CN104992565A - Coil-based trunk line self-optimization signal control method and device - Google Patents

Abstract

The invention discloses a coil-based trunk line self-optimization signal control method, which mainly relates to the field of trunk line intersection signal optimization control. Through comprehensive applications of a novel coil vehicle detection device, dynamic detection on traffic states of multiple intersections on the trunk line and signal optimization processing are realized. The method of the scheme comprises steps of coil device mounting, data acquisition and communication, trunk line self-optimization signal processing and calculation, and signal instruction release and control. The invention also provides a coil-based trunk line self-optimization signal control device. A two-dimensional active coil technology is adopted, real-time traffic states of multiple intersections on the trunk line can be accurately detected, the optimal signal control scheme is made, real-time decision making and emergency handling information are provided for traffic management and control, and the operational efficiency and the service level of the traffic of the main trunk line are enhanced.

Description

A kind of main line self-optimizing signal control method based on coil and device

Technical field

The present invention relates to the traffic signal optimization control field at the multiple crossing of main line, specifically a kind of main line self-optimizing signal control method based on coil and device.

Background technology

City friendship is blocked up and accident takes place frequently day by day, particularly section, crossing event of blocking up is serious, traffic control system that is advanced, that be suitable for is one of the most effective approach solving urban traffic congestion, and traffic signalization is the core of traffic control system, arterial traffic signal optimizing controls to play regional traffic induction advantage to greatest extent, improves road traffic operational efficiency.

Coil vehicle detection technique is that the road by blocking up at complex or easily formed installs coil collecting device, passing automobile quantity, speed, occupation rate are detected, the data collected are passed back by cable network the technology that server-centric carries out processing, dynamic traffic signal control can be carried out by the traffic parameter of Real-time Collection, realize effective rule induction of traffic flow, reduce traffic congestion to greatest extent.

At present, signal control method mainly comprises timing controlled, multi-period control, induction control and adaptive control etc., traditional model algorithm too stiff the change according to certain traffic parameter setting threshold value carry out signal optimizing, system can be caused the erroneous judgement of state; The present invention proposes a kind of main line self-optimizing signal control method based on coil, the real-time detection of index and comprehensive analysis is run by crossing, the signal extracting the multiple crossing of main line controls self-optimizing algorithm, greatly can improve the traffic circulation efficiency of arterial road.

Summary of the invention

A kind of main line self-optimizing signal control method based on coil and device, the equipment used in the method comprises Coil Detector equipment, data communications equipment, data store and standardized server, main line self-optimizing processing server signal and signal issue terminal equipment, between described each equipment, signal connects in order, and the method comprises the steps:

(1) in crossing, each importer upwards installs coil vehicle equipment, and the position that detecting device is buried underground is at 10-25 rice, stop line front;

(2) crossing on main line is numbered in order, then the detecting device of each crossing is numbered according to clockwise direction, the section numbering belonging to crossing and detecting device are numbered and binds;

(3) by coil vehicle checkout equipment, the traffic flow of Real-time Collection detector segments and car speed parameter information, described parameter information is through data communications equipment, and real-time returned data stores and standardized server, carries out real-time data memory and standardization;

(4) extract the real time traffic data of storage server, calculate detector segments average traffic current density parameter, and calculate real-time section traffic operation index according to average traffic current density;

(5) according to the traffic circulation exponential sum section road class attribute of each importer of crossing to section, polymerization calculates intersection traffic and runs index, run by intersection traffic the cycle that index-signal period relational model calculates integrative design intersection, and then draw the signal period of each crossing;

(6) according to the traffic circulation exponential sum section road class attribute of each importer of crossing to section, calculate crossing arterial traffic and run index, the arterial traffic of COMPREHENSIVE CALCULATING crossing runs exponential average;

(7) run exponential average-split model based on crossing arterial traffic, calculate the split of each crossing of main line, then calculate each integrative design intersection red light and green time;

(8) utilize signal issue terminal equipment, served by calling data bank interface, sent to by the real-time parameter of integrative design intersection signal to control lamp, control lamp by signal and each crossing traffic of main line is dynamically induced.

A kind of main line self-optimizing signal control method based on coil and device, it is characterized in that: the traffic circulation exponential model based on Coil Detector builds, traffic circulation index-signal period relational model builds, and runs exponential average-split model construction with crossing arterial traffic;

The described traffic circulation exponential model based on coil builds, and comprises road section traffic volume and runs index, intersection traffic operation index, crossing arterial traffic operation index 3 parts;

(A) extract traffic flow data and the speed data in each track of Coil Detector section, calculate average traffic stream parameter and the average velocity parameter of detector segments at Spatial Dimension and time dimension aspect respectively;

Average traffic stream parameter pass through formula calculate, wherein, n is track, place, and N is the total number in track in section, q _nit is the traffic flow in the n-th track; Average velocity parameter v _npass through calculate, wherein, v _nbe the speed in the n-th track, for the average velocity of unit granularity period;

(B) average traffic current density parameter pass through formula calculate;

(C) road section traffic volume operation index RTPI passes through formula

$RTPI=\left\{\begin{array}{c}2\&times;\frac{\stackrel{\&OverBar;}{k}}{x}(0\&le;\stackrel{\&OverBar;}{k}\&le;x)\\ 2+2\&times;\frac{\stackrel{\&OverBar;}{k}-x}{y-x}(x<\stackrel{\&OverBar;}{k}\&le;y)\\ 4+2\&times;\frac{\stackrel{\&OverBar;}{k}-y}{z-y}(y<\stackrel{\&OverBar;}{k}\&le;z)\\ 6+2\&times;\frac{\stackrel{\&OverBar;}{k}-z}{p-z}(z<\stackrel{\&OverBar;}{k}\&le;p)\\ 8+2\&times;\frac{\stackrel{\&OverBar;}{k}-p}{m-p}(p<\stackrel{\&OverBar;}{k}\&le;m)\\ 10(\stackrel{\&OverBar;}{k}>m)\end{array}\right.$ Calculate, wherein x, y, z, p, m value is that road traffic congestion experiences Optimal Parameters;

(D) intersection traffic runs index ITPI

ITPI＝RTPI ₁*ω ₁+RTPI ₂*ω ₂+,...,+RTPI _j*ω _j

Wherein, ω ₁, ω ₂..., ω _jfor each importer to weighting coefficient;

RTPI _jthe road section traffic volume calculated for each entrance ingress detecting device of crossing runs index;

(E) crossing arterial traffic runs index IATPI

IATPI＝RTPI ₁*ω ₁+RTPI ₂*ω ₂+,...,+RTPI _h*ω _h

Wherein, ω ₁, ω ₂..., ω _hfor the weighting coefficient in main line section, crossing;

Described traffic circulation index-signal period relational model builds, and signal period parameter C=T*ITPI/10, T are preset signals cycle parameters;

The arterial traffic of described crossing runs exponential average-split model construction, and crossing arterial traffic runs exponential average IATPI _mean, crossing split parameter main line direction, crossing green time G _i=C _i× r _i, main line direction, crossing red time R _i=C _i-G _i-Y, IATPI _ibe the crossing arterial traffic operation index of i-th crossing, C _ibe the signal control cycle time of i-th crossing, G _ibe the green time of i-th crossing main line, R _ibe the red time of i-th crossing main line, Y represents yellow time.

The present invention adopts active Coil technique, accurately can detect the real-time traffic states of the multiple crossing of main line, formulate optimization signal timing plan, for traffic administration and control provide Real-time Decision and emergency processing information, promote operational efficiency and the service level of trunk roads traffic.

Accompanying drawing explanation

Fig. 1 is workflow diagram of the present invention;

System equipment scheme of installation used in Fig. 2 Fig. 1;

System equipment connection diagram used in Fig. 3 Fig. 1.

Embodiment

A kind of main line self-optimizing signal control method based on coil as illustrated in fig. 1 and 2 and device, the equipment used in the method comprises coil vehicle checkout equipment 1, data communications equipment 2, for data storing and standardized server 3, main line self-optimizing processing server 4 and issue terminal equipment 5, between described each equipment, signal connects in order, and the method comprises following step:

S1, in crossing, each importer upwards installs coil vehicle equipment, and the position that detecting device is buried underground is at 10-25 rice, stop line front;

S2, the crossing on main line to be numbered in order, then the detecting device of each crossing to be numbered according to clockwise direction, the section numbering belonging to crossing and detecting device are numbered and binds;

S21, the crossing on main line to be numbered in order, crossing be numbered I _i, i is crossing sequence label, and I is total number of crossing on main line, i≤I;

The type of S22, crossing has multiple, common are five forks in the road, crossroad, T-shaped crossing, and this method is classified according to the number (J) in crossing inlet direction.

S23, to each crossing I _ibe numbered detecting device according to clockwise direction, detecting device is numbered D _ij, i be crossing numbering, j be importer to numbering, j≤J;

S24, coil checker are embedded in 10-25 rice, stop line front, and detection faces covers all tracks, section, and the equipment scheme of installation of general crossroad is as Fig. 2.

S3, by coil vehicle checkout equipment, the traffic flow of Real-time Collection detector segments and car speed parameter information, described parameter information is through data communications equipment, and real-time returned data stores and standardized server, carries out real-time data memory and standardization;

The real time traffic data of S4, extraction storage server, calculates detector segments average traffic current density parameter, and calculates real-time section traffic operation index according to average traffic current density;

S41, average traffic current density

The data layout of coil apparatus real-time report is (t, n, q, v), t represents and calls time, and n represents track, place, and q represents traffic flow data, and v represents flow speeds data, the unit of (t, n, q, v) be respectively second, 1 ,/hour/track and thousand ms/h.

Suppose that sample data collection can be expressed as S={ (t, 1, q ₁, v ₁), (t, 2, q ₂, v ₂) ..., (t, n, q _n, v _n), the average traffic stream q of section to be measured Spatial Dimension and time dimension in timing statistics, the average velocity in unit particle size cycle the average traffic density of section to be measured Spatial Dimension and time dimension (unit :/km/track), then

$\stackrel{\&OverBar;}{q}=\underset{n=1}{\overset{N}{\&Sigma;}}{q}_n/N---\left(1\right)$

$\stackrel{\&OverBar;}{v}=\underset{n=1}{\overset{N}{\&Sigma;}}{v}_n/N---\left(2\right)$

$\stackrel{\&OverBar;}{k}=\frac{\stackrel{\&OverBar;}{q}}{\stackrel{\&OverBar;}{v}}---\left(3\right)$

In above-mentioned formula: n is track, place; N is the total number in track in section; q _nit is the traffic flow in the n-th track; v _nbe the speed in the n-th track.

S42, road section traffic volume run index

Build road section traffic volume and run index RTPI (Road Traffic Performance Index) and average traffic current density functional relationship model,

$RTPI=\left\{\begin{array}{c}2\&times;\frac{\stackrel{\&OverBar;}{k}}{x}(0\&le;\stackrel{\&OverBar;}{k}\&le;x)\\ 2+2\&times;\frac{\stackrel{\&OverBar;}{k}-x}{y-x}(x<\stackrel{\&OverBar;}{k}\&le;y)\\ 4+2\&times;\frac{\stackrel{\&OverBar;}{k}-y}{z-y}(y<\stackrel{\&OverBar;}{k}\&le;z)\\ 6+2\&times;\frac{\stackrel{\&OverBar;}{k}-z}{p-z}(z<\stackrel{\&OverBar;}{k}\&le;p)\\ 8+2\&times;\frac{\stackrel{\&OverBar;}{k}-p}{m-p}(p<\stackrel{\&OverBar;}{k}\&le;m)\\ 10(\stackrel{\&OverBar;}{k}>m)\end{array}\right.---\left(4\right)$

Wherein x, y, z, p, m value is that road traffic congestion experiences Optimal Parameters, needs to utilize questionnaire and data analysis the Fitting Calculation, and different categories of roads, and parameter size is also different, and suggesting system for wearing initialized reference value is as table 1.

Table 1 road section traffic volume runs exponential model parameter

S5, according to the traffic circulation exponential sum section road class attribute of each importer of crossing to section, polymerization calculates intersection traffic and runs index, run by intersection traffic the cycle that index-signal period relational model calculates integrative design intersection, and then draw the signal period of each crossing;

Index is run in S51, crossing

It is run to road section traffic volume the polymerization analysis that the basis of index is carried out each importer of crossing to calculate that index ITPI (Intersection Traffic PerformanceIndex) is run in crossing,

ITPI＝RTPI ₁*ω ₁+RTPI ₂*ω ₂+,...,+RTPI _j*ω _j(5)

ω ₁, ω ₂..., ω _jfor each importer to weighting coefficient;

RTPI _jthe road section traffic volume calculated for each entrance ingress detecting device of crossing runs index;

The weighting coefficient in crossing inlet direction is relevant with category of roads, in table 2:

Table 2 category of roads and crossing weight relationship table

Category of roads	Through street	Trunk roads	Secondary distributor road	Branch road
					Weighted value	P1	P2	P3	P4

The some importers in crossing to weighted value computing formula as follows:

${\mathrm{\&omega;}}_j=\frac{{{\mathrm{\&omega;}}_j}^{\&prime;}}{\underset{1}{\overset{J}{\&Sigma;}}{{\mathrm{\&omega;}}_j}^{\&prime;}}---\left(6\right)$

Wherein:

ω _j' be importer to weighted value corresponding to category of roads;

J is the total number in crossing inlet direction, j be importer to numbering, j≤J;

S52, integrative design intersection cycle

According to the traffic circulation exponential sum section road class attribute of each importer of crossing to section, polymerization calculates intersection traffic and runs index, runs by intersection traffic the cycle that index-signal period relational model calculates integrative design intersection;

C＝T*ITPI/10 (7)

Wherein,

C is the signal control cycle time;

T is preset signals cycle parameter;

S6, according to the traffic circulation exponential sum section road class attribute of each importer of crossing to section, calculate crossing arterial traffic and run index, the arterial traffic of COMPREHENSIVE CALCULATING crossing runs exponential average;

S61, crossing arterial traffic run index IATPI

IATPI＝RTPI ₁*ω ₁+RTPI ₂*ω ₂+,...,+RTPI _h*ω _h(8)

ω ₁, ω ₂..., ω _hfor the weighting coefficient in main line section, crossing;

S62, crossing arterial traffic run exponential average IATPI _mean

${\mathrm{IATPI}}_{mean}=\frac{\underset{i}{\overset{I}{\&Sigma;}}{\mathrm{IATPI}}_i}{I}---\left(9\right)$

IATPI _iit is the crossing arterial traffic operation index of i-th crossing;

I is total number of crossing on main line;

S7, run exponential average-split model based on crossing arterial traffic, calculate the split r of each crossing of main line _i, then calculate each integrative design intersection green light G _iwith red time R _i;

$r_i=\frac{{\mathrm{IATPI}}_i}{{\mathrm{IATPI}}_{mean}+{\mathrm{IATPI}}_i}---\left(10\right)$

G _i＝C _i×r _i(11)

R _i＝C _i-G _i-Y (12)

Wherein,

C _iit is the signal control cycle time of i-th crossing;

G _iit is the green time of i-th crossing main line;

R _iit is the red time of i-th crossing main line;

Y represents yellow time.

S8, enter issue terminal 5, served by calling data bank interface, the signal in equipment 4 is controlled real-time parameter and send to signal to control lamp, control lamp by signal and crossing traffic is dynamically induced.

The present invention make use of the traffic flow of coil information collecting device fully and car speed parameter carries out data mining analysis, construct coil road section traffic volume and run exponential model and crossing operation exponential model, achieve the self-optimizing control of multiple crossing signals on arterial road, for traffic administration and control provide Real-time Decision and emergency data, reduce traffic hazard, crossing operational efficiency can be increased, promote the service level of arterial road traffic.

Those skilled in the art will be appreciated that; above embodiment is only used to the present invention is described; and be not used as limitation of the invention; as long as within spirit of the present invention, the suitable change do above embodiment and change all drop within the scope of protection of present invention.

Claims (5)

1. a kind of main line self-optimizing signal control method based on coil and device, the equipment used in the method comprises coil apparatus, data communications equipment, data store and standardized server, main line self-optimizing processing server signal and signal issue terminal equipment, between described each equipment, signal connects in order, it is characterized in that: the method comprises the steps:

(1) in crossing, each importer upwards installs coil vehicle equipment, and the position that detecting device is buried underground is at 10-25 rice, stop line front;

(2) crossing on main line is numbered in order, then the detecting device of each crossing is numbered according to clockwise direction, the section numbering belonging to crossing and detecting device are numbered and binds;

(3) by coil vehicle checkout equipment, the traffic flow of Real-time Collection detector segments and car speed parameter information, described parameter information is through data communications equipment, and real-time returned data stores and standardized server, carries out real-time data memory and standardization;

(4) extract the real time traffic data of storage server, calculate detector segments average traffic current density parameter, and calculate real-time section traffic operation index according to average traffic current density;

(5) according to the traffic circulation exponential sum section road class attribute of each importer of crossing to section, polymerization calculates intersection traffic and runs index, run by intersection traffic the cycle that index-signal period relational model calculates integrative design intersection, and then draw the signal period of each crossing;

(6) according to the traffic circulation exponential sum section road class attribute of each importer of crossing to section, calculate crossing arterial traffic and run index, the arterial traffic of COMPREHENSIVE CALCULATING crossing runs exponential average;

(7) run exponential average-split model based on crossing arterial traffic, calculate the split of each crossing of main line, then calculate each integrative design intersection red light and green time;

(8) utilize signal issue terminal equipment, served by calling data bank interface, sent to by the real-time parameter of integrative design intersection signal to control lamp, control lamp by signal and each crossing traffic of main line is dynamically induced.

2. according to claimdescribed in 1 a kind of main line self-optimizing signal control method based on coil and device, it is characterized in that: the traffic circulation exponential model based on coil builds, traffic circulation index-signal period relational model builds, and runs exponential average-split model construction with crossing arterial traffic.

3. according to claimdescribed in 2 a kind of main line self-optimizing signal control method based on coil and device, it is characterized in that, the described traffic circulation exponential model based on coil builds, and comprises road section traffic volume and runs index, intersection traffic operation index, crossing arterial traffic operation index 3 parts;

(31) extract traffic flow data and the speed data in each track of Coil Detector section, calculate average traffic stream parameter and the average velocity parameter of detector segments at Spatial Dimension and time dimension aspect respectively;

Average traffic stream parameter pass through formula calculate, wherein, n is track, place, and N is the total number in track in section, q _nit is the traffic flow in the n-th track; Average velocity parameter v _npass through calculate, wherein, v _nbe the speed in the n-th track, for the average velocity of unit granularity period;

(32) average traffic current density parameter pass through formula calculate;

(33) road section traffic volume operation index RTPI passes through formula

calculate, wherein x, y, z, p, m value is that road traffic congestion experiences Optimal Parameters;

(34) intersection traffic operation index ITPI passes through formula

ITPI=RTPI ₁* ω ₁+ RTPI ₂* ω ₂+ ... ,+RTPI _j* ω _jcalculate, wherein ω ₁, ω ₂..., ω _jfor each importer to weighting coefficient;

(35) crossing arterial traffic operation index IATPI passes through publicity

IATPI=RTPI ₁* ω ₁+ RTPI ₂* ω ₂+ ... ,+RTPI _h* ω _hcalculate, wherein ω ₁, ω ₂..., ω _hfor the weighting coefficient in main line section, crossing.

4. according to claimdescribed in 2 a kind of main line self-optimizing signal control method based on coil and device, it is characterized in that: described traffic circulation index-signal period relational model builds, and signal period parameter C=T*ITPI/10, T are preset signals cycle parameters.

5. according to claimdescribed in 2 a kind of main line self-optimizing signal control method based on coil and device, it is characterized in that: the arterial traffic of described crossing runs exponential average-split model construction, crossing arterial traffic runs exponential average IATPI _mean, crossing split parameter main line direction, crossing green time G _i=C _i× r _i, main line direction, crossing red time R _i=C _i-G _i-Y, IATPI _ibe the crossing arterial traffic operation index of i-th crossing, C _ibe the signal control cycle time of i-th crossing, G _ibe the green time of i-th crossing main line, R _ibe the red time of i-th crossing main line, Y represents yellow time.