CN108922208A - Interconnected monitoring system is cured in conjunction with the wisdom of traffic information - Google Patents
Interconnected monitoring system is cured in conjunction with the wisdom of traffic information Download PDFInfo
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- CN108922208A CN108922208A CN201810800404.7A CN201810800404A CN108922208A CN 108922208 A CN108922208 A CN 108922208A CN 201810800404 A CN201810800404 A CN 201810800404A CN 108922208 A CN108922208 A CN 108922208A
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/07—Controlling traffic signals
- G08G1/08—Controlling traffic signals according to detected number or speed of vehicles
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/07—Controlling traffic signals
- G08G1/081—Plural intersections under common control
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Abstract
In order to improve the efficiency controlled or regulated that the control of traffic lights blocks road network, the present invention provides a kind of wisdom of combination traffic information to cure interconnected monitoring system, and the monitoring system includes：Section traffic information acquiring unit respectively includes a crossing before and after the section for number of vehicles in section where monitoring the first emergency tender in emergency tender described in road network；Command and control unit, for issuing the first prompt information to the first emergency tender according to the number of vehicles and issuing the second prompt information to traffic control department according to congestion level to assist the signal lamp that will arrive at crossing described in traffic control department control.Through a large number of experiments, the cost time during ambulance-based care on traffic is current averagely reduces 43%.
Description
Technical field
The present invention relates to road network chocking-up degree control fields, cure more particularly, to a kind of wisdom of combination traffic information
Interconnected monitoring system.
Background technique
Urban transportation blocking is to influence the major issue of China's economic development and quality of residents'life.Implement traffic signals control
System strategy is to reduce delay；Publication Real-time Traffic Information is keeping road network dynamic equalization and alleviation traffic stifled to induce vehicle driving
The traffic management measure of plug.Both traffic management measures especially commenting the effective of traffic jam degree with traffic behavior
Premised on valence.What the Ministry of Public Security of China and the Ministry of Construction formulated jointly《Urban traffic management assessment indicator system》By " traffic is negative
Lotus degree " and " intersection blocking rate " important indicator scientific as urban traffic management.Using peak period road network
Traffic loading degree reflects the intensity of urban central zone transport need in time, is in one day under least favorable situation
The tensity of disparities between supply and demand.The degree of saturation that entire road network is measured using intersection blocking rate is to check traffic administration
Effect, the foundation formulated Transportation Demand Management countermeasure, propose the construction scheme of intersection Re-construction planning.Periodic blockage intersection
Refer to the intersection for often occurring blocking in certain time (caused by not being random or accidental cause).Signalized control intersection
If it is Severe blockage that No. 3 green lights, which show that vehicle does not pass through crossing,.
Application No. is the Chinese invention patent applications of CN200810198919.0 to disclose a kind of city based on data characteristics
City's signal controlled junctions traffic condition detection and evaluation method.The data configuration that it uses data transmission unit to transmit is with traffic
Variable density and have stablize minimum vehicle when away from as saturation traffic flow character parameter.However, this method has ignored
The difference of the subjective delay length of driver in vehicle shutdown process, this difference so that when vehicle away from stabilization minimum value be inaccurate
It is true to be even not present, seriously affect the validity of the control duration of traffic lights.This influence greatly influences
Conevying efficiency in emergency tender relief patient procedure.
Summary of the invention
The time on traffic network is spent in shorten emergency tender during operation, the present invention provides a kind of combination friendships
The wisdom of communication breath cures interconnected monitoring system, and the monitoring system is used to monitor the traffic letter on emergency tender in the wisdom doctor networking
Traffic control department adjustment traffic lights are ceased and feed back to, the wisdom doctor networking includes emergency tender command terminal, at least a urgency
It rescues vehicle and wirelessly connects the communication network of emergency tender command terminal Yu the emergency tender, the monitoring system includes：
Section traffic information acquiring unit, in section where monitoring the first emergency tender in emergency tender described in road network
Number of vehicles, the section front and back respectively includes a crossing；
Command and control unit, for issuing the first prompt information to the first emergency tender according to the number of vehicles, simultaneously basis is gathered around
Stifled degree issues the second prompt information to traffic control department to assist the signal lamp that will arrive at crossing described in traffic control department control.
Further, the section traffic information acquiring unit includes：
Number of vehicles acquisition submodule will arrive at the vehicle at crossing for obtaining for the 1 to the n-th moment from a upper crossing
Number set { Num (n) }；
First prompt information generates subelement, for generating first prompt information according to number of vehicles.
Further, the command and control unit includes：
Amendment and prediction subelement, are used to be modified set { Num (n) }, predicted for the (n+1)th moment from a upper crossing
The number of vehicles set { Num (n+1) } at crossing will be arrived at, and will be calculated within a Signalized control period according to prediction result
Red, green light lighting time length ratio；
Subelement is corrected, for being corrected to the ratio；
Second prompt information generation unit, for being blocked up to the second of a upper crossing and the road network that will be arrived between crossing
Plug degree is estimated and generates the second prompt information.
Further, the number of vehicles acquisition submodule includes photoelectric sensor, for detecting between two crossings
Number of vehicles at some position.
Further, the number of vehicles at some position between two crossings of the detection is including the use of camera and base
It obtains uni-directionally in Car license recognition mode by the number of the vehicle at the position.
Further, the amendment and prediction subelement include amendment and prediction model generation module, are used for：
If being repaired to the 1 to the n-th moment from the number of vehicles set { Num (n) } that a upper crossing will arrive at crossing
The the 1 to the n-th moment just obtained afterwards will arrive at the number of vehicles at crossing for { Num ' (n) }, wherein { Num from a upper crossing
(n) } meet the probability distribution rule of Poisson distribution, wherein n be natural number and n=1,2 ...；
By the joint probability density function C (Num (n), Num ' (n)) of { Num (n) } and { Num ' (n) } be denoted as C (Num,
Num '),
C (Num, Num ') and=Pois (α T1 λ, α T2 λ ..., α Tn λ)=λ [- Pois (N) (λ)+α T1Pois (N-1) (λ)
+ ...+α TNPois (λ)],
Wherein Pois (λ)=e-N λ；N indicates the number of vehicles of the n-th moment Tn；
λ=[n, Num ' (n)] T, [] T indicate that λ is random vector, is handed in short-term according to SVR to [] progress transposition herein
The through-flow modulus value in the sum of the single order item of { Num ' (n) } at the n-th moment this set for predicting to obtain；
{ Num (n) } is modified：
The probability density of { Num ' (n) } under the conditions of { Num (n) } is set again：
P (Num ' | Num)=p (Num ', Num)/p (Num)=Pois (Num ', λ Num ' | Num), wherein
Pois (Num ', λ Num ' | Num) be that mean value is equal to λ Num ' | Num, variance matrix M are
Poisson function, CA, B indicate A and B between cross covariance,
Then
Further, the correction subelement includes：
Ratio obtains module, red, green light lighting time length the ratio of the signal lamp for obtaining the crossing that will be arrived at
Value R [n]；
First chocking-up degree obtains module, for obtaining vehicle at a upper crossing between the crossing that will be arrived at
Section the first chocking-up degree Dcrowd；
Time scale modification module, for being modified to the signal period duration T [n+1] that will arrive at crossing：
WhereinExpression takes integer, Num'[n] indicate that the n-th moment revised will arrive at from a upper crossing
The number of vehicles at crossing, Num'[n+1] indicate the number of vehicles that will arrive at crossing from a upper crossing to the (n+1)th moment
Predict number, BrpreIndicate the turnout number at a crossing, BrnowIndicate that the turnout number at the crossing that will be arrived at, i and j are positive whole
Number.
Further, the second prompt information generation unit includes：
Road network chocking-up degree submodule determines one for the value according to T [n+1] compared with preset threshold set
Crossing and the second road network chocking-up degree between crossing will be arrived at, using the second road network chocking-up degree as the second prompt information.
Beneficial effects of the present invention are：It can be carried out dynamically according to the number of vehicles in the section on road network between traffic lights
Red, green light lighting time length adjustment, and above-mentioned modified warp has been determined according to a large number of experiments of applicant for number of vehicles
Formula is tested, thus by adjusting the ratio of traffic light time length, when so that causing traffic lights to convert due to driver's subjective reason
The chocking-up degree caused by early, evening that starts to walk can be reduced automatically as much as possible.Through a large number of experiments, handed over during ambulance-based care
The cost time on going all averagely reduces 43%.
Detailed description of the invention
Fig. 1 shows the composition block diagram of monitoring system of the invention.
Specific embodiment
As shown in Figure 1, preferred embodiment in accordance with the present invention, the present invention provides a kind of wisdom of combination traffic information doctors
Interconnected monitoring system, the monitoring system are used to monitor the traffic information on emergency tender in the wisdom doctor networking and feed back to traffic control
Department adjusts traffic lights, and wisdom doctor's networking includes emergency tender command terminal, an at least emergency tender and wirelessly
The communication network of emergency tender command terminal and the emergency tender is connected, the monitoring system includes：
Section traffic information acquiring unit, in section where monitoring the first emergency tender in emergency tender described in road network
Number of vehicles, the section front and back respectively includes a crossing；
Command and control unit, for issuing the first prompt information to the first emergency tender according to the number of vehicles, simultaneously basis is gathered around
Stifled degree issues the second prompt information to traffic control department to assist the signal lamp that will arrive at crossing described in traffic control department control.
Preferably, the section traffic information acquiring unit includes：
Number of vehicles acquisition submodule will arrive at the vehicle at crossing for obtaining for the 1 to the n-th moment from a upper crossing
Number set { Num (n) }；
First prompt information generates subelement, for generating first prompt information according to number of vehicles.
Preferably, the command and control unit includes：
Amendment and prediction subelement, are used to be modified set { Num (n) }, predicted for the (n+1)th moment from a upper crossing
The number of vehicles set { Num (n+1) } at crossing will be arrived at, and will be calculated within a Signalized control period according to prediction result
Red, green light lighting time length ratio；
Subelement is corrected, for being corrected to the ratio；
Second prompt information generation unit, for being blocked up to the second of a upper crossing and the road network that will be arrived between crossing
Plug degree is estimated and generates the second prompt information.
Preferably, the number of vehicles acquisition submodule includes photoelectric sensor, for detecting certain between two crossings
Number of vehicles at a position.
Preferably, the number of vehicles at some position between two crossings of the detection including the use of camera and is based on
Car license recognition mode obtains uni-directionally by the number of the vehicle at the position.
Preferably, the amendment and prediction subelement include amendment and prediction model generation module, are used for：
If being repaired to the 1 to the n-th moment from the number of vehicles set { Num (n) } that a upper crossing will arrive at crossing
The the 1 to the n-th moment just obtained afterwards will arrive at the number of vehicles at crossing for { Num ' (n) }, wherein { Num from a upper crossing
(n) } meet the probability distribution rule of Poisson distribution, wherein n be natural number and n=1,2 ...；
By the joint probability density function C (Num (n), Num ' (n)) of { Num (n) } and { Num ' (n) } be denoted as C (Num,
Num '),
C (Num, Num ') and=Pois (α T1 λ, α T2 λ ..., α Tn λ)=λ [- Pois (N) (λ)+α T1Pois (N-1) (λ)
+ ...+α TNPois (λ)],
Wherein Pois (λ)=e-N λ；N indicates the number of vehicles of the n-th moment Tn；
λ=[n, Num ' (n)] T, [] T indicate that λ is random vector, is handed in short-term according to SVR to [] progress transposition herein
The through-flow modulus value in the sum of the single order item of { Num ' (n) } at the n-th moment this set for predicting to obtain；
{ Num (n) } is modified：
The probability density of { Num ' (n) } under the conditions of { Num (n) } is set again：
P (Num ' | Num)=p (Num ', Num)/p (Num)=Pois (Num ', λ Num ' | Num), wherein
Pois (Num ', λ Num ' | Num) be that mean value is equal to λ Num ' | Num, variance matrix M are
Poisson function, CA, B indicate A and B between cross covariance,
Then
Preferably, the correction subelement includes：
Ratio obtains module, red, green light lighting time length the ratio of the signal lamp for obtaining the crossing that will be arrived at
Value R [n]；
First chocking-up degree obtains module, for obtaining vehicle at a upper crossing between the crossing that will be arrived at
Section the first chocking-up degree Dcrowd；
Time scale modification module, for being modified to the signal period duration T [n+1] that will arrive at crossing：
WhereinExpression takes integer, Num'[n] indicate that the n-th moment revised will arrive at from a upper crossing
The number of vehicles at crossing, Num'[n+1] indicate the number of vehicles that will arrive at crossing from a upper crossing to the (n+1)th moment
Predict number, BrpreIndicate the turnout number at a crossing, BrnowIndicate that the turnout number at the crossing that will be arrived at, i and j are positive whole
Number.
Preferably, the second prompt information generation unit includes：
Road network chocking-up degree submodule determines one for the value according to T [n+1] compared with preset threshold set
Crossing and the second road network chocking-up degree between crossing will be arrived at, using the second road network chocking-up degree as the second prompt information.
The above-described embodiments merely illustrate the principles and effects of the present invention, and is not intended to limit the present invention.It is any ripe
The personage for knowing this technology all without departing from the spirit and scope of the present invention, carries out modifications and changes to above-described embodiment.Cause
This, institute is complete without departing from the spirit and technical ideas disclosed in the present invention by those of ordinary skill in the art such as
At all equivalent modifications or change, should be covered by the claims of the present invention.
Claims (8)
1. a kind of wisdom of combination traffic information cures interconnected monitoring system, which is characterized in that the monitoring system is for monitoring institute
It states the traffic information on emergency tender in wisdom doctor's networking and feeds back to traffic control department adjustment traffic lights, the wisdom doctor networking packet
It includes emergency tender command terminal, at least an emergency tender and wirelessly connects the communication of emergency tender command terminal Yu the emergency tender
Network, the monitoring system include：
Section traffic information acquiring unit, for vehicle in section where monitoring the first emergency tender in emergency tender described in road network
Number, the section front and back respectively includes a crossing；
Command and control unit, for issuing the first prompt information to the first emergency tender according to the number of vehicles and according to congestion journey
It spends to traffic control department and issues the second prompt information to assist the signal lamp that will arrive at crossing described in traffic control department control.
2. system according to claim 1, which is characterized in that the section traffic information acquiring unit includes：
Number of vehicles acquisition submodule will arrive at the number of vehicles at crossing for obtaining for the 1 to the n-th moment from a upper crossing
Gather { Num (n) }；
First prompt information generates subelement, for generating first prompt information according to number of vehicles.
3. system according to claim 2, which is characterized in that the command and control unit includes：
Amendment and prediction subelement, for being modified to set { Num (n) }, the (n+1)th moment of prediction will from a upper crossing
The number of vehicles set { Num (n+1) } at crossing is arrived at, and is calculated within a Signalized control period according to prediction result
Red, green light lighting time length ratio；
Subelement is corrected, for being corrected to the ratio；
Second prompt information generation unit, for blocking journey to the second of a upper crossing and the road network that will be arrived between crossing
Degree is estimated and generates the second prompt information.
4. system according to claim 3, which is characterized in that the number of vehicles acquisition submodule includes photoelectric sensing
Device, for detecting the number of vehicles at some position between two crossings.
5. system according to claim 4, which is characterized in that the vehicle at some position between two crossings of the detection
Number is obtained uni-directionally including the use of camera and based on Car license recognition mode by the number of the vehicle at the position.
6. system according to claim 5, which is characterized in that the amendment includes amendment and prediction mould with prediction subelement
Type generation module, is used for：
If after being modified to the 1 to the n-th moment from the number of vehicles set { Num (n) } that a upper crossing will arrive at crossing
The the 1 to the n-th obtained moment will arrive at the number of vehicles at crossing for { Num ' (n) }, wherein { Num (n) } from a upper crossing
Meet the probability distribution rule of Poisson distribution, wherein n be natural number and n=1,2 ...；
The joint probability density function C (Num (n), Num ' (n)) of { Num (n) } and { Num ' (n) } are denoted as C (Num, Num '),
C (Num, Num ')=Pois (αT1λ,αT2λ,…,αTnλ)=λ [- Pois(N)(λ)+αT1Pois(N-1)(λ)+…+αTNPois
(λ)],
Wherein Pois (λ)=e-Nλ；N indicates the number of vehicles of the n-th moment Tn；
λ=[n, Num ' (n)]T, []TIt indicates to carry out transposition to [] herein, λ is random vector, is pre- according to SVR short-term traffic flow
The modulus value in the sum of the single order item of { Num ' (n) } at the n-th moment this set measured；
{ Num (n) } is modified：
The probability density of { Num ' (n) } under the conditions of { Num (n) } is set again：
P (Num ' | Num)=p (Num ', Num)/p (Num)=Pois (Num ', λNum’|Num), wherein Pois (Num ', λNum’|Num)
It is equal to λ for mean valueNum’|Num, variance matrix M bePoisson function, CA, BIt indicates between A and B
Cross covariance,Then
7. system according to claim 6, which is characterized in that the correction subelement includes：Ratio obtains module, is used for
Obtain red, green light lighting time length the ratio R [n] of the signal lamp at the crossing that will be arrived at；
First chocking-up degree obtains module, for obtaining vehicle at a upper crossing to the road between the crossing that will be arrived at
First chocking-up degree Dcrowd of section；
Time scale modification module, for being modified to the signal period duration T [n+1] that will arrive at crossing：
WhereinExpression takes integer, Num'[n] indicate that the n-th moment revised will arrive at crossing from a upper crossing
Number of vehicles, Num'[n+1] indicate prediction to the number of vehicles that will arrive at crossing from a upper crossing at the (n+1)th moment
Number, BrpreIndicate the turnout number at a crossing, BrnowIndicate the turnout number at the crossing that will be arrived at, i and j are positive integer.
8. system according to claim 7, which is characterized in that the second prompt information generation unit includes：
Road network chocking-up degree submodule determines a crossing for the value according to T [n+1] compared with preset threshold set
And the second road network chocking-up degree between crossing will be arrived at, using the second road network chocking-up degree as the second prompt information.
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Cited By (2)
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| CN112525211A (en) * | 2020-11-26 | 2021-03-19 | 四川奇力韦创新科技有限公司 | Emergency vehicle navigation system and navigation method based on big data |
| CN114827976A (en) * | 2022-06-06 | 2022-07-29 | 四川中普盈通科技有限公司 | Ambulance-mounted remote intelligent first-aid system |
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