CN112071056A - Dynamic variable speed limit control method - Google Patents
Dynamic variable speed limit control method Download PDFInfo
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- CN112071056A CN112071056A CN201910494588.3A CN201910494588A CN112071056A CN 112071056 A CN112071056 A CN 112071056A CN 201910494588 A CN201910494588 A CN 201910494588A CN 112071056 A CN112071056 A CN 112071056A
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- 238000000034 method Methods 0.000 title claims abstract description 16
- 206010039203 Road traffic accident Diseases 0.000 claims abstract description 7
- 239000011159 matrix material Substances 0.000 claims description 7
- 238000012549 training Methods 0.000 claims description 7
- 238000013528 artificial neural network Methods 0.000 claims description 3
- 238000012937 correction Methods 0.000 claims description 3
- 238000012544 monitoring process Methods 0.000 claims description 2
- 238000004088 simulation Methods 0.000 description 3
- 230000001276 controlling effect Effects 0.000 description 2
- 230000001105 regulatory effect Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0137—Measuring and analyzing of parameters relative to traffic conditions for specific applications
- G08G1/0145—Measuring and analyzing of parameters relative to traffic conditions for specific applications for active traffic flow control
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
Abstract
The invention discloses a dynamic variable speed limit control method, and belongs to the technical field of road speed limit regulation. The method comprises the steps of acquiring real-time traffic flow data of roads, analyzing the running safety of the traffic flow, judging whether the running of the traffic flow is in a dangerous state at the moment, starting variable speed limit control and the like, and actively intervening to reduce the traffic accident rate. Compared with the traditional fixed speed-limiting board, the speed-limiting board is applicable to working days, holidays and the like, and has regulation and control flexibility.
Description
Technical Field
The invention belongs to the technical field of traffic control, and particularly relates to a dynamic variable speed limit control method.
Background
The speed limit usually refers to the driving speed within a certain numerical range specified for a road section within a certain length distance, and the main purpose is to remind a driver to reasonably control the speed and prevent overspeed danger in driving on a front subsequent road section in advance. Speed limitation is an indispensable and most important ring in road transportation safety.
The conventional speed limiting method is to set up a speed limiting card, and the speed limiting method is only limited and cannot be changed according to road conditions. Under the conditions of heavy traffic traveling pressure in holidays and rapid increase of vehicle holding amount, the road condition is difficult to adapt. The traffic accident rate can be reduced by adopting dynamic variable speed limit control, namely dynamically regulating and controlling the highest speed limit of a passing road and actively regulating and controlling. Therefore, a dynamic variable speed limit control method is needed.
Disclosure of Invention
Aiming at the requirements of the prior art, a dynamic variable speed limit control method is provided.
The technical scheme of the invention is as follows: a dynamic variable speed limit control method comprises the following steps:
step 1: acquiring real-time traffic flow data of a road, wherein the traffic flow data comprises a channel occupancy, a two-passenger-one-dangerous occupancy, an average flow speed/theoretical flow speed, a maximum flow speed and a minimum flow speed; and establishing a traffic flow data variable matrix X ═ X1，X2，...，Xn]TN represents the number of variables;
step 2: analyzing the traffic flow operation safety; setting probability P (Y is 1) a of accident occurrence risko+a1×X1+…+an×XnWherein Y-1 indicates the occurrence of an accident, anRepresenting the influence factor of each traffic data variable on the accident occurrence; a is0+a1+…+an＝1；
And step 3: judging whether the current traffic flow operation is in a dangerous state; setting a real-time accident occurrence risk probability safety interval as [0, a ]; if the probability function of the accident occurrence risk determines that P (Y is 1) > a, the traffic flow enters a dangerous area and then enters a step 4; otherwise, returning to the step 1;
and 4, step 4: starting variable speed limit control to change the traffic flow data variable, and setting the traffic flow data variable matrix X as [ X ]1，X2，...，Xn]TCorrespondingly, reducing P (Y is 1);
and 5: and (4) finishing active intervention on the road traffic accident risk within the traffic safety time by adjusting the speed limit value, and returning to the step 1 to continue monitoring.
Further, the influencing factor is selected to be initialized
Through a neural network algorithm, aiSubstituting into a training algorithm, and comparing the risk probability P obtained by training with the sample risk probability P' to aiCorrecting; control of correction error in
Further, the variable speed limit control includes:
suppose that the highest speed limit of the current road section is vmaxSetting the dynamic variable speed limit regulation lower limit speed limit as vmin；
In the first regulation and control period, initializing delta v1＝5km/h；ΔvkRepresenting the regulation speed limit difference of the kth regulation period;
in the first control cycle, v (1) ═ vmax-Δv1；
From the second cycle:
further, a is 30%.
Has the advantages that: the invention dynamically tracks traffic data flow, actively adjusts traffic flow data by adopting a dynamic speed limiting mode, actively intervenes and reduces the traffic accident rate. Compared with the traditional fixed speed-limiting board, the speed-limiting board is applicable to working days, holidays and the like, and has regulation and control flexibility.
Drawings
FIG. 1 is a schematic flow diagram of the present invention;
FIG. 2 is a schematic road view of an embodiment;
FIG. 3 is a plot of real-time risk coefficient versus time;
FIG. 4 is a graph illustrating the effect of accident risk under different speed limit conditions according to the embodiment;
FIG. 5 is a logical view of the present invention.
Detailed Description
The dynamic variable speed limit control method comprises the following basic steps:
step 1: acquiring road real-time traffic flow data and acquired traffic flow dataThe types include: channel occupancy, two-passenger-one-danger occupancy, average flow rate/theoretical flow rate, maximum flow rate and minimum flow rate, and establishing traffic flow data variable matrix X ═ X1，X2，...，Xn]Tn represents the number of variables.
Step 2: and analyzing the traffic flow operation safety. Now, assume that the probability of accident occurrence risk P (Y ═ 1) ═ ao+a1×X1+…+an×XnWherein Y-1 indicates the occurrence of an accident, anAnd the influence factor of each traffic data variable on the accident occurrence is shown. a is0+a1+…+an1. As shown in fig. 5, initialization
Through a neural network algorithm, aiSubstituting into the training algorithm, and comparing the risk probability P obtained by training with the sample risk probability P' to aiAnd (6) correcting. Control of correction error in
And step 3: and judging whether the current traffic flow operation is in a dangerous state or not. Setting a real-time accident occurrence risk probability safety interval as [0, 0.3], and when P (Y is 1) > 30% determined by an accident occurrence risk probability function, the traffic flow enters a dangerous area.
And 4, step 4: if the value is higher than the safety threshold value, variable speed limit control is started, and P is reduced (Y is 1) by adjusting the internal parameters of the traffic flow data variable matrix.
1. Suppose that the highest speed limit of the current road section is vmaxSetting the dynamic variable speed limit regulation lower limit speed limit as vmin。
2. In the first regulation and control period, initializing delta v1＝5km/h；(ΔvkRepresenting the regulation speed limit difference of the k regulation period). In the first control cycle, v (1) ═ vmax-Δv1；
3. From the second cycle:
And 5: the traffic flow running state is controlled by adjusting the speed limit value, and active intervention is further carried out on the road traffic accident risk.
Example 1
In this embodiment, a simulated road network graph is constructed as shown in fig. 2, a traffic flow variable matrix parameter type is set as { channel occupancy, two-passenger-one-dangerous occupancy, average flow rate/theoretical flow rate, maximum flow rate, minimum flow rate }, and a is obtained according to early-stage sample data trainingnThe simulation experiment was performed with {0.32, 0.37, 0.05, 0.12, 0.14} representing input 0D data, a safe traffic flow state threshold value P (Y1) ═ 30%, and a static speed limit {120, 80}, and the simulation time was 3600 s. According to simulation experiments, the change interval of the single speed limit value is [5, 20 ]]The kilometer/hour is better, and the active regulation and control period is more than 5 minutes.
As can be seen from fig. 4, when the number of cross-sectional vehicles is small, the accident risk rates under each speed limit condition are basically consistent, and when the number of cross-sectional vehicles reaches a certain number, the accident risk probability of the scheme of the speed limit 80 is firstly improved, which is mainly because the lower speed limit causes the reduction of the traffic capacity of the road network, so that the occupancy of the lane caused by the reduction of the number of cross-sectional vehicles in unit time is increased, and the accident risk is further influenced. Under the condition of adjusting through the dynamic variable speed limit, the traffic accident risk rate can be well controlled below the threshold value or above or below the adjacent threshold value, and the accident occurrence probability is effectively reduced.
Claims (4)
1. A dynamic variable speed limit control method is characterized in that: the method comprises the following steps:
step 1: acquiring real-time traffic flow data of a road, wherein the traffic flow data comprises a channel occupancy, a two-passenger-one-dangerous occupancy, an average flow speed/theoretical flow speed, a maximum flow speed and a minimum flow speed; and establishing a traffic flow data variable matrix X ═ X1，X2，...，Xn]TN represents the number of variables;
step 2: analyzing the traffic flow operation safety; setting probability P (Y is 1) a of accident occurrence risko+a1×X1+…+an×XnWherein Y-1 indicates the occurrence of an accident, anRepresenting the influence factor of each traffic flow data variable on the accident occurrence; a is0+a1+…+an＝1；
And step 3: judging whether the current traffic flow operation is in a dangerous state; setting a real-time accident occurrence risk safety interval as [0, a ]; if the probability function of the accident occurrence risk determines that P (Y is 1) > a, the traffic flow enters a dangerous area and then enters a step 4; otherwise, returning to the step 1;
and 4, step 4: starting variable speed limit control to change the traffic flow data variable, and setting the traffic flow data variable matrix X as [ X ]1，X2，...，Xn]TCorrespondingly, reducing P (Y is 1);
and 5: and (4) finishing active intervention on the road traffic accident risk within the traffic safety time by adjusting the speed limit value, and returning to the step 1 to continue monitoring.
2. The dynamic variable speed limit control method according to claim 1, characterized in that: the influencing factor is selected as initialization
Through a neural network algorithm, aiSubstituting into the training algorithm, and comparing the risk probability P obtained by training with the sample risk probability P' to aiCorrecting; control of correction error in
3. The dynamic variable speed limit control method according to claim 1, characterized in that: the variable speed limit control includes: suppose that the highest speed limit of the current road section is vmaxSetting the dynamic variable speed limit regulation lower limit speed limit as vmin(ii) a In the first regulation and control period, initializing delta v1＝5km/h；ΔvkRepresenting the regulation speed limit difference of the kth regulation period; in the first control cycle, v (1) ═ vmax-Δv1；
From the second cycle:
4. the dynamic variable speed limit control method according to claim 1, characterized in that: and a is 30%.
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| CN201910494588.3A CN112071056A (en) | 2019-06-10 | 2019-06-10 | Dynamic variable speed limit control method |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112861356A (en) * | 2021-02-10 | 2021-05-28 | 清华大学 | Method, equipment and storage medium for identifying risks of road traffic system |
| CN113409572A (en) * | 2021-05-25 | 2021-09-17 | 长安大学 | Energy-saving control system and method for road operation risk prevention and control |
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| JP2004240688A (en) * | 2003-02-05 | 2004-08-26 | Tokio Marine & Fire Insurance Co Ltd | Traffic condition monitoring system for vehicle, its configuring device, traffic condition monitoring method, and computer program |
| CN103198707A (en) * | 2013-03-21 | 2013-07-10 | 东南大学 | Vehicle regulation and control method based on dangerous traffic flow characteristics under sunny condition |
| CN105931460A (en) * | 2016-05-13 | 2016-09-07 | 东南大学 | Variable speed limit control strategy optimization method for continuous bottleneck section of expressway |
| CN105931459A (en) * | 2016-05-13 | 2016-09-07 | 东南大学 | Variable speed limit control strategy optimization method for isolated bottleneck section of expressway |
| CN106128095A (en) * | 2016-06-13 | 2016-11-16 | 东南大学 | A kind of through street isolates the variable speed-limiting control method of bottleneck road |
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- 2019-06-10 CN CN201910494588.3A patent/CN112071056A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2004240688A (en) * | 2003-02-05 | 2004-08-26 | Tokio Marine & Fire Insurance Co Ltd | Traffic condition monitoring system for vehicle, its configuring device, traffic condition monitoring method, and computer program |
| CN103198707A (en) * | 2013-03-21 | 2013-07-10 | 东南大学 | Vehicle regulation and control method based on dangerous traffic flow characteristics under sunny condition |
| CN105931460A (en) * | 2016-05-13 | 2016-09-07 | 东南大学 | Variable speed limit control strategy optimization method for continuous bottleneck section of expressway |
| CN105931459A (en) * | 2016-05-13 | 2016-09-07 | 东南大学 | Variable speed limit control strategy optimization method for isolated bottleneck section of expressway |
| CN106128095A (en) * | 2016-06-13 | 2016-11-16 | 东南大学 | A kind of through street isolates the variable speed-limiting control method of bottleneck road |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112861356A (en) * | 2021-02-10 | 2021-05-28 | 清华大学 | Method, equipment and storage medium for identifying risks of road traffic system |
| CN112861356B (en) * | 2021-02-10 | 2022-09-27 | 清华大学 | Method, equipment and storage medium for identifying risks of road traffic system |
| CN113409572A (en) * | 2021-05-25 | 2021-09-17 | 长安大学 | Energy-saving control system and method for road operation risk prevention and control |
| CN113409572B (en) * | 2021-05-25 | 2022-11-01 | 长安大学 | Energy-saving control system and method for road operation risk prevention and control |
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