CN104484994B - Urban road network traffic based on array radar runs index number evaluation method - Google Patents

Abstract

The present invention relates to urban road network traffic based on array radar and run index number evaluation method, including: at the section mounted array radar vehicle detection equipment that traffic flow is bigger, by the real-time traffic parameter information real-time Transmission of acquisition to background server；Core processing server extracts traffic flow and vehicle speed data, calculate average traffic stream and the average speed data in each section, calculate the average traffic current density in each section, extract the traffic circulation index in each section of road network, calculate grade road traffic and run index, the traffic circulation index that repolymerization analytical calculation road network is overall, it is determined that the traffic circulation state grade of current road network；Issue terminal equipment carries out information issue to the public.The present invention improves the accuracy of road section traffic volume event acquisition, reduces the cost of large area traffic information collection, improves accuracy and the traffic administration service level of system postitallation evaluation.

Description

Urban road network traffic based on array radar runs index number evaluation method

Technical field

The present invention relates to urban road network traffic postitallation evaluation technical field, a kind of city based on array radar road Net traffic circulation index number evaluation method.

Background technology

Along with socioeconomic development, motor vehicles constantly increases, between existing road traffic resource and the volume of traffic Imbalance between supply and demand is the most increasing, and the traffic jam issue thus caused progressively becomes the great difficult problem affecting resident trip.It is full Foot the people's safe and convenient trip, to the whole society provide in time, trip information service accurately be traffic transport industry provide High-quality, variation, multi-level transportation service, the Important Action ensureing and improving People's livelihood.Road traffic operation conditions Being the concrete embodiment of urban management level and comprehensive strength, traffic circulation index is understood road operation conditions especially, is formulated traffic Decision-making and the important evidence of traffic-information service is provided to the public.By integrating multi-source data, founding mathematical models, calculate Obtain the operating speed in each section in road network and generate traffic behavior, then by the weight of blocking up of each road, by all for urban district roads Congestion comprehensive integration be one " traffic circulation index ", can succinctly, intuitively digitized description road grid traffic run Situation.

From the point of view of achievement in research both domestic and external, the traffic circulation index constituting traffic circulation appraisement system specifically includes that out Row time and delay, Assessment of Serviceability of Roads, average travel speed, road run index, congestion in road index etc..Array radar is handed over Communication breath acquisition mode tool has many good points, and uses two dimension active matrix Radar Technology, can large-scale road surface, region greatly Transport information detection, accurately detection multiobject present position and instantaneous velocity, queue length, the multiclass traffic such as drive in the wrong direction can be detected Event, solve the missing inspection such as occlusion, parking or examine problem more, bring more fully data and more for traffic information collection Newly, wider application.There is presently no and carry out city large area road grid traffic postitallation evaluation based on array radar detection equipment Apparatus and method.

Summary of the invention

It is an object of the invention to provide one and can reduce traffic information collection cost, improve the standard that road information gathers Exactness and efficiency, it is achieved in the range of road network, traffic circulation state quick and precisely issues and intellectual inducing based on array radar Urban road network traffic runs index number evaluation method.

For achieving the above object, present invention employs techniques below scheme: a kind of city road network based on array radar is handed over Logical running index number evaluation method, the method includes the step of following order:

(1), under city road network road traffic environment, in the section that traffic flow is bigger, the inspection of multiple array radar vehicles is installed Measurement equipment；

(2) the real-time traffic parameter information of acquisition is passed in real time by array radar vehicle equipment by data communications equipment Transporting to background server and be standardized storage, real-time traffic parameter information is sent to core processing service by background server Device；

(3) core processing server extracts traffic flow and the vehicle speed data of each array radar vehicle equipment, Average traffic stream and the average speed data in each section is calculated on the basis of cycle granularity, and according to average traffic stream with average Speed data calculates the average traffic current density in each section；

(4) core processing server extracts the traffic fortune in each section of road network according to the average traffic current density in each section Row index, category of roads based on section to be measured, calculate grade road traffic and run index, then run based on grade road traffic Index polymerization analysis calculates the traffic circulation index that road network is overall, it is determined that the traffic circulation state grade of current road network；

(5) the traffic circulation state grade of road network is carried out information issue to the public by issue terminal equipment.

The computational methods of the average traffic current density that described core processing server calculates section to be measured are as follows:

The data form of array radar vehicle equipment real-time report is (t, n, q_i,v_i), t represents and calls time, n table Showing track, place, i represents that array radar vehicle equipment is numbered, q_iRepresent the friendship of i-th array radar vehicle equipment Through-flow data, v_iRepresent i-th array radar vehicle equipment flow speeds data, (t, n, q_i,v_i) unit be respectively Second, individual ,/hour/track and thousand ms/h；

Assume that sample data set is represented by S={ (t, n, q₁,v₁),(t,n,q₂,v₂),...,(t,n,q_i,v_i), sample Process granularity period be T, its unit is hour, in the time of statistical disposition granularity period T section to be measured Spatial Dimension and time Between the average traffic stream of dimension

$\stackrel{\‾}{q_i}=\underset{n=1}{\overset{N}{\Σ}}{q}_{in}/N---\left(1\right)$

In formula (1), n is track, place；N is total number in test point track；q_inFor i-th array radar vehicle detection The traffic flow in equipment the n-th track；Average traffic stream for the i-th array radar vehicle equipment unit particle size cycle；

The average speed of unit of account granularity period again:

$\stackrel{\‾}{v_i}=\underset{n=1}{\overset{N}{\Σ}}{v}_{in}/N---\left(2\right)$

In formula (2), n is track, place；N is total number in test point track；v_inFor i-th test point the n-th track Speed；Average speed for the i-th test point unit particle size cycle；

Section to be measured Spatial Dimension and the average traffic current density of time dimension in the time of statistical disposition granularity period T

$\stackrel{\‾}{k_i}=\frac{\stackrel{\‾}{q_i}}{\stackrel{\‾}{v_i}}---\left(3\right)$

In formula (3),For the average traffic current density of i-th test point unit particle size, its unit is/km/car Road.

The method of the traffic circulation index extracting each section of road network is as follows:

Build road section traffic volume and run index RTPI and average traffic current densityFunctional relationship model:

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

Table 1 traffic circulation exponential model parameter

In formula (4), the value of x, y, z, p, m is that road traffic congestion experiences parameters optimization, gives it according to category of roads Parameter value, its initialized reference value is as shown in table 1.

Described grade road traffic runs index and includes: trunk roads run Index A TPI, secondary distributor road operation index STPI, prop up Index LTPI is run on road and index FTPI is run in through street；

$ATPI=\underset{i=1}{\overset{I_A}{\&Sigma;}}{\mathrm{RTPI}}_i/I_A---\left(5\right)$

$STPI=\underset{i=1}{\overset{I_S}{\&Sigma;}}{\mathrm{RTPI}}_i/I_S---\left(6\right)$

$LTPI=\underset{i=1}{\overset{I_L}{\&Sigma;}}{\mathrm{RTPI}}_i/I_L---\left(7\right)$

$FTPI=\underset{i=1}{\overset{I_F}{\&Sigma;}}{\mathrm{RTPI}}_i/I_F---\left(8\right)$

Wherein, I_AFor total number of array radar vehicle detection equipment on trunk roads；I_SFor array radar vehicle on secondary distributor road Total number of detection equipment；I_LFor total number of array radar vehicle detection equipment on branch road；I_FFor array radar truck on through street Detection equipment total number；RTPI_iFor the traffic circulation index in i-th detection section on each grade road；

Calculate the traffic circulation index that road network is overall again:

NTPI=ATPI* ω₁+STPI*ω₂+LTPI*ω₃+FTPI*ω₄ (9)

Table 2 weighted value recommendation tables (working day)

	Through street	Trunk roads	Secondary distributor road	Branch road	Add up to
						Peak period	0.20	0.45	0.15	0.20	1.00
Other periods	0.22	0.43	0.17	0.18	1.00

Table 3 weighted value recommendation tables (festivals or holidays)

	Through street	Trunk roads	Secondary distributor road	Branch road	Add up to
						All the period of time	0.20	0.41	0.16	0.23	1.00

In formula (9), ω₁,ω₂,ω₃,ω₄Represent trunk roads, secondary distributor road, branch road and through street respectively

Weighted value, weights initialisation value is as shown in table 2, table 3.

Table 4 road grid traffic runs index hierarchical table

Traffic circulation index	[0,2]	(2,4]	(4,6]	(6,8]	(8,10]
						State evaluation grade	The most unimpeded	Unimpeded	Jogging	Crowded	Block up

Run the traffic behavior grade of the size current road network of division of index NTPI according to road grid traffic according to table 4.

As shown from the above technical solution, the present invention utilizes the array radar vehicle detection on all sections to be measured of city road network The Real-time Traffic Information of equipment, first calculates the average traffic current density in each section, then extracts the traffic in each section of road network Running index, then calculate grade road traffic and run index, last polymerization analysis calculates the traffic circulation index that road network is overall, Judge the traffic circulation state grade of current road network.The present invention is sufficiently used traffic flow and car speed traffic parameter is carried out Integrated treatment, improves the accuracy of road section traffic volume event acquisition, runs index based on road grid traffic and realizes city road network entirety Traffic circulation state evaluation, reduce large area information gathering and carry out the cost of traffic circulation evaluation, raising system is run and is commented The accuracy of valency and traffic administration service level.

Accompanying drawing explanation

Fig. 1 is the method flow diagram of the present invention；

Fig. 2 is assembly of the invention structured flowchart.

Detailed description of the invention

A kind of urban road network traffic based on array radar runs index number evaluation method, including: (1) city road network road is handed over Under logical environment, multiple array radar vehicle equipments are installed in the section bigger in traffic flow；(2) array radar vehicle detection The real-time traffic parameter information of acquisition is standardized depositing by equipment by data communications equipment real-time Transmission to background server Storage, loss, abnormal data are filtered after cleaning and are standardized storage by background server；Background server is by real-time traffic parameter Information sends to core processing server；(3) core processing server extracts the traffic of each array radar vehicle equipment Stream and vehicle speed data, calculate average traffic stream and the average speed data in each section, and root on the basis of cycle granularity The average traffic current density in each section is calculated according to average traffic stream and average speed data；(4) core processing server according to The average traffic current density in each section extracts the traffic circulation index in each section of road network, road etc. based on section to be measured Grade, calculate grade road traffic and run index, then run index polymerization analysis calculating road network entirety based on grade road traffic Traffic circulation index, it is determined that the traffic circulation state grade of current road network, the traffic circulation state of the present invention has five ranks: non- Chang Changtong, unimpeded, jogging, crowded and block up；(5) public is carried out by issue terminal equipment by the traffic circulation state grade of road network Information is issued, and utilizes issue terminal equipment to carry out issuing open and traffic guidance, as shown in Figure 1.

As it is shown in figure 1, under city road network road traffic environment, at the section mounted array radar vehicle that traffic flow is bigger Detection equipment, obtains the real-time traffic parameter information of each array radar vehicle equipment of road network；Battle array is installed on road network road The section of row radar vehicle detection equipment is the most, and the accuracy of traffic circulation index assessment is the highest, but the increase of equipment can increase The expense of adding system, the number of concrete number of detectors to determine according to the size of city road network annual average daily traffic.

The computational methods of the average traffic current density that described core processing server calculates section to be measured are as follows:

The data form of array radar vehicle equipment real-time report is (t, n, q_i,v_i), t represents and calls time, n table Showing track, place, i represents that array radar vehicle equipment is numbered, q_iRepresent the friendship of i-th array radar vehicle equipment Through-flow data, v_iRepresent i-th array radar vehicle equipment flow speeds data, (t, n, q_i,v_i) unit be respectively Second, individual ,/hour/track and thousand ms/h；

Assume that sample data set is represented by S={ (t, n, q₁,v₁),(t,n,q₂,v₂),...,(t,n,q_i,v_i), sample Process granularity period be T, its unit is hour, in the time of statistical disposition granularity period T section to be measured Spatial Dimension and time Between the average traffic stream of dimension

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

In formula (1), n is track, place；N is total number in test point track, and described test point is mounted array radar The position of vehicle equipment；q_inTraffic flow for i-th array radar vehicle equipment the n-th track；For i-th array The average traffic stream of radar vehicle detection FU granularity period；

The average speed of unit of account granularity period again:

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

In formula (2), n is track, place；N is total number in test point track, and described test point is mounted array radar The position of vehicle equipment；v_inSpeed for i-th test point the n-th track；For the i-th test point unit particle size cycle Average speed；

Section to be measured Spatial Dimension and the average traffic current density of time dimension in the time of statistical disposition granularity period T

$\stackrel{\&OverBar;}{k_i}=\frac{\stackrel{\&OverBar;}{q_i}}{\stackrel{\&OverBar;}{v_i}}---\left(3\right)$

In formula (3),For the average traffic current density of i-th test point unit particle size, its unit is/km/car Road.

The method of the traffic circulation index extracting each section of road network is as follows:

Build road section traffic volume and run index RTPI and average traffic current densityFunctional relationship model:

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

Table 1 traffic circulation exponential model parameter

In formula (4), the value of x, y, z, p, m is that road traffic congestion experiences parameters optimization, gives it according to category of roads Parameter value, its initialized reference value is as shown in table 1.

Described grade road traffic runs index and includes: trunk roads run Index A TPI (Arterial road Traffic Performance Index), secondary distributor road run index STPI (Secondary road Traffic Performance Index), branch road runs index LTPI (Local road Traffic Performance Index) and index is run in through street FTPI (Freeway Traffic Performance Index):

$ATPI=\underset{i=1}{\overset{I_A}{\&Sigma;}}{\mathrm{RTPI}}_i/I_A---\left(5\right)$

$STPI=\underset{i=1}{\overset{I_S}{\&Sigma;}}{\mathrm{RTPI}}_i/I_S---\left(6\right)$

$\begin{array}{c}LTPI=\underset{i=1}{\overset{I_L}{\&Sigma;}}{\mathrm{RTPI}}_i/I_L---\left(7\right)\\ FTPI=\underset{i=1}{\overset{I_F}{\&Sigma;}}{\mathrm{RTPI}}_i/I_F---\left(8\right)\end{array}$

Wherein, I_AFor total number of array radar vehicle detection equipment on trunk roads；I_SFor array radar vehicle on secondary distributor road Total number of detection equipment；I_LFor total number of array radar vehicle detection equipment on branch road；I_FFor array radar truck on through street Detection equipment total number；RTPI_iFor the traffic circulation index in i-th detection section on each grade road；

Calculate the traffic circulation index that road network is overall again:

NTPI=ATPI* ω₁+STPI*ω₂+LTPI*ω₃+FTPI*ω₄ (9)

Table 2 weighted value recommendation tables (working day)

	Through street	Trunk roads	Secondary distributor road	Branch road	Add up to
						Peak period	0.20	0.45	0.15	0.20	1.00
Other periods	0.22	0.43	0.17	0.18	1.00

Table 3 weighted value recommendation tables (festivals or holidays)

	Through street	Trunk roads	Secondary distributor road	Branch road	Add up to
						All the period of time	0.20	0.41	0.16	0.23	1.00

In formula (9), ω₁,ω₂,ω₃,ω₄Represent the weighted value of trunk roads, secondary distributor road, branch road and through street respectively, Weights initialisation value is as shown in table 2, table 3.

Table 4 road grid traffic runs index hierarchical table

Traffic circulation index	[0,2]	(2,4]	(4,6]	(6,8]	(8,10]
						State evaluation grade	The most unimpeded	Unimpeded	Jogging	Crowded	Block up

Run the traffic behavior grade of the size current road network of division of index NTPI according to road grid traffic according to table 4.

As in figure 2 it is shown, this device includes array radar vehicle equipment, its outfan and the input of data communications equipment End is connected, and the outfan of data communications equipment is connected with the input of background server, the outfan of background server and core The input of processing server is connected, and the outfan of core processing server is connected with the input of issue terminal equipment.

In sum, the present invention is sufficiently used traffic flow and car speed traffic parameter carries out integrated treatment, improves The accuracy of road section traffic volume event acquisition, runs index based on road grid traffic and realizes the traffic circulation state that city road network is overall Evaluate, reduce large area information gathering and carry out the cost of traffic circulation evaluation, improve accuracy and the friendship of system postitallation evaluation Siphunculus reason service level.

Claims (4)

1. urban road network traffic based on array radar runs an index number evaluation method, and the method includes the step of following order Rapid:

(1), under city road network road traffic environment, in the section that traffic flow is bigger, multiple array radar vehicle detection are installed and set Standby；

(2) the real-time traffic parameter information obtained is passed through data communications equipment real-time Transmission extremely by array radar vehicle equipment Background server is standardized storage, and real-time traffic parameter information is sent to core processing server by background server；

(3) core processing server extracts traffic flow and the vehicle speed data of each array radar vehicle equipment, in week Average traffic stream and the average speed data in each section is calculated on the basis of phase granularity, and according to average traffic stream and average speed Data calculate the average traffic current density in each section；

(4) traffic circulation that core processing server extracts each section of road network according to the average traffic current density in each section refers to Number, category of roads based on section to be measured, calculate grade road traffic and run index, then run index based on grade road traffic Polymerization analysis calculates the traffic circulation index that road network is overall, it is determined that the traffic circulation state grade of current road network；

(5) the traffic circulation state grade of road network is carried out information issue to the public by issue terminal equipment；

The computational methods of the average traffic current density that described core processing server calculates section to be measured are as follows:

The data form of array radar vehicle equipment real-time report is (t, n, q_i,v_i), t represents and calls time, and n represents institute In track, i represents that array radar vehicle equipment is numbered, q_iRepresent the traffic flow of i-th array radar vehicle equipment Data, v_iRepresent i-th array radar vehicle equipment flow speeds data, (t, n, q_i,v_i) unit be respectively the second, individual, / hour/track and thousand ms/h；

Assume that sample data set is represented by S={ (t, n, q₁,v₁),(t,n,q₂,v₂),...,(t,n,q_i,v_i), the place of sample Reason granularity period is T, and its unit is hour, section to be measured Spatial Dimension and time dimension in the time of statistical disposition granularity period T The average traffic stream of degree

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

In formula (1), n is track, place；N is total number in test point track；q_inFor i-th array radar vehicle equipment The traffic flow in the n-th track；Average traffic stream for the i-th array radar vehicle equipment unit particle size cycle；

The average speed of unit of account granularity period again:

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

In formula (2), n is track, place；N is total number in test point track；vⁱ _nSpeed for i-th test point the n-th track；Average speed for the i-th test point unit particle size cycle；

Section to be measured Spatial Dimension and the average traffic current density of time dimension in the time of statistical disposition granularity period T

$\stackrel{\&OverBar;}{k_i}=\frac{\stackrel{\&OverBar;}{q_i}}{\stackrel{\&OverBar;}{v_i}}---\left(3\right)$

In formula (3),For the average traffic current density of i-th test point unit particle size, its unit is/km/track.

Urban road network traffic based on array radar the most according to claim 1 runs index number evaluation method, and its feature exists In: the method for the traffic circulation index extracting each section of road network is as follows:

Build road section traffic volume and run index RTPI and average traffic current densityFunctional relationship model:

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

Table 1 traffic circulation exponential model parameter

In formula (4), the value of x, y, z, p, m is that road traffic congestion experiences parameters optimization, gives its parameter according to category of roads Value, its initialized reference value is as shown in table 1.

Urban road network traffic based on array radar the most according to claim 1 runs index number evaluation method, and its feature exists In: described grade road traffic runs index and includes: trunk roads run Index A TPI, secondary distributor road runs index STPI, branch road fortune Index FTPI is run in row index LTPI and through street；

$ATPI=\underset{i=1}{\overset{I_A}{\&Sigma;}}{\mathrm{RTPI}}_i/I_A---\left(5\right)$

$STPI=\underset{i=1}{\overset{I_S}{\&Sigma;}}{\mathrm{RTPI}}_i/I_S---\left(6\right)$

$LTPI=\underset{i=1}{\overset{I_L}{\&Sigma;}}{\mathrm{RTPI}}_i/I_L---\left(7\right)$

$FTPI=\underset{i=1}{\overset{I_F}{\&Sigma;}}{\mathrm{RTPI}}_i/I_F---\left(8\right)$

Wherein, I_AFor total number of array radar vehicle detection equipment on trunk roads；I_SDetect for array radar vehicle on secondary distributor road Total number of equipment；I_LFor total number of array radar vehicle detection equipment on branch road；I_FExamine for array radar vehicle on through street Total number of measurement equipment；RTPI_iFor the traffic circulation index in i-th detection section on each grade road；

Calculate the traffic circulation index that road network is overall again:

NTPI=ATPI* ω₁+STPI*ω₂+LTPI*ω₃+FTPI*ω₄ (9)

Table 2 weighted value recommendation tables--working day

Table 3 weighted value recommendation tables--festivals or holidays

In formula (9), ω₁,ω₂,ω₃,ω₄Represent the weighted value of trunk roads, secondary distributor road, branch road and through street, weight respectively Initialization value is as shown in table 2, table 3.

Urban road network traffic based on array radar the most according to claim 1 runs index number evaluation method, and its feature exists In:

Table 4 road grid traffic runs index hierarchical table

Run the traffic behavior grade of the size current road network of division of index NTPI according to road grid traffic according to table 4.