CN101667339A - Modeling system and method based on measured traffic service level of urban road area - Google Patents

Abstract

The invention discloses modeling system and method based on measured traffic service level of an urban road area, which belongs to the technical field of the measurement and the identification of traffic service level of the urban road area. The method comprises the following steps: recording various traffic parameters measured on-site by a local traffic flow parameter recorder; forming an assessment result of a microscopic service level after an assessment processing; giving a microscopic calculation formula, a middle calculation formula, and a macroscopic calculation formula by an urban roadservice level index system set by an index modeling platform management; calculating a microscopic traffic condition, a middle traffic condition and a macroscopic traffic condition in the urban roadtraffic service level index calculation; and providing decision support information for traffic management. The modeling system and the method based on measured traffic service level of urban road area provide basis for directing urban road traffic management.

Description

Horizontal modeling of urban road area transport services and method based on actual measurement

Technical field

The invention belongs to the measurement and the identification technique field of urban road area transport services level, relate in particular to a kind of horizontal modeling of urban road area transport services and method based on actual measurement.

Background technology

Traditional traffic behavior evaluation is to attach most importance to micro-data collection and surveillance, and the microcosmic traffic state of concern as highway section, crossing etc., lacks dynamical state monitoring and service level evaluation for the regional traffic system.At present, traffic control system mainly adopts monitoring meanss such as coil or microwave, obtain parameters such as flow, speed and occupation rate, but its deficiency is that monitoring variable is single, covering scope is little, only relates to microcosmos area, has ignored the regional traffic state on middle sight and macroscopic aspect, often cause mechanism and process understanding that the traffic congestion of some microcosmos area is taken place unclear, influence determining and enforcement of transportation system management control measure.In addition, between the urban inner regional traffic system interaction, closely-coupled integral body, coordinated operation is stablized extremely important to macrosystem, when research traffic system harmony problem, must take all factors into consideration influencing each other of urban traffic area, just will estimate the service level of urban road.By analysis, form the qualitative description and the quantitative test of the service level situation of estimating a urban highway traffic to the regional traffic service level modeling.Go to measure the service level situation of a urban highway traffic by this measurement, and then answer these hot issues: how is the road traffic service level current situation and development situation in this city? how is the transport services level of each administrative region in the city? where is the residing position of transport services level that compares this city with other cities both at home and abroad? thereby for traffic administration provides foundation in the road traffic service level decision-making in enhancing or lifting city, this is the purpose and the meaning of carrying out the urban highway traffic service level evaluation.Consider the Dynamic Coupling of city area-traffic state, the dynamic parameter of comprehensive monitoring regional traffic state makes up the regional traffic service level evaluation system, does not also have relevant research both at home and abroad; And the Large scale construction of modern urban road infrastructure, the angles of science monitoring of regional traffic state and the influence of estimating traffic administration strengthen day by day.Therefore, setting up the urban highway traffic regional service level evaluation method that gears to actual circumstances is of great practical significance.

Summary of the invention

The object of the present invention is to provide a kind of horizontal modeling of urban road area transport services and method based on actual measurement, by collection and analysis to the urban road traffic flow data, obtain the dynamic performance model of urban highway traffic service level, provide foundation for instructing urban traffic management and control.

Technical scheme of the present invention is, a kind of horizontal modeling of urban road area transport services based on actual measurement, it is characterized in that described system comprises: local traffic flow parameter registering instrument, aggregation of data shared platform, index Modeling Platform, four modules of index software for calculation system;

Described local traffic flow parameter registering instrument comprises touch display screen, industrial control host and data acquisition device; Wherein, data acquisition device inside comprises data aggregation plate, communication disposable plates, system management unit, gps time plate; Touch display screen is used to set start-up time, shows real-time measuring data;

Described aggregation of data shared platform realizes passing in the network file management of the various traffic flow parameters of coming and the demonstration of real time data;

The regional traffic service level evaluation result of microcosmic, middle sight and macroscopic view is calculated according to the computing formula of the micro, meso and macro in the urban highway traffic service level index system by described index software for calculation system;

Described index Modeling Platform provides the information for supporting some decision of traffic administration according to the evaluation result of regional traffic service level.

A kind of horizontal modeling method of urban road area transport services based on actual measurement is characterized in that described method is:

The various traffic parameter collectors that local traffic flow parameter registering instrument will be distributed in on-the-spot diverse location are connected to local machine, note on-the-spot measured various traffic parameters;

Local traffic flow parameter registering instrument is handled the evaluation result that the back forms the microcosmic service level through estimating; Be connected to the aggregation of data shared platform by the network data line again, concentrate the microcosmic evaluation result of each local traffic flow parameter registering instrument;

The Assessment of Service Level for Urban Roads index system of index Modeling Platform management configuration provides the computing formula of microcosmic index, middle sight index and macro-indicators;

During urban highway traffic service level index is calculated, calculate the traffic behavior of micro, meso and macro reflection, the information for supporting some decision of traffic administration is provided.

Described microcosmic index comprises: microcosmic traffic situation, speed, microcosmic traffic speed situation, flow, microcosmic traffic flow situation, flow rate, microcosmic traffic flow rate situation, density, microcosmic traffic density situation, time occupancy, space occupancy, mean delay.

Seeing index in described comprises: the unimpeded rate of road network, the unimpeded rate in average highway section, road network block up rate, average road network block up rate, space degree of loading, mean space degree of loading, space load margin, mean space load margin, space degree of loading rate of change, mean space degree of loading rate of change.

Described macro-indicators comprises: the unimpeded rate of regional road network, the average unimpeded rate of regional road network, regional road network block up rate, regional road network on average block up rate, regional road network space degree of loading, regional road network mean space degree of loading, regional road network space load margin, regional road network mean space load margin, regional road network space degree of loading rate of change, regional road network mean space degree of loading rate of change.

Effect of the present invention is that horizontal modeling of urban road area transport services and method based on actual measurement that the present invention proposes provide foundation for instructing urban traffic management and control.

Description of drawings

Fig. 1 is the horizontal modeling structural drawing of urban road area transport services that the present invention is based on actual measurement;

Fig. 2 is the horizontal model implementation process of the urban road area transport services figure that the present invention is based on actual measurement.

Embodiment

Below in conjunction with accompanying drawing, preferred embodiment is elaborated.Should be emphasized that following explanation only is exemplary, rather than in order to limit the scope of the invention and to use.

Fig. 1 is the horizontal modeling structural drawing of urban road area transport services that the present invention is based on actual measurement.Among Fig. 1, the horizontal modeling of urban road area transport services based on actual measurement that the present invention proposes comprises: local traffic flow parameter registering instrument, aggregation of data shared platform, index Modeling Platform, four modules of index software for calculation system.

Local traffic flow parameter registering instrument comprises touch display screen, industrial control host and data acquisition device; Wherein, data acquisition device inside comprises data aggregation plate, communication disposable plates, system management unit, gps time plate; Touch display screen is used to set start-up time, shows real-time measuring data;

The aggregation of data shared platform realizes passing in the network file management of the various traffic flow parameters of coming and the demonstration of real time data.

The regional traffic service level evaluation result of microcosmic, middle sight and macroscopic view is calculated according to the computing formula of the micro, meso and macro in the urban highway traffic service level index system by index software for calculation system.

The index Modeling Platform provides the information for supporting some decision of traffic administration according to the evaluation result of regional traffic service level.

The horizontal modeling method of urban road area transport services that the present invention proposes based on actual measurement:

The various traffic parameter collectors that local traffic flow parameter registering instrument will be distributed in on-the-spot diverse location are connected to local machine, note on-the-spot measured various traffic parameters; Local traffic flow parameter registering instrument is handled the evaluation result that the back forms the microcosmic service level through estimating; Be connected to the aggregation of data shared platform by the network data line again, concentrate the microcosmic evaluation result of each local traffic flow parameter registering instrument; The Assessment of Service Level for Urban Roads index system of index Modeling Platform management configuration provides the computing formula of microcosmic index, middle sight index and macro-indicators; During urban highway traffic service level index is calculated, calculate the traffic behavior of micro, meso and macro reflection, the information for supporting some decision of traffic administration is provided.

Fig. 2 is the horizontal model implementation process of the urban road area transport services figure that the present invention is based on actual measurement.Among Fig. 2, after having determined evaluation region, obtain traffic parameter according to zone traffic flow parameter registering instrument, and the evaluation result of formation microcosmic service level, then utilize the computing formula that provides microcosmic index, middle sight index and macro-indicators based on the horizontal model of urban road area transport services of actual measurement; Calculate the micro, meso and macro index, carry out the preservation of traffic behavior prediction, the displaying of index result of calculation and evaluation result at last.Above-mentioned microcosmic index, middle sight index and macro-indicators, specifically:

(1) the microcosmic index comprises:

(101) microcosmic traffic situation

Microcosmic traffic situation is meant, the variable quantity of each microcosmic index in the unit interval of traffic flow modes.This index is to weigh the important indicator of microcosmic point traffic behavior unit interval variation tendency.Its practical significance is that vehicle supervision department can pass through the traffic situation index, before traffic congestion takes place, makes judgement, and in time takes the traffic measure, avoids the generation of seriously blocking up.

Computing formula is: $\mathrm{\Δi}=\frac{i(t+\mathrm{\Δt})-i\left(t\right)}{\mathrm{\Δt}};$

Wherein, Δ i is a microcosmic traffic situation, and i (t) is in the microcosmic index amount of t certain section of the moment or certain segment distance.

(102) speed

Speed is meant, in the special time, and the mean value of all car speeds by a certain check point.Represent unit with the distance that the unit interval passes through: km/h or m/s.Speed is to be used for estimating the microcosmic traffic state, weighs the important indicator of the degree of mobility of road, also is the efficiency index of reflection traffic administration work effect.

Computing formula is: $s=\frac{\underset{i=1}{\overset{n}{\mathrm{\Σ}}}\frac{\mathrm{\Δx}}{\mathrm{\Δ}{t}_i}}{n};$

Wherein, S representation speed; Δ x represents distance; Δ t _iRepresent i car by the used time of this distance.

(103) microcosmic traffic speed situation

Microcosmic traffic speed situation is meant, the variable quantity of speed in the unit interval.This index is the variation speed of description speed, is used for the variation tendency of evaluation path traffic behavior, is the efficiency index of weighing the traffic administration work effect.

Computing formula is: $\mathrm{\ΔS}=\frac{S(t+\mathrm{\Δt})-S\left(t\right)}{\mathrm{\Δt}};$

Wherein, Δ S represents microcosmic traffic speed situation; S (t) represents the speed of t moment track or road point.When Δ S＜0, speed is the variation tendency that reduces, and numerical value is more little, and the variation tendency that reduces is strong more; When Δ S＞0, speed is the variation tendency of increase, and numerical value is big more, and the variation tendency of increase is obvious more.Δ S=0 speed tends towards stability.

(104) flow

Flow is meant, in the certain hour, and by the vehicle number of a certain section of road, unit :/h.Flow claims the volume of traffic again, is the fundamental quantity of describing road traffic state, the degree of crowding of reflection road traffic.

Computing formula is: v=n;

Wherein, v represents flow; N represents the vehicle number that passes through in the certain hour.

(105) microcosmic traffic flow situation

Microcosmic traffic flow situation is meant, the variable quantity of flow in the unit interval, and unit :/h.This index is described the variation speed of the magnitude of traffic flow, can be used for predicting the variation tendency of transport services level.

Computing formula: $\mathrm{\Δv}=\frac{v(t+\mathrm{\Δt})-v\left(t\right)}{\mathrm{\Δt}};$

Wherein, Δ v represents microcosmic traffic flow situation; V (t) representative is at the flow of t moment track or road point.When Δ v＜0, flow is the variation tendency that reduces, and numerical value is more little, and the variation tendency that reduces is strong more; When Δ v＞0, flow is the variation tendency of increase, and numerical value is big more, and the variation tendency of increase is obvious more.Δ v=0 flow tends towards stability.

(106) flow rate

Flow rate is meant, by the equivalent hour vehicle number of a certain track or a certain section of road, and unit :/h.This index can be used for describing road and submit through-flow state, can be used for the degree of saturation of evaluation path traffic flow, can directly reflect the load condition of road, is the important references of traffic administration.

Computing formula is: $f=\frac{v}{t};$

Wherein, f represents flow rate; V represents flow; T representative hour.

(107) microcosmic traffic flow rate situation

Microcosmic traffic flow rate situation is meant, the variable quantity of flow rate in the unit interval.This index is to describe the speed that traffic flow rate changes, and can be used for predicting the variation tendency of traffic flow rate.

Computing formula is: $\mathrm{\Δf}=\frac{f(t+\mathrm{\Δt})-f\left(t\right)}{\mathrm{\Δt}};$

Δ f represents microcosmic traffic flow rate situation; F (t) represents the flow rate of t moment track or road point.When Δ f＜0, flow rate is the variation tendency that reduces, and numerical value is more little, and the variation tendency that reduces is strong more; When Δ f＞0, flow rate is the variation tendency of increase, and numerical value is big more, and the variation tendency of increase is obvious more.Δ f=0 flow rate tends towards stability.

(108) density

Density is meant, on the track of unit length, and the vehicle number in a certain moment, unit :/(km track).Density is to describe the index of the road degree of crowding, and the spatial distribution state of reflection vehicle on road is a kind of tolerance of road load degree.

Computing formula: $d=\frac{f}{s}=\frac{v}{s\×t};$

Wherein, d represents density; F represents flow rate; V represents flow; T representative hour; The s representation speed.

(109) microcosmic traffic density situation

Microcosmic traffic density situation is meant, the variable quantity of density in the unit interval.Unit :/(km track h).This index is described the variation speed of traffic flow density, can be used for predicting the variation tendency of traffic flow density.

Computing formula is: $\mathrm{\Δd}=\frac{d(t+\mathrm{\Δt})-d\left(t\right)}{\mathrm{\Δt}};$

Wherein, Δ d is a microcosmic traffic density situation; D (t) is the density at t moment track or road point.When Δ d＜0, density is the variation tendency that reduces, and numerical value is more little, and the variation tendency that reduces is strong more; When Δ d＞0, density is the variation tendency of increase, and numerical value is big more, and the variation tendency of increase is obvious more.Δ d=0 density tends towards stability.

(110) time occupancy

Time occupancy is meant on the measuring frequency section of road, the time accumulated value of vehicle passing detection device and the ratio of observation time are arranged.This index is used for describing the time scale that vehicle takies road section, represents with number percent usually, as an index that is easy to detect, through being commonly used to calculate other traffic indicators such as traffic density.

Computing formula is: $R_t=\frac{\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{t}_i}{T}\×100\%;$

Wherein, R _tRepresent time occupancy; t _iRepresent i car by the used time of detecting device; T represents observation time; N representative is the vehicle number by detecting device in observation time.

(111) space occupancy

Space occupancy is meant, is observing on the highway section ratio of all vehicle length sums and highway section total length.This index is described the degree of crowding in highway section, represents with number percent usually, directly reflects the load condition in highway section.

Computing formula is: $R_s=\frac{1}{L}\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{l}_i\×100\%;$

Wherein, R _sBe space occupancy; l _iLength for i car in the observation highway section; L is the total length in observation highway section; N is the vehicle number in this highway section.

(112) mean delay.

Mean delay is meant, because the prolongation of caused by factors such as road and environmental baseline, traffic interference and traffic administration and control hourage, unit: s/.This index is described the complexity of vehicle by the crossing, directly reflects the congestion state of crossing, can be used as the important reference of estimating the crossing service level.

Computing formula is: $\mathrm{delay}=\frac{0.5C{(1-\frac{g}{C})}^2}{1-\left[\min (1,X)\frac{g}{C}\right]}$

Wherein, delay is that evenly control is incured loss through delay; C is that the signal period is long; G is the effective green time of signal period; X is the value of v/c.

(2) seeing index in is foundation with highway section, crossing detecting device acquisition traffic state data, calculates the transport services level of reflection traffic zone by the microcosmic index comprehensive.Comprise:

(201) the unimpeded rate of road network

The unimpeded rate of road network is meant that in the appointed area, highway section service level of a certain moment is in the ratio of highway section quantity and all highway section quantity that this zone road network is comprised of unimpeded grade.This index has been described the degree of mobility of regional road network road, is a tolerance of this regional traffic overall state, and its variation can be used to estimate the traffic administration effect.

Computing formula is: $R_f\left(T^o\right)=\frac{\mathrm{\Σ}{p}_i\left(\mathrm{\β}\right)}{N},$ $p_i\left(\mathrm{\β}\right)=\left\{\begin{array}{c}0,\mathrm{LOS}\left(\mathrm{\β}\right)\∈\{E,F\}\\ 1,\mathrm{LOS}\left(\mathrm{\β}\right)\∈\{A,B,C,D\}\end{array}\right.;$

Wherein, T ^oBe T ^oVolume of traffic detected value is constantly represented by the detected value of the unit detection period of its representative; R _f(T ^o) be T ^oThe unimpeded rate of moment road network; β is any metric of reflection road section traffic volume situation; LOS (β) is the highway section service level grade by the β decision; p _iBe the i bar highway section that service level is in LOS (β) level in the appointed area (β), from the microcosmic evaluation result; N is by being comprised the highway section sum in the appointed area.

(202) the unimpeded rate in average highway section

On average the unimpeded rate in highway section is meant, in the appointed area, and the time average of the unimpeded rate of a certain period road network.This index has been described the average degree of mobility of section inner region road network road sometime, is a tolerance of a certain period traffic in this zone overall state, can be used to estimate the traffic administration effect.

Computing formula is: $R_{f-\mathrm{average}}\left(T\right)=\frac{\underset{i}{\mathrm{\Σ}}{R}_f\left(T_i^o\right)}{N_T}$

Wherein, T is the observation time interval,

R _F-average(T) be the average unimpeded rate of road network; R _f(T _i ^o) be T _i ^oThe unimpeded rate of moment road network; N _TBy being wrapped T in the T time interval ^oThe unit of representative detects the number of period.

(203) the road network rate of blocking up

The road network rate of blocking up is meant, in the appointed area, a certain moment service level grade is in the ratio of the quantity in all highway sections that the highway section quantity of blocking up and regional road network comprised.This index has been described the degree of blocking up of regional road network, is a tolerance of regional traffic overall state, can be used to estimate the traffic administration effect.

Computing formula is: $C_f\left(T^o\right)=\frac{\mathrm{\Σ}{p}_i\left(\mathrm{\β}\right)}{N},$ $p_i\left(\mathrm{\β}\right)=\left\{\begin{array}{c}0,\mathrm{LOS}\left(\mathrm{\β}\right)\∈\{E,F\}\\ 1,\mathrm{LOS}\left(\mathrm{\β}\right)\∈\{A,B,C,D\}\end{array}\right.,$

C _f(T ^o)＝1-R _f(T ^o)；

Wherein, C _f(T ^o) be T ^oThe road network rate of blocking up constantly; p _iBe the i bar highway section that service level is in LOS (β) level in the appointed area (β), from the microcosmic evaluation result; N is by being comprised the highway section sum in the appointed area; R _f(T ^o)-T ^oThe unimpeded rate of moment road network.

(204) the average road network rate of blocking up

The average road network rate of blocking up is meant, in the appointed area, and the block up time average of rate of a certain period road network.This index has been described the degree of on average blocking up of section inner region road network road sometime, is a tolerance of a certain period traffic in this zone overall state, for the enforcement of traffic management measure provides foundation.

Computing formula is: $C_{f-\mathrm{average}}\left(T\right)=\frac{\underset{i}{\mathrm{\Σ}}{C}_f\left(T_i^o\right)}{N_T}$

Wherein, T is the observation time interval,

C _F-averagr(T) be the average unimpeded rate of road network; C _f(T _i ^o) be T _i ^oThe road network rate of blocking up constantly; N _TBy being comprised T in the T time interval ^oThe unit of representative detects the number of period.

(205) space degree of loading

The space degree of loading is meant that a certain moment road network is by the volume of traffic of space distribution and the ratio of traffic capacity.This index has been described the usage degree of road whole capability, has reflected path resource utilization factor spatially, and this index can provide foundation for traffic dispersion.

Computing formula is: $g\left(T^o\right)=\frac{\underset{i\∈\mathrm{\Ω}}{\mathrm{\Σ}}{V}_i\left(T^o\right)}{\underset{i\∈\mathrm{\Ω}}{\mathrm{\Σ}}{C}_i}$

Wherein, the numbering that comprises the highway section in the i-survey region; Comprise the numbering set in highway section in Ω-survey region; G (T ^o)-T is the space degree of loading constantly; V _i(T ^o)-survey region comprises the actual traffic amount of highway section i; C _i-survey region comprises the practical traffic capacity of highway section i.

(206) mean space degree of loading

The mean space degree of loading is meant, in the appointed area, and the time average of road network space degree of loading of a certain period.This index has been described the usage degree of the interior road whole capability of section sometime, has reflected path resource average utilization spatially, and this index can provide foundation for traffic dispersion.

Computing formula is: $g_{\mathrm{average}}\left(T\right)=\frac{\underset{t}{\mathrm{\Σ}}g\left(T_i^o\right)}{N_T}$

Wherein, T is the observation time interval,

g _Average(T) be the mean space degree of loading; G (T _i ^o) be T _iMoment space degree of loading; N _TBy being comprised T in the T time interval ^oThe unit of representative detects the number of period.

(207) space load margin

The space load margin is meant, a certain moment, the remaining volume of traffic and the road network max cap. of carrying of road network.This index has been described path resource surplus ratio spatially, has reflected the proportion of available resources on the path space, can be used as traffic organization and the reference frame of inducing.

Computing formula is: S _g(T)=1-g (T)

Wherein, S _g(T) be the space load margin; G (T) detects period space degree of loading for T.

(208) mean space load margin

The mean space load margin is meant, in the appointed area, and the time average of road network space load margin in a certain period.This index is a path resource average residual rate spatially in a certain period, has reflected the proportion of available resources on the path space, can be used as traffic organization and the reference frame of inducing.

Computing formula is: S _g ^Average=1-g _Average

Wherein, S _g ^Average-space load margin; g _Average-mean space degree of loading.

(209) space degree of loading rate of change

Space degree of loading rate of change is meant, the variation of appointed area unit interval space degree of loading.This index is described the speed that the space degree of loading changes, and can be used for predicting the variation tendency of space degree of loading, can be used as the reference frame of implementing traffic management measure.

Computing formula is: $R_{s_g}\left(T_i^0\right)=(g\left(T_i^0\right)-g\left(T_{i-1}^0\right))/T^0;$

Wherein,

Be space degree of loading rate of change; G (T _i ^o) be T _iMoment space degree of loading; T ^oBe T ^oConstantly, the volume of traffic detected value in this moment is represented by the detected value of the unit detection period of its representative.

(210) mean space degree of loading rate of change.

Mean space degree of loading rate of change is meant, specifies road network, and the space degree of loading in a certain period is the time average of variable quantity in time.This index has been described the speed that the space degree of loading changes in certain time period, can be used for predicting the overall variation tendency of space degree of loading, can be used as the reference frame of implementing traffic management measure.

Computing formula is: $R_{s_r-\mathrm{average}}\left(T\right)=\frac{\underset{i}{\mathrm{\Σ}}{R}_{s_r}\left(T_i^o\right)}{N_T}$

Wherein,

Be mean space degree of loading rate of change;

Be space degree of loading rate of change; N _TBy being comprised T in the T time interval ^oThe unit of representative detects the number of period.

(3) macro-indicators be with microstructure layer, middle sight layer as the basis, through in see a plurality of region units of level traffic behavior pays close attention to regional greatly comprehensive traffic service level evaluation result by entire city or the institute that fusion method obtains.Comprise:

(301) the unimpeded rate of regional road network

Road network unimpeded rate in zone is meant that a certain moment service level is in the ratio of the region quantity that region quantity and road network comprised of unimpeded grade on the macroscopic aspect.This index has been described the degree of mobility of macroscopical regional road network road, is a tolerance of this macroscopic view regional traffic overall state, and its variation can be used to estimate the effect of traffic administration on a large scale.

Computing formula is: $R_{f-\mathrm{region}}\left(T^o\right)=\frac{\underset{i\∈\mathrm{\Ω}}{\mathrm{\Σ}}{\mathrm{\α}}_i{R}_i\left(\mathrm{\β}\right)}{\underset{i\∈\mathrm{\Ω}}{\mathrm{\Σ}}{\mathrm{\α}}_i},$ $R_i\left(\mathrm{\β}\right)=\left\{\begin{array}{c}0,\mathrm{LOS}\left(\mathrm{\β}\right)\∈\{E,F\}\\ 1,\mathrm{LOS}\left(\mathrm{\β}\right)\∈\{A,B,C,D\}\end{array}\right.$

Wherein, R _F-region(T ^o) be the unimpeded rate of regional road network; β is for seeing any metric of regional traffic situation in the reflection; LOS (β) is the horizontal grade of middle sight regional service by the β decision; R _iBe i the zone that service level is in LOS (β) level in the appointed area (β), from middle sight evaluation result; α _iBe the weights of the regional i of middle sight, be used to calculate macroscopical regional degree of loading.

(302) the average unimpeded rate of regional road network

Zone road network average unimpeded rate is meant, in the appointed area, and the time average of the unimpeded rate of a certain period zone road network.This index has been described the average degree of mobility of the interior macroscopical regional road network road of section sometime, is a tolerance of the regional a certain period traffic overall state of macroscopic view, can be used to estimate the effect of traffic administration on a large scale.

Computing formula is: $R_{f-\mathrm{region}}^{\mathrm{average}}\left(T\right)=\frac{\underset{i}{\mathrm{\Σ}}{R}_{f-\mathrm{region}}\left(T_i^o\right)}{N_T}$

Wherein, R _F-region ^Average(T) be the average unimpeded rate of regional road network; R _F-region(T ^o) be the unimpeded rate of regional road network; T is the time; N _TBy being wrapped T in the T time interval ^oThe unit of representative detects the number of period.

(303) the regional road network rate of blocking up

The zone road network rate of blocking up is meant that in the appointed area, a certain moment service level is in the ratio of the quantity of the All Ranges that region quantity and regional road network comprised that blocks up.This index has been described the degree of blocking up of macroscopical regional road network, is a tolerance of macroscopical regional traffic overall state, can be used to estimate the effect of traffic administration on a large scale.

Computing formula is: $C_{f-\mathrm{region}}\left(T^o\right)=\frac{\underset{i\∈\mathrm{\Ω}}{\mathrm{\Σ}}{\mathrm{\α}}_i{R}_i\left(\mathrm{\β}\right)}{\underset{i\∈\mathrm{\Ω}}{\mathrm{\Σ}}{\mathrm{\α}}_i},$ C _f-region(T ^o)＝1-R _f-region(T ^o)

$R_i\left(\mathrm{\β}\right)=\left\{\begin{array}{c}0,\mathrm{LOS}\left(\mathrm{\β}\right)\∈\{E,F\}\\ 1,\mathrm{LOS}\left(\mathrm{\β}\right)\∈\{A,B,C,D\}\end{array}\right.$

Wherein, C _F-region(T ^o) be the regional road network rate of blocking up; β is for seeing any metric of regional traffic situation in the reflection; LOS (β) is the horizontal grade of middle sight regional service by the β decision; R _iBe i the zone that service level is in LOS (β) level in the appointed area (β), from middle sight evaluation result; α _iBe the weights of the regional i of middle sight, be used to calculate macroscopical regional degree of loading.

(304) the regional road network rate of on average blocking up

The zone road network on average rate of blocking up is meant, in the appointed area, and the block up time average of rate of a certain period, regional road network.This index has been described the degree of on average blocking up of macroscopical regional road network road in the section sometime, is tolerance of the regional a certain period traffic overall state of macroscopic view, for the enforcement of traffic management measure provides foundation.

Computing formula is: $C_{f-\mathrm{region}}^{\mathrm{average}}\left(T\right)=\frac{\underset{i}{\mathrm{\Σ}}{C}_{f-\mathrm{region}}\left(T_i^o\right)}{N_T}$

Wherein, C _F-region ^Averagen(T) be the average unimpeded rate of regional road network; C _F-region(T ^o) be the regional road network rate of blocking up; T is the time period; N _TBy being wrapped T in the T time interval ^oThe unit of representative detects the number of period.

(305) regional road network space degree of loading

Road network space, zone degree of loading is meant, refers to that zone road network of a certain moment is by the volume of traffic of space distribution and the regional road network capacity ratio by space distribution.This index has been described the usage degree of macroscopical road road network whole capability, has reflected macroscopic road network path resource utilization factor spatially, and this index can provide foundation for traffic dispersion on a large scale.

Computing formula is: $\mathrm{gr}\left(T^o\right)=\frac{\underset{i\∈\mathrm{\Ω}}{\mathrm{\Σ}}{\mathrm{\α}}_i{g}_i\left(T^o\right)}{\underset{i\∈\mathrm{\Ω}}{\mathrm{\Σ}}{\mathrm{\α}}_i}$

Wherein, i is for seeing the numbering in zone in comprising in the macroscopical zone of research; Ω is for seeing the numbering set in zone in comprising in the macroscopical zone of research; Gr (T ^o) be T regional road network space degree of loading constantly; g _i(T ^o) be the space degree of loading of the T period of the regional i of middle sight; α _iBe the weights of the regional i of middle sight, be used to calculate macroscopical regional degree of loading.

(306) regional road network mean space degree of loading

Zone road network mean space degree of loading is meant, in the appointed area, and the time average of road network space, zone of a certain period degree of loading.This index has been described the usage degree of macroscopic road network road whole capability in the section sometime, has reflected macroscopic road network path resource average utilization spatially, and this index can provide foundation for traffic dispersion on a large scale.

Computing formula is: ${\mathrm{gr}}_{\mathrm{average}}\left(T\right)=\frac{\underset{i}{\mathrm{\Σ}}\mathrm{gr}\left(T_i^o\right)}{N_T}$

Wherein, g _Raverage(T) be zone leveling space degree of loading; Gr (T ^o) be T regional space degree of loading constantly; T is the time period; N _TBy being wrapped T in the T time interval ^oThe unit of representative detects the number of period.

(307) regional road network space load margin

Road network space, zone load margin is meant a certain moment, the remaining volume of traffic and the road network max cap. of carrying of macroscopical regional road network.This index has been described macroscopic road network path resource surplus ratio spatially, has reflected the proportion of available resources on the macroscopic road network path space, can be used as traffic organization and the reference frame of inducing.

Computing formula is: Sr _g(T ^o)=1-gr (T ^o)

Wherein, Sr _g(T ^o)-regional road network space load margin; Gr (T ^o)-T is the regional space degree of loading constantly.

(308) regional road network mean space load margin

Zone road network mean space load margin is meant, appointed area, the time average of road network space load margin in a certain period.This index is a macroscopic road network path resource average residual rate spatially in a certain period, has reflected the proportion of available resources on the macroscopic road network path space, can be used as traffic organization on a large scale and the reference frame of inducing.

Computing formula is: ${\mathrm{Sr}}_g^{\mathrm{average}}=1-{\mathrm{gr}}_g^{\mathrm{average}}$

Wherein, Sr _g ^Average-zone leveling road network space load margin; Gr _Average-zone leveling space degree of loading.

(309) regional road network space degree of loading rate of change

Road network space, zone degree of loading rate of change is meant the variation of regional space degree of loading in the unit interval.This index is described the speed that macroscopic road network space degree of loading changes, and can be used for predicting the variation tendency of macroscopic road network space degree of loading, can be used as the reference frame of implementing traffic management measure.

Computing formula is: $R_{S_r}\left(T^0\right)=\mathrm{gr}\left(T_{i+1}^0\right)-\mathrm{gr}\left(T_i^0\right);$

Wherein, -regional space degree of loading rate of change; Gr (T _i ^o)-T _iMoment regional space degree of loading.

(310) regional road network mean space degree of loading rate of change.

Zone road network mean space degree of loading rate of change is meant, in a certain period, and the time average of the rate of change of regional space degree of loading.This index has been described the speed that macroscopic road network space degree of loading changes in certain time period, can be used for predicting the overall variation tendency of macroscopic road network space degree of loading, can be used as the reference frame of implementing traffic management measure.

Computing formula is: $R_{s_g-\mathrm{average}}\left(T\right)=\frac{\underset{i}{\mathrm{\Σ}}{R}_{s_g}\left(T_i^o\right)}{N_T}$

Wherein,

Be mean space degree of loading rate of change;

Be space degree of loading rate of change; T is the time period; N _TBy being wrapped T in the T time interval ^oThe unit of representative detects the number of period.

Horizontal modeling of urban road area transport services and method based on actual measurement that the present invention proposes provide foundation for instructing urban traffic management and control.

The above; only for the preferable embodiment of the present invention, but protection scope of the present invention is not limited thereto, and anyly is familiar with those skilled in the art in the technical scope that the present invention discloses; the variation that can expect easily or replacement all should be encompassed within protection scope of the present invention.Therefore, protection scope of the present invention should be as the criterion with the protection domain of claim.

Claims (5)

1. the horizontal modeling of urban road area transport services based on actual measurement is characterized in that described system comprises: local traffic flow parameter registering instrument, aggregation of data shared platform, index Modeling Platform, four modules of index software for calculation system;

Described local traffic flow parameter registering instrument comprises touch display screen, industrial control host and data acquisition device; Wherein, data acquisition device inside comprises data aggregation plate, communication disposable plates, system management unit, gps time plate; Touch display screen is used to set start-up time, shows real-time measuring data;

Described aggregation of data shared platform realizes passing in the network file management of the various traffic flow parameters of coming and the demonstration of real time data;

The regional traffic service level evaluation result of microcosmic, middle sight and macroscopic view is calculated according to the computing formula of the micro, meso and macro in the urban highway traffic service level index system by described index software for calculation system;

Described index Modeling Platform provides the information for supporting some decision of traffic administration according to the evaluation result of regional traffic service level.

One kind based on the actual measurement the horizontal modeling method of urban road area transport services, it is characterized in that described method is:

The various traffic parameter collectors that local traffic flow parameter registering instrument will be distributed in on-the-spot diverse location are connected to local machine, note on-the-spot measured various traffic parameters;

Local traffic flow parameter registering instrument is handled the evaluation result that the back forms the microcosmic service level through estimating; Be connected to the aggregation of data shared platform by the network data line again, concentrate the microcosmic evaluation result of each local traffic flow parameter registering instrument;

The Assessment of Service Level for Urban Roads index system of index Modeling Platform management configuration provides the computing formula of microcosmic index, middle sight index and macro-indicators;

During urban highway traffic service level index is calculated, calculate the traffic behavior of micro, meso and macro reflection, the information for supporting some decision of traffic administration is provided.

3. a kind of horizontal modeling method of urban road area transport services based on actual measurement according to claim 2 is characterized in that described microcosmic index comprises: microcosmic traffic situation, speed, microcosmic traffic speed situation, flow, microcosmic traffic flow situation, flow rate, microcosmic traffic flow rate situation, density, microcosmic traffic density situation, time occupancy, space occupancy, mean delay.

4. a kind of horizontal modeling method of urban road area transport services based on actual measurement according to claim 2 is characterized in that seeing index in described comprises: the unimpeded rate of road network, the unimpeded rate in average highway section, road network block up rate, average road network block up rate, space degree of loading, mean space degree of loading, space load margin, mean space load margin, space degree of loading rate of change, mean space degree of loading rate of change.

5. a kind of horizontal modeling method of urban road area transport services based on actual measurement according to claim 2 is characterized in that described macro-indicators comprises: the unimpeded rate of regional road network, the average unimpeded rate of regional road network, regional road network block up rate, regional road network on average block up rate, regional road network space degree of loading, regional road network mean space degree of loading, regional road network space load margin, regional road network mean space load margin, regional road network space degree of loading rate of change, regional road network mean space degree of loading rate of change.

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