CN102881173B - Traffic demand control method and system - Google Patents
Traffic demand control method and system Download PDFInfo
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- CN102881173B CN102881173B CN201210358197.7A CN201210358197A CN102881173B CN 102881173 B CN102881173 B CN 102881173B CN 201210358197 A CN201210358197 A CN 201210358197A CN 102881173 B CN102881173 B CN 102881173B
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Abstract
The invention discloses a traffic demand control method and a traffic demand control system. According to the invention, each crossing which is predetermined in a preset area is provided with a demand control signal machine and a front end detector; each front end detector acquires traffic flow data of each crossing in real time and the traffic flow data are stored in the demand control signal machine connected with the front end detector, and a control center reads traffic flow data, which are stored in each demand control signal machine, of the current acquisition period, every acquisition period; the control center acquires the current area traffic congestion state according to the read traffic flow data; when the current area traffic congestion state meets a preset demand control trigger condition, the control center makes an area traffic demand control strategy and sends the area traffic demand control strategy to the specified demand control signal machine; and the specified demand control signal machine executes the received area traffic demand control strategy. By the traffic demand control method and the traffic demand control system, regional traffic congestion can be effectively relieved.
Description
Technical field
The present invention relates to traffic control technology, particularly a kind of traffic demand control method and system.
Background technology
Along with the fast development of urban economy, the quantity of the various vehicles in city also sharply increases thereupon, and therefore, the generation of large-area regional traffic congestion event is also more and more frequent.Especially at the economy and finance center in city, the region such as administrative center and commercial center, there is the scope of traffic congestion, the duration of traffic congestion and congestion level more serious.Now, can not the fundamentally transport solution problem of blocking up if only carry out traffic control to certain crossing of local or certain section, and need treat from the angle in region and alleviate traffic jam issue, namely control to alleviate traffic jam issue by zonal transport need.
The transport need that has its source in occurred due to traffic jam issue exceedes transportation supplies, therefore zonal transport need controls to be exactly the traffic behavior by each crossing of traffic signalization in certain region, relative changes transport need, and then reach the object alleviating traffic congestion.
For above-mentioned Urban Traffic Jam Based, various solution of the prior art generally all only rests on the aspect of traffic jam judging and traffic congestion evaluation, and lacks the deeper signal control method dredged towards traffic congestion.And traditional traffic signal control method, the traffic congestion generally also only possessing crossing, local or section dredges ability, but then helpless for zonal traffic congestion.
As from the foregoing, also there are some above-mentioned problems in traffic demand control method of the prior art, therefore, is necessary the traffic demand control method of the traffic congestion providing a kind of Based on Regional, thus alleviates zonal traffic congestion.
Summary of the invention
According to the present invention, provide a kind of traffic demand control method and system, thus can effectively alleviate zonal traffic congestion.
According to an aspect of the present invention, provide a kind of traffic demand control method, it comprises:
A, demand modeling teleseme and front-end detector are set at each predetermined crossing of presumptive area;
The traffic flow data at B, each each crossing of front-end detector Real-time Collection stored in the demand modeling teleseme connected separately, control center reads the traffic flow data of the current collection period stored in each demand modeling teleseme every a collection period;
C, control center obtain current area traffic jamming state according to read traffic flow data;
D, when current area traffic jamming state meets default demand modeling trigger condition, control center formulates regional traffic demand modeling strategy, and described regional traffic demand modeling strategy is sent to the demand modeling teleseme of specifying;
Regional traffic demand modeling strategy received by E, described demand modeling teleseme of specifying perform;
Wherein, described demand modeling teleseme comprises: one-level demand modeling teleseme, secondary demand modeling teleseme;
Described front-end detector comprises: one-level front-end detector, secondary front-end detector; And
Described steps A comprises:
At each peripheral crossing of described presumptive area, one-level demand modeling teleseme and one-level front-end detector are set; Each the peripheral crossing controlling described presumptive area by one-level demand modeling teleseme enters the traffic influx of described presumptive area;
At each main crossroads of described presumptive area, secondary demand modeling teleseme and secondary front-end detector are set; The traffic influx of each main crossroads in described presumptive area is controlled by secondary demand modeling teleseme.
Wherein, described demand modeling teleseme also comprises: three grades of demand modeling telesemes;
Described front-end detector also comprises: three grades of front-end detector.
Wherein, described steps A also comprises:
At each secondary crossing of presumptive area, three grades of demand modeling telesemes and three grades of front-end detector are set.
Wherein, described collection period is more than or equal to 3 minutes.
Wherein, described step C comprises:
At least one phase place at least one crossing is specified in advance in described presumptive area;
The traffic intensity of each designated phase is calculated according to read traffic flow data;
According to the traffic intensity zoning traffic intensity mean value of each designated phase;
Using described regional traffic average strength as current area traffic jamming state.
Wherein, the formula calculating the traffic intensity of each designated phase described is:
Wherein, described I
ijfor the traffic intensity of the jth phase place at i-th crossing of specifying in described presumptive area; Described α and β is traffic intensity correction factor, and span is [0,1]; Described q
ijfor the arrival rate that the front-end detector in a jth phase place at described i-th crossing detects; Described S
ijfor the saturation volume rate of a jth phase place at described i-th crossing; Described O
ijfor the time occupancy of a jth phase place at described i-th crossing; Described O
sijfor the time occupancy corresponding to the saturation volume rate of a jth phase place at described i-th crossing.
Wherein, the formula calculating described regional traffic average strength is:
Wherein, described in
for the regional traffic average strength of described presumptive area C; Described I
cijfor the traffic intensity of the jth phase place at i-th crossing of specifying in described presumptive area C; Described m is the sum of all designated phase.
Wherein, before described step C, the method also comprises further:
Control center carries out misdata Screening Treatment, smoothing processing and prediction processing to read traffic flow data.
Wherein, described step D comprises:
D1, judge that whether current area traffic jamming state meets the one-level transport need preset and control trigger condition, if so, then perform step D2; Otherwise, perform step D5;
D2, control center formulate level-1 area transport need control strategy, and described level-1 area transport need control strategy is sent to one-level demand modeling teleseme;
D3, judge that whether current area traffic jamming state meets the secondary transport need preset and control trigger condition, if so, then perform step D4; Otherwise, perform step D5;
D4, control center formulate level-2 area transport need control strategy, and described level-2 area transport need control strategy is sent to secondary demand modeling teleseme;
D5, judge current area traffic jamming state whether meet transport need control termination condition, if so, then perform step D6; Otherwise, after postponing a delay period, return and perform step D1;
D6, control center send to one-level demand modeling teleseme and secondary demand modeling teleseme and recover instruction, make described one-level demand modeling teleseme and secondary demand modeling teleseme recover to perform initial traffic control scheme according to described recovery instruction.
Wherein, described one-level transport need control trigger condition is:
In a N continuous collection period, current regional traffic average strength
all be greater than the first default traffic intensity threshold value
and the actual traffic influx Q that detects all is greater than default one-level demand modeling startup influx Q
m1; Wherein, described N is natural number.
Wherein, described formulation level-1 area transport need control strategy comprises:
According to the traffic intensity at each crossing at one-level demand modeling teleseme place, determine the signal period at each crossing described;
According to the traffic flow data at each crossing that each one-level front-end detector gathers, determine the permission rate of inflow at each crossing at one-level demand modeling teleseme place;
According to determined signal period and permission rate of inflow, each phase place split at each crossing at first order calculation demand modeling teleseme place.
Wherein, described secondary transport need control trigger condition is:
In a N continuous collection period, current regional traffic average strength
all be greater than the second default traffic intensity threshold value
Wherein, described formulation level-2 area transport need control strategy comprises:
According to the traffic intensity at each crossing at secondary demand modeling teleseme place, determine the signal period at each crossing described;
According to the traffic flow data at each crossing that each secondary front-end detector gathers, determine the permission rate of inflow at each crossing at secondary demand modeling teleseme place;
According to determined signal period and permission rate of inflow, calculate each phase place split at each crossing at secondary demand modeling teleseme place.
Wherein, described delay period is N number of collection period; Wherein, N is natural number.
Wherein, described transport need control termination condition is:
In a N continuous collection period, current regional traffic average strength
all be less than the 3rd default traffic intensity threshold value
and the actual traffic influx Q that detects all is less than default one-level demand modeling and terminates influx Q
m2; Wherein, described N is natural number.
Wherein, described demand modeling teleseme of specifying is: one-level demand modeling teleseme and/or secondary demand modeling teleseme.
Wherein, described three grades of demand modeling telesemes perform bottleneck control strategy.
Wherein, described bottleneck control strategy is:
In advance queuing detecting device is set on the exit ramp at each crossing;
When described queuing detecting device has detected that stoppage of vehicle is near described queuing detecting device, reduce the entrance phase green time of this exit ramp according to the time step preset.
According to another aspect of the present invention, additionally provide a kind of transport need control system, this system comprises: control center, the multiple demand modeling teleseme being arranged on each predetermined crossing of presumptive area and multiple front-end detector; Wherein,
Described front-end detector, for the traffic flow data at each crossing of Real-time Collection, and by gathered traffic flow data stored in connected demand modeling teleseme; Described front-end detector comprises: one-level front-end detector, secondary front-end detector;
Described control center, for reading the traffic flow data of the current collection period stored in each demand modeling teleseme every a collection period, obtains current area traffic jamming state according to read traffic flow data; Also for when current area traffic jamming state meets default demand modeling trigger condition, formulate regional traffic demand modeling strategy, and described regional traffic demand modeling strategy is sent to the demand modeling teleseme of specifying;
Described demand modeling teleseme, for storing the traffic flow data at each crossing of connected front-end detector Real-time Collection, also for performing received regional traffic demand modeling strategy; Described demand modeling teleseme comprises: one-level demand modeling teleseme, secondary demand modeling teleseme;
Wherein, described one-level demand modeling teleseme and described one-level front-end detector are arranged at each peripheral crossing of described presumptive area; Each the peripheral crossing controlling described presumptive area by described one-level demand modeling teleseme enters the traffic influx of described presumptive area;
Described secondary demand modeling teleseme and described secondary front-end detector are arranged at each main crossroads of described presumptive area; The traffic influx of each main crossroads in described presumptive area is controlled by described secondary demand modeling teleseme.
Wherein, described demand modeling teleseme also comprises: three grades of demand modeling telesemes.
Described front-end detector also comprises: three grades of front-end detector.
Wherein, described one-level demand modeling teleseme and one-level front-end detector are arranged at each peripheral crossing of described presumptive area;
Described secondary demand modeling teleseme and secondary front-end detector are arranged at each main crossroads of described presumptive area;
Described three grades of demand modeling telesemes and three grades of front-end detector are arranged at each secondary crossing of described presumptive area.
Wherein, described demand modeling teleseme of specifying is: one-level demand modeling teleseme and/or secondary demand modeling teleseme.
Wherein, described control center, also for specifying at least one phase place at least one crossing in described presumptive area in advance; The traffic intensity of each designated phase is calculated according to read traffic flow data; According to the traffic intensity zoning traffic intensity mean value of each designated phase; Using described regional traffic average strength as current area traffic jamming state.
Wherein, described control center, also for carrying out misdata Screening Treatment, smoothing processing and prediction processing to read traffic flow data.
Wherein, described control center, time also for whether meeting the one-level transport need control trigger condition preset when current area traffic jamming state, formulate level-1 area transport need control strategy, and described level-1 area transport need control strategy is sent to one-level demand modeling teleseme; When whether current area traffic jamming state meets the secondary transport need control trigger condition preset, formulate level-2 area transport need control strategy, and described level-2 area transport need control strategy is sent to secondary demand modeling teleseme; When whether current area traffic jamming state meets transport need control termination condition, send to one-level demand modeling teleseme and secondary demand modeling teleseme and recover instruction, make described one-level demand modeling teleseme and secondary demand modeling teleseme recover to perform initial traffic control scheme according to described recovery instruction.
Wherein, described three grades of demand modeling telesemes, also for performing bottleneck control strategy.
As seen from the above technical solution, in traffic demand control method in the present invention, owing to being provided with demand modeling teleseme and front-end detector at each predetermined crossing; Each front-end detector can each crossing of Real-time Collection traffic flow data and stored in the demand modeling teleseme connected separately, control center then can read the traffic flow data of the current collection period stored in each demand modeling teleseme every a collection period, therefore control center can obtain current area traffic jamming state according to read traffic flow data.When current area traffic jamming state meets default demand modeling trigger condition, formulated regional traffic demand modeling strategy can be sent to the demand modeling teleseme of specifying by control center, and described demand modeling teleseme of specifying can perform received regional traffic demand modeling strategy, thus the traffic congestion of whether region property can be judged in presumptive area, and when the traffic congestion of region property, automatic control adjustment enters the volume of traffic of presumptive area and main crossroads, zonal traffic congestion can be alleviated effectively.
Accompanying drawing explanation
In order to be illustrated more clearly in the embodiment of the present invention or technical scheme of the prior art, be briefly described to the accompanying drawing used required in embodiment or description of the prior art below.Apparently, the accompanying drawing in below describing is only some embodiments of the present invention, for those of ordinary skills, can also obtain other embodiment and accompanying drawing thereof according to these accompanying drawing illustrated embodiments.
Fig. 1 is the schematic flow sheet of the traffic demand control method in the embodiment of the present invention;
Fig. 2 is the schematic diagram of a kind of concrete methods of realizing of step 103 in the embodiment of the present invention;
Fig. 3 is the schematic diagram of a kind of concrete methods of realizing of step 104 in the embodiment of the present invention;
Fig. 4 is a kind of schematic diagram formulating the method for level-1 area transport need control strategy in the embodiment of the present invention.
Fig. 5 is a kind of schematic diagram formulating the method for level-2 area transport need control strategy in the embodiment of the present invention.
Fig. 6 is the structural representation of the transport need control system in the embodiment of the present invention.
Embodiment
For making object of the present invention, technical scheme and advantage clearly understand, to develop simultaneously embodiment referring to accompanying drawing, the present invention is described in more detail.
Fig. 1 is the schematic flow sheet of the traffic demand control method in the embodiment of the present invention.As shown in Figure 1, the traffic demand control method in the embodiment of the present invention comprises step as described below:
Step 101, arranges demand modeling teleseme and front-end detector at each predetermined crossing of presumptive area.
In this step, a presumptive area can being pre-determined, then at each predetermined crossing of this predetermined presumptive area, demand modeling teleseme and front-end detector being set, for gathering the traffic flow data at each crossing.
Preferably, in a particular embodiment of the present invention, described demand modeling teleseme comprises:
One-level demand modeling teleseme, secondary demand modeling teleseme and three grades of demand modeling telesemes.
Described front-end detector comprises:
One-level front-end detector, secondary front-end detector and three grades of front-end detector.
Therefore, preferably, in a particular embodiment of the present invention, described each predetermined crossing in presumptive area arranges demand modeling teleseme and front-end detector can comprise:
At each peripheral crossing of presumptive area, one-level demand modeling teleseme and one-level front-end detector are set; At each main crossroads of presumptive area, secondary demand modeling teleseme and secondary front-end detector are set; At each secondary crossing of presumptive area, three grades of demand modeling telesemes and three grades of front-end detector are set.
Wherein, in the preferred embodiment, described presumptive area pre-determines according to the needs of actual application environment; Each peripheral crossing of described presumptive area refers to each crossing that described presumptive area is in communication with the outside, that be positioned at described presumptive area periphery, and vehicle can pass in and out described presumptive area by each peripheral crossing described; Each main crossroads of described presumptive area refer to each crossing on each bar main road of described presumptive area inside; Each secondary crossing of described presumptive area refers to each crossing on each bar secondary distributor road of described presumptive area inside.
Step 102, the traffic flow data at each each crossing of front-end detector Real-time Collection stored in the demand modeling teleseme connected separately, control center reads the traffic flow data of the current collection period stored in each demand modeling teleseme every a collection period.
In a particular embodiment of the present invention, a collection period can be pre-set, the traffic flow data at each each crossing of front-end detector Real-time Collection at each crossing, and then by gathered traffic flow data stored in the demand modeling teleseme be connected respectively with each front-end detector; Control center then can read the traffic flow data of the current collection period stored in each demand modeling teleseme every a collection period, and stored in central database.
Preferably, in a particular embodiment of the present invention, described collection period is more than or equal to 3 minutes.Such as, described collection period can be 3 minutes, 4 minutes, 5 minutes or 10 minutes etc.
Step 103, control center obtains current area traffic jamming state according to read traffic flow data.
In this step, control center, after reading the traffic flow data stored in each demand modeling teleseme, can obtain the current area traffic jamming state of whole presumptive area according to read traffic flow data.
In the inventive solutions, multiple method can be used to realize above-mentioned step 103.Below by for a kind of embodiment wherein, technical scheme of the present invention is described in detail.
Such as, Fig. 2 is the schematic diagram of a kind of concrete methods of realizing of step 103 in the embodiment of the present invention.As shown in Figure 2, in the preferred embodiment, described step 103 can be realized by step as described below:
Step 201, in described presumptive area, specify at least one phase place at least one crossing in advance.
In order to reflect the traffic congestion situation in whole region comparatively accurately, control center needs from presumptive area, to specify multiple main crossroads in advance in this step, and specifies at least one phase place in each main crossroads.
Such as, if in predetermined areas, the crossing the most easily got congestion is crossing A, and the some or multiple phase place in the A of this crossing easily gets congestion, then the one or more phase places in the A of crossing can be set to designated phase.The rest may be inferred, can specify multiple phase places at multiple crossing in described presumptive area in advance.
Step 202, calculate the traffic intensity of each designated phase according to read traffic flow data.
Due in a step 102, each front-end detector is the traffic flow data at each crossing of Real-time Collection and is stored in the demand modeling teleseme be connected with front-end detector, control center then just can read the traffic flow data of the current collection period that it stores from each demand modeling teleseme every a collection period, therefore, control center can calculate the traffic intensity of each designated phase according to read traffic flow data.
Preferably, in a particular embodiment of the present invention, the traffic intensity of each designated phase can be calculated according to formula as described below:
Wherein, described I
ijfor the traffic intensity of a jth phase place (can referred to as phase place ij, lower with) at i-th crossing of specifying in described presumptive area; Described α and β is traffic intensity correction factor, and span is [0,1]; Described q
ijfor the arrival rate that the front-end detector in phase place ij detects; Described S
ijfor the saturation volume rate of phase place ij; Described O
ijfor the time occupancy of phase place ij; Described O
sijfor the time occupancy corresponding to the saturation volume rate of phase place ij.
Step 203, traffic intensity zoning traffic intensity mean value according to each designated phase.
Due to the traffic intensity of each designated phase can be calculated in step 202., therefore in this step, control center can according to the traffic intensity zoning traffic intensity mean value of each designated phase.
Preferably, in a particular embodiment of the present invention, zoning traffic intensity mean value can be carried out according to formula as described below:
Wherein, described in
for the regional traffic average strength of described presumptive area C; Described I
cijfor the traffic intensity of the jth phase place at i-th crossing of specifying in described presumptive area C; Described m is the sum of all designated phase.
Step 204, using described regional traffic average strength as current area traffic jamming state.
By above-mentioned step 201 ~ 204, current area traffic jamming state can be obtained according to read traffic flow data.
In addition, in the preferred embodiment, before the heart determines current area traffic jamming state according to read traffic flow data in the controlling, also can comprise further:
Control center carries out misdata Screening Treatment, smoothing processing and prediction processing to read traffic flow data, thus eliminate the misdata that may exist in the traffic flow data that reads, and be convenient to carry out follow-up calculating.
Step 104, when current area traffic jamming state meets default demand modeling trigger condition, control center formulates regional traffic demand modeling strategy, and described regional traffic demand modeling strategy is sent to the demand modeling teleseme of specifying.
In a particular embodiment of the present invention, described demand modeling trigger condition can preset according to practical situations.
In the inventive solutions, multiple method can be used to realize above-mentioned step 104.Below by for a kind of specific implementation wherein, technical scheme of the present invention is described in detail.
Such as, Fig. 3 is the schematic diagram of a kind of concrete methods of realizing of step 104 in the embodiment of the present invention.As shown in Figure 3, in the preferred embodiment, described step 104 can be realized by step as described below:
Step 301, judges whether current area traffic jamming state meets the one-level transport need preset and control trigger condition, if so, then performs step 302; Otherwise, perform step 305.
In this step, will first judge whether current area traffic jamming state meets the one-level transport need preset and control trigger condition.If meet one-level transport need to control trigger condition, then perform step 302; Otherwise, perform step 305.
In addition, in a particular embodiment of the present invention, described one-level transport need control trigger condition can preset according to practical situations.
Such as, in the preferred embodiment, described one-level transport need control trigger condition can be:
In a N continuous collection period, current regional traffic average strength
all be greater than the first default traffic intensity threshold value
and the actual traffic influx Q that detects all is greater than default one-level demand modeling startup influx Q
m1.
Wherein, described N is natural number, described N,
and Q
m1value can pre-determine according to the needs of actual application environment.
Step 302, control center formulates level-1 area transport need control strategy, and described level-1 area transport need control strategy is sent to one-level demand modeling teleseme.
Now, trigger condition is controlled because current area traffic jamming state has met the one-level transport need preset, that is, the transport need that the current peripheral crossing by described presumptive area enters described presumptive area is larger, thus there occurs the regional traffic congestion phenomenon of certain degree, so in this step, control center is by the traffic flow data at first each crossing according to the collection of each one-level front-end detector, formulate level-1 area transport need control strategy, and then described level-1 area transport need control strategy is sent to one-level demand modeling teleseme, to carry out one-level demand modeling, thus effectively reduce the transport need entering described presumptive area from the peripheral crossing of described presumptive area, to alleviate zonal traffic congestion.
Because the key alleviating above-mentioned traffic congestion is the traffic influx of the external world to presumptive area inside of control presumptive area, therefore the core of described level-1 area transport need control strategy is just signal period and each phase place split (especially flowing into the phase place of presumptive area inside) at each the peripheral crossing how set in presumptive area.
Therefore, in the inventive solutions, multiple method can be used to formulate level-1 area transport need control strategy.Below by for a kind of embodiment wherein, technical scheme of the present invention is described in detail.
Such as, Fig. 4 is a kind of schematic diagram formulating the method for level-1 area transport need control strategy in the embodiment of the present invention.As shown in Figure 4, in the preferred embodiment, described formulation level-1 area transport need control strategy can comprise step as described below:
Step 401, according to the traffic intensity at each crossing at one-level demand modeling teleseme place, determines the signal period at each crossing described.
Wherein, the described signal period refers to the rotational cycle of the various traffic signals at described crossing.
In this step, can determine that the method for signal period determines the signal period at each crossing at one-level demand modeling teleseme place according to conventional according to traffic intensity.Concrete defining method does not repeat them here.
In addition, in a particular embodiment of the present invention, the signal period at each crossing at described one-level demand modeling teleseme place can be identical, also can not be identical.
Step 402, according to the traffic flow data at each crossing that each one-level front-end detector gathers, determines the permission rate of inflow at each crossing at one-level demand modeling teleseme place.
Wherein, described permission rate of inflow is: the traffic influx allowing to enter of per hour or each data acquisition intervals.
In this step, can determine to allow the method for rate of inflow to determine the permission rate of inflow at each crossing at one-level demand modeling teleseme place according to traffic flow data according to conventional.Concrete defining method does not repeat them here.
Step 403, according to determined signal period and permission rate of inflow, each phase place split at each crossing at first order calculation demand modeling teleseme place.
By above-mentioned step 401 ~ 403, the signal period at each crossing at one-level demand modeling teleseme place and each phase place split can be determined, thus the formulation of level-1 area transport need control strategy can be completed.
Step 303, judges whether current area traffic jamming state meets the secondary transport need preset and control trigger condition, if so, then performs step 304; Otherwise, perform step 305.
In this step, will judge whether current area traffic jamming state meets the secondary transport need preset and control trigger condition.If meeting tier 2 transport need controls trigger condition, then perform step 304; Otherwise, perform step 305.
In addition, in a particular embodiment of the present invention, described secondary transport need control trigger condition can preset according to practical situations.
Such as, in the preferred embodiment, described secondary transport need control trigger condition can be:
In a N continuous collection period, current regional traffic average strength
all be greater than the second default traffic intensity threshold value
Step 304, control center formulates level-2 area transport need control strategy, and described level-2 area transport need control strategy is sent to secondary demand modeling teleseme.
Now, trigger condition is controlled because current area traffic jamming state has met the secondary transport need preset, that is, the transport need of current each main crossroads by described presumptive area is also larger, so in this step, control center is by the traffic flow data at first each crossing according to the collection of each secondary front-end detector, formulate level-2 area transport need control strategy, and then described level-2 area transport need control strategy is sent to secondary demand modeling teleseme, to carry out secondary demand modeling, thus effectively reduce the transport need of each main crossroads of described presumptive area, to alleviate zonal traffic congestion.
Because the key alleviating above-mentioned traffic congestion is the traffic influx of each main crossroads controlling presumptive area, therefore the core of described level-2 area transport need control strategy is just the signal period of each main crossroads how set in presumptive area and each phase place split.
Therefore, in the inventive solutions, multiple method can be used to formulate level-2 area transport need control strategy.Below by for a kind of embodiment wherein, technical scheme of the present invention is described in detail.
Such as, Fig. 5 is a kind of schematic diagram formulating the method for level-2 area transport need control strategy in the embodiment of the present invention.As shown in Figure 5, in the preferred embodiment, described formulation level-2 area transport need control strategy can comprise step as described below:
Step 501, according to the traffic intensity at each crossing at secondary demand modeling teleseme place, determines the signal period at each crossing described.
In this step, can determine that the method for signal period determines the signal period at each crossing at secondary demand modeling teleseme place according to conventional according to traffic intensity.Concrete defining method does not repeat them here.
In addition, in a particular embodiment of the present invention, the signal period at each crossing at described secondary demand modeling teleseme place can be identical, also can not be identical.
Step 502, according to the traffic flow data at each crossing that each secondary front-end detector gathers, determines the permission rate of inflow at each crossing at secondary demand modeling teleseme place.
In this step, can determine to allow the method for rate of inflow to determine the permission rate of inflow at each crossing at secondary demand modeling teleseme place according to traffic flow data according to conventional.Concrete defining method does not repeat them here.
Step 503, according to determined signal period and permission rate of inflow, calculates each phase place split at each crossing at secondary demand modeling teleseme place.
By above-mentioned step 501 ~ 503, the signal period at each crossing at secondary demand modeling teleseme place and each phase place split can be determined, thus the formulation of level-2 area transport need control strategy can be completed.
Step 305, judges whether current area traffic jamming state meets transport need and control termination condition, if so, then performs step 306; Otherwise, after postponing a delay period, return and perform step 301.
In this step, will judge whether current area traffic jamming state meets transport need and control termination condition.Be met if transport need controls termination condition, then will perform step 306; Otherwise, then after delay delay period, then execution step 301 will be returned.
Preferably, in a particular embodiment of the present invention, described delay period can be N number of collection period (wherein, N is natural number), also can be the time interval that other presets.
Preferably, in a particular embodiment of the present invention, described transport need control termination condition can preset according to practical situations.
Such as, in the preferred embodiment, described transport need control termination condition can be:
In a N continuous collection period, current regional traffic average strength
all be less than the 3rd default traffic intensity threshold value
and the actual traffic influx Q that detects all is less than default one-level demand modeling and terminates influx Q
m2.
Wherein, described N is natural number.Described N,
and Q
m2value all can pre-determine according to the needs of actual application environment.
Step 306, control center sends to one-level demand modeling teleseme and secondary demand modeling teleseme recovers instruction, makes described one-level demand modeling teleseme and secondary demand modeling teleseme recover to perform initial traffic control scheme according to recovering instruction.
Wherein, described initial traffic control scheme refers to: before current area traffic jamming state meets default demand modeling trigger condition, original traffic control scheme that described one-level demand modeling teleseme and secondary demand modeling teleseme are performing respectively.
Such as, if before current area traffic jamming state meets default demand modeling trigger condition, performed by described one-level demand modeling teleseme is multi-period fixed cycle control program (namely described initial traffic control scheme is multi-period fixed cycle control program), then after described one-level demand modeling teleseme receives recovery instruction, recovery is performed described multi-period fixed cycle control program by described one-level demand modeling teleseme.
Again such as, if before current area traffic jamming state meets default demand modeling trigger condition, performed by described secondary demand modeling teleseme is Coordinated Control Scheme (namely described initial traffic control scheme is Coordinated Control Scheme), then after described secondary demand modeling teleseme receives recovery instruction, recovery is performed described Coordinated Control Scheme by described secondary demand modeling teleseme.
Preferably, in a particular embodiment of the present invention, described initial traffic control scheme can be: before step 104, be stored in advance in the traffic control scheme in described one-level demand modeling teleseme and secondary demand modeling teleseme.
Due to the judgement according to step 305, current area traffic jamming state has met transport need and has controlled termination condition, the i.e. not domain of the existence problem of blocking up in presumptive area, now also just there is no need to perform level-1 area transport need control strategy and/or level-2 area transport need control strategy again, so, in this step, recovery instruction can be sent to one-level demand modeling teleseme and secondary demand modeling teleseme by control center, thus make described one-level demand modeling teleseme and secondary demand modeling teleseme recover to perform initial traffic control scheme.
By above-mentioned step 301 ~ 306, can judge whether current area traffic jamming state meets the demand modeling trigger condition preset, and when current area traffic jamming state meets default demand modeling trigger condition, regional traffic demand modeling strategy is formulated by control center, and described regional traffic demand modeling strategy is sent to the demand modeling teleseme of specifying, i.e. one-level demand modeling teleseme and/or secondary demand modeling teleseme.
Step 105, the regional traffic demand modeling strategy received by described demand modeling teleseme of specifying performs.
Preferably, in a particular embodiment of the present invention, described demand modeling teleseme of specifying can be: one-level demand modeling teleseme and/or secondary demand modeling teleseme.
Preferably, in a particular embodiment of the present invention, because three grades of demand modeling telesemes are arranged at each secondary crossing of described presumptive area, each crossing on each bar secondary distributor road of i.e. described presumptive area inside, therefore control center is not to described three grades of demand modeling teleseme sending zone transport need control strategies, and described three grades of demand modeling telesemes will automatically perform bottleneck control strategy.
Wherein, described bottleneck control strategy is:
In advance queuing detecting device is set on the exit ramp at each crossing;
When described queuing detecting device has detected that stoppage of vehicle is near described queuing detecting device, then represent that blocking up has appearred in this crossing, now, the entrance phase green time of this exit ramp can have been reduced according to the time step preset.
By performing above-mentioned bottleneck control strategy, described three grades of demand modeling telesemes can alleviate the traffic jam issue on each secondary crossing of described presumptive area automatically.
As from the foregoing, in traffic demand control method in the present invention, owing to being provided with demand modeling teleseme and front-end detector at each predetermined crossing; The traffic flow data at each each crossing of front-end detector Real-time Collection stored in the demand modeling teleseme connected separately, control center then reads the traffic flow data of the current collection period stored in each demand modeling teleseme every a collection period, therefore control center can obtain current area traffic jamming state according to read traffic flow data.When current area traffic jamming state meets default demand modeling trigger condition, formulated regional traffic demand modeling strategy can be sent to the demand modeling teleseme of specifying by control center, and described demand modeling teleseme of specifying can perform received regional traffic demand modeling strategy, thus the traffic congestion of whether region property can be judged in presumptive area, and when the traffic congestion of region property, automatic control adjustment enters the volume of traffic of presumptive area and main crossroads, zonal traffic congestion can be alleviated effectively.
Further, due in above-mentioned further technical scheme, regional traffic demand modeling is divided in order to three ranks, and the traffic influx of presumptive area is entered by the peripheral crossing that one-level demand modeling teleseme controls presumptive area, the traffic influx of the main crossroads in presumptive area is controlled by secondary demand modeling teleseme, also bottleneck control strategy is used to control the traffic influx at the secondary crossing in presumptive area by three grades of demand modeling telesemes, thus can classification regulation and control presumptive area peripheral crossing, the traffic influx at main crossroads and secondary crossing, therefore zonal traffic congestion can more effectively be alleviated.
In addition, in the inventive solutions, also proposed a kind of transport need control system.
Fig. 6 is the structural representation of the transport need control system in the embodiment of the present invention.As shown in Figure 6, the transport need control system in the embodiment of the present invention comprises: control center 61, the multiple demand modeling teleseme 62 being arranged on each predetermined crossing of presumptive area and multiple front-end detector 63.
Wherein, described front-end detector 63, for the traffic flow data at each crossing of Real-time Collection, and by gathered traffic flow data stored in connected demand modeling teleseme 62;
Described control center 61, for reading the traffic flow data of the current collection period stored in demand modeling teleseme 62 every a collection period, obtains current area traffic jamming state according to read traffic flow data; Also for when current area traffic jamming state meets default demand modeling trigger condition, formulate regional traffic demand modeling strategy, and described regional traffic demand modeling strategy is sent to the demand modeling teleseme 62 of specifying;
Described demand modeling teleseme 62, for storing the traffic flow data at each crossing of connected front-end detector Real-time Collection, also for performing received regional traffic demand modeling strategy.
Preferably, in a particular embodiment of the present invention, described demand modeling teleseme 62 comprises: one-level demand modeling teleseme, secondary demand modeling teleseme and three grades of demand modeling telesemes.
Described front-end detector 63 comprises: one-level front-end detector, secondary front-end detector and three grades of front-end detector.
Preferably, in a particular embodiment of the present invention,
Described one-level demand modeling teleseme and one-level front-end detector are arranged at each peripheral crossing of described presumptive area;
Described secondary demand modeling teleseme and secondary front-end detector are arranged at each main crossroads of described presumptive area;
Described three grades of demand modeling telesemes and three grades of front-end detector are arranged at each secondary crossing of described presumptive area.
Preferably, in a particular embodiment of the present invention, described demand modeling teleseme of specifying is: one-level demand modeling teleseme and/or secondary demand modeling teleseme.
Preferably, in a particular embodiment of the present invention,
Described control center 61, also for specifying at least one phase place at least one crossing in described presumptive area in advance; The traffic intensity of each designated phase is calculated according to read traffic flow data; According to the traffic intensity zoning traffic intensity mean value of each designated phase; Using described regional traffic average strength as current area traffic jamming state.
Preferably, in a particular embodiment of the present invention,
Described control center 61, also for carrying out misdata Screening Treatment, smoothing processing and prediction processing to read traffic flow data.
Preferably, in a particular embodiment of the present invention,
Described control center 61, time also for meeting default one-level transport need control trigger condition when current area traffic jamming state, formulate level-1 area transport need control strategy, and described level-1 area transport need control strategy is sent to one-level demand modeling teleseme; When current area traffic jamming state meets default secondary transport need control trigger condition, formulate level-2 area transport need control strategy, and described level-2 area transport need control strategy is sent to secondary demand modeling teleseme; When current area traffic jamming state meets transport need control termination condition, send to one-level demand modeling teleseme and secondary demand modeling teleseme and recover instruction, make described one-level demand modeling teleseme and secondary demand modeling teleseme recover to perform initial traffic control scheme according to described recovery instruction.
Preferably, in a particular embodiment of the present invention, described three grades of demand modeling telesemes, also for performing bottleneck control strategy.
In summary, in traffic demand control method provided in the present invention and system, owing to being provided with demand modeling teleseme and front-end detector at each predetermined crossing; Each front-end detector can each crossing of Real-time Collection traffic flow data and stored in the demand modeling teleseme connected separately, control center then can read the traffic flow data of the current collection period stored in each demand modeling teleseme every a collection period, make control center can obtain current area traffic jamming state according to read traffic flow data.When current area traffic jamming state meets default demand modeling trigger condition, formulated regional traffic demand modeling strategy can be sent to the demand modeling teleseme of specifying by control center, and described demand modeling teleseme of specifying can perform received regional traffic demand modeling strategy, thus the traffic congestion of whether region property can be judged in presumptive area, and when the traffic congestion of region property, automatic control adjustment enters the volume of traffic of presumptive area and main crossroads, zonal traffic congestion can be alleviated effectively.
Further, due in above-mentioned further technical scheme, regional traffic demand modeling is divided in order to three ranks, and the traffic influx of presumptive area is entered by the peripheral crossing that one-level demand modeling teleseme controls presumptive area, the traffic influx of the main crossroads in presumptive area is controlled by secondary demand modeling teleseme, also bottleneck control strategy is used to control the traffic influx at the secondary crossing in presumptive area by three grades of demand modeling telesemes, thus can classification regulation and control presumptive area peripheral crossing, the traffic influx at main crossroads and secondary crossing, therefore zonal traffic congestion can more effectively be alleviated.
The foregoing is only preferred embodiment of the present invention, be not intended to limit protection scope of the present invention.Within the spirit and principles in the present invention all, any amendment done, equivalent replacement and improvement etc., all should be included within protection scope of the present invention.
Claims (17)
1. a traffic demand control method, is characterized in that, the method comprises:
A, demand modeling teleseme and front-end detector are set at each predetermined crossing of presumptive area;
The traffic flow data at B, each each crossing of front-end detector Real-time Collection stored in the demand modeling teleseme connected separately, control center reads the traffic flow data of the current collection period stored in each demand modeling teleseme every a collection period;
C, control center obtain current area traffic jamming state according to read traffic flow data;
D, when current area traffic jamming state meets default demand modeling trigger condition, control center formulates regional traffic demand modeling strategy, and described regional traffic demand modeling strategy is sent to the demand modeling teleseme of specifying;
Regional traffic demand modeling strategy received by E, described demand modeling teleseme of specifying perform;
Wherein, described demand modeling teleseme comprises: one-level demand modeling teleseme, secondary demand modeling teleseme;
Described front-end detector comprises: one-level front-end detector, secondary front-end detector; And
Described steps A comprises:
At each peripheral crossing of described presumptive area, one-level demand modeling teleseme and one-level front-end detector are set; Each the peripheral crossing controlling described presumptive area by one-level demand modeling teleseme enters the traffic influx of described presumptive area;
At each main crossroads of described presumptive area, secondary demand modeling teleseme and secondary front-end detector are set; The traffic influx of each main crossroads in described presumptive area is controlled by secondary demand modeling teleseme; And
Described step D comprises:
D1, judge that whether current area traffic jamming state meets the one-level transport need preset and control trigger condition, if so, then perform step D2; Otherwise, perform step D5;
D2, control center formulate level-1 area transport need control strategy, and described level-1 area transport need control strategy is sent to one-level demand modeling teleseme;
D3, judge that whether current area traffic jamming state meets the secondary transport need preset and control trigger condition, if so, then perform step D4; Otherwise, perform step D5;
D4, control center formulate level-2 area transport need control strategy, and described level-2 area transport need control strategy is sent to secondary demand modeling teleseme;
D5, judge current area traffic jamming state whether meet transport need control termination condition, if so, then perform step D6; Otherwise, after postponing a delay period, return and perform step D1;
D6, control center send to one-level demand modeling teleseme and secondary demand modeling teleseme and recover instruction, make described one-level demand modeling teleseme and secondary demand modeling teleseme recover to perform initial traffic control scheme according to described recovery instruction.
2. the method for claim 1, is characterized in that,
Described demand modeling teleseme also comprises: three grades of demand modeling telesemes;
Described front-end detector also comprises: three grades of front-end detector; And
Described steps A also comprises:
At each secondary crossing of presumptive area, three grades of demand modeling telesemes and three grades of front-end detector are set; And
Described three grades of demand modeling telesemes perform bottleneck control strategy.
3. method as claimed in claim 2, is characterized in that:
Described collection period is more than or equal to 3 minutes.
4. method as claimed in claim 1 or 2, it is characterized in that, described step C comprises:
At least one phase place at least one crossing is specified in advance in described presumptive area;
The traffic intensity of each designated phase is calculated according to read traffic flow data;
According to the traffic intensity zoning traffic intensity mean value of each designated phase;
Using described regional traffic average strength as current area traffic jamming state.
5. method as claimed in claim 4, is characterized in that, the formula calculating the traffic intensity of each designated phase described is:
Wherein, described I
ijfor the traffic intensity of the jth phase place at i-th crossing of specifying in described presumptive area; Described α and β is traffic intensity correction factor, and span is [0,1]; Described q
ijfor the arrival rate that the front-end detector in a jth phase place at described i-th crossing detects; Described S
ijfor the saturation volume rate of a jth phase place at described i-th crossing; Described O
ijfor the time occupancy of a jth phase place at described i-th crossing; Described O
sijfor the time occupancy corresponding to the saturation volume rate of a jth phase place at described i-th crossing.
6. method as claimed in claim 5, it is characterized in that, the formula calculating described regional traffic average strength is:
Wherein, described in
for the regional traffic average strength of described presumptive area C; Described I
cijfor the traffic intensity of the jth phase place at i-th crossing of specifying in described presumptive area C; Described m is the sum of all designated phase.
7. method as claimed in claim 1 or 2, it is characterized in that, before described step C, the method also comprises further:
Control center carries out misdata Screening Treatment, smoothing processing and prediction processing to read traffic flow data.
8. method as claimed in claim 2, is characterized in that, described one-level transport need controls trigger condition and is:
In a N continuous collection period, current regional traffic average strength
all be greater than the first default traffic intensity threshold value
and the actual traffic influx Q that detects all is greater than default one-level demand modeling startup influx Q
m1; Wherein, described N is natural number.
9. method as claimed in claim 2, it is characterized in that, described formulation level-1 area transport need control strategy comprises:
According to the traffic intensity at each crossing at one-level demand modeling teleseme place, determine the signal period at each crossing described;
According to the traffic flow data at each crossing that each one-level front-end detector gathers, determine the permission rate of inflow at each crossing at one-level demand modeling teleseme place;
According to determined signal period and permission rate of inflow, each phase place split at each crossing at first order calculation demand modeling teleseme place.
10. method as claimed in claim 2, is characterized in that, described secondary transport need controls trigger condition and is:
In a N continuous collection period, current regional traffic average strength
all be greater than the second default traffic intensity threshold value
11. methods as claimed in claim 2, is characterized in that, described formulation level-2 area transport need control strategy comprises:
According to the traffic intensity at each crossing at secondary demand modeling teleseme place, determine the signal period at each crossing described;
According to the traffic flow data at each crossing that each secondary front-end detector gathers, determine the permission rate of inflow at each crossing at secondary demand modeling teleseme place;
According to determined signal period and permission rate of inflow, calculate each phase place split at each crossing at secondary demand modeling teleseme place.
12. methods as claimed in claim 2, is characterized in that:
Described delay period is N number of collection period; Wherein, N is natural number.
13. methods as claimed in claim 2, is characterized in that, described transport need controls termination condition and is:
In a N continuous collection period, current regional traffic average strength
all be less than the 3rd default traffic intensity threshold value
and the actual traffic influx Q that detects all is less than default one-level demand modeling and terminates influx Q
m2; Wherein, described N is natural number.
14. 1 kinds of transport need control system, is characterized in that, this system comprises: control center, the multiple demand modeling teleseme being arranged on each predetermined crossing of presumptive area and multiple front-end detector; Wherein,
Described front-end detector, for the traffic flow data at each crossing of Real-time Collection, and by gathered traffic flow data stored in connected demand modeling teleseme; Described front-end detector comprises: one-level front-end detector, secondary front-end detector;
Described control center, for reading the traffic flow data of the current collection period stored in each demand modeling teleseme every a collection period, obtains current area traffic jamming state according to read traffic flow data; Also for when current area traffic jamming state meets default demand modeling trigger condition, formulate regional traffic demand modeling strategy, and described regional traffic demand modeling strategy is sent to the demand modeling teleseme of specifying: when current area traffic jamming state meets default one-level transport need control trigger condition, formulate level-1 area transport need control strategy, and described level-1 area transport need control strategy is sent to one-level demand modeling teleseme; When current area traffic jamming state meets default secondary transport need control trigger condition, formulate level-2 area transport need control strategy, and described level-2 area transport need control strategy is sent to secondary demand modeling teleseme; When current area traffic jamming state meets transport need control termination condition, send to one-level demand modeling teleseme and secondary demand modeling teleseme and recover instruction, make described one-level demand modeling teleseme and secondary demand modeling teleseme recover to perform initial traffic control scheme according to described recovery instruction;
Described demand modeling teleseme, for storing the traffic flow data at each crossing of connected front-end detector Real-time Collection, also for performing received regional traffic demand modeling strategy; Described demand modeling teleseme comprises: one-level demand modeling teleseme, secondary demand modeling teleseme;
Wherein, described one-level demand modeling teleseme and described one-level front-end detector are arranged at each peripheral crossing of described presumptive area; Each the peripheral crossing controlling described presumptive area by described one-level demand modeling teleseme enters the traffic influx of described presumptive area;
Described secondary demand modeling teleseme and described secondary front-end detector are arranged at each main crossroads of described presumptive area; The traffic influx of each main crossroads in described presumptive area is controlled by described secondary demand modeling teleseme.
15. systems as claimed in claim 14, is characterized in that,
Described demand modeling teleseme also comprises: three grades of demand modeling telesemes;
Described front-end detector also comprises: three grades of front-end detector;
Described three grades of demand modeling telesemes and three grades of front-end detector are arranged at each secondary crossing of described presumptive area;
Described three grades of demand modeling telesemes are for performing bottleneck control strategy.
16. systems as claimed in claim 14, is characterized in that:
Described control center, also for specifying at least one phase place at least one crossing in described presumptive area in advance; The traffic intensity of each designated phase is calculated according to read traffic flow data; According to the traffic intensity zoning traffic intensity mean value of each designated phase; Using described regional traffic average strength as current area traffic jamming state.
17. systems as claimed in claim 14, is characterized in that:
Described control center, also for carrying out misdata Screening Treatment, smoothing processing and prediction processing to read traffic flow data.
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| CN106297323B (en) * | 2016-09-30 | 2021-07-20 | 中星技术股份有限公司 | Vehicle flow monitoring method and system |
| CN106934107A (en) * | 2017-02-20 | 2017-07-07 | 北京百度网讯科技有限公司 | Traffic trip scenario building method, device, equipment and storage medium |
| CN108965810A (en) * | 2018-07-23 | 2018-12-07 | 广州市高科通信技术股份有限公司 | Intensive place intelligent monitoring dispatching management information system and method |
| CN111243265B (en) | 2018-11-28 | 2021-07-06 | 北京嘀嘀无限科技发展有限公司 | Method and system for determining regional traffic information |
| CN110390817A (en) * | 2019-09-18 | 2019-10-29 | 江苏广宇协同科技发展研究院有限公司 | A kind of field level traffic signals coordinate system and device |
| CN115424447A (en) * | 2022-11-04 | 2022-12-02 | 华路易云科技有限公司 | Signal control method and signal control platform supporting autonomous configuration threshold |
| CN115547054B (en) * | 2022-11-29 | 2023-03-21 | 湖南工商大学 | Traffic guidance system based on big data |
| CN116311990B (en) * | 2023-03-27 | 2023-12-22 | 南京莱斯信息技术股份有限公司 | Signal control method based on fusion of Internet data and detection data |
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