CN108665707A - It is a kind of prevent local traffic congestion expressway access shunting and flow cooperative control method - Google Patents
It is a kind of prevent local traffic congestion expressway access shunting and flow cooperative control method Download PDFInfo
- Publication number
- CN108665707A CN108665707A CN201810505196.8A CN201810505196A CN108665707A CN 108665707 A CN108665707 A CN 108665707A CN 201810505196 A CN201810505196 A CN 201810505196A CN 108665707 A CN108665707 A CN 108665707A
- Authority
- CN
- China
- Prior art keywords
- traffic
- charge station
- transport need
- highway
- section
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Classifications
-
- 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
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/07—Controlling traffic signals
- G08G1/075—Ramp control
Abstract
The present invention is a kind of expressway access shunting preventing local traffic congestion and flow cooperative control method, including step:Entrance transport need information on highway is obtained first, the transport need amount in each entrance adjacent segments of different moments is calculated later, and each section transport need and the traffic capacity on entire highway are analyzed, judge whether each road traffic delay reaches supersaturation.It is more than the section of the traffic capacity for transport need, it is distributed according to transport need, it is shunted in advance by electronic information plate for charge station's vehicle will be entered, the railing of each entrance charge station in upstream period of rising and falling is controlled, the optimal volume of traffic of each entrance is adjusted by core control strategy.The present invention, which frequently occurs highway part section congestion prevention in the case of traffic congestion and flow control, has good result, is with a wide range of applications in terms of China's highway intelligent transportation management and control and good application prospect.
Description
Technical field
The invention belongs to traffic controls and technical field of intelligent traffic, and in particular to a kind of height preventing local traffic congestion
Fast highway-entrance shunting and flow cooperative control method.
Background technology
With the swift and violent rapid growth increased with vehicle guaranteeding organic quantity of China's expressway construction mileage, highway is handed over
Logical demand and the magnitude of traffic flow are increased sharply, and increase the passage pressure of highway, the freeway net part way traffic capacity is
It is particularly evident during existing demand, especially festivals or holidays cannot be met, to influence the operational efficiency of entire freeway net, especially
It is to cause highway traffic congestion to take place frequently, no when freeway traffic demand is more than the traffic capacity in the traffic peak period
Highway traffic efficiency is reduced by only, and increases conflict and friction between vehicle.Therefore, how intelligent transportation skill is used
Art prevents the potential traffic congestion section of China's highway, prevents traffic congestion and generates and propagate, ensure highway it is convenient,
Efficiently, safe operation becomes the top priority faced in China's freeway traffic regulation practice.
Existing highway congested link traffic control most common technique is ramp metering rate technology.In recent years, with high speed
Intelligent highway toll collection system (ETC) is popularized, and single charging aperture vehicle pass-through rate significantly improves;Festivals or holidays highway freely leads to
After capable traffic policy publication, single charging aperture vehicle percent of pass greatly improves, and it is public to be further exacerbated by charge station's downstream high speed
The traffic congestion of road main line.Traffic congestion generates series of negative effect after generating so that highway does not give full play to
It is horizontal to reduce using for Freeway Infrastructure for its traffic capacity.
Invention content
Goal of the invention:In order to overcome the deficiencies in the prior art, the present invention, which proposes, to be intended to prevent local traffic and gathers around
Stifled expressway access shunting and flow cooperative control method can receive entrance according to the transport need amount of daily different periods
Expense station flow is shunted, and automatically controls that charge station is optimal to avoid traffic congestion from generating by vehicle number, it is public to give full play to high speed
The road traffic capacity.
Technical solution:
A kind of expressway access shunting preventing local traffic congestion and flow cooperative control method, including walk as follows
Suddenly:
(1) expressway entrance and exit transport need information in different time periods daily is obtained, it is public to obtain different periods high speed
Transport need amount in each entrance adjacent segments of road;Take the sum of all volume of traffic in a certain period Jing Guo certain a road section
For the transport need amount in this section period;
(2) traffic capacity in each entrance adjacent segments of calculating highway, and to every on entire highway
A section transport need and the traffic capacity are analyzed, and whether supersaturated analyze each road section traffic volume demand;If a certain road section traffic volume
Demand is more than the traffic capacity, then the road section capacity is insufficient;Conversely, then the road section traffic volume demand is not up to the traffic capacity;
The traffic capacity in each entrance adjacent segments of highway calculates as follows:
CD=Msvi×N1×fw×fHV×fp×fk
Msvi=CB·(V/C)i
In formula:CDFor highway one-way pavement design capacity, unit pcu/h;MsviWater is serviced for i-stage
Flat maximum service volume, unit pcu/h;N1For the number of track-lines of one-way pavement;fwFor lane width and Horizontal Clearance pair
The correction factor of the traffic capacity;fHVIt is large car to the correction factor of the traffic capacity;fpIt is driver's condition to the traffic capacity
Correction factor;fkFor the traffic capacity correction factor based on congested link monitor video data acquisition;CBFor basic capacity,
Unit is pcu/h;(V/C)iFor i-stage service level maximum service volume V and i-stage service level basic capacity C
Ratio;The basic capacity refers to the maximum volume of traffic that the track one hour of highway one can pass through;
(3) highway entirety section is divided:It is every according to the highway obtained in the step (1) and (2)
The size of one transport need of entrance adjacent segments and the traffic capacity, finds out all congested links, determines most critical congested link;
Using transport need and the maximum section of traffic capacity ratio as most critical congested link, with most critical congested link upstream charge station
For separation, highway is divided into different sections;
(4) each charge station is to distinguish different traveling sides with the terminal of separation and vehicle traveling in the step (3)
To separation direction being expressed as DIR1, terminal direction is expressed as DIR2;It will will enter charge station by electronic information plate
Vehicle is shunted in advance;Entrance charge station distributes charging aperture quantity according to all directions transport need amount size, and electronic information plate carries
Show that vehicle difference transmits information, guiding driver select corresponding charging aperture to pass through charge station according to prompt message;Specifically
It is as follows:
(41) the total transport need amounts of charge station s are calculated, it is as all using s as the sum of the volume of traffic of starting point:
Wherein, DsFor total transport need amount at charge station s;dsjIt is charge station s for starting point, terminal is the transport need amount of j;
(42) the expressway entrance and exit transport need information in different time periods obtained by step (1), take it is all with
Charge station s be starting point and terminal between s, DIRi or all volume of traffic that terminal is DIRi and be at period charge station s
The transport need amount in the directions DIRi;If any charge stations of the s between DIR1, DIR2, need to only calculate DIR2 at the charge station
The transport need amount in direction;
Calculation formula is:
Wherein, Ds,DIRiThe transport need amount for being DIRi for travel direction at charge station s;dsjIt is charge station's s terminals for starting point
For the transport need amount of j;I=1 or 2;
(43) according to the transport need amount of each charge station's different directions, it is divided in portion each charge station DIR1, DIR2 traveling
The charging aperture number in direction, calculation formula are:
Wherein, NsiFor the charging aperture number for the distribution that travel direction at charge station s is DIRi;NsIt is received to be total at charge station s
Take mouth number;DsFor total transport need amount at charge station s;
(5) all processes in the period are calculated on the basis of the traffic capacity in the section for most critical congested link
The optimal volume of traffic of each OD amounts of most critical congested link calculates upstream and respectively charges according to volume of traffic size and charging aperture number
The optimal vehicle percent of pass of each charging aperture of standing;The optimal volume of traffic is i.e. under certain road and transportation condition, road a road section list
Position the time in can by maximum vehicle number, take most critical section the traffic capacity be the section the optimal volume of traffic;Wherein,
All each OD amounts by most critical congested link refer to using each entrance of highway as starting point, terminal and pass through most critical
The transport need amount of congested link;Shared by the traffic capacity of most critical congested link and all each OD amounts by the section
Proportion calculates the optimal volume of traffic of each OD amounts;Detailed process is as follows:
(51) the optimal volume of traffic of highway Shang Ge charge stations different directions is calculated, computational methods are as follows:
1. defining most critical congested link mn, the optimal volume of traffic is Cmn;For arbitrary section ij, when the sections ij do not include most
When crucial congested link, the vehicle percent of pass of charge station i need not be adjusted;It is right when including most critical section for ij sections
Charge station's vehicle percent of pass is adjusted, and calculation formula is:
Wherein, dsThe transport need amount for being DIR2 for travel direction at charge station s;ds' it is that travel direction is at charge station s
Transport need amount after the adjustment of DIR2;dsjIt is charge station s for starting point, terminal is the transport need amount of j;DmnFor the sections mn
Transport need amount;
Transport need amount after the adjustment that then travel direction is DIR2 at charge station s is
2. after if express highway section has multiple section congestions, the step 1. to adjust each transport need amount, exchange
Transport need amount after whole is analyzed, and is calculated the transport need amount after the adjustment of other congested links, is analysed whether to meet the road
The section traffic capacity;If having met the road section capacity, it is not required to adjust;For being still unsatisfactory for the section of the traffic capacity by step
1. the volume of traffic is adjusted to the section upstream charge station;Specific method is:
If congested link goes out in current vehicle between initiate point and DIR1, congested link upstream charge station is 1. adjusted by step
Travel direction is the volume of traffic of DIR1;If 1. congested link adjusts congested link upstream receipts between DIR1 and DIR2, by step
Take the volume of traffic that station travel direction is DIR2;
(52) each optimal vehicle percent of pass of charging aperture is calculated:The step (51) obtains each optimal traffic of charge station's all directions
Amount, the optimal vehicle percent of pass of the single charging aperture of different directions is calculated according to each charge station's different directions charging aperture number, is calculated
Formula is:
Wherein, Rs,DIRiThe optimal vehicle percent of pass of single charging aperture for being DIRi for travel direction at charge station s;NsiTo receive
Take the charging aperture number that travel direction is DIRi at the s of station;ds' it is the traffic that the travel direction after being adjusted at charge station s is DIRi
Demand;
(6) period in order to control time difference that charging aperture lifting lever lifts twice, the receipts being calculated according to step (5) are defined
Take the optimal vehicle percent of pass of mouth, the optimum control period of lifting lever is calculated;Calculation formula is:
Wherein, Ts,DIRiFor the directions the DIRi charging aperture lifting lever optimum control period at period charge station s;Rs,DIRiTo receive
Take the optimal vehicle percent of pass of the single charging aperture in the directions DIRi at the s of station;
(7) it completes in current lifting lever controlling cycle after charging aperture vehicle percent of pass optimized control, entrance is next
Period times repeat step (3) to the process of step (6), complete the optimal of next cycle period charging aperture vehicle percent of pass
Change control.
The expressway entrance and exit transport need information in different time periods daily that obtains uses multi-source data analysis skill
Art;The transport need amount of expressway entrance and exit is acquired specifically by the camera being arranged on highway bayonet, or is passed through
Mobile phone signaling determines the location information of each car owner, so that it is determined that the transport need amount of expressway entrance and exit.
Advantageous effect:The present invention judges the optimal vehicle percent of pass of each charging aperture, and count by analyzing most critical congested link
The lifting lever optimum control period is calculated, each charging aperture vehicle is controlled, can effectively prevent highway congested link passage
Ability declines, and gives full play to the traffic capacity of highway, realizes that highway main line traffic efficiency maximizes.The present invention for
Highway part section, which frequently occurs congestion prevention in the case of traffic congestion and flow control, has good result, in China
It is with a wide range of applications and good application prospect in terms of highway intelligent transportation management and control.
Description of the drawings
Fig. 1 is the inlet distribution and flow Collaborative Control flow chart for preventing highway local traffic congestion.
Fig. 2 is that schematic diagram is arranged in expressway access charge station.
Fig. 3 is that highway entirety section divides schematic diagram.
Fig. 4 is that expressway access charge station shunts schematic diagram in advance.
Specific implementation mode
The present invention is further described below in conjunction with the accompanying drawings.
Fig. 1 is the inlet distribution and flow Collaborative Control flow chart for preventing highway local traffic congestion.Such as Fig. 1 institutes
Show, expressway access of the invention shunting and flow cooperative control method include the following steps:
(1) daily different time sections are obtained by multi-source data analysis technology (such as highway bayonet, mobile phone signaling)
Expressway entrance and exit transport need information, obtain the traffic in different periods highway each entrance adjacent segments
Demand;The multivariate data analysis technology can acquire highway by the camera being arranged on highway bayonet and come in and go out
The transport need amount of mouth, can also determine the location information of each car owner, so that it is determined that expressway entrance and exit by mobile phone signaling
Transport need amount;Take all volume of traffic in a certain period Jing Guo certain a road section and for this section period traffic need
The amount of asking;
(2) traffic capacity in each entrance adjacent segments of calculating highway, and to every on entire highway
A section transport need and the traffic capacity are analyzed, and whether supersaturated analyze each road traffic delay operating status.If certain is all the way
Section transport need is more than the traffic capacity, then the road section capacity is insufficient;Conversely, then the road traffic delay is not up to current energy
Power;
The traffic capacity in each entrance adjacent segments of specific highway, calculation formula are:
CD=Msvi×N1×fw×fHV×fp×fk
Msvi=CB·(V/C)i
In formula:CDFor highway one-way pavement design capacity, unit pcu/h;MsviWater is serviced for i-stage
Flat maximum service volume, unit pcu/h;N1For the number of track-lines of one-way pavement;fwFor lane width and Horizontal Clearance pair
The correction factor of the traffic capacity;fHVIt is large car to the correction factor of the traffic capacity;fpIt is driver's condition to the traffic capacity
Correction factor;fkFor the traffic capacity correction factor based on congested link monitor video data acquisition;CBFor basic capacity,
Unit is pcu/h;(V/C)iFor i-stage service level maximum service volume V and i-stage service level basic capacity C
Ratio;The basic capacity refers to the maximum volume of traffic that the track one hour of highway one can pass through;
(3) highway entirety section is divided:According to each discrepancy of highway obtained in the step (2)
The size of mouth adjacent segments transport need and the traffic capacity, finds out all congested links, determines most critical congested link;With traffic
Demand is most critical congested link with the maximum section of traffic capacity ratio, is boundary with most critical congested link upstream charge station
Highway is divided into different sections by point;As shown in Figure 3;
(4) each entrance charge station of highway shunts the vehicle that will enter charge station in advance:Each charge station is with institute
The separation and terminal stated in step (3) are different travel directions, separation direction are expressed as DIR1, terminal direction indicates
For DIR2;The vehicle that will enter charge station is shunted in advance by electronic information plate, entrance charge station hands over according to all directions
Logical demand size distributes charging aperture quantity, and electronic information plate prompts different transmits informations, and driver is according to prompt for guiding
Information selects corresponding charging aperture to pass through charge station;It can be held by entrance charge station bayonet Car license recognition in this process
Method, it is ensured that the vehicle into charge station is lined up according to control direction;
It is specific as follows:
(41) the total transport need amounts of charge station s are calculated, it is as all using s as the sum of the volume of traffic of starting point:
Wherein, DsFor total transport need amount at charge station s;dsjIt is the transport need amount that charge station's s terminals are j for starting point;j
=s+1, j=s+2 ..., j=N;
(42) the expressway entrance and exit transport need information in different time periods obtained by step (1), take it is all with
Charge station s be starting point and terminal between s, DIRi (i=1,2) or all volume of traffic that terminal is DIRi (i=1,2) and be
The transport need amount in the direction DIRi (i=1,2) at period charge station s.If any charge stations of the s between DIR1, DIR2,
The transport need amount in the directions DIR2 at the charge station need to only be calculated.
Calculation formula is:
Wherein, Ds,DIRiThe transport need amount for being DIRi for travel direction at charge station s;dsjIt is charge station s for starting point, eventually
Point is the transport need amount of j;J=s+1, j=s+2 ..., j=DIRi;
(43) according to the transport need amount of each charge station's different directions, it is divided in portion each charge station DIR1, DIR2 traveling
The charging aperture number in direction, calculation formula are:
Wherein, NsiFor the charging aperture number for the distribution that travel direction at charge station s is DIRi;NsIt is received to be total at charge station s
Take mouth number;DsFor total transport need amount at charge station s;
(5) all processes in the period are calculated on the basis of the traffic capacity in the section for most critical congested link
The optimal volume of traffic of each OD amounts of most critical congested link calculates upstream and respectively charges according to volume of traffic size and charging aperture number
The optimal vehicle percent of pass of each charging aperture of standing;The optimal volume of traffic is i.e. under certain road and transportation condition, road a road section list
Position the time in can by maximum vehicle number, take most critical section the traffic capacity be the section the optimal volume of traffic;Wherein,
All each OD amounts by most critical congested link refer to using each entrance of highway as starting point, terminal and pass through most critical
The transport need amount of congested link;Shared by the traffic capacity of most critical congested link and all each OD amounts by the section
Proportion calculates the optimal volume of traffic of each OD amounts;
(51) the optimal volume of traffic of highway Shang Ge charge stations different directions is calculated:Computational methods are as follows:
1. defining most critical congested link mn, the optimal volume of traffic is Cmn;For arbitrary section ij, when the sections ij do not include most
When crucial congested link, the vehicle percent of pass of charge station i need not be adjusted;When including most critical section for ij sections, need
Charge station's vehicle percent of pass is adjusted, to improve the traffic efficiency in most critical section;Calculate each charge station toward DIR1,
The sum of the volume of traffic in the directions DIR2, need to using each charge station in the upstreams DIR1 as the travel direction of starting point for DIR2 the volume of traffic into
Row adjustment, calculation formula are:
Wherein, dsThe transport need amount for being DIR2 for travel direction at charge station s;ds' it is that travel direction is at charge station s
Transport need amount after the adjustment of DIR2;dsjIt is charge station s for starting point, terminal is the transport need amount of j;DmnFor the sections mn
Transport need amount;
Transport need amount after the adjustment that then travel direction is DIR2 at charge station s is
2. after if express highway section has multiple section congestions, the step 1. to adjust each transport need amount, exchange
Transport need amount after whole is analyzed, and is calculated the transport need amount after the adjustment of other congested links, is analysed whether to meet the road
The section traffic capacity;If having met the road section capacity, it is not required to adjust;For being still unsatisfactory for the section of the traffic capacity by step
1. the volume of traffic is adjusted to the section upstream charge station;Specific method is:
If congested link goes out in current vehicle between initiate point and DIR1, congested link upstream charge station is 1. adjusted by step
Travel direction is the volume of traffic of DIR1;If 1. congested link adjusts congested link upstream receipts between DIR1 and DIR2, by step
Take the volume of traffic that station travel direction is DIR2;
(52) each optimal vehicle percent of pass of charging aperture is calculated:The step (51) obtains each optimal traffic of charge station's all directions
Amount, the optimal vehicle percent of pass of the single charging aperture of different directions is calculated according to each charge station's different directions charging aperture number,
Calculation formula is:
Wherein, Rs,DIRiThe optimal vehicle percent of pass of single charging aperture for being DIRi for travel direction at charge station s;NsiTo receive
Take the charging aperture number that travel direction is DIRi at the s of station;ds' it is the traffic that the travel direction after being adjusted at charge station s is DIRi
Demand;
(6) the single charging aperture lifting lever optimum control period is calculated, avoids excessive vehicle simultaneously by charging aperture, under causing
It swims main line position and generates traffic congestion and traffic capacity decline:It is all in order to control to define the time difference that charging aperture lifting lever lifts twice
Phase, controlling cycle determine that the unit interval can be by the flow of charging aperture;The charging aperture being calculated according to above-mentioned steps (5)
The optimum control period of the period lifting lever is calculated in optimal vehicle flow;Calculation formula is:
Wherein, Ts,DIRiFor the directions the DIRi charging aperture lifting lever optimum control period at period charge station s;Rs,DIRiTo receive
Take the optimal vehicle percent of pass of the single charging aperture in the directions DIRi at the s of station;
(7) it completes in current lifting lever controlling cycle after charging aperture vehicle percent of pass optimized control, entrance is next
Period times repeat step (3) to the process of step (6), complete the optimization of the charging aperture vehicle percent of pass of next cycle
Control.
Specific embodiment:
The setting of certain expressway access charge station is as shown in Figure 2.According to each entrance OD amount sizes of highway, determine most
It is as shown in Figure 3 to be divided into different sections by crucial congested link for highway;As shown in figure 4, each charge station is according to different traveling sides
It is shunted in advance to by the vehicle for entering charge station, adjusts each charge station's traffic percent of pass, locally gathered around to reach prevention highway
Stifled purpose;
Assuming that a certain two-way eight tracks express highway section, the daily different periods of the highway is obtained and have respectively come in and gone out oral sex
Flux, analysis one day, a certain period freeway traffic flow operating status, each section was calculated according to the period each entrance gauge
Transport need amount analyzes traffic capacity size, finds out most critical congested link.Obtaining certain moment after handling data most closes
Key congested link transport need amount is 3516pcu/h, which is 3241pcu/h, and transport need amount, which is more than, passes through
Ability shows, if main line traffic flow to be maintained to be in maximum tonnage capacity level, to need to maintain according to historical traffic flow data
Section maximum percent of pass near the traffic capacity, as the optimal vehicle percent of pass of charging aperture calculating according to.Most critical congestion road
The OD amount sums in the directions Duan Shangyou a certain charge station DIR1 are 559pcu/h, and it is 2 that the direction, which distributes charge station's number, then the receipts
Taking the station optimal volume of traffic in the directions DIR1 is:
Each optimal percent of pass of charging aperture is:
Each charging aperture optimum control period is:
In the case where not using control, since more vehicle is by charging aperture, lead to downstream part section passage demand
More than the traffic capacity, more serious interference and friction are produced between vehicle, traffic congestion generates and queuing phenomena generates, and causes
The magnitude of traffic flow of downstream main line is relatively low, that is, generates the traffic capacity and decline phenomenon, affect whole traffic efficiency.Using charging aperture
It after flow control, is reduced by the vehicle of charging aperture, traveling conflict and traffic congestion between each section in downstream does not generate vehicle,
So that the main line downstream magnitude of traffic flow maintains near the traffic capacity, to effectively traffic congestion be prevented to generate.
The above is only a preferred embodiment of the present invention, it should be pointed out that:For the ordinary skill people of the art
For member, various improvements and modifications may be made without departing from the principle of the present invention, these improvements and modifications are also answered
It is considered as protection scope of the present invention.
Claims (2)
1. a kind of expressway access shunting preventing local traffic congestion and flow cooperative control method, which is characterized in that packet
Include following steps:
(1) expressway entrance and exit transport need information in different time periods daily is obtained, it is every to obtain different periods highway
Transport need amount in one entrance adjacent segments;Take all volume of traffic in a certain period Jing Guo certain a road section and be this
One the period section transport need amount;
(2) traffic capacity in each entrance adjacent segments of calculating highway, and to each breaking on entire highway
Face transport need and the traffic capacity are analyzed, and whether supersaturated analyze each road section traffic volume demand;If a certain road section traffic volume demand
More than the traffic capacity, then the road section capacity is insufficient;Conversely, then the road section traffic volume demand is not up to the traffic capacity;
The traffic capacity in each entrance adjacent segments of highway calculates as follows:
CD=Msvi×N1×fw×fHV×fp×fk
Msvi=CB·(V/C)i
In formula:CDFor highway one-way pavement design capacity, unit pcu/h;MsviMost for i-stage service level
Big service traffic volume, unit pcu/h;N1For the number of track-lines of one-way pavement;fwIt is lane width and Horizontal Clearance to current energy
The correction factor of power;fHVIt is large car to the correction factor of the traffic capacity;fpIt is driver's condition to the amendment system of the traffic capacity
Number;fkFor the traffic capacity correction factor based on congested link monitor video data acquisition;CBFor basic capacity, unit is
pcu/h;(V/C)iFor the ratio of i-stage service level maximum service volume V and i-stage service level basic capacity C;
The basic capacity refers to the maximum volume of traffic that the track one hour of highway one can pass through;
(3) highway entirety section is divided:According to the highway obtained in the step (1) and (2) it is each go out
The size of the transport need of entrance adjacent segments and the traffic capacity finds out all congested links, determines most critical congested link;To hand over
Logical demand is most critical congested link with the maximum section of traffic capacity ratio, is point with most critical congested link upstream charge station
Highway is divided into different sections by boundary's point;
(4) each charge station is to distinguish different travel directions with the terminal of separation and vehicle traveling in the step (3), will
Separation direction is expressed as DIR1, and terminal direction is expressed as DIR2;It will will enter the vehicle of charge station by electronic information plate
It is shunted in advance;Entrance charge station distributes charging aperture quantity according to all directions transport need amount size, and electronic information plate prompts vehicle
Different transmits informations, guiding driver select corresponding charging aperture to pass through charge station according to prompt message;It is specific as follows:
(41) the total transport need amounts of charge station s are calculated, it is as all using s as the sum of the volume of traffic of starting point:
Wherein, DsFor total transport need amount at charge station s;dsjIt is charge station s for starting point, terminal is the transport need amount of j;
(42) the expressway entrance and exit transport need information in different time periods obtained by step (1) takes all with charge
The s that stands be starting point and terminal between s, DIRi or all volume of traffic that terminal is DIRi and be DIRi at period charge station s
The transport need amount in direction;If any charge stations of the s between DIR1, DIR2, need to only calculate the directions DIR2 at the charge station
Transport need amount;
Calculation formula is:
Wherein, DS, DIRiThe transport need amount for being DIRi for travel direction at charge station s;dsjFor starting point be charge station's s terminals it is i
Transport need amount;I=1 or 2;
(43) according to the transport need amount of each charge station's different directions, it is divided in portion each charge station DIR1, DIR2 travel direction
Charging aperture number, calculation formula is:
Wherein, NsiFor the charging aperture number for the distribution that travel direction at charge station s is DIRi;NsFor total charging aperture at charge station s
Number;DsFor total transport need amount at charge station s;
(5) it is directed to most critical congested link, on the basis of the traffic capacity in the section, is calculated all by most closing in the period
It is every to calculate each charge station in upstream according to volume of traffic size and charging aperture number for the optimal volume of traffic of each OD amounts of key congested link
A optimal vehicle percent of pass of charging aperture;The optimal volume of traffic is i.e. under certain road and transportation condition, when road a road section unit
In can by maximum vehicle number, take most critical section the traffic capacity be the section the optimal volume of traffic;Wherein, own
It is referred to using each entrance of highway as starting point, terminal by each OD amounts of most critical congested link and passes through most critical congestion
The transport need amount in section;According to the traffic capacity of most critical congested link and all each OD amounts proportions by the section
Calculate the optimal volume of traffic of each OD amounts;Detailed process is as follows:
(51) the optimal volume of traffic of highway Shang Ge charge stations different directions is calculated, computational methods are as follows:
1. defining most critical congested link mn, the optimal volume of traffic is Cmn;For arbitrary section ij, when the sections ij do not include most critical
When congested link, the vehicle percent of pass of charge station i need not be adjusted;When including most critical section for ij sections, to the receipts
Expense station vehicle percent of pass is adjusted, and calculation formula is:
Wherein, dsThe transport need amount for being DIR2 for travel direction at charge station s;ds' it is that travel direction is DIR2 at charge station s
Adjustment after transport need amount;dsjIt is charge station s for starting point, terminal is the transport need amount of j;DmnFor the traffic in the sections mn
Demand;
Transport need amount after the adjustment that then travel direction is DIR2 at charge station s is
2. after if express highway section has multiple section congestions, the step 1. to adjust each transport need amount, after adjustment
Transport need amount analyzed, calculate the transport need amount after the adjustment of other congested links, it is logical to analyse whether to meet the section
Row ability;If having met the road section capacity, it is not required to adjust;It is 1. right by step for the section for being still unsatisfactory for the traffic capacity
The section upstream charge station volume of traffic is adjusted;Specific method is:
If congested link goes out in current vehicle between initiate point and DIR1, congested link upstream charge station traveling is 1. adjusted by step
Direction is the volume of traffic of DIR1;If 1. between DIR1 and DIR2, congested link upstream charge station is adjusted by step for congested link
Travel direction is the volume of traffic of DIR2;
(52) each optimal vehicle percent of pass of charging aperture is calculated:The step (51) obtains each optimal volume of traffic of charge station's all directions,
The optimal vehicle percent of pass of the single charging aperture of different directions, calculation formula are calculated according to each charge station's different directions charging aperture number
For:
Wherein, RS, DIRiThe optimal vehicle percent of pass of single charging aperture for being DIRi for travel direction at charge station s;NsiFor charge station s
Locate the charging aperture number that travel direction is DIRi;ds' it is the transport need that the travel direction after being adjusted at charge station s is DIRi
Amount;
(6) period in order to control time difference that charging aperture lifting lever lifts twice, the charging aperture being calculated according to step (5) are defined
The optimum control period of lifting lever is calculated in optimal vehicle percent of pass;Calculation formula is:
Wherein, TS, DIRiFor the directions the DIRi charging aperture lifting lever optimum control period at period charge station s;RS, DIRiFor charge station
The optimal vehicle percent of pass of the single charging aperture in the directions DIRi at s;
(7) it completes in current lifting lever controlling cycle after charging aperture vehicle percent of pass optimized control, into next cycle
Period repeats step (3) to the process of step (6), completes the optimization control of next cycle period charging aperture vehicle percent of pass
System.
2. expressway access shunting according to claim 1 and flow cooperative control method, which is characterized in that described to obtain
Daily expressway entrance and exit transport need information in different time periods is taken to use multi-source data analysis technology;Specifically by height
The transport need amount for the camera acquisition expressway entrance and exit being arranged on fast highway bayonet, or each vehicle is determined by mobile phone signaling
Main location information, so that it is determined that the transport need amount of expressway entrance and exit.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810505196.8A CN108665707B (en) | 2018-05-24 | 2018-05-24 | Expressway entrance diversion and flow cooperative control method for preventing local traffic jam |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810505196.8A CN108665707B (en) | 2018-05-24 | 2018-05-24 | Expressway entrance diversion and flow cooperative control method for preventing local traffic jam |
Publications (2)
Publication Number | Publication Date |
---|---|
CN108665707A true CN108665707A (en) | 2018-10-16 |
CN108665707B CN108665707B (en) | 2020-11-27 |
Family
ID=63776446
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201810505196.8A Active CN108665707B (en) | 2018-05-24 | 2018-05-24 | Expressway entrance diversion and flow cooperative control method for preventing local traffic jam |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN108665707B (en) |
Cited By (13)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109898406A (en) * | 2019-02-28 | 2019-06-18 | 温州国宁建设有限公司 | A kind of liftable municipal bridge of guardrail |
CN110211396A (en) * | 2019-05-30 | 2019-09-06 | 华南理工大学 | A kind of dynamic regulation method of freeway toll station and periphery intersection group |
CN110299015A (en) * | 2019-07-03 | 2019-10-01 | 东南大学 | A kind of ring road management-control method based on charge station |
CN110880237A (en) * | 2019-08-29 | 2020-03-13 | 安徽百诚慧通科技有限公司 | Highway long-downhill closed-loop accident prevention system and method |
CN111724595A (en) * | 2020-06-23 | 2020-09-29 | 重庆大学 | Highway section flow estimation method based on charging data |
CN111882878A (en) * | 2020-09-02 | 2020-11-03 | 烟台大学 | Method for maximizing traffic capacity of key roads based on traffic flow prediction |
CN113345252A (en) * | 2021-06-08 | 2021-09-03 | 重庆大学 | Short-time prediction method and device for lower-channel flow of toll station |
CN113570880A (en) * | 2021-06-28 | 2021-10-29 | 广州大学 | Traffic light intelligent control system based on STM32 |
CN114005274A (en) * | 2021-10-21 | 2022-02-01 | 浙江综合交通大数据开发有限公司 | Expressway toll station graded linkage management and control method based on equivalent weight of passenger car |
CN114267184A (en) * | 2021-12-29 | 2022-04-01 | 北京泰策科技有限公司 | Multivariate behavior data mining method |
CN115358551A (en) * | 2022-08-08 | 2022-11-18 | 北京掌行通信息技术有限公司 | Expressway drainage analysis method and device, storage medium and terminal |
CN115424432A (en) * | 2022-07-22 | 2022-12-02 | 重庆大学 | Upstream shunting method under highway abnormal event based on multi-source data |
CN117197913A (en) * | 2023-09-27 | 2023-12-08 | 辽宁艾特斯智能交通技术有限公司 | Cloud computing highway ETC charging data management analysis method |
Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2002163771A (en) * | 2000-11-27 | 2002-06-07 | Natl Inst For Land & Infrastructure Management Mlit | Vehicle guide control system |
CN102800198A (en) * | 2012-08-15 | 2012-11-28 | 重庆大学 | Measuring and calculating method for traffic flow of section of expressway |
CN103150894A (en) * | 2013-02-01 | 2013-06-12 | 东南大学 | Control method for eliminating traffic jam of expressway principal line toll station through flow |
CN106571037A (en) * | 2016-11-15 | 2017-04-19 | 同济大学 | Station detection technology-based expressway real-time road condition monitoring method |
US20170132919A1 (en) * | 2015-11-06 | 2017-05-11 | Edward D. Ioli Trust | Automated highway system |
CN106846810A (en) * | 2017-03-13 | 2017-06-13 | 青岛海信网络科技股份有限公司 | A kind of freeway toll station current-limiting method and device |
CN107993438A (en) * | 2017-12-08 | 2018-05-04 | 上海云砥信息科技有限公司 | A kind of highway bottleneck road congestion warning method |
-
2018
- 2018-05-24 CN CN201810505196.8A patent/CN108665707B/en active Active
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2002163771A (en) * | 2000-11-27 | 2002-06-07 | Natl Inst For Land & Infrastructure Management Mlit | Vehicle guide control system |
CN102800198A (en) * | 2012-08-15 | 2012-11-28 | 重庆大学 | Measuring and calculating method for traffic flow of section of expressway |
CN103150894A (en) * | 2013-02-01 | 2013-06-12 | 东南大学 | Control method for eliminating traffic jam of expressway principal line toll station through flow |
US20170132919A1 (en) * | 2015-11-06 | 2017-05-11 | Edward D. Ioli Trust | Automated highway system |
CN106571037A (en) * | 2016-11-15 | 2017-04-19 | 同济大学 | Station detection technology-based expressway real-time road condition monitoring method |
CN106846810A (en) * | 2017-03-13 | 2017-06-13 | 青岛海信网络科技股份有限公司 | A kind of freeway toll station current-limiting method and device |
CN107993438A (en) * | 2017-12-08 | 2018-05-04 | 上海云砥信息科技有限公司 | A kind of highway bottleneck road congestion warning method |
Non-Patent Citations (3)
Title |
---|
H. AL-DEEK 等: "Diversion during unexpected congestion on toll roads: the role of traffic information displayed on dynamic message signs", 《 IET INTELLIGENT TRANSPORT SYSTEMS》 * |
李广彬: "浅析解决高速公路拥堵的对策", 《北方交通》 * |
段荟 等: "高速公路孤立汇流区可变限速策略效果评价", 《第八届中国智能交通年会优秀论文集》 * |
Cited By (20)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109898406A (en) * | 2019-02-28 | 2019-06-18 | 温州国宁建设有限公司 | A kind of liftable municipal bridge of guardrail |
CN110211396A (en) * | 2019-05-30 | 2019-09-06 | 华南理工大学 | A kind of dynamic regulation method of freeway toll station and periphery intersection group |
CN110211396B (en) * | 2019-05-30 | 2021-08-10 | 华南理工大学 | Dynamic regulation and control method for highway toll station and peripheral intersection group |
CN110299015A (en) * | 2019-07-03 | 2019-10-01 | 东南大学 | A kind of ring road management-control method based on charge station |
CN110880237A (en) * | 2019-08-29 | 2020-03-13 | 安徽百诚慧通科技有限公司 | Highway long-downhill closed-loop accident prevention system and method |
CN111724595B (en) * | 2020-06-23 | 2022-04-01 | 重庆大学 | Highway section flow estimation method based on charging data |
CN111724595A (en) * | 2020-06-23 | 2020-09-29 | 重庆大学 | Highway section flow estimation method based on charging data |
CN111882878A (en) * | 2020-09-02 | 2020-11-03 | 烟台大学 | Method for maximizing traffic capacity of key roads based on traffic flow prediction |
CN111882878B (en) * | 2020-09-02 | 2021-07-02 | 烟台大学 | Method for maximizing traffic capacity of key roads based on traffic flow prediction |
CN113345252A (en) * | 2021-06-08 | 2021-09-03 | 重庆大学 | Short-time prediction method and device for lower-channel flow of toll station |
CN113345252B (en) * | 2021-06-08 | 2022-07-22 | 重庆大学 | Short-time prediction method and device for lower-path flow of toll station |
CN113570880A (en) * | 2021-06-28 | 2021-10-29 | 广州大学 | Traffic light intelligent control system based on STM32 |
CN114005274A (en) * | 2021-10-21 | 2022-02-01 | 浙江综合交通大数据开发有限公司 | Expressway toll station graded linkage management and control method based on equivalent weight of passenger car |
CN114005274B (en) * | 2021-10-21 | 2023-03-03 | 浙江综合交通大数据开发有限公司 | Expressway toll station graded linkage management and control method based on equivalent weight of passenger car |
CN114267184A (en) * | 2021-12-29 | 2022-04-01 | 北京泰策科技有限公司 | Multivariate behavior data mining method |
CN114267184B (en) * | 2021-12-29 | 2022-08-02 | 北京泰策科技有限公司 | Multivariate behavior data mining method |
CN115424432A (en) * | 2022-07-22 | 2022-12-02 | 重庆大学 | Upstream shunting method under highway abnormal event based on multi-source data |
CN115358551A (en) * | 2022-08-08 | 2022-11-18 | 北京掌行通信息技术有限公司 | Expressway drainage analysis method and device, storage medium and terminal |
CN117197913A (en) * | 2023-09-27 | 2023-12-08 | 辽宁艾特斯智能交通技术有限公司 | Cloud computing highway ETC charging data management analysis method |
CN117197913B (en) * | 2023-09-27 | 2024-04-16 | 辽宁艾特斯智能交通技术有限公司 | Cloud computing highway ETC charging data management analysis method |
Also Published As
Publication number | Publication date |
---|---|
CN108665707B (en) | 2020-11-27 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN108665707A (en) | It is a kind of prevent local traffic congestion expressway access shunting and flow cooperative control method | |
CN109064754A (en) | A kind of expressway access shunts and flow Collaborative Control technology | |
CN108932855A (en) | Road traffic control system, method and electronic equipment | |
CN108831143B (en) | Signal intersection fleet speed guiding method based on vehicle-road cooperation technology | |
CN109035786A (en) | A kind of traffic slot control method improving trunk roads Adjacent Intersections traffic efficiency | |
CN106781551A (en) | Expressway entrance and exit ring road combined control system and method under car networking environment | |
CN105321357B (en) | The setting system and method that a kind of isolated intersection same-phase is turned right with pedestrian signal | |
CN110503823A (en) | A kind of automatic driving vehicle dedicated Lanes control system and method | |
CN108986492A (en) | A kind of fast road ramp wagon flow remittance bootstrap technique and system based on roadside device | |
CN107331182A (en) | Automatic Pilot method for controlling driving speed under a kind of net connection environment towards continuous signal intersection | |
CN104485005A (en) | Intersection multiline public traffic vehicle priority request conflict coordination control method | |
CN104966402A (en) | Supersaturated traffic flow intersection queue overflow prevention and control method | |
CN113096419B (en) | Signal control method for serving vehicles to pass preferentially | |
CN105046987A (en) | Pavement traffic signal lamp coordination control method based on reinforcement learning | |
CN106355905B (en) | A kind of overhead signal control method based on bayonet data | |
Zeng et al. | Route-based transit signal priority using connected vehicle technology to promote bus schedule adherence | |
CN113053142B (en) | Bus priority control system based on vehicle-mounted positioning and bus path cooperation technology | |
CN111862596B (en) | Intersection signal control method and system for common vehicle borrowing BRT (bus bridge transfer) special lane | |
CN111932916B (en) | Control method and control system for dynamic emergency lane of urban road | |
CN113487868B (en) | Bus dynamic speed guidance-standing station control-signal priority cooperative control method | |
CN107895481A (en) | Area road wagon flow amount control method based on floating car technology | |
CN108922211B (en) | BRT bus speed optimization recommendation method considering station, signal lamp and front vehicle constraints | |
CN103679399A (en) | Station passenger flow linkage management and control method | |
CN102063791B (en) | Public transport travelling control method by combining signal control with positioning monitoring | |
CN106355911A (en) | Prior control method for bus rapid transit signal during traffic peak duration |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |