CN105070073A - Geomagnetism-based region self-optimization signal control method and device - Google Patents
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Abstract
The invention relates to a geomagnetism-based region self-optimization signal control method, and mainly relates to the field of region road network intersection signal optimization control. Through the integrated application of a novel geomagnetism vehicle detection device, dynamic detection and signal optimization of the traffic state of a number of intersections on a region road network are realized. The method comprises the steps of geomagnetism detection device installation, data acquisition and communication, region road network self-optimization signal processing calculation, and signal instruction issuing and control. The invention further provides a geomagnetism-based region self-optimization signal control device. According to the invention, an active geomagnetism detection technology is used; the real-time traffic state of a number of intersections in a region road network can be accurately detected; a region optimization signal control scheme is developed; real-time decisions and emergency processing information are provided for traffic management and control; and the operation efficiency and the service level of the region toad network traffic are enhanced.
Description
Technical Field
The invention relates to the field of traffic signal optimization control of a plurality of intersections of a regional road network, in particular to a regional self-optimization signal control method and device based on geomagnetism.
Background
The urban traffic jam and accidents frequently occur day by day, particularly, the traffic management system with serious, advanced and applicable road jam events at intersections is one of the most effective ways for solving the urban traffic jam, the traffic signal control is the core of the traffic management system, and the optimal control of the traffic signals of the regional road network can furthest exert the regional traffic induction advantages and improve the road traffic operation efficiency.
The geomagnetic vehicle detection technology is a technology that geomagnetic acquisition equipment is installed on a road with complex conditions or easy to form congestion, the number, speed and occupancy of passing automobiles are detected, acquired data are transmitted back to a server center through a wired network to be processed, dynamic traffic signal control can be performed through traffic parameters acquired in real time, 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 geomagnetic-based regional self-optimization signal control method, which extracts a signal control self-optimization algorithm of a plurality of intersections of a regional road network through real-time detection and comprehensive analysis of intersection running indexes, and can greatly improve the running efficiency of regional road network road traffic.
Disclosure of Invention
A method and a device for controlling regional self-optimization signals based on geomagnetism are disclosed, the devices used in the method comprise a geomagnetic detection device, a data communication device, a data storage and standardization server, a regional road network self-optimization signal processing server and a signal distribution terminal device, all the devices are connected according to a sequence signal, the method comprises the following steps:
(1) geomagnetic vehicle detection equipment is arranged in each entrance direction of the intersection, and the detector is buried 10-25 meters ahead of the stop line;
(2) numbering intersections of a regional road network in sequence, numbering detectors of each intersection in a clockwise direction, and binding road section numbers to which the intersections belong with the detector numbers;
(3) collecting traffic flow and vehicle speed parameter information of a detection section in real time through geomagnetic 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 carry out real-time data storage and standardization processing;
(4) 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;
(5) 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, the signal control period of the intersection is calculated through an intersection traffic operation index-signal period relation model, and then the signal period of each intersection is obtained;
(6) calculating a traffic operation index of a main line of the intersection according to the traffic operation index of each road section in the inlet direction of the intersection and the road grade attribute of the road section, and comprehensively calculating the average value of the traffic operation indexes of the intersection of the regional road network;
(7) calculating the green ratio of each intersection trunk line of the regional road network according to a trunk line priority principle based on a regional road network intersection traffic running index average value-green ratio model, and then calculating the time of each intersection trunk line signal control red light and green light;
(8) 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 traffic of each intersection of the regional road network through the signal control lamp.
A method and a device for controlling a regional self-optimization signal based on geomagnetism are characterized in that: constructing a traffic operation index model based on geomagnetism, constructing a traffic operation index-signal period relation model, and constructing a regional road network intersection traffic operation index average value-green ratio model;
the traffic operation index model based on the geomagnetism is constructed and comprises 4 parts of a road section traffic operation index, an intersection trunk traffic operation index and an average value of a regional road network traffic operation index;
(A) extracting traffic flow data and speed data of each lane of a geomagnetic 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) intersection main line traffic operation index IATPI passing bulletin
IATPI＝RTPI1*ω1+RTPI2*ω2+,...,+RTPIh*ωhIs calculated to obtain, wherein ω1,ω2,...,ωhWeighting coefficients for the crossroad trunk sections;
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 regional road network intersection traffic running index average value-split green ratio model is constructed, and the regional road network intersection traffic running index average value AITPImeanIntersection trunk line split parameterGreen time G of main line at intersectioni＝Ci×riRed light time R of main line of intersectioni＝Ci-Gi-Y，IATPIiIs the intersection trunk traffic running index of the ith intersection, CiControlling the cycle time for the signal at the ith intersection, GiThe green time, R, of the road network of the ith intersection areaiIs as followsThe red light time of the road network of the i intersection areas, and Y represents the yellow light time.
By adopting the active geomagnetic technology, the invention can accurately detect the real-time traffic states of a plurality of intersections of the regional road network, formulate the optimal signal control scheme of the regional road network, provide real-time decision and emergency processing information for traffic management and control and improve the operation efficiency and service level of the regional road network traffic.
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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 geomagnetic-based regional self-optimization signal control method and device are provided, the method uses devices including a geomagnetic vehicle detection device 1, a data communication device 2, a data storage and standardization server 3, a regional network 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, geomagnetic vehicle detection equipment is installed in each entrance direction of the intersection, and the detector is buried 10-25 meters ahead of the stop line;
s2, numbering intersections of the regional road network in sequence, numbering detectors of each intersection in the clockwise direction, and binding the road section number to which the intersection belongs with the detector number;
s21, numbering the intersections on the regional road network in sequence, wherein the number of the intersection is IiI is a crossing sorting label, I isThe total number of intersections on the regional road network, I is less than or equal to I;
s22, 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.
S23, aiming at each intersection IiNumbering the detectors in a clockwise direction, the detectors numbered DijI is the number of the intersection, J is the number of the inlet direction, and J is less than or equal to J;
s24, the geomagnetic detector is buried in the 10-25 m front of the stop line, the detection surface covers all lanes of the road, and the equipment installation schematic diagram of a common intersection is shown in figure 2.
S3, collecting traffic flow and vehicle speed parameter information of a detection section in real time through geomagnetic vehicle detection equipment, and transmitting the parameter information back to a data storage and standardization server in real time through data communication equipment to perform real-time data storage and standardization processing;
s4, extracting real-time traffic data of the storage server, calculating average traffic flow density parameters of the detection sections, and calculating a real-time road section traffic operation index according to the average traffic flow density;
s41 average traffic flow density
The data format reported by the geomagnetic equipment in real time is (t, n, q, v), t represents the reporting time, n represents the lane in which the geomagnetic equipment is positioned, 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.
S42 road section traffic operation index
Constructing a road section traffic operation index RTPI (roadtrafficPerformanceIndex) and an 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
S5, according to the traffic operation indexes of all the road sections in the entrance direction of the intersection and the road grade attributes of the road sections, calculating the traffic operation indexes of the intersection in an aggregation manner, and calculating the signal control period of the intersection through an intersection traffic operation index-signal period relation model so as to obtain the signal period of each intersection;
s51 intersection running index
The intersection operational index ITPI (intersectiontrafficPerformance index) is a polymerization analysis calculation based on the traffic operational 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;
RTPIjcalculating a road section traffic operation index for each inlet road section detector of the intersection;
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 | P1 | P2 | P3 | P4 |
The weight value calculation formula of a certain inlet direction at the intersection is as follows:
wherein:
ωj' is 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, J is the inlet direction number, and J is less than or equal to J;
s52 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;
s6, calculating an intersection main line 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 comprehensively calculating the average value of the intersection traffic operation indexes of the regional road network;
s61 intersection main line traffic operation index IATPI
IATPI＝RTPI1*ω1+RTPI2*ω2+,...,+RTPIh*ωh(8)
ω1,ω2,...,ωhWeighting coefficients for the crossroad trunk sections;
s62, area road network intersection traffic running index average value AITPImean
ITPIiThe intersection traffic running index of the ith intersection;
i is the total number of intersections on the regional road network;
s7, calculating the split ratio r of each intersection trunk line of the regional road network based on the regional road network intersection traffic running index average value-split ratio modeliThen calculating the main line signal of each intersection to control the green light GiAnd red light time Ri；
Gi＝Ci×ri(11)
Ri＝Ci-Gi-Y(12)
Wherein,
Cicontrolling the cycle time for the signal of the ith intersection;
Githe time of green light of the road network of the ith intersection area is set;
Rithe red light time of the road network of the ith intersection area;
y represents yellow light time.
And S8, 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 geomagnetic information acquisition equipment to carry out data mining analysis, constructs a road section traffic operation index model and an intersection operation index model based on the geomagnetism, realizes the self-optimization control of each intersection signal of the regional road network, provides real-time decision and emergency data for traffic management and control, reduces traffic accidents, can increase the intersection operation efficiency and improve the service level of road traffic of the regional road network.
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 method and a device for controlling a regional self-optimization signal based on geomagnetism are disclosed, wherein the device used in the method comprises a geomagnetism detection device, a data communication device, a data storage and standardization server, a regional self-optimization signal processing server and a signal distribution terminal device, and the devices are connected by signals in sequence, and the method is characterized in that: the method comprises the following steps:
(1) geomagnetic vehicle detection equipment is arranged in each entrance direction of the intersection, and the detector is buried 10-25 meters ahead of the stop line;
(2) numbering intersections of a regional road network in sequence, numbering detectors of each intersection in a clockwise direction, and binding road section numbers to which the intersections belong with the detector numbers;
(3) collecting traffic flow and vehicle speed parameter information of a detection section in real time through geomagnetic 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 carry out real-time data storage and standardization processing;
(4) 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;
(5) 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, the signal control period of the intersection is calculated through an intersection traffic operation index-signal period relation model, and then the signal period of each intersection is obtained;
(6) calculating a traffic operation index of a main line of the intersection according to the traffic operation index of each road section in the inlet direction of the intersection and the road grade attribute of the road section, and comprehensively calculating the average value of the traffic operation indexes of the intersection of the regional road network;
(7) calculating the green ratio of each intersection trunk line of the regional road network according to a trunk line priority principle based on a regional road network intersection traffic running index average value-green ratio model, and then calculating the time of each intersection trunk line signal control red light and green light;
(8) 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 traffic of each intersection of the regional road network through the signal control lamp.
2. The method and apparatus of claim 1, wherein the method comprises: the method comprises the steps of constructing a traffic operation index model based on geomagnetism, constructing a traffic operation index-signal period relation model, and constructing a regional road network intersection traffic operation index average value-split ratio model.
3. The geomagnetic-based regional self-optimization signal control method and device according to claim 2, wherein the geomagnetic-based traffic operation index model is constructed by 4 parts of a road section traffic operation index, an intersection trunk traffic operation index and an average value of regional road network traffic operation indexes;
(31) extracting traffic flow data and speed data of each lane of a geomagnetic 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 obtain, wherein ω1,ω2,...,ωjWeighting coefficients for each inlet direction;
(35) intersection main line traffic operation index IATPI passing bulletin
IATPI＝RTPI1*ω1+RTPI2*ω2+,...,+RTPIh*ωhIs calculated to obtain, wherein ω1,ω2,...,ωhIs the weighting coefficient of the intersection trunk section.
4. The method and apparatus of claim 2, wherein the method comprises: 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 method and apparatus of claim 2, wherein the method comprises: the regional road network intersection traffic running index average value-split green ratio model is constructed, and the regional road network intersection traffic running index average value AITPImeanIntersection trunk line split parameterGreen time G of main line at intersectioni＝Ci×riRed light time R of main line of intersectioni＝Ci-Gi-Y，IATPIiIs the intersection trunk traffic running index of the ith intersection, CiAt signal control cycle of ith intersectionM, GiThe green time, R, of the road network of the ith intersection areaiThe red light time of the road network of the ith intersection area is shown, and the Y represents the yellow light time.
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Application publication date: 20151118 |
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| RJ01 | Rejection of invention patent application after publication |