CN104992566A - Method and device for single-point self-optimization signal control based on coils - Google Patents
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Abstract
The invention provides a method for single-point self-optimization signal control based on coils, which mainly relates to the field of intersection traffic signal optimization control, and realizes dynamic detection and signal optimization processing for the traffic state of a single intersection through integrated applications of novel coil vehicle detecting equipment. The scheme comprises the steps of coil equipment installation, data acquisition and communication, single-point self-optimization signal processing and computation, and signal instruction publishing and control. The invention further provides a device for single-point self-optimization signal control based on the coils. According to the invention, an active coil detection technology is adopted, accurate detection can be carried out on the real-time traffic state of the single intersection, and an optimized signal control scheme is made, thereby providing real-time decision making and emergency processing information for traffic management and control, and improving the operation efficiency and the service level of road traffic at intersections.
Description
Technical Field
The invention relates to the field of traffic signal optimization control of a single intersection, in particular to a coil-based single-point self-optimization signal control method and a coil-based single-point self-optimization signal control device.
Background
Urban traffic jam and accidents occur frequently, particularly, serious road jam events at intersections can cause road jam to spread if traffic flow cannot be effectively dredged in real time, the operation efficiency of the intersections is reduced, and great time and economic losses are caused to the public.
The coil vehicle detection technology is a technology that coil acquisition equipment is installed on a road with complex conditions or easy congestion, the number, speed and occupancy of passing automobiles are detected, acquired information is transmitted back to a server center through a wired network to be processed, dynamic traffic signal control can be performed through real-time traffic parameters, effective rule induction of traffic flow is achieved, and traffic congestion is reduced to the maximum extent.
At present, a signal control method mainly comprises timing control, multi-period control, induction control, self-adaptive control and the like, and the traditional model algorithm is too hard to set a threshold value according to the change of a certain traffic parameter to carry out signal optimization, so that the misjudgment of the system on the state can be caused; the invention provides a coil-based single-point self-optimization signal control method, which extracts an intersection signal control self-optimization algorithm through real-time detection and comprehensive analysis of an intersection running index, and can greatly improve the traffic running efficiency of an intersection.
Disclosure of Invention
A single-point self-optimization signal control method and a device based on coils are provided, the device used in the method comprises a coil detection device, a data communication device, a data storage and standardization server, a single-point self-optimization signal processing server and a signal distribution terminal device, all the devices are connected in sequence by signals, the method comprises the following steps:
(1) installing coil vehicle detection equipment in each entrance direction of the intersection, numbering the detectors in a clockwise direction, and binding the serial numbers of the road sections to which the intersections belong with the serial numbers of the detectors;
(2) collecting traffic flow and vehicle speed parameter information of a detection section in real time through coil vehicle detection equipment, wherein the parameter information is transmitted back to a data storage and standardization server in real time through data communication equipment to perform real-time data storage and standardization processing;
(3) extracting real-time traffic data of a storage server, calculating an average traffic flow density parameter of a detection section, and calculating a real-time road section traffic operation index according to the average traffic flow density;
(4) according to the traffic operation indexes of all road sections in the entrance direction of the intersection and the road grade attributes of the road sections, the traffic operation indexes of the intersection are calculated in an aggregation mode, and the signal control period of the intersection is calculated through an intersection traffic operation index-signal period relation model;
(5) calculating an east-west traffic operation index and a south-north traffic operation index according to the traffic operation index of each road section in the entrance direction of the intersection and the road grade attribute of the road section, and calculating the split ratio of intersection signal control through a traffic operation index-split ratio relation model;
(6) and sending real-time parameters of intersection signal control to the signal control lamp by using the signal issuing terminal equipment and calling a database interface service, and dynamically inducing intersection traffic through the signal control lamp.
The construction of the coil-based traffic operation index model comprises 4 parts of construction of a road section traffic operation index, an intersection traffic operation index, an east-west traffic operation index and a north-south traffic operation index;
(A) extracting traffic flow data and speed data of each lane of the coil detection section, and respectively calculating an average traffic flow parameter and an average speed parameter of the detection section on the level of space dimension and time dimension;
average traffic flow parameterBy the formulaCalculating to obtain the data, wherein N is the lane where the vehicle is located, N is the total number of lanes of the road section, and q is the total number of lanes of the road sectionnA traffic flow for an nth lane; average velocity parameter vnBy passingIs calculated to obtain, wherein vnIs the speed of the n-th lane,average speed per granularity period;
(B) average traffic flow density parameterBy the formulaCalculating to obtain;
(C) road section traffic operation index RTPI passing formula
(D) intersection traffic operation index ITPI passing formula
ITPI＝RTPI1*ω1+RTPI2*ω2+,...,+RTPIj*ωjIs calculated to obtain, wherein ω1,ω2，...，ωjWeighting coefficients for each inlet direction;
(E) east-west traffic operation index EWTPI passing bulletin
EWTPI＝RTPI1*ω1+RTPI2*ω2+,...,+RTPIh*ωhIs calculated to obtain, wherein ω1,ω2,...,ωhWeighting coefficients of the inlet road sections in the east-west direction;
passing public indication of north-south traffic operation index SNTPI
SNTPI＝RTPI1*ω1+RTPI2*ω2+,...,+RTPIn*ωnIs calculated to obtain, wherein ω1,ω2,...,ωnWeighting coefficients of the inlet road sections in the north-south direction;
constructing a traffic operation index-signal period relation model, wherein a signal period parameter C is T and ITPI/10, and T is a preset signal period parameter;
the traffic operationConstruction of an exponential-split relationship model, east-west split parametersEast-west green time Gew＝C×rewRed light time R in east-west directionew＝C-GewY, Y represents the yellow light time.
The invention has the beneficial effects that: the invention adopts the active coil technology, can accurately detect the real-time traffic state of a single intersection, formulate an optimized signal control scheme, provide real-time decision and emergency treatment information for traffic management and control, and can improve the operation efficiency and service level of road traffic of the intersection.
Drawings
FIG. 1 is a flow chart of the operation of the present invention;
FIG. 2 is a schematic diagram of the system installation used in FIG. 1;
fig. 3 is a schematic diagram of system device connections used in fig. 1.
Detailed Description
As shown in fig. 1 and 2, a coil-based single-point self-optimization signal control method and device are provided, the device used in the method includes a coil vehicle detection device 1, a data communication device 2, a data storage and standardization server 3, a single-point self-optimization processing server 4 and a distribution terminal device 5, the devices are connected in sequence by signals, and the method includes the following steps:
s1, installing coil vehicle detection equipment in each entrance direction of the intersection, numbering the detectors in the clockwise direction, and binding the serial numbers of the road sections to which the intersection belongs with the serial numbers of the detectors;
s11, the types of the intersections are various, five-way intersections, crossroads and T-shaped intersections are common, and the method classifies the intersections according to the number (J) of the intersection inlet directions.
S12, aiming at the detector (d) according to the time sequencej) Numbering, numbering road sections (road) to which the road junctions belongj) And binding the sequence label with the detector number, wherein J is a sequencing label (J is less than or equal to J).
S13, embedding the coil detector at 10-25 m in front of the stop line, covering all lanes of the road with the detection surface, and showing the equipment installation schematic diagram of a common crossroad as figure 2.
S2, collecting traffic flow and vehicle speed parameter information of a detection section in real time through the coil vehicle detection device 1, and transmitting the parameter information back to a data storage and standardization server in real time through the data communication device 2 for real-time data storage and standardization processing;
s3, calculating a road section traffic operation index by using the traffic parameter information:
the data format reported by the coil equipment in real time is (t, n, q, v), t represents the reporting time, n represents the lane, q represents the traffic flow data, v represents the vehicle flow speed data, and the units of (t, n, q, v) are respectively second, 1, vehicle/hour/lane and kilometer/hour.
Assume that a sample data set may be represented as S { (t,1, q)1,v1),(t,2,q2,v2),...,(t,n,qn,vn) And counting the average traffic flow of the space dimension and the time dimension of the road section to be measured in timeAverage speed per unit grain size periodAverage traffic density of space dimension and time dimension of road section to be measured(unit: vehicle/km/lane), then
In the above formula: n is the lane; n is the total number of lanes of the road section; q. q.snA traffic flow for an nth lane; v. ofnIs the speed of the nth lane.
Constructing Road Traffic Performance Index (RTPI)x) and average traffic flow densityThe functional relationship model of (a) is,
the x, y, z, p and m values are road traffic congestion feeling optimization parameters, questionnaires and data analysis fitting calculation are needed, different road grades and different parameter sizes are needed, and the initial reference values of the system are suggested as shown in table 1.
TABLE 1 road segment traffic operation index model parameters
S4, calculating the intersection signal control period
S41 intersection running index
The Intersection Traffic Performance Index (ITPI) is an aggregate analysis calculation based on the Traffic performance index of each section of the intersection in the inlet direction,
ITPI＝RTPI1*ω1+RTPI2*ω2+,...,+RTPIj*ωj (5)
ω1,ω2,...,ωjweighting coefficients for each inlet direction;
the weighting coefficients for the intersection entry direction are related to road class, see table 2:
TABLE 2 road grade and intersection weight relationship table
| Road grade | Express way | Main road | Secondary trunk road | Branch circuit |
| Weighted value | w1′ | w2′ | w3′ | w4′ |
The weight value calculation formula of a certain inlet direction at the intersection is as follows:
wherein:
ωjcalculating a weight value corresponding to the grade of the road in the inlet direction;
j is the total number of the inlet directions of the intersection, and J is less than or equal to J
S42 intersection signal control period
According to the traffic operation indexes of all road sections in the entrance direction of the intersection and the road grade attributes of the road sections, the traffic operation indexes of the intersection are calculated in an aggregation mode, and the signal control period of the intersection is calculated through an intersection traffic operation index-signal period relation model;
C＝T*ITPI/10 (7)
wherein,
c is the signal control cycle time;
t is a preset signal period parameter;
s5, calculating the green signal ratio of intersection signal control
Calculating an east-west traffic operation index and a south-north traffic operation index according to the traffic operation index of each road section in the entrance direction of the intersection and the road grade attribute of the road section, and calculating the split ratio of intersection signal control through a traffic operation index-split ratio relation model;
s51, east-west traffic operation index EWTPI
EWTPI＝RTPI1*ω1+RTPI2*ω2+,...,+RTPIh*ωh (8)
S52, and SNTPI
SNTPI＝RTPI1*ω1+RTPI2*ω2+,...,+RTPIn*ωn (9)
Wherein,
ω1,ω2,...,ωhweighting coefficients of the inlet road sections in the east-west direction;
ω1,ω2,...,ωnweighting coefficients of the inlet road sections in the north-south direction;
s53 Green letter ratio
The east-west split parameter is rewThe green signal ratio parameter in the north-south direction is rsn；
S54 green light time
East-west green time Gew＝C×rew，
Red light time R in east-west directionew＝C-GewY, Y represents the yellow light time.
And S6, entering the release terminal 5, calling the database interface service, sending the signal control real-time parameters in the equipment 4 to the signal control lamp, and dynamically inducing intersection traffic through the signal control lamp.
The invention fully utilizes the traffic flow and vehicle speed parameters of the coil information acquisition equipment to carry out data mining analysis, constructs the coil road section traffic operation index model and the intersection operation index model, realizes the self-optimization control of single-point intersection signals, provides real-time decision and emergency data for traffic management and control, reduces traffic accidents, and improves the intersection operation efficiency and service level.
It will be appreciated by those skilled in the art that the above embodiments are illustrative only and not intended to be limiting, and that suitable modifications and variations may be made to the above embodiments without departing from the true spirit and scope of the invention.
Claims (5)
1. A single-point self-optimization signal control method and a device based on coils are provided, the device used in the method comprises a coil detection device, a data communication device, a data storage and standardization server, a single-point self-optimization signal processing server and a signal distribution terminal device, and the devices are connected with each other according to sequential signals, and the method is characterized in that: the method comprises the following steps:
(1) installing coil vehicle detection equipment in each entrance direction of the intersection, numbering the detectors in a clockwise direction, and binding the serial numbers of the road sections to which the intersections belong with the serial numbers of the detectors;
(2) collecting traffic flow and vehicle speed parameter information of a detection section in real time through coil vehicle detection equipment, wherein the parameter information is transmitted back to a data storage and standardization server in real time through data communication equipment to perform real-time data storage and standardization processing;
(3) extracting real-time traffic data of a storage server, calculating an average traffic flow density parameter of a detection section, and calculating a real-time road section traffic operation index according to the average traffic flow density;
(4) according to the traffic operation indexes of all road sections in the entrance direction of the intersection and the road grade attributes of the road sections, the traffic operation indexes of the intersection are calculated in an aggregation mode, and the signal control period of the intersection is calculated through an intersection traffic operation index-signal period relation model;
(5) calculating an east-west traffic operation index and a south-north traffic operation index according to the traffic operation index of each road section in the entrance direction of the intersection and the road grade attribute of the road section, and calculating the split ratio of intersection signal control through a traffic operation index-split ratio relation model;
(6) and sending real-time parameters of intersection signal control to the signal control lamp by using the signal issuing terminal equipment and calling a database interface service, and dynamically inducing intersection traffic through the signal control lamp.
2. The coil-based single-point self-optimization signal control method and device according to claim 1, wherein: the method comprises the steps of constructing a traffic operation index model based on a coil, constructing a traffic operation index-signal period relation model and constructing a traffic operation index-split relation model.
3. The coil-based single-point self-optimization signal control method and device according to claim 2, wherein the coil-based traffic operation index model is constructed by constructing 4 parts including a road section traffic operation index, an intersection traffic operation index, an east-west traffic operation index and a north-south traffic operation index;
(31) extracting traffic flow data and speed data of each lane of the coil detection section, and respectively calculating an average traffic flow parameter and an average speed parameter of the detection section on the level of space dimension and time dimension;
average traffic flow parameterBy the formulaCalculating to obtain the data, wherein N is the lane where the vehicle is located, N is the total number of lanes of the road section, and q is the total number of lanes of the road sectionnA traffic flow for an nth lane; average velocity parameter vnBy passingIs calculated to obtain, wherein vnIs the speed of the n-th lane,average speed per granularity period;
(32) average traffic flow density parameterBy the formulaCalculating to obtain;
(33) road section traffic operation index RTPI passing formula
Calculating to obtain the values of x, y, z, p and m, wherein the values of x, y, z, p and m are road traffic jam feeling optimization parameters;
(34) intersection traffic operation index ITPI passing formula
ITPI＝RTPI1*ω1+RTPI2*ω2+,...,+RTPIj*ωjIs calculated to obtainInWeighting coefficients for each inlet direction;
(35) east-west traffic operation index EWTPI passing bulletin
EWTPI＝RTPI1*ω1+RTPI2*ω2+,...,+RTPIh*ωhIs calculated to obtain, wherein ω1,ω2,...,ωhWeighting coefficients of the inlet road sections in the east-west direction;
passing public indication of north-south traffic operation index SNTPI
SNTPI＝RTPI1*ω1+RTPI2*ω2+,...,+RTPIn*ωnIs calculated to obtain, wherein ω1,ω2,...,ωnThe weighting coefficients of the road sections of the north-south direction.
4. The coil-based single-point self-optimization signal control method and device according to claim 2, wherein: and constructing a traffic operation index-signal period relation model, wherein a signal period parameter C is T ITPI/10, and T is a preset signal period parameter.
5. The coil-based single-point self-optimization signal control method and device according to claim 2, wherein: the traffic operation index-split relation model is constructed by using east-west split parametersEast-west green time Gew＝C×rewRed light time R in east-west directionew＝C-GewY, Y represents the yellow light time.
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Application publication date: 20151021 |