being the traffic characteristic according to current road segment in the present embodiment, to described variable element
K, η are adjusted.
It should be noted that the traffic characteristic of current road segment here refers to user's trip satisfaction and road traffic
Practical operation situation, user's trip satisfaction is specifically that the trip impression of a number of user is carried out investigating obtain one
The investigation value evaluated variable element k, η.Here road traffic operation actual conditions can be obtained according to floating car data
Arrive.
Specifically, the method disclosed in the present embodiment also includes：
When vehicle density data, flow speeds data in the period of time T are less than default quantity, to it is described when
Between vehicle density data in cycle T, flow speeds data carry out interpolation processing.
It should be noted that in actual applications, it is little in the data volume of the vehicle density value s for calculating current road segment
When, by these data volumes being carried out with interpolation processing or being supplemented and is calculated using the historical data of current road segment
The vehicle density value s of current road segment.In the data volume not used for the vehicle density value s for calculating current road segment, then will be current
The vehicle density value s values in section are calculating parameter a.
Claims (9)
1. a kind of traffic circulation state evaluation method merged based on vehicle density and speed, it is characterised in that including：
S1, the vehicle density data and flow speeds data that obtain section to be evaluated；
S2, the vehicle density data according to section to be evaluated and default vehicle density operation index computation model, calculate wagon flow
The operation index of density；
S3, the flow speeds according to section to be evaluated and default flow speeds operation index computation model, calculate flow speeds
Operation index；
S4, operation index and the operation index of flow speeds according to vehicle density, evaluate the traffic circulation shape in section to be evaluated
State.
2. the method for claim 1, it is characterised in that described step S1 is specifically included：
In default period of time T, the vehicle density data and flow speeds data in section to be evaluated are obtained.
3. method as claimed in claim 2, it is characterised in that described default vehicle density operation index computation model tool
Body is：
The operation index computation model of described default flow speeds is specially：
Wherein, x is vehicle density, and y is flow speeds, and x=kS, S=q/v, S are the wagon flow in section to be evaluated in the time cycle
Density value, q is the average vehicle flow in section to be evaluated in period of time T, and v is the average car in section to be evaluated in period of time T
Speed, y=k (vm- v), va=vm-vc, α, β, vm, vcIt is the preset parameter value of setting, k is variable element.
4. method as claimed in claim 3, it is characterised in that described step S4 is specifically included：
According to the operation index and the operation index of flow speeds of vehicle density, based on traffic circulation index computation model, calculate
The traffic circulation index in section to be evaluated；
Traffic circulation index according to section to be evaluated, based on default road Running Status Table, determines the friendship in section to be evaluated
Logical running status；
Wherein, described traffic circulation index computation model is specially：
TPI=η TPIx+(1-η)TPIy,
Wherein, η variable elements.
5. method as claimed in claim 3, it is characterised in that described preset parameter α, β, vm, vcSetting up procedure it is specific
For：
The setting up procedure of preset parameter α includes：
History flow speeds and vehicle flowrate data to section to be evaluated carry out cluster analysis, obtain stand-by flow speeds value and
Wagon flow value；
The maximum of the link flow in the case of section free flow speed to be evaluated is obtained, and according to the maximum of link flow；
According to the maximum of stand-by flow speeds value, stand-by wagon flow value and link flow, calculating vehicle density value is
Preset parameter α；
Preset parameter β is the vehicle density maximum in the default working day of statistics；
vmThe desin speed value for being section to be evaluated under freestream conditionses；
vcWhen reaching maximum for the vehicle density value in section to be evaluated, the maximum of flow speeds.
6. method as claimed in claim 4, it is characterised in that the variable model (0,2) of described variable element k, variable element η
Variable range be [0,1].
7. method as claimed in claim 4, it is characterised in that the setting up procedure of described default period of time T is：To going through
The road traffic density value of history statistics is analyzed, it is determined that the minimum interval for evaluating the same traffic behavior of current road segment is
Period of time T.
8. method as claimed in claim 4, it is characterised in that also include：
According to the traffic characteristic of current road segment, described variable element k, η are adjusted.
9. method as claimed in claim 7, it is characterised in that also include：
When vehicle density data, flow speeds data in the period of time T are less than default quantity,
Interpolation processing is carried out to the vehicle density data in the period of time T, flow speeds data.
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| CN108922209A (en) * | 2018-07-20 | 2018-11-30 | 肖金保 | A kind of cloud intelligent traffic lamp system |
| CN108922187A (en) * | 2018-07-20 | 2018-11-30 | 肖哲睿 | A kind of intelligent transportation system |
| CN109029483A (en) * | 2018-07-20 | 2018-12-18 | 肖鑫茹 | A kind of navigation system based on cloud computing |
| CN111081030A (en) * | 2019-12-30 | 2020-04-28 | 北京中交兴路车联网科技有限公司 | Method and system for judging traffic jam on expressway |
| CN111915875A (en) * | 2019-05-08 | 2020-11-10 | 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 |
| CN112053570A (en) * | 2020-08-11 | 2020-12-08 | 江苏纬信工程咨询有限公司 | Urban traffic road network running state monitoring and evaluating method and system |
| CN112382098A (en) * | 2021-01-12 | 2021-02-19 | 中兴通讯股份有限公司 | Traffic jam detection method and device, electronic equipment and storage medium |
| 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 |
| CN113053107A (en) * | 2020-12-23 | 2021-06-29 | 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 |
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| CN113053107A (en) * | 2020-12-23 | 2021-06-29 | 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 |
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