CN104952258A - Traffic event influence range calculation method based on traffic scene radar - Google Patents

Abstract

The invention belongs to the technical field of city expressway traffic management, and particularly relates to a traffic event influence range calculation method based on traffic scene radar. The method comprises the following steps of installing the traffic scene radar in an expressway region to be detected, and debugging and setting the detection range; using the traffic scene radar to obtain positioning data of moving vehicles in the detection region; calculating the running speed of the single moving vehicle in the detection region at one time interval; calculating the average running speed of the road section in the detection region at one time interval; adopting a threshold method for judging the traffic event; calculating the duration of the traffic event; obtaining the influence range of the traffic event. The method has the advantages that the influence range of the current traffic event can be fast known, so that a traffic manager can reasonably define the traffic flow division position of the current jamming road, the goals of preventing the occurrence of the secondary accidents and the jamming and reducing the influence of the accidents and the running delay are achieved, and the event disposal decision level of the traffic manager and the intellectualization level are improved.

Description

Based on the traffic events coverage computing method of traffic scene radar

Technical field

The invention belongs to urban expressway traffic administrative skill field, be specifically related to a kind of traffic events coverage computing method based on traffic scene radar.

Background technology

Through street carries the traffic burden of 50% nearly in the reason system of city, have the advantages that speed is fast, closed, traffic shock wave travel path is single, therefore on through street once occur traffic events, a certain section of through street will be caused even to enter the state of paralysis that blocks up in whole piece through street, and then make whole urban transportation in paralyzed state.Because through street is enclosed, after traffic events occurs, assembly section, wave direction upstream can be produced and spread, vehicle queue is constantly extended, involve other Entrance ramps of upstream, seriously can affect related roads traffic behavior, thus urban road congestion is aggravated.

The traffic information collection of urban road is the basis of urban dynamic traffic management.At present, conventional checkout equipment has video detection, microwave detection, Coil Detector, geomagnetism detecting, but all there is drawback miscellaneous in these detection meanss of practical application.As video detects the frequent loss of data of impact etc. that interference is comparatively large, the microwave detection response time is longer, Coil Detector can destroy road surface, geomagnetism detecting is subject to radio communication by light.In addition, for the developing direction of current urban transportation, judge whether road is in the demand that congestion status also can not meet traffic administration described above merely, more demand is to solve current congestion in road problem.This just needs the congestion in road scope decision-making system that can have a set of convenient and efficient, can make when traffic events occurs, Current traffic events affecting scope can be known rapidly, so that the traffic diverging position of traffic administration person's reasonable definition cur-rent congestion road, thus reach and avoid second accident and blocking up occurs, the impact of minimizing accident and the object of traffic delay, to improve level of decision-making and the intelligent level of the disposal of traffic administration person's event.

Summary of the invention

Object of the present invention is for overcoming above-mentioned the deficiencies in the prior art, a kind of traffic events coverage computing method based on traffic scene radar of more efficient quick are provided, it can make when traffic events occurs, Current traffic events affecting scope can be known rapidly, so that the traffic diverging position of traffic administration person's reasonable definition cur-rent congestion road, thus reach and avoid second accident and blocking up occurs, the impact of minimizing accident and the object of traffic delay, to improve level of decision-making and the intelligent level of the disposal of traffic administration person's event.

For achieving the above object, present invention employs following technical scheme:

Based on traffic events coverage computing method for traffic scene radar, comprise the following steps:

1) in through street, traffic scene radar is installed in region to be measured, and debugging and setting sensing range;

2) on region to be measured, through street with continuously impartial time interval demarcation interval, utilize this traffic scene radar to gather point direction speed data of all moving vehicles in each interval of continuous print in region to be measured, through street, this point of direction speed data comprises the travel speed of single moving vehicle along direction, parallel track and the travel speed in direction, vertical track;

3) calculate the travel speed of single moving vehicle in this interval, one, region to be measured place, and then obtain the average overall travel speed of all moving vehicles in this interval;

4) according to the average overall travel speed of moving vehicles all in above-mentioned interval, judge that whether vehicle average overall travel speed in this interval is lower than the minimum traveling threshold speed of through street vehicle; If so, then judge this time interval residing interval interior generation traffic events, turn to step 5); If not, then repeat step 3);

5), when occurring according to traffic events, the average overall travel speed of all moving vehicles in each interval after interval residing for this traffic events, judges that whether its average overall travel speed is higher than through street normal vehicle operation threshold speed; If not, then continue this step; If so, step 6 is entered);

6), calculating this previous interval higher than interval residing for normal travel speed threshold value to there is time interval summation interval residing for traffic events the earliest, obtaining the duration of this traffic events, and entering step 7);

7) vehicle queue length, caused with traffic events, interval average overall travel speed and traffic events duration residing for this traffic events when there is not traffic events, obtain the length in the region to be measured, through street that this traffic events affects, determine the coverage of traffic events.

Described step 2) in,

Being numbered the station-keeping data that i detects vehicle during note t1 moment is (X _{t1, i}, Y _{t1, i});

Being numbered the station-keeping data that i detects vehicle during note t2 moment is (X _{t2, i}, Y _{t2, i});

The like, and be spaced apart 50ms with every two adjacent moment;

And step 3) in, the travel speed computing method calculating single moving vehicle in first interval being made up of the time interval in t1 moment and t2 moment are as follows, and each interval computation is in like manner afterwards:

${V_i}^{2-1}=\mathrm{\ΔS}/\mathrm{\Δt}=72\sqrt{{(X_{t2,i}-X_{t1,i})}^2+{(Y_{t2,i}-Y_{t1,i})}^2}$

Wherein: V _i ^2-1be numbered i to detect travel speed in the t1 moment of vehicle and the interval in t2 moment, unit: km/h;

In first interval be made up of the time interval in t1 moment and t2 moment, the average overall travel speed computing formula in section is as follows, and each interval computation is in like manner afterwards:

$V^{2-1}=\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{V_i}^{2-1}/n$

Wherein:

V _i ^2-1be numbered i to detect travel speed in the t1 moment of vehicle and the interval in t2 moment;

N is detection vehicle fleet all in the t1 moment of surveyed area and the interval in t2 moment.

Described step 4) in, vehicle minimum traveling threshold speed in described through street is V _minif, V ^2-1<V _min, then differentiate that traffic events occurs in this region.

Described step 5) in, the duration of described calculating traffic events comprises the following steps:

A), the average overall travel speed V that all vehicles in rear surveyed area subsequent time intervals occur traffic events is calculated successively ^3-2, V ^4-3.V ^(j+1)-j;

B), judge that average overall travel speed V in rear surveyed area subsequent time intervals occurs traffic events successively ^3-2, V ^4-3.V ^(j+1)-jwhether be greater than setting through street normal vehicle operation threshold speed V _m;

If c) V ^(j+1)-j>V _m, then the duration T computing formula of this traffic events is:

T＝(j-1)*50/(1000*3600)

Wherein, T unit: h.

Described step 7) in, describe the coverage of traffic events with the length L of range of influence, formula is as follows:

$L=L_q+\stackrel{\&OverBar;}{V}*T$

Wherein:

the average overall travel speed in this section during traffic events does not occur, and this is statistics, is obtained by the historical data statistics of the speed to traffic scene detections of radar;

T: the duration of traffic events;

L _q: the queue length caused due to traffic events; These queue length data directly detecting in traffic scene radar, exceeds its sensing range and then passes through formulae discovery below:

L _qcomputing formula:

$L_q=0.5*T*(\sqrt{1-Q/Q\max }-\sqrt{1-Q_f/Q\max })*V_f,$

Wherein, T is the traffic events duration;

There is traffic events front section multilane traffic flow of section in Q, this parameter can by obtaining the data on flows statistics of the detection of traffic scene radar;

Qmax is section basic capacity, this Qmax=2100*N (N is number of track-lines), and unit: pch/h;

Q _fthis road section capacity under actual motion condition, unit: pch/h, computing formula is as follows:

Q _f＝Qmax*f _cw*f _sw*f _hv，

Wherein, T is the traffic events duration;

There is traffic events front section multilane traffic flow of section in Q, this parameter can by obtaining the data on flows statistics of the detection of traffic scene radar;

Qmax is section basic capacity, this Qmax=2100*N (N is number of track-lines), and unit: pch/h;

Q _fthis road section capacity under actual motion condition, unit: pch/h, computing formula is as follows:

Q _f＝Qmax*f _cw*f _sw*f _hv，

Wherein, f _cwthat driving width is to the correction factor of the traffic capacity; f _swthe correction factor of side clearway to the traffic capacity; f _hvit is the correction factor of the paired traffic capacity of traffic group.

Major advantage of the present invention is: the present invention make use of the feature that traffic scene radar responds, precision is high fully, the broad beam sent with it is to cover all tracks, in conjunction with traffic flow basic theory, the section basis obtaining traffic events coverage realized under traffic events blocks up scope definition.By aforesaid operations mode, traffic administration person is when traffic events occurs, Current traffic events affecting scope can be known rapidly, to define the traffic diverging position of cur-rent congestion road fast and reasonably, thus reach and avoid second accident and blocking up occurs, the impact of minimizing accident and the object of traffic delay, to improve level of decision-making and the intelligent level of the disposal of traffic administration person's event.

Accompanying drawing explanation

Fig. 1 is method flow sketch of the present invention;

Fig. 2 is that the coordinate system of traffic scene radar sets up schematic diagram;

Fig. 3 calculates the time shaft division figure that there is the average overall travel speed of moving vehicle in each interval place;

Each application point chosen position schematic diagram when Fig. 4 is traffic organization under traffic events.

Embodiment

For ease of understanding, composition graphs 1-4 does following further describing to specific embodiment of the invention process herein:

Should based on the traffic events coverage computing method of traffic scene radar, as shown in Figure 1-2, its method comprises the following steps:

1), in through street traffic scene radar is installed in region to be measured, and debugging and setting sensing range;

2) traffic scene radar, is utilized to obtain point direction speed data of moving vehicle in surveyed area;

3) travel speed of single moving vehicle in the time interval of surveyed area, is calculated;

4) average overall travel speed in section in the time interval of surveyed area, is calculated;

5), threshold method is adopted to differentiate traffic events;

6) duration of traffic events, is calculated;

7) coverage of traffic events, is calculated.

Traffic scene radar covers all tracks by broad beam, carrys out accurate positioned vehicle, accurately locate with realize target by range finding, angle measurement and exclusive Multitarget Tracking, error is no more than 0.25 meter, precision is high, and the response time is short, and surveyed area maximum magnitude is 240 meters.

The speed data in point direction of moving vehicle in surveyed area, for the ease of the description of embodiment, is following mark to parameter:

Being numbered the station-keeping data that i detects vehicle during note t1 moment is (X _{t1, i}, Y _{t1, i});

Being numbered the station-keeping data that i detects vehicle during note t2 moment is (X _{t2, i}, Y _{t2, i});

The like, and be spaced apart 50ms with every two adjacent moment.

Step 3) in, the travel speed computing method calculating single moving vehicle in first interval being made up of the time interval in t1 moment and t2 moment are as follows, and each interval computation is in like manner afterwards:

${V_i}^{2-1}=\mathrm{\&Delta;S}/\mathrm{\&Delta;t}=72\sqrt{{(X_{t2,i}-X_{t1,i})}^2+{(T_{t2,i}-Y_{t1,i})}^2}$

Wherein: be numbered i to detect travel speed in the t1 moment of vehicle and the interval in t2 moment, unit: km/h;

In first interval be made up of the time interval in t1 moment and t2 moment, the average overall travel speed computing formula in section is as follows, and each interval computation is in like manner afterwards:

$V^{2-1}=\underset{i=1}{\overset{n}{\mathrm{\&Sigma;}}}{V_i}^{2-1}/n$

Wherein:

V _i ^2-1be numbered i to detect travel speed in the t1 moment of vehicle and the interval in t2 moment;

N is detection vehicle fleet all in the t1 moment of surveyed area and the interval in t2 moment.

As the through street for high vehicle speeds, it is the most objective as the minimum travel speed of setting of fast traffic lane that this sentences 10km/h, then once V ^2-1by threshold method, <10km/h, then differentiate that traffic events occurs in this region.

The duration calculating traffic events comprises the following steps.

Average overall travel speed V in surveyed area subsequent time intervals after a, successively calculating traffic events occur ^3-2, V ^4-3.V ^(j+1)-j.As shown in Figure 3, V _i ^2-1x mark shown in interval is traffic events nidus.

B, successively judge traffic events occur after average overall travel speed V in surveyed area subsequent time intervals ^3-2, V ^4-3.V ^(j+1)-jwhether be greater than the normal speed value 45km/h of setting.

If c is V ^(j+1) _- ^j>45km/h, then duration T (unit: hour) computing formula of this traffic events is:

T＝(j-1)*50/(1000*3600)

Calculate the coverage of traffic events, because through street is enclosed, describe the coverage of traffic events at this with the length L of range of influence.Formula is as follows:

$L=L_q+\stackrel{\&OverBar;}{V}*T$

Wherein:

the average overall travel speed in this section during traffic events does not occur, and this is statistics, is obtained by the historical data statistics of the speed to traffic scene detections of radar.

T: the duration of traffic events.

L _q: the queue length caused due to traffic events.This queue length data traffic scene radar can directly detect, but its sensing range only has 240m, goes beyond the scope if super, needs by formulae discovery below.

L _qthe computing formula of queue length:

$L_q=0.5*T*(\sqrt{1-Q/Q\max }-\sqrt{1-Q_f/Q\max })*V_f,$

Wherein, T is the traffic events duration; There is traffic events front section multilane traffic flow of section in Q, this parameter can by obtaining the data on flows statistics of the detection of traffic scene radar; Qmax is section basic capacity, this Qmax=2100*N (N is number of track-lines), and unit: pch/h; Q _fthe actual capacity in section.Actual capacity is the traffic capacity under actual motion condition, unit: pch/h, and computing formula is as follows:

Q _f=Qmax*f _cw* f _sw* f _hv, wherein, f _cwthat driving width is to the correction factor of the traffic capacity; f _swthe correction factor of side clearway to the traffic capacity; f _hvit is the correction factor of the paired traffic capacity of traffic group.

Under above-mentioned road conditions process prerequisite, traffic organization under traffic events can be carried out.Also namely affect for traffic events the Entrance ramp involved and carry out traffic diverging and management, avoid vehicle queue is worse off.

After there is traffic hazard, the essential information of traffic events need be informed at the application point joint that can carry out traffic organization and take appropriate measures, reducing the loss that traffic events causes, alleviate traffic congestion, reduce traffic delay.Its traffic organization process comprises the following steps:

A, application point are classified

Different with the traffic organization measures taked according to its influence degree, application point is divided three classes: information prompting point, current-limiting points, throttle point.

Information prompting point is the Entrance ramp being in the section, upstream that traffic events occurs, and is not subject to traffic events impact, does not need to take compulsory measure, only need remind.

Current-limiting points is the impact affected by traffic events, but is not subject to the Entrance ramp in the section, upstream of the event that affects of queue length, needs restricted part wagon flow to sail into.

Dam the Entrance ramp in the section, upstream being some the event that affects being subject to queue length, forbids that wagon flow is sailed into.

The differentiation of b, application point type

1), select this certain Entrance ramp of upstream, section, then calculate the distance l of this Entrance ramp to traffic events present position _i, distance publicity is as follows:

$l_i=\sqrt{{(x_i-x)}^2+{(y_i-y)}^2}$

Wherein: (x, y) is the position coordinates of traffic events; (x _i, y _i) be the position coordinates of i-th Entrance ramp in section, event upstream.

(2), application point type is differentiated:

If l _i≤ L _q, then i-th, section, event upstream Entrance ramp dams a little;

If L _q<l _i≤ L, then i-th, section, event upstream Entrance ramp is current-limiting points;

If l _i>L, then i-th, section, event upstream Entrance ramp is information prompting point.

The chosen position of each application point as shown in Figure 4.

On the basis of the above, corresponding traffic organization measures can be taked for the function difference of all kinds of application point:

1), information prompting point: the traffic organization measures taking information guiding, issue prompting vehicle careful information of sailing this ring road into by induced screen, advise that it detours;

2), current-limiting points: the traffic organization measures taking current limliting, sailing into of restricted part vehicle.

3), dam a little: take the traffic organization measures dammed, limit all vehicle entrance ramps.

Embodiment:

Traffic scene radar patent embodiment:

1), in through street traffic scene radar is installed in region to be measured, and debugging and setting sensing range.

2), obtained point direction speed data of the moving target in surveyed area by traffic scene radar, default objects vehicle is target vehicle 1 and target vehicle 2, rear vehicle by that analogy;

The t1 moment: the station-keeping data (2.44,1.19) of target vehicle 1; The station-keeping data (2.40,1.15) of target vehicle 2;

The t2 moment: the station-keeping data (2.41,1.17) of target vehicle 1; The station-keeping data (2.36,1.11) of target vehicle 2.

3) surveyed area time interval also i.e. travel speed of single moving vehicle in an interval, is calculated:

Now, the translational speed of target 1:

${V_1}^{2-1}=\mathrm{\&Delta;S}/\mathrm{\&Delta;t}=72*\sqrt{{(2.41-2.44)}^2+{(1.17-1.19)}^2}=2.56\mathrm{km}/h;$

The translational speed of target 2:

${V_2}^{2-1}=\mathrm{\&Delta;S}/\mathrm{\&Delta;t}=72*\sqrt{{(2.36-2.41)}^2+{(1.11-1.15)}^2}=4.61\mathrm{km}/h;$

4) all vehicle average overall travel speeds in surveyed area section in this time interval in surveyed area t1 to t2 moment, are calculated:

$V^{2-1}=\underset{i=1}{\overset{2}{\mathrm{\&Sigma;}}}{V_i}^{2-1}/2=2.56+4.61/2=3.59\mathrm{km}/h;$

5), threshold method is adopted to differentiate traffic events; Due to V ^2-1<10km/h, there is emergent traffic incident in this section.

6), calculate traffic events successively and average overall travel speed in rear surveyed area subsequent time intervals occur:

V ^3-2＝3.76km/h；V ^4-3＝5.12km/h；V ^5-4＝5.11km/h；V ^6-5＝5.02km/h；

V ^6-7＝5.13km/h；……V ^10001-10000＝15.12km/h；V ^10002-10001＝20.81km/h；

V ^10003-10002＝30km/h；……V ^20001-20000＝39.8km/h；V ^20002-20001＝42.88km/h；

V ^20003-20002＝43.6km/h；……V ^20102-20101＝45.2km/h

7), duration of traffic events is calculated, due to V ^20102-20101=45.2km/h>45km/h, then the duration T of this traffic events is:

T＝(20102-1)*50/(1000*3600)＝0.27h

8), range of influence calculates:

The queue length that current event causes is 198 meters, within the scope of traffic scene detections of radar; This period average overall travel speed that this section during traffic events does not occur is 50km/h, so the range of influence length of traffic events is:

$L=L_q+\stackrel{\&OverBar;}{V}*T=0.198+50*0.27=13.698\mathrm{km}$

9), traffic organization application point type is determined:

This surveyed area upstream road has 7 Entrance ramps, be designated as ring road 1, ring road 2, ring road 3, ring road 4, ring road 5, ring road 6, ring road 7 respectively, corresponding distance to the distance of love scene is: 150 meters, 500 meters, 2500 meters, 7500 meters, 10550 meters, 13500 meters, 16000 meters.

Rule according to differentiating application point type:

The ring road 1 of queue length is caused to be dam a little lower than 198m current event; Be positioned at the ring road 2 at the length place, range of influence of traffic events, ring road 3, ring road 4, ring road 5, ring road 6 be current-limiting points; And ring road 7 is information prompting points.

10) traffic organization measures, taked

1), ring road 7: the traffic organization measures taking information guiding, issue prompting vehicle careful information of sailing this ring road into by induced screen, advise that it detours;

2), ring road 2, ring road 3, ring road 4, ring road 5, ring road 6: the traffic organization measures taking current limliting, sailing into of restricted part vehicle.

3), ring road 1: take the traffic organization measures dammed, limit all vehicle entrance ramps.

Claims (5)

1., based on traffic events coverage computing method for traffic scene radar, it is characterized in that comprising the following steps:

1) in through street, traffic scene radar is installed in region to be measured, and debugging and setting sensing range;

2) on region to be measured, through street with continuously impartial time interval demarcation interval, utilize this traffic scene radar to gather point direction speed data of all moving vehicles in each interval of continuous print in region to be measured, through street, this point of direction speed data comprises the travel speed of single moving vehicle along direction, parallel track and the travel speed in direction, vertical track;

3) calculate the travel speed of single moving vehicle in this interval, one, region to be measured place, and then obtain the average overall travel speed of all moving vehicles in this interval;

4) according to the average overall travel speed of moving vehicles all in above-mentioned interval, judge that whether vehicle average overall travel speed in this interval is lower than the minimum traveling threshold speed of through street vehicle; If so, then judge this time interval residing interval interior generation traffic events, turn to step 5); If not, then repeat step 3);

5), when occurring according to traffic events, the average overall travel speed of all moving vehicles in each interval after interval residing for this traffic events, judges that whether its average overall travel speed is higher than through street normal vehicle operation threshold speed; If not, then continue this step; If so, step 6 is entered);

6), calculating this previous interval higher than interval residing for normal travel speed threshold value to there is time interval summation interval residing for traffic events the earliest, obtaining the duration of this traffic events, and entering step 7);

7) vehicle queue length, caused with traffic events, interval average overall travel speed and traffic events duration residing for this traffic events when there is not traffic events, obtain the length in the region to be measured, through street that this traffic events affects, determine the coverage of traffic events.

2. a kind of traffic events coverage computing method based on traffic scene radar according to claim 1, is characterized in that: described step 2) in,

Being numbered the station-keeping data that i detects vehicle during note t1 moment is (X _{t1, i}, Y _{t1, i});

Being numbered the station-keeping data that i detects vehicle during note t2 moment is (X _{t2, i}, Y _{t2, i});

The like, and be spaced apart 50ms with every two adjacent moment;

And step 3) in, the travel speed computing method calculating single moving vehicle in first interval being made up of the time interval in t1 moment and t2 moment are as follows, and each interval computation is in like manner afterwards:

$V_i^{2-1}=\mathrm{\&Delta;S}/\mathrm{\&Delta;t}=72\sqrt{{(X_{t2,i}-X_{t1,i})}^2+{(Y_{t2,i}-Y_{t1,i})}^2}$

Wherein: be numbered i to detect travel speed in the t1 moment of vehicle and the interval in t2 moment, unit: km/h;

In first interval be made up of the time interval in t1 moment and t2 moment, the average overall travel speed computing formula in section is as follows, and each interval computation is in like manner afterwards:

$V^{2-1}=\underset{i=1}{\overset{n}{\mathrm{\&Sigma;}}}{V}_i^{2-1}/n$

Wherein:

be numbered i to detect travel speed in the t1 moment of vehicle and the interval in t2 moment;

N is detection vehicle fleet all in the t1 moment of surveyed area and the interval in t2 moment.

3. a kind of traffic events coverage computing method based on traffic scene radar according to claim 1 and 2, is characterized in that: described step 4) in, vehicle minimum traveling threshold speed in described through street is V _minif, V ^2-1<V _min, then differentiate that traffic events occurs in this region.

4. according to claim 1 and 2 a kind of based on the traffic organization method under the traffic events condition of traffic scene radar, it is characterized in that: described step 5) in, the duration of described calculating traffic events comprises the following steps:

A), the average overall travel speed V that all vehicles in rear surveyed area subsequent time intervals occur traffic events is calculated successively ^3-2, V ^4-3... .V ^(j+1)-j;

B), judge that average overall travel speed V in rear surveyed area subsequent time intervals occurs traffic events successively ^3-2, V ^4-3... .V ^(j+1)-jwhether be greater than setting through street normal vehicle operation threshold speed V _m;

If c) V ^(j+1)-j>V _m, then the duration T computing formula of this traffic events is:

T＝(j-1)*50/(1000*3600)

Wherein, T unit: h.

5. a kind of traffic events coverage computing method based on traffic scene radar according to claim 4, is characterized in that: described step 7) in, describe the coverage of traffic events with the length L of range of influence, formula is as follows:

$L=L_q+\stackrel{\&OverBar;}{V}*T$

Wherein:

the average overall travel speed in this section during traffic events does not occur, and this is statistics, is obtained by the historical data statistics of the speed to traffic scene detections of radar;

T: the duration of traffic events;

L _q: the queue length caused due to traffic events; These queue length data directly detecting in traffic scene radar, exceeds its sensing range and then passes through formulae discovery below:

L _qcomputing formula:

$L_q=0.5*T*(\sqrt{1-Q/Q\max }-\sqrt{1-Q_f/Q\max })*V_f,$

Wherein, T is the traffic events duration;

There is traffic events front section multilane traffic flow of section in Q, this parameter can by obtaining the data on flows statistics of the detection of traffic scene radar;

Qmax is section basic capacity, this Qmax=2100*N (N is number of track-lines), and unit: pch/h;

Q _fthis road section capacity under actual motion condition, unit: pch/h, computing formula is as follows:

Q _f＝Qmax*f _cw*f _sw*f _hv，

Wherein, T is the traffic events duration;

There is traffic events front section multilane traffic flow of section in Q, this parameter can by obtaining the data on flows statistics of the detection of traffic scene radar;

Qmax is section basic capacity, this Qmax=2100*N (N is number of track-lines), and unit: pch/h;

Q _fthis road section capacity under actual motion condition, unit: pch/h, computing formula is as follows:

Q _f＝Qmax*f _cw*f _sw*f _hv，

Wherein, f _cwthat driving width is to the correction factor of the traffic capacity; f _swthe correction factor of side clearway to the traffic capacity; f _hvit is the correction factor of the paired traffic capacity of traffic group.