CN104933859A - Macroscopic fundamental diagram-based method for determining bearing capacity of network - Google Patents

Macroscopic fundamental diagram-based method for determining bearing capacity of network Download PDF

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CN104933859A
CN104933859A CN201510257873.5A CN201510257873A CN104933859A CN 104933859 A CN104933859 A CN 104933859A CN 201510257873 A CN201510257873 A CN 201510257873A CN 104933859 A CN104933859 A CN 104933859A
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road network
network
road
parent map
scatter diagram
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CN104933859B (en
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马莹莹
王宇俊
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South China University of Technology SCUT
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Abstract

The invention discloses a macroscopic fundamental diagram-based method for determining the bearing capacity of a network, which includes the following steps of 1) selecting the research scope of a road network, and acquiring the geometric information, the node green-light strategy and the traffic organization of the road network; 2) drawing the macroscopic fundamental diagram (MFD) of the research scope, setting a detector based on the real environment, acquiring the traffic data of the road network to draw a scatter diagram, and judging whether the MFD meets relevant requirements or not; on the condition that the MFD meets the requirements, directly transiting to the step 3); on the condition that the scatter diagram is not completely drawn, complementally drawing the scatter diagram in the microscopic simulation manner and then conducting the step 3) after completely drawing the scatter diagram; 3) dividing the scatter diagram into three intervals, fitting the line segment of each interval by means of the least square method, extending the three line segments to form a trapezoid together with an abscissa axis, and drawing to complete the final MFD; 4) determining the bearing capacity of the regional road network according to the MFD drawn in the step 3). According to the technical scheme of the invention, the defect that the estimation of the traffic state, which heavily relays on the mass data-based computing method in the prior art, is relatively low in accuracy can be overcome.

Description

A kind of method of the determination network carrying power based on macroscopical parent map
Technical field
The present invention relates to urban road traffic network planning and the technical field of management, refer in particular to a kind of method of the determination network carrying power based on macroscopical parent map.
Background technology
Along with continuous propelling and the acceleration of urbanization process, the sustainable growth of vehicle guaranteeding organic quantity, urban road is constantly newly-built and perfect, and the rationality of traffic administration and planning seems increasingly important.Under network carrying power represents the condition of satisfied certain level of service and efficiency, the maximum standard automotive travel amount that Regional Road Network can be supported.The computing method of current road network carrying capacity, from microcosmic, main composition graphs opinion adopts various linear programming model, contents such as " the urban road traffic network calculation of capacity of max-flow Network Based " that can deliver with reference to Yang Xiaoping etc., this kind of algorithm and computation process seem complicated loaded down with trivial details, and the road network topology structure calculating complexity during actual road network brings more interference to calculating.From macroscopically mainly considering the Time-Space Occupancy that motor vehicle space-time occupies, can with reference to contents such as Hao Yan scholar'ss " urban road network capacity analysis and Research on Evaluation Method ", the method lacks analysis from entire system aspect and understanding, and relies on too much data monitoring.
Find through inventor's years of researches, any road network has corresponding macroscopical parent map (Macroscopic Fundamental Diagram, MFD), can react the base attribute of road grid traffic, exist independent of transport need.To region after the volume of traffic of road network acquires a certain degree, the efficient stable of a period of time will be kept to run, occur flex point afterwards, the operational efficiency of whole road network starts to reduce, at flex point place, less interference just may cause local and even the blocking up of bulk zone.
By drawing macroscopical parent map of specific region, the relation between the MFD basic parameter that can obtain network, the rule of more scientifically awareness network traffic flow change.When inventor shows that in road network, the magnitude of traffic flow within the specific limits by research, output vehicle number in region remains unchanged, it is trapezoidal that the MFD figure represented presents class, by the analysis to figure, the rear flex point place of deducibility figure can be used as the value of network carrying power, after determining the Traffic Net bearing capacity in region, by arranging corresponding traffic control means in road network zone boundary, vehicle number in road network is maintained within the scope of its reasonable, the operational efficiency of road network entirety can be improved, avoid local to block up and large area paralysis.
Summary of the invention
The object of the invention is to overcome the shortcoming of prior art and deficiency, a kind of method of the determination network carrying power based on macroscopical parent map is provided, breaks through the mode of conventional calculating road network carrying capacity.
For achieving the above object, technical scheme provided by the present invention is: a kind of method of the determination network carrying power based on macroscopical parent map, comprises the following steps:
1) selected road network research range, carries out specific aim acquisition to basic data, altogether comprises the data of three aspects, is respectively road network geological information, node lets pass strategy and road grid traffic tissue;
2) macroscopical parent map MFD of survey region is drawn, first, based on actual environment, detecting device is set, obtain traffic data to draw, after completing scatter diagram drafting, judge whether macroscopical parent map MFD meets the demands, satisfied then directly transit to step 3), if imperfect, adopt microscopic simulation carry out supplement draw, draw complete after enter step 3 again);
3) 3 intervals are divided into scatter diagram, adopt least square method to draw a segment matching line segment, 3 line segments are extended, and abscissa axis is formed trapezoidal, final macroscopical parent map of completing;
4) according to step 3) network carrying power of macroscopical parent map determination Regional Road Network of drawing.
In step (1), described road network geological information comprises link length, road width and number of track-lines and arranges, described node strategy of letting pass comprises and allows line mode and signal Controlling vertex phase-relate without Controlling vertex, described road grid traffic tissue comprises one-way road and arranges, turns to restriction, and car type restriction and special lane are arranged.
In step (2), based on the scatter diagram of macroscopical parent map that actual environment is drawn, comprise the following steps:
2.1) with the vehicle fleet (Net Volume, N) of time interval Δ t preset in network for horizontal ordinate; Sail out of the vehicle fleet of road network for ordinate with the time interval Δ t preset in network, be designated as G;
2.2) according to road network flow view in region, image data from wagon flow low peak period, obtains main thoroughfare vehicle number in region and can meet the condition of drawing macroscopical parent map, adopt section video detector camera function, at t 0moment takes pictures to all main thoroughfares whole process in region, counts t 0operational vehicle number in moment road network region is N 0;
2.3) determine all imports and the outlet on selection area road network border, and flow detector is set in each import and export, sum up all imports and set up import numbering set R-Entrance{R 1, R 2r m, all outlet ports sets up exit numbers S set-Exit{S 1, S 2s n, R mrepresent m import, S nrepresent the n-th outlet;
2.4) flow monitoring and statistics, determines Fixed Time Interval Δ t, sums up all timing node node set T-interval{t Time Created 0, t 1, t 2t j, wherein t j=t j-1+ Δ t; The flow volume change values of the import and export corresponding with each timing node is corresponding gather as follows:
R j-Entrance{R 1j，R 2j···R mj···}
S j-Exit{S 1j，S 2j···S nj···}
Wherein, R mjrepresent that m import is at t j-1to t jthe vehicle number of statistics in time period, S njrepresent that the n-th outlet is at t j-1to t jthe vehicle number of statistics in time period;
2.5) data processing stage, obtains effective macroscopical parent map sample value, is recorded as O j(N j, G j), wherein N jrepresent the vehicle number in j time point road network, G jrepresent j time point, as follows:
N j = N j - 1 + ( Σ m = 1 R mj - Σ n = 1 S nj )
G j = Σ n = 1 S nj
Wherein, initial value N 0at previous step 2.2) middle acquisition, according to above-mentioned relation, obtain the effective sample value of j group;
2.6) according to the sample data after process, scatter diagram is drawn;
In step (2), based on macroscopical parent map that microscopic simulation is drawn, comprise the following steps:
2.1) road network builds early-stage preparations, obtains road grid traffic data characteristics, investigates and analyses the region chosen, and corrects, arrange traffic components ratio to the parameter of emulation;
2.2) according to real road length and width, the attribute of different road is set; Build road network and node, turn to setting according to actual node, added turning lane, crossing inlet queue area are set;
2.3) according to actual crossing release manner, No-shell culture arranges and allows line discipline, signal-control crossing arrange corresponding phase-relate or adaptive control program;
2.4) all setup of entrances and exits flow detectors of road network, and corresponding assay intervals is set, guarantee to export the complete and orderly of data;
2.5) simulated environment can be directly emulation 0 from Road network traffic, and exports the traffic data detection limit of prefixed time interval Δ t, obtains the O of sufficient amount j(N j, G j);
2.6) according to the sample data after process, MATLAB is utilized to draw scatter diagram.
In step (3), scatter diagram is carried out to the method for matching, comprises the following steps:
3.1) scatter diagram being divided into three intervals, is between ascendant trend interval, meadow and downtrending interval respectively;
3.2) carry out the matching of least square method respectively for three intervals, place, simulate three line segments;
3.3) three good for matching line segments are extended, in conjunction with abscissa axis formed one trapezoidal, complete the drafting of macroscopical parent map MFD.
In step 4) in, according to the macroscopical parent map MFD completed, determine this Local Area Network bearing capacity, horizontal ordinate is the vehicle number n of road network process, and ordinate is the vehicle number g that road network sails out of, when the vehicle number run in road network between time, the delivery rate of network is stabilized in predetermined value gamma, wherein, lower limit for the network carrying power in this region determined.
Compared with prior art, tool has the following advantages and beneficial effect in the present invention:
The present invention takes full advantage of the character of macroscopical parent map, from the value of road network base attribute aspect determination road network carrying capacity, can judge that road network can the maximum number of vehicles of normal process according to value, foundation can be provided for traffic control and traffic administration, the invention provides the step and method of detailed drafting macroscopic view parent map, workable.
Accompanying drawing explanation
Fig. 1 is the schematic diagram of the present invention's macroscopic view parent map.
Fig. 2 is that flow process of the present invention is always schemed.
Fig. 3 the present invention is based on the process flow diagram that actual environment draws MFD scatter diagram.
Fig. 4 is that the present invention adopts microscopic simulation to draw the process flow diagram of MFD scatter diagram.
Fig. 5 is embodiment of the present invention Regional Road Network and gateway schematic diagram.
Fig. 6 is the MFD scatter diagram drawn based on actual environment.
Fig. 7 is the MFD road network carrying capacity judgement figure be depicted as based on actual environment and simulated environment.
Embodiment
Below in conjunction with specific embodiment, the invention will be further described.
The method of the determination network carrying power based on macroscopical parent map described in the present embodiment, basic ideas are by conjunction with site environment and simulated environment, draw macroscopical parent map to selected road network, and according to macroscopical parent map determination Regional Road Network bearing capacity.As shown in Figures 1 to 4, its situation is as follows:
1) selected road network research range, carries out specific aim acquisition to basic data, altogether comprises the data of three aspects, is respectively road network geological information, node lets pass strategy and road grid traffic tissue;
2) macroscopical parent map MFD of survey region is drawn, first, based on actual environment, detecting device is set, obtain traffic data to draw, after completing scatter diagram drafting, judge whether macroscopical parent map MFD meets the demands, satisfied then directly transit to step 3), if imperfect, adopt microscopic simulation carry out supplement draw, draw complete after enter step 3 again);
3) 3 intervals are divided into scatter diagram, adopt least square method to draw a segment matching line segment, 3 line segments are extended, and abscissa axis is formed trapezoidal, final macroscopical parent map of completing;
4) according to step 3) network carrying power of macroscopical parent map determination Regional Road Network of drawing.
In step (1), described road network geological information comprises link length, road width and number of track-lines and arranges, described node strategy of letting pass comprises and allows line mode and signal Controlling vertex phase-relate without Controlling vertex, described road grid traffic tissue comprises one-way road and arranges, turns to restriction, and car type restriction and special lane are arranged.
In step (2), based on the scatter diagram of macroscopical parent map that actual environment is drawn, comprise the following steps:
2.1) with the vehicle fleet (Net Volume, N) of time interval Δ t preset in network for horizontal ordinate; Sail out of the vehicle fleet of road network for ordinate with the time interval Δ t preset in network, be designated as G;
2.2) according to road network flow view in region, image data from wagon flow low peak period, obtains main thoroughfare vehicle number in region and can meet the condition of drawing macroscopical parent map, adopt section video detector camera function, at t 0moment takes pictures to all main thoroughfares whole process in region, counts t 0operational vehicle number in moment road network region is N 0;
2.3) determine all imports and the outlet on selection area road network border, and flow detector is set in each import and export, sum up all imports and set up import numbering set R-Entrance{R 1, R 2r m, all outlet ports sets up exit numbers S set-Exit{S 1, S 2s n, R mrepresent m import, S nrepresent the n-th outlet;
2.4) flow monitoring and statistics, determines Fixed Time Interval Δ t, sums up all timing node node set T-interval{t Time Created 0, t 1, t 2t j, wherein t j=t j-1+ Δ t; The flow volume change values of the import and export corresponding with each timing node is corresponding gather as follows:
R j-Entrance{R 1j，R 2j···R mj···}
S j-Exit{S 1j，S 2j···S nj···}
Wherein, R mjrepresent that m import is at t j-1to t jthe vehicle number of statistics in time period, S njrepresent that the n-th outlet is at t j-1to t jthe vehicle number of statistics in time period;
2.5) data processing stage, obtains effective macroscopical parent map sample value, is recorded as O j(N j, G j), wherein N jrepresent the vehicle number in j time point road network, G jrepresent j time point, as follows:
N j = N j - 1 + ( Σ m = 1 R mj - Σ n = 1 S nj )
G j = Σ n = 1 S nj
Wherein, initial value N 0at previous step 2.2) middle acquisition, according to above-mentioned relation, obtain the effective sample value of j group;
2.6) according to the sample data after process, scatter diagram is drawn;
In step (2), based on macroscopical parent map that microscopic simulation is drawn, comprise the following steps:
2.1) road network builds early-stage preparations, obtains road grid traffic data characteristics, investigates and analyses the region chosen, and corrects, arrange traffic components ratio to the parameter of emulation;
2.2) according to real road length and width, the attribute of different road is set; Build road network and node, turn to setting according to actual node, added turning lane, crossing inlet queue area are set;
2.3) according to actual crossing release manner, No-shell culture arranges and allows line discipline, signal-control crossing arrange corresponding phase-relate or adaptive control program;
2.4) all setup of entrances and exits flow detectors of road network, and corresponding assay intervals is set, guarantee to export the complete and orderly of data;
2.5) simulated environment can be directly emulation 0 from Road network traffic, and exports the traffic data detection limit of prefixed time interval Δ t, obtains the O of sufficient amount j(N j, G j);
2.6) according to the sample data after process, MATLAB is utilized to draw scatter diagram.
In step (3), scatter diagram is carried out to the method for matching, comprises the following steps:
3.1) scatter diagram being divided into three intervals, is between ascendant trend interval, meadow and downtrending interval respectively;
3.2) carry out the matching of least square method respectively for three intervals, place, simulate three line segments;
3.3) three good for matching line segments are extended, in conjunction with abscissa axis formed one trapezoidal, complete the drafting of macroscopical parent map MFD.
In step 4) in, according to the macroscopical parent map MFD completed, determine this Local Area Network bearing capacity, horizontal ordinate is the vehicle number n of road network process, and ordinate is the vehicle number g that road network sails out of, when the vehicle number run in road network between time, the delivery rate of network is stabilized in γ, wherein, lower limit for the network carrying power in this region determined.
Be specifically described below in conjunction with accompanying drawing 5 to accompanying drawing 7 pairs of the inventive method:
1) choose certain Regional Road Network, obtain basic data, comprise Regional Road Network geological information (length of each grade road, road width, number of track-lines); Node lets pass tactful (phase-relate that signal controls); Regional traffic organizational form (one-way road arranges, turns to restriction, and car type restriction and special lane are arranged).As shown in Figure 5, this network East and West direction length more than 3000 rice, north-south length more than 2000 rice, total cross junction 16,2, T-shaped crossing, five 2, crossings, tunnel.Section is unidirectional two tracks, and it is 3 tracks that crossing is widened.Cross junction is Four-phase control, and T-shaped crossing is three phase control, and five crossings, tunnel are five phase control.And setting out entrance in each section, vehicle enters network by gateway or reaches home.
2) macroscopical parent map scatter diagram is drawn
2.1) the present invention draw macroscopical parent map with the vehicle fleet (NetVolume, N) of certain hour interval of delta t in network for horizontal ordinate; Sail out of the vehicle fleet of road network for ordinate with certain hour interval of delta t in network, be designated as G.
2.2) according to road network flow view in region, image data from wagon flow low peak period (choosing the time in morning), research shows, obtains main thoroughfare vehicle number in region and can meet the condition of drawing macroscopical parent map, adopt section video detector camera function, at t 0moment takes pictures to all main thoroughfares whole process in region, counts t 0operational vehicle number in moment road network region is N 0equal 365.
2.3) determine all imports and the outlet on selection area road network border, and arrange flow detector in each import and export, this example arranges 18 import and export altogether, and numbering as shown in Figure 5, is summed up all imports and set up import numbering set R-Entrance{R 1, R 2r mr 18, all outlet ports sets up exit numbers S set-Exit{S 1, S 2s ns 18.R mrepresent m import, S nrepresent the n-th outlet.
2.4) flow monitoring and statistics, determines Fixed Time Interval Δ t, and this routine Δ t value is 15 minutes, can adjust as the case may be.Time Created node set T-interval{t 0, t 1, t 2t j, wherein t j=t j-1+ Δ t.The flow value of the import and export corresponding with each timing node is corresponding gather as follows:
R j-Entrance{R 1j，R 2j···R mj···}
S j-Exit{S 1j，S 2j···S nj···}
Wherein, R mjrepresent that m import is at t j-1to t jthe vehicle number of statistics in time period.S njrepresent that the n-th outlet is at t j-1to t jthe vehicle number of statistics in time period.For ensureing number of samples, advise from t 0moment, 7 working days of follow-up continuous collecting data.
2.5) data processing stage, obtains effective macroscopical parent map sample value, is recorded as O j(N j, G j).Wherein N jrepresent the vehicle number in j time point road network, G jrepresent that j time point sails out of network vehicle number.
N j = N j - 1 + ( Σ m = 1 R mj - Σ n = 1 S nj )
G j = Σ n = 1 S nj
Wherein, initial value N 02.2) middle acquisition, according to above-mentioned relation, the effective sample value of j group can be obtained.
2.6) according to the sample data after process, draw scatter diagram, as shown in Figure 6, carrying out observation to scatter diagram and find, there is not complete rising and downward trend in scatter diagram, needs to perform step 2.7 below) carry out emulating supplementing and draw; If the scatter diagram drawn has complete rising and decline to be tending towards, directly can perform step 3).
2.7) MFD completed based on actual environment is generally imperfect, and transport need is subject to present situation traffic quantitative limitation, can not complete reaction on MFD figure.Solution builds road network simulated environment, and adopt microscopic simulation to solve the problem, and possess following advantage: the first, the macroscopical parent map drawn by emulation is more complete; The second, do not reach transport need in actual road network, as low need state, congestion status is blocked state even, can obtain corresponding data by microscopic simulation; 3rd, the output data acquisition of emulation is comparatively simple and accurate, improves the drafting efficiency of MFD.Concrete operation step is as follows:
2.7.1) road network builds early-stage preparations, obtains road grid traffic data characteristics.The region chosen is investigated and analysed, the parameter of emulation is corrected, traffic components ratio etc. is set.
2.7.2) according to real road length and width, the attribute of different road is set; Build road network and node, turn to setting according to actual node, added turning lane, crossing inlet queue area etc. are set.
2.7.3) according to actual crossing release manner, No-shell culture arranges and allows line discipline, signal-control crossing arrange corresponding phase-relate or adaptive control program.
2.7.4) all setup of entrances and exits flow detectors of road network, and corresponding assay intervals is set, guarantee to export the complete and orderly of data.
2.7.5) simulated environment can be directly emulation 0 from Road network traffic, and exports the traffic data detection limit of certain hour interval of delta t, obtains the O of sufficient amount j(N j, G j), return step 2.6).
3) according to the scatter diagram drawn, as shown in Figure 7, the Trendline of fitting data, concrete operation step is as follows:
3.1) scatter diagram being divided into three intervals, is between ascendant trend interval, meadow and downtrending interval respectively.
3.2) carry out the matching of least square method respectively for three intervals, place, simulate three line segments.
3.3) three good for matching line segments are carried out proper extension, in conjunction with abscissa axis formed one trapezoidal, complete the drafting of MFD, as shown in Figure 7.
4) according to macroscopical parent map (MFD) of completing, this Local Area Network bearing capacity is determined.As shown in Figure 1, horizontal ordinate is the vehicle number n of road network process, and ordinate is the vehicle number g that road network sails out of.When the vehicle number run in road network between time, the delivery rate of network is stabilized in predetermined value gamma, wherein lower limit for the network carrying power in the present invention this region determined.Correspond to the region corresponding to this illustration 7, this Regional Road Network bearing capacity can be judged
In sum, the shortcomings such as the present invention uses the bearing capacity of macroscopical parent map determination road network, overcomes the computing method of heavy dependence mass data in the past, and traffic behavior estimation accuracy is lower, from the base attribute of road network, obtain network carrying power more fast and exactly.From technological means, there is higher feasibility, be worthy to be popularized.
The examples of implementation of the above are only the preferred embodiment of the present invention, not limit practical range of the present invention with this, therefore the change that all shapes according to the present invention, principle are done, all should be encompassed in protection scope of the present invention.

Claims (5)

1., based on a method for the determination network carrying power of macroscopical parent map, it is characterized in that, comprise the following steps:
1) selected road network research range, carries out specific aim acquisition to basic data, altogether comprises the data of three aspects, is respectively road network geological information, node lets pass strategy and road grid traffic tissue;
2) macroscopical parent map MFD of survey region is drawn, first, based on actual environment, detecting device is set, obtain traffic data to draw, after completing scatter diagram drafting, judge whether macroscopical parent map MFD meets the demands, satisfied then directly transit to step 3), if imperfect, adopt microscopic simulation carry out supplement draw, draw complete after enter step 3 again);
3) 3 intervals are divided into scatter diagram, adopt least square method to draw a segment matching line segment, 3 line segments are extended, and abscissa axis is formed trapezoidal, final macroscopical parent map of completing;
4) according to step 3) network carrying power of macroscopical parent map determination Regional Road Network of drawing.
2. the method for a kind of determination network carrying power based on macroscopical parent map according to claim 1, it is characterized in that: in step (1), described road network geological information comprises link length, road width and number of track-lines and arranges, described node strategy of letting pass comprises and allows line mode and signal Controlling vertex phase-relate without Controlling vertex, described road grid traffic tissue comprises one-way road and arranges, turns to restriction, and car type restriction and special lane are arranged.
3. the method for a kind of determination network carrying power based on macroscopical parent map according to claim 1, is characterized in that: in step (2), based on the scatter diagram of macroscopical parent map that actual environment is drawn, comprises the following steps:
2.1) with the vehicle fleet (Net Volume, N) of time interval Δ t preset in network for horizontal ordinate; Sail out of the vehicle fleet of road network for ordinate with the time interval Δ t preset in network, be designated as G;
2.2) according to road network flow view in region, image data from wagon flow low peak period, obtains main thoroughfare vehicle number in region and can meet the condition of drawing macroscopical parent map, adopt section video detector camera function, at t 0moment takes pictures to all main thoroughfares whole process in region, counts t 0operational vehicle number in moment road network region is N 0;
2.3) determine all imports and the outlet on selection area road network border, and flow detector is set in each import and export, sum up all imports and set up import numbering set R-Entrance{R 1, R 2r m, all outlet ports sets up exit numbers S set-Exit{S 1, S 2s n, R mrepresent m import, S nrepresent the n-th outlet;
2.4) flow monitoring and statistics, determines Fixed Time Interval Δ t, sums up all timing node node set T-interval{t Time Created 0, t 1, t 2t j, wherein t j=t j-1+ Δ t; The flow volume change values of the import and export corresponding with each timing node is corresponding gather as follows:
R j-Entrance{R 1j，R 2j···R mj···}
S j-Exit{S 1j，S 2j···S nj···}
Wherein, R mjrepresent that m import is at t j-1to t jthe vehicle number of statistics in time period, S njrepresent that the n-th outlet is at t j-1to t jthe vehicle number of statistics in time period;
2.5) data processing stage, obtains effective macroscopical parent map sample value, is recorded as O j(N j, G j), wherein N jrepresent the vehicle number in j time point road network, G jrepresent j time point, as follows:
N j = N j - 1 + ( Σ m = 1 R mj - Σ n = 1 S nj )
G j = Σ n = 1 S nj
Wherein, initial value N 0at previous step 2.2) middle acquisition, according to above-mentioned relation, obtain the effective sample value of j group;
2.6) according to the sample data after process, scatter diagram is drawn;
In step (2), based on macroscopical parent map that microscopic simulation is drawn, comprise the following steps:
2.1) road network builds early-stage preparations, obtains road grid traffic data characteristics, investigates and analyses the region chosen, and corrects, arrange traffic components ratio to the parameter of emulation;
2.2) according to real road length and width, the attribute of different road is set; Build road network and node, turn to setting according to actual node, added turning lane, crossing inlet queue area are set;
2.3) according to actual crossing release manner, No-shell culture arranges and allows line discipline, signal-control crossing arrange corresponding phase-relate or adaptive control program;
2.4) all setup of entrances and exits flow detectors of road network, and corresponding assay intervals is set, guarantee to export the complete and orderly of data;
2.5) simulated environment can be directly emulation 0 from Road network traffic, and exports the traffic data detection limit of prefixed time interval Δ t, obtains the O of sufficient amount j(N j, G j);
2.6) according to the sample data after process, MATLAB is utilized to draw scatter diagram.
4. the method for a kind of determination network carrying power based on macroscopical parent map according to claim 1, is characterized in that: in step (3), scatter diagram is carried out to the method for matching, comprise the following steps:
3.1) scatter diagram being divided into three intervals, is between ascendant trend interval, meadow and downtrending interval respectively;
3.2) carry out the matching of least square method respectively for three intervals, place, simulate three line segments;
3.3) three good for matching line segments are extended, in conjunction with abscissa axis formed one trapezoidal, complete the drafting of macroscopical parent map MFD.
5. the method for a kind of determination network carrying power based on macroscopical parent map according to claim 1, it is characterized in that: in step 4) in, according to the macroscopical parent map MFD completed, determine this Local Area Network bearing capacity, horizontal ordinate is the vehicle number n of road network process, ordinate is the vehicle number g that road network sails out of, when the vehicle number run in road network between time, the delivery rate of network is stabilized in predetermined value gamma, wherein, lower limit for the network carrying power in this region determined.
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