CN104484994A - Urban road network traffic operation index evaluation method and device based on array radar - Google Patents

Abstract

The invention relates to an urban road network traffic operation index evaluation method based on an array radar. The urban road network traffic operation index evaluation method based on the array radar comprises the following steps: installing array radar vehicle detecting equipment on a road section with relatively great traffic flow, and transmitting the obtained real-time traffic parameter information to a background server; extracting traffic flow and vehicle speed data through a core processing server, calculating the average traffic flow and the average speed data of each road section, calculating the average traffic flow density of each road section, extracting traffic operation indexes of each road section of the road network, calculating the classified highway traffic operation indexes, polymerizing and analyzing the integral traffic operation indexes of the road network, and judging the traffic operation state level of the existing road network; issuing information to the public through an issuing terminal. The invention further discloses an urban road network traffic operation index evaluation device based on the array radar. The accuracy of acquiring road section traffic events is increased, the large-area traffic information collecting cost is lowered, the system operation evaluation accuracy and the traffic management service level are improved.

Description

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

Technical field

The present invention relates to urban road network traffic postitallation evaluation technical field, especially a kind of urban road network traffic based on array radar runs index number evaluation method and device.

Background technology

Along with socioeconomic development, motor vehicle constantly increases, and the imbalance between supply and demand between existing road traffic resource and the volume of traffic is also increasing, and the traffic jam issue caused thus progressively becomes the great difficult problem affecting resident trip.For meeting the trip of people's safe and convenient, providing in time to the whole society, trip information service is accurately that traffic transport industry provides high-quality, variation, multi-level transportation service, the Important Action ensureing and improve People's livelihood.Road traffic operation conditions is the imbody of urban management level and comprehensive strength, and traffic circulation index is understood road operation conditions, formulation communications policy especially and provided the important evidence of traffic-information service to the public.By integrating multi-source data, founding mathematical models, calculate the operating speed in each section in road network and generate traffic behavior, again by the weight of blocking up of each road, by the congestion comprehensive integration of all for urban district roads be one " traffic circulation index ", can succinctly, digitized description road grid traffic operation conditions intuitively.

From achievement in research both domestic and external, the traffic circulation index forming traffic circulation appraisement system mainly comprises: travel time and delay, Assessment of Serviceability of Roads, average travel speed, road run index, congestion in road index etc.Array radar traffic information collection mode tool has many good points, adopt two-dimentional active matrix Radar Technology, can large regions large-scale road traffic infomation detection, accurately detect multiobject present position and instantaneous velocity, queue length can be detected, the multiclass traffic events such as to drive in the wrong direction, solve undetected or many inspections problem such as occlusion, parking, for traffic information collection brings more fully data and renewal, applies widely.The apparatus and method of city large area road grid traffic postitallation evaluation are not also carried out at present based on array radar checkout equipment.

Summary of the invention

Primary and foremost purpose of the present invention is to provide one can reduce traffic information collection cost, improve accuracy and the efficiency of road information collection, the urban road network traffic based on array radar realizing quick and precisely issue and the intellectual inducing of traffic circulation state within the scope of road network runs index number evaluation method.

For achieving the above object, present invention employs following technical scheme: a kind of urban road network traffic based on array radar runs index number evaluation method, and the method comprises the step of following order:

(1), under city road network road traffic environment, in the section that the magnitude of traffic flow is larger, multiple array radar vehicle equipment is installed;

(2) the real-time traffic parameter information of acquisition is carried out standardization storage by data communications equipment real-time Transmission to background server by array radar vehicle equipment, 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, cycle granularity basis calculates average traffic stream and the average speed data in each section, and calculates the average traffic current density in each section according to average traffic stream and average speed data;

(4) core processing server extracts the traffic circulation index in each section of road network according to the average traffic current density in each section, based on the category of roads in section to be measured, calculate grade road traffic and run index, run based on grade road traffic the traffic circulation index that index polymerization analysis calculates road network entirety again, judge the traffic circulation state grade of current road network;

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

The computing method that described core processing server calculates the average traffic current density in section to be measured are as follows:

The data layout of array radar vehicle equipment real-time report is (t, n, q _i, v _i), t represents and calls time, and n represents track, place, and i represents that array radar vehicle equipment is numbered, q _irepresent the traffic flow data of i-th array radar vehicle equipment, 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;

Suppose that sample data collection can be expressed as S={ (t, n, q ₁, v ₁), (t, n, q ₂, v ₂) ..., (t, n, q _i, v _i), the process granularity period of sample is T, and its unit is hour, the average traffic stream of section to be measured Spatial Dimension and time dimension in the time of statistical treatment granularity period T

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

In formula (1), n is track, place; N is total number in check point track; q _init is the traffic flow in i-th array radar vehicle equipment n-th track; be the average traffic stream in i-th array radar vehicle equipment unit particle size cycle;

The average velocity of unit of account granularity period again:

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

In formula (2), n is track, place; N is total number in check point track; v _inbe the speed in i-th check point n-th track; be the average velocity in i-th check point unit particle size cycle;

The average traffic current density of section to be measured Spatial Dimension and time dimension in the time of statistical treatment granularity period T

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

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

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

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

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

Table 1 traffic circulation exponential model parameter

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

Described grade road traffic runs index and comprises: trunk roads run Index A TPI, secondary distributor road runs index STPI, branch road runs index LTPI and index FTPI is run in through street;

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

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

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

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

Wherein, I _afor total number of array radar vehicle checkout equipment on trunk roads; I _sfor total number of array radar vehicle checkout equipment on secondary distributor road; I _lfor total number of array radar vehicle checkout equipment on branch road; I _ffor total number of array radar vehicle checkout equipment on through street; RTPI _ifor the traffic circulation index in i-th detection section on each grade road;

Calculate the traffic circulation index of road network entirety again:

NTPI＝ATPI*ω ₁+STPI*ω ₂+LTPI*ω ₃+FTPI*ω ₄(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), ω ₁, ω ₂, ω ₃, ω ₄represent 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	Very unimpeded	Unimpeded	Jogging	Crowded	Block up

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

Another object of the present invention is to provide a kind of urban road network traffic based on array radar to run index assessment device, comprise array radar vehicle equipment, its output terminal is connected with the input end of data communications equipment, the output terminal of data communications equipment is connected with the input end of background server, the output terminal of background server is connected with the input end of core processing server, and the output terminal of core processing server is connected with the input end of issue terminal equipment.

As shown from the above technical solution, the present invention utilizes the Real-time Traffic Information of the array radar vehicle equipment on all sections to be measured of city road network, first calculate the average traffic current density in each section, extract the traffic circulation index in each section of road network again, then calculate grade road traffic and run index, last polymerization analysis calculates the traffic circulation index of road network entirety, judges the traffic circulation state grade of current road network.The present invention make use of traffic flow fully and car speed traffic parameter carries out overall treatment, improve the accuracy of road section traffic volume event acquisition, the traffic circulation state evaluation that index realizes city road network entirety is run based on road grid traffic, reduce the cost that traffic circulation evaluation is carried out in large area information acquisition, improve accuracy and the traffic administration service level of system cloud gray model evaluation.

Accompanying drawing explanation

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

Fig. 2 is apparatus structure block diagram of the present invention.

Embodiment

Urban road network traffic based on array radar runs an index number evaluation method, comprising: under (1) city road network road traffic environment, installs multiple array radar vehicle equipment in the section that the magnitude of traffic flow is larger; (2) the real-time traffic parameter information of acquisition is carried out standardization storage by data communications equipment real-time Transmission to background server by array radar vehicle equipment, and background server filters the laggard column criterionization of cleaning store loss, abnormal data; 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, cycle granularity basis calculates average traffic stream and the average speed data in each section, and calculates the average traffic current density in each section according to average traffic stream and average speed data; (4) core processing server extracts the traffic circulation index in each section of road network according to the average traffic current density in each section, based on the category of roads in section to be measured, calculate grade road traffic and run index, the traffic circulation index that index polymerization analysis calculates road network entirety is run again based on grade road traffic, judge the traffic circulation state grade of current road network, traffic circulation state of the present invention has five ranks: very unimpeded, unimpeded, jogging, crowded and block up; (5) the traffic circulation state grade of road network is carried out Information issued to the public by issue terminal equipment, utilizes issue terminal equipment to carry out issue and discloses and traffic guidance, as shown in Figure 1.

As shown in Figure 1, under city road network road traffic environment, array radar vehicle equipment is installed in the section larger in the magnitude of traffic flow, obtains the real-time traffic parameter information of each array radar vehicle equipment of road network; The section of road network road being installed array radar vehicle equipment is more, the accuracy of traffic circulation index assessment is higher, but the increase of equipment can increase the expense of system, the number of concrete number of detectors will be determined according to the size of city road network annual average daily traffic.

The computing method that described core processing server calculates the average traffic current density in section to be measured are as follows:

The data layout of array radar vehicle equipment real-time report is (t, n, q _i, v _i), t represents and calls time, and n represents track, place, and i represents that array radar vehicle equipment is numbered, q _irepresent the traffic flow data of i-th array radar vehicle equipment, 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;

Suppose that sample data collection can be expressed as S={ (t, n, q ₁, v ₁), (t, n, q ₂, v ₂) ..., (t, n, q _i, v _i), the process granularity period of sample is T, and its unit is hour, the average traffic stream of section to be measured Spatial Dimension and time dimension in the time of statistical treatment granularity period T

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

In formula (1), n is track, place; N is total number in check point track, and described check point is the position of installing array radar vehicle equipment; q _init is the traffic flow in i-th array radar vehicle equipment n-th track; be the average traffic stream in i-th array radar vehicle equipment unit particle size cycle;

The average velocity of unit of account granularity period again:

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

In formula (2), n is track, place; N is total number in check point track, and described check point is the position of installing array radar vehicle equipment; v _inbe the speed in i-th check point n-th track; be the average velocity in i-th check point unit particle size cycle;

The average traffic current density of section to be measured Spatial Dimension and time dimension in the time of statistical treatment granularity period T

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

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

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

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

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

Table 1 traffic circulation exponential model parameter

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

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

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

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

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

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

Wherein, I _afor total number of array radar vehicle checkout equipment on trunk roads; I _sfor total number of array radar vehicle checkout equipment on secondary distributor road; I _lfor total number of array radar vehicle checkout equipment on branch road; I _ffor total number of array radar vehicle checkout equipment on through street; RTPI _ifor the traffic circulation index in i-th detection section on each grade road;

Calculate the traffic circulation index of road network entirety again:

NTPI＝ATPI*ω ₁+STPI*ω ₂+LTPI*ω ₃+FTPI*ω ₄(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), ω ₁, ω ₂, ω ₃, ω ₄represent 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	Very unimpeded	Unimpeded	Jogging	Crowded	Block up

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

As shown in Figure 2, this device comprises array radar vehicle equipment, its output terminal is connected with the input end of data communications equipment, the output terminal of data communications equipment is connected with the input end of background server, the output terminal of background server is connected with the input end of core processing server, and the output terminal of core processing server is connected with the input end of issue terminal equipment.

In sum, the present invention make use of traffic flow fully and car speed traffic parameter carries out overall treatment, improve the accuracy of road section traffic volume event acquisition, the traffic circulation state evaluation that index realizes city road network entirety is run based on road grid traffic, reduce the cost that traffic circulation evaluation is carried out in large area information acquisition, improve accuracy and the traffic administration service level of system cloud gray model evaluation.

Claims (6)

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

(1), under city road network road traffic environment, in the section that the magnitude of traffic flow is larger, multiple array radar vehicle equipment is installed;

(2) the real-time traffic parameter information of acquisition is carried out standardization storage by data communications equipment real-time Transmission to background server by array radar vehicle equipment, 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, cycle granularity basis calculates average traffic stream and the average speed data in each section, and calculates the average traffic current density in each section according to average traffic stream and average speed data;

(4) core processing server extracts the traffic circulation index in each section of road network according to the average traffic current density in each section, based on the category of roads in section to be measured, calculate grade road traffic and run index, run based on grade road traffic the traffic circulation index that index polymerization analysis calculates road network entirety again, judge the traffic circulation state grade of current road network;

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

2. the urban road network traffic based on array radar according to claim 1 runs index number evaluation method, it is characterized in that: the computing method that described core processing server calculates the average traffic current density in section to be measured are as follows:

The data layout of array radar vehicle equipment real-time report is (t, n, q _i, v _i), t represents and calls time, and n represents track, place, and i represents that array radar vehicle equipment is numbered, q _irepresent the traffic flow data of i-th array radar vehicle equipment, 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;

Suppose that sample data collection can be expressed as S={ (t, n, q ₁, v ₁), (t, n, q ₂, v ₂) ..., (t, n, q _i, v _i), the process granularity period of sample is T, and its unit is hour, the average traffic stream of section to be measured Spatial Dimension and time dimension in the time of statistical treatment granularity period T

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

In formula (1), n is track, place; N is total number in check point track; q _init is the traffic flow in i-th array radar vehicle equipment n-th track; be the average traffic stream in i-th array radar vehicle equipment unit particle size cycle;

The average velocity of unit of account granularity period again:

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

In formula (2), n is track, place; N is total number in check point track; v _inbe the speed in i-th check point n-th track; be the average velocity in i-th check point unit particle size cycle;

The average traffic current density of section to be measured Spatial Dimension and time dimension in the time of statistical treatment granularity period T

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

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

3. the urban road network traffic based on array radar according to claim 1 runs index number evaluation method, it is characterized in that: the method extracting the traffic circulation index in each section of road network is as follows:

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

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

Table 1 traffic circulation exponential model parameter

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

4. the urban road network traffic based on array radar according to claim 1 runs index number evaluation method, it is characterized in that: described grade road traffic runs index and comprises: trunk roads run Index A TPI, secondary distributor road runs index STPI, branch road runs index LTPI and index FTPI is run in through street;

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

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

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

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

Wherein, I _afor total number of array radar vehicle checkout equipment on trunk roads; I _sfor total number of array radar vehicle checkout equipment on secondary distributor road; I _lfor total number of array radar vehicle checkout equipment on branch road; I _ffor total number of array radar vehicle checkout equipment on through street; RTPI _ifor the traffic circulation index in i-th detection section on each grade road;

Calculate the traffic circulation index of road network entirety again:

NTPI＝ATPI*ω ₁+STPI*ω ₂+LTPI*ω ₃+FTPI*ω ₄(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), ω ¹, ω ², ω ³, ω ⁴represent 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.

5. the urban road network traffic based on array radar according to claim 1 runs index number evaluation method, it is characterized in that:

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 Very unimpeded Unimpeded Jogging Crowded Block up

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

6. the urban road network traffic based on array radar runs index assessment device, it is characterized in that: comprise array radar vehicle equipment, its output terminal is connected with the input end of data communications equipment, the output terminal of data communications equipment is connected with the input end of background server, the output terminal of background server is connected with the input end of core processing server, and the output terminal of core processing server is connected with the input end of issue terminal equipment.