CN104933859B - A kind of method of the determination network carrying power based on macroscopical parent map - Google Patents
A kind of method of the determination network carrying power based on macroscopical parent map Download PDFInfo
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Abstract
The invention discloses a kind of method of the determination network carrying power based on macroscopical parent map, comprise the following steps：1) road network research range is selected, road network geological information, node clearance strategy and road grid traffic tissue is obtained；2) macroscopical parent map MFD of survey region is drawn, detector is set based on actual environment, traffic data is obtained to be drawn, complete after scatter diagram drafting, judge whether macroscopic view parent map MFD meets requirement, satisfaction then directly transits to step 3), if imperfect, supplement drafting is carried out using microscopic simulation, step 3 is entered back into after drawing completely)；3) scatter diagram is carried out being divided into 3 intervals, a segment matching line segment is drawn using least square method, 3 line segments are extended, and axis of abscissas forms trapezoidal, final macroscopical parent map of completing；4) according to step 3) macroscopical parent map for drawing determines the network carrying power of Regional Road Network.Instant invention overcomes the computational methods of conventional heavy dependence mass data, the shortcomings of traffic behavior estimation accuracy is relatively low.
Description
Technical field
The present invention relates to the technical field of urban road traffic network planning and management, refer in particular to a kind of based on macroscopical base
The method of the determination network carrying power of this figure.
Background technology
With the continuous propulsion and acceleration of urbanization process, the sustainable growth of vehicle guaranteeding organic quantity, urban road is constantly new
Build and perfect, the reasonability of traffic administration and planning seems increasingly important.Network carrying power represents to meet certain transport services water
Under conditions of gentle efficiency, the maximum standard automotive travel amount that Regional Road Network can be supported.The calculating of current road network carrying capacity
Method, uses various linear programming models mainly in combination with graph theory from microcosmic, refers to what Yang Xiaoping etc. was delivered《Based on network most
The urban road traffic network calculation of capacity flowed greatly》Etc. content, this kind of algorithm and calculating process seem complicated cumbersome, calculate
Complicated road network topology structure brings more interference to calculating during actual road network.Consider that motor vehicle space-time is accounted for from macroscopically main
Some Time-Space Occupancies, refer to Hao Yan scholar《Urban road network capacity is analyzed and Research on Evaluation Method》Etc. content, this method
Lack the analysis in terms of system entirety and understanding, and rely on excessive data monitoring.
Found through inventor's years of researches, any road network has corresponding macroscopical parent map (Macroscopic
Fundamental Diagram, MFD), the base attribute of road grid traffic can be reacted, transport need presence is independently of.It is right
Region is after the volume of traffic of road network reaches to a certain degree, it will keeps the efficient stable operation of a period of time, occurs afterwards
Flex point, the operational efficiency of whole road network starts reduction, and at flex point, less interference this may result in part or even bulk zone
Congestion.
By drawing macroscopical parent map of specific region, the relation between the MFD basic parameters of network can be obtained, more
The rule that scientifically awareness network traffic flow changes.Inventor shows that the magnitude of traffic flow is within the specific limits in road network by research
When, the output vehicle number in region keeps constant, and it is trapezoidal that the MFD figures showed are presented class, by the analysis to figure, can push away
At the rear flex point of disconnected figure can as network carrying power value, after the Traffic Net bearing capacity for determining region, by
Road network zone boundary sets corresponding traffic control means, and vehicle number in road network is maintained in the range of its reasonable, can be carried
The overall operational efficiency of high road network, it is to avoid local congestion and large area paralysis.
The content of the invention
It is an object of the invention to the shortcoming and deficiency for overcoming prior art, there is provided a kind of determination based on macroscopical parent map
The method of network carrying power, breaks through the mode of conventional calculating road network carrying capacity.
To achieve the above object, technical scheme provided by the present invention is：A kind of determination network based on macroscopical parent map
The method of bearing capacity, comprises the following steps：
1) road network research range is selected, specific aim acquisition is carried out to basic data, the data of three aspects is included altogether, respectively
For road network geological information, node clearance strategy and road grid traffic tissue；
2) macroscopical parent map MFD of survey region is drawn, first, detector is set based on actual environment, obtains traffic number
According to being drawn, complete after scatter diagram drafting, judge whether macroscopic view parent map MFD meets requirement, satisfaction then directly transits to step
It is rapid that if imperfect, supplement drafting 3) is carried out using microscopic simulation, draw it is complete after enter back into step 3)；
3) scatter diagram is carried out being divided into 3 intervals, each segment matching line segment is drawn using least square method, by 3
Line segment extends, and axis of abscissas forms trapezoidal, final macroscopical parent map of completing；
4) according to step 3) macroscopical parent map for drawing determines the network carrying power of Regional Road Network.
In step 1) in, the road network geological information includes link length, road width and number of track-lines and set, the node
Strategy of letting pass includes allowing line mode and signal control node phase phase sequence without control node, and the road grid traffic tissue includes single
Line is set, turns to limitation, and car type limitation and special lane are set.
In step 2) in, the scatter diagram for the macroscopical parent map drawn based on actual environment is comprised the following steps：
2.1) vehicle fleet of the default time interval Δ t using in network is abscissa (Net Volume, N)；With network
The vehicle fleet that interior default time interval Δ t sails out of road network is ordinate, is designated as G；
2.2) according to road network flow view in region, the gathered data since wagon flow low peak period is obtained and mainly led in region
Road vehicle number can meet the condition for drawing macroscopical parent map, using section video detector camera function, in t0Moment is to area
All main thoroughfare whole process are taken pictures in domain, count t0Operation vehicle number in moment road network region is N0；
2.3) all inlet and outlets on selection area road network border are determined, and flow detector is set in each import and export,
Summarize all imports and set up import numbering set R-Entrance { R1, R2···Rm, all outlet ports set up outlet
Number set S-Exit { S1, S2···Sn, RmRepresent m-th of import, SnRepresent n-th of outlet；
2.4) flow monitoring and statistics, determine Fixed Time Interval Δ t, summarize all timing node setup time sets of node
Close T-interval { t0, t1, t2···tj, wherein tj=tj-1+Δt；The turnover corresponding with each timing node
The flow volume change values correspondence set of mouth is as follows：
Rj-Entrance{R1j, R2j···Rmj···}
Sj-Exit{S1j, S2j···Snj···}
Wherein, RmjRepresent m-th of import in tj-1To tjThe vehicle number of statistics, S in periodnjRepresent that n-th of outlet exists
tj-1To tjThe vehicle number of statistics in period；
2.5) data processing stage, obtains effective macroscopical parent map sample value, is recorded as Oj(Nj, Gj), wherein NjRepresent
Vehicle number in j time point road networks, GjRepresent that j time points leave the vehicle number of road network, it is as follows：
Wherein, initial value N0In previous step 2.2) middle acquisition, according to above-mentioned relation, obtain the effective sample value of j groups；
2.6) according to the sample data after processing, scatter diagram is drawn；
In step 2) in, the macroscopical parent map drawn based on microscopic simulation is comprised the following steps：
2.1) road network builds early-stage preparations, obtains road grid traffic data characteristics, the region of selection is investigated and analysed, right
The parameter of emulation is corrected, and sets traffic components ratio；
2.2) according to real road length and width, the attribute of different roads is set；Road network and node are built, according to reality
The steering of node is set, and sets added turning lane, crossing inlet queue area；
2.3) according to actual intersection release manner, No-shell culture sets and allows line discipline, and signal-control crossing sets corresponding
Phase phase sequence or adaptive control program；
2.4) all setup of entrances and exits flow detectors of road network, and corresponding assay intervals are set, it is ensured that output data
It is complete and orderly；
2.5) simulated environment can be emulated directly since Road network traffic is 0, and export prefixed time interval Δ t traffic
Data Detection amount, obtains sufficient amount of Oj(Nj, Gj)；
2.6) according to the sample data after processing, scatter diagram is drawn using MATLAB.
In step 3) in, the method being fitted to scatter diagram comprises the following steps：
3.1) scatter diagram is divided into three intervals, is that interval ascendant trend, steady interval and downward trend are interval respectively；
3.2) the interval fitting for carrying out least square method at three is directed to respectively, fits three line segments；
3.3) be fitted three line segments are extended, it is trapezoidal with reference to axis of abscissas formation one, complete macroscopic view basic
Scheme MFD drafting.
In step 4) in, according to the macroscopical parent map MFD completed, the Local Area Network bearing capacity is determined, abscissa is
The vehicle number n run in road network, ordinate is the vehicle number g that road network is sailed out of, when the vehicle number run in road networkIt
Between when, the output flow of network is stable in predetermined value gamma, wherein, higher limitFor the network carrying power in the identified region.
The present invention compared with prior art, has the following advantages that and beneficial effect：
The present invention takes full advantage of the property of macroscopical parent map, and taking for road network carrying capacity is determined in terms of road network base attribute
Value, may determine that road network can be able to be that traffic control and traffic administration are carried with the maximum vehicle number mesh of normal process according to value
It is workable the step of parent map macroscopical the invention provides detailed drafting and method for foundation.
Brief description of the drawings
Fig. 1 is the schematic diagram of the macroscopical parent map of the present invention.
Fig. 2 is flow total figure of the present invention.
Fig. 3 draws the flow chart of MFD scatter diagrams for the present invention based on actual environment.
Fig. 4 draws the flow chart of MFD scatter diagrams for the present invention using microscopic simulation.
Fig. 5 is Regional Road Network of the embodiment of the present invention and gateway schematic diagram.
Fig. 6 is the MFD scatter diagrams drawn based on actual environment.
Fig. 7 is the MFD road network carrying capacity judgement figures being depicted as based on actual environment and simulated environment.
Embodiment
With reference to 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 combining
Site environment and simulated environment, macroscopical parent map are drawn to selected road network, and determine that Regional Road Network is held according to macroscopical parent map
Carry power.As shown in Figures 1 to 4, its situation is as follows：
1) road network research range is selected, specific aim acquisition is carried out to basic data, the data of three aspects is included altogether, respectively
For road network geological information, node clearance strategy and road grid traffic tissue；
2) macroscopical parent map MFD of survey region is drawn, first, detector is set based on actual environment, obtains traffic number
According to being drawn, complete after scatter diagram drafting, judge whether macroscopic view parent map MFD meets requirement, satisfaction then directly transits to step
It is rapid that if imperfect, supplement drafting 3) is carried out using microscopic simulation, draw it is complete after enter back into step 3)；
3) scatter diagram is carried out being divided into 3 intervals, each segment matching line segment is drawn using least square method, by 3
Line segment extends, and axis of abscissas forms trapezoidal, final macroscopical parent map of completing；
4) according to step 3) macroscopical parent map for drawing determines the network carrying power of Regional Road Network.
In step 1) in, the road network geological information includes link length, road width and number of track-lines and set, the node
Strategy of letting pass includes allowing line mode and signal control node phase phase sequence without control node, and the road grid traffic tissue includes single
Line is set, turns to limitation, and car type limitation and special lane are set.
In step 2) in, the scatter diagram for the macroscopical parent map drawn based on actual environment is comprised the following steps：
2.1) vehicle fleet of the default time interval Δ t using in network is abscissa (Net Volume, N)；With network
The vehicle fleet that interior default time interval Δ t sails out of road network is ordinate, is designated as G；
2.2) according to road network flow view in region, the gathered data since wagon flow low peak period is obtained and mainly led in region
Road vehicle number can meet the condition for drawing macroscopical parent map, using section video detector camera function, in t0Moment is to area
All main thoroughfare whole process are taken pictures in domain, count t0Operation vehicle number in moment road network region is N0；
2.3) all inlet and outlets on selection area road network border are determined, and flow detector is set in each import and export,
Summarize all imports and set up import numbering set R-Entrance { R1, R2···Rm, all outlet ports set up outlet
Number set S-Exit { S1, S2···Sn, RmRepresent m-th of import, SnRepresent n-th of outlet；
2.4) flow monitoring and statistics, determine Fixed Time Interval Δ t, summarize all timing node setup time sets of node
Close T-interval { t0, t1, t2···tj, wherein tj=tj-1+Δt；The turnover corresponding with each timing node
The flow volume change values correspondence set of mouth is as follows：
Rj-Entrance{R1j, R2j···Rmj···}
Sj-Exit{S1j, S2j···Snj···}
Wherein, RmjRepresent m-th of import in tj-1To tjThe vehicle number of statistics, S in periodnjRepresent that n-th of outlet exists
tj-1To tjThe vehicle number of statistics in period；
2.5) data processing stage, obtains effective macroscopical parent map sample value, is recorded as Oj(Nj, Gj), wherein NjRepresent
Vehicle number in j time point road networks, GjRepresent that j time points leave the vehicle number of road network, it is as follows：
Wherein, initial value N0In previous step 2.2) middle acquisition, according to above-mentioned relation, obtain the effective sample value of j groups；
2.6) according to the sample data after processing, scatter diagram is drawn；
In step 2) in, the macroscopical parent map drawn based on microscopic simulation is comprised the following steps：
2.1) road network builds early-stage preparations, obtains road grid traffic data characteristics, the region of selection is investigated and analysed, right
The parameter of emulation is corrected, and sets traffic components ratio；
2.2) according to real road length and width, the attribute of different roads is set；Road network and node are built, according to reality
The steering of node is set, and sets added turning lane, crossing inlet queue area；
2.3) according to actual intersection release manner, No-shell culture sets and allows line discipline, and signal-control crossing sets corresponding
Phase phase sequence or adaptive control program；
2.4) all setup of entrances and exits flow detectors of road network, and corresponding assay intervals are set, it is ensured that output data
It is complete and orderly；
2.5) simulated environment can be emulated directly since Road network traffic is 0, and export prefixed time interval Δ t traffic
Data Detection amount, obtains sufficient amount of Oj(Nj, Gj)；
2.6) according to the sample data after processing, scatter diagram is drawn using MATLAB.
In step 3) in, the method being fitted to scatter diagram comprises the following steps：
3.1) scatter diagram is divided into three intervals, is that interval ascendant trend, steady interval and downward trend are interval respectively；
3.2) the interval fitting for carrying out least square method at three is directed to respectively, fits three line segments；
3.3) be fitted three line segments are extended, it is trapezoidal with reference to axis of abscissas formation one, complete macroscopic view basic
Scheme MFD drafting.
In step 4) in, according to the macroscopical parent map MFD completed, the Local Area Network bearing capacity is determined, abscissa is
The vehicle number n run in road network, ordinate is the vehicle number g that road network is sailed out of, when the vehicle number run in road networkIt
Between when, the output flow of network is stable in γ, wherein, higher limitFor the network carrying power in the identified region.
5 the inventive method is specifically described to accompanying drawing 7 below in conjunction with the accompanying drawings：
1) choose certain Regional Road Network, obtain basic data, including Regional Road Network geological information (length of each grade road,
Road width, number of track-lines)；Node is let pass tactful (the phase phase sequence of signal control)；(one-way road is set regional traffic organizational form
Put, turn to limitation, car type limitation and special lane are set).As shown in figure 5, the rice of network East and West direction length more than 3000, north-south is long
More than 2000 rice are spent, cross junction 16, T-shaped intersection 2, five tunnel intersections 2 is had.Section is unidirectional two track, is handed over
Prong is widened as 3 tracks.Cross junction is Four-phase control, and T-shaped intersection is three phase controllings, and five tunnel intersections are five
Phase controlling.And gateway is set in each section, vehicle enters network by gateway or reached home.
2) macroscopical parent map scatter diagram is drawn
2.1) vehicle fleet for macroscopical parent map intervals Δ t using in network that the present invention is drawn is abscissa
(Net Volume, N)；The vehicle fleet that intervals Δ t sails out of road network using in network is designated as G as ordinate.
2.2) according to road network flow view in region, the gathered data since wagon flow low peak period (choosing the time in morning) is ground
Study carefully and show, the condition for drawing macroscopical parent map can be met by obtaining main thoroughfare vehicle number in region, using section video detection
Device camera function, in t0Moment takes pictures to all main thoroughfare whole process in region, counts t0Operation car in moment road network region
Number is N0Equal to 365.
2.3) all inlet and outlets on selection area road network border are determined, and flow detector is set in each import and export,
This example sets 18 import and export, numbering altogether as shown in figure 5, summarizing all imports sets up import numbering set R-Entrance
{R1, R2···Rm···R18, all outlet ports set up exit numbers set S-Exit { S1, S2···Sn···S18}。
RmRepresent m-th of import, SnRepresent n-th of outlet.
2.4) flow monitoring and statistics, determine Fixed Time Interval Δ t, and this example Δ t values are 15 minutes, can be according to specific
Situation is adjusted.Setup time node set T-interval { t0, t1, t2···tj, wherein tj=tj-1+Δ
t.The corresponding set of flow value of the import and export corresponding with each timing node is as follows：
Rj-Entrance{R1j, R2j···Rmj···}
Sj-Exit{S1j, S2j···Snj···}
Wherein, RmjRepresent m-th of import in tj-1To tjThe vehicle number of statistics in period.SnjRepresent that n-th of outlet exists
tj-1To tjThe vehicle number of statistics in period.To ensure number of samples, it is proposed that from t0Moment, follow-up continuous collecting data 7
Individual working day.
2.5) data processing stage, obtains effective macroscopical parent map sample value, is recorded as Oj(Nj, Gj).Wherein NjRepresent
Vehicle number in j time point road networks, GjRepresent that j time points sail out of network vehicle number.
Wherein, initial value N0Obtained in 2.2), according to above-mentioned relation, the effective sample value of j groups can be obtained.
2.6) according to the sample data after processing, scatter diagram is drawn, as shown in fig. 6, being carried out to scatter diagram it has been observed that dissipating
The trend of complete raising and lowering is not present, it is necessary to perform below step 2.7 in point diagram) carry out emulation supplement drafting；If drawing
Scatter diagram there is complete raising and lowering to tend to, can directly perform step 3).
2.7) MFD completed based on actual environment is typically imperfect, and transport need is limited by the present situation volume of traffic,
It can not react completely on MFD figures.Solution is to build road network simulated environment, and above-mentioned ask can be solved using microscopic simulation
Topic, and possess following advantage：First, by emulating the macroscopical parent map drawn than more complete；Second, in actual road network not
Once transport need is reached, such as low need state, congestion status even blocked state can obtain corresponding number by microscopic simulation
According to；3rd, the output data of emulation obtains relatively simple and accurate, improves MFD drafting efficiency.Concrete operation step is as follows：
2.7.1) road network builds early-stage preparations, obtains road grid traffic data characteristics.The region of selection is investigated and analysed,
Parameter to emulation is corrected, and sets traffic components ratio etc..
2.7.2) according to real road length and width, the attribute of different roads is set；Road network and node are built, according to reality
The steering of border node is set, and sets added turning lane, crossing inlet queue area etc..
2.7.3) according to actual intersection release manner, No-shell culture sets and allows line discipline, and signal-control crossing sets phase
The phase phase sequence or adaptive control program answered.
2.7.4) all setup of entrances and exits flow detectors of road network, and corresponding assay intervals are set, it is ensured that output data
It is complete and orderly.
2.7.5) simulated environment can be emulated directly since Road network traffic is 0, and export intervals Δ t friendship
Logical Data Detection amount, obtains sufficient amount of Oj(Nj, Gj), return to step 2.6).
3) according to the scatter diagram of drafting, as shown in fig. 7, the Trendline of fitting data, concrete operation step is as follows：
3.1) scatter diagram is divided into three intervals, is that interval ascendant trend, steady interval and downward trend are interval respectively.
3.2) the interval fitting for carrying out least square method at three is directed to respectively, fits three line segments.
3.3) be fitted three line segments are subjected to proper extension, it is trapezoidal with reference to axis of abscissas formation one, it is complete
Into MFD drafting, as shown in Figure 7.
4) according to the macroscopical parent map (MFD) completed, the Local Area Network bearing capacity is determined.As shown in figure 1, abscissa
For the vehicle number n run in road network, ordinate is the vehicle number g that road network is sailed out of.When the vehicle number run in road networkIt
Between when, the output flow of network is stable in predetermined value gamma, wherein higher limitThe network in the region determined by the present invention is held
Carry power.The region corresponding to this example Fig. 7 is corresponded to, the Regional Road Network bearing capacity is can determine whether
In summary, the present invention determines the bearing capacity of road network with macroscopical parent map, overcomes conventional heavy dependence largely to count
According to computational methods, the shortcomings of traffic behavior estimation accuracy is relatively low be more quick and accurate from the base attribute of road network
Ground obtains network carrying power.There is higher feasibility from technological means, be worthy to be popularized.
Examples of implementation described above are only the preferred embodiments of the invention, and the implementation model of the present invention is not limited with this
Enclose, therefore the change that all shape, principles according to the present invention are made, it all should cover within the scope of the present invention.
Claims (2)
1. a kind of method of the determination network carrying power based on macroscopical parent map, it is characterised in that comprise the following steps：
1) road network research range is selected, specific aim acquisition is carried out to basic data, the data of three aspects, respectively road are included altogether
Net geological information, node clearance strategy and road grid traffic tissue；
2) macroscopical parent map MFD of survey region is drawn, first, detector is set based on actual environment, traffic data is obtained and enters
Row is drawn, and is completed after scatter diagram drafting, judges whether macroscopic view parent map MFD meets requirement, and satisfaction then directly transits to step 3),
If imperfect, supplement drafting is carried out using microscopic simulation, step 3 is entered back into after drawing completely)；Wherein, painted based on actual environment
The scatter diagram of macroscopical parent map of system, comprises the following steps：
2.1) vehicle fleet of the default time interval Δ t using in network is abscissa (Net Volume, N)；With pre- in network
If time interval Δ t sail out of road network vehicle fleet be ordinate, be designated as G；
2.2) according to road network flow view in region, the gathered data since wagon flow low peak period obtains main thoroughfare car in region
Number can meet the condition for drawing macroscopical parent map, using section video detector camera function, in t0Moment is in region
All main thoroughfare whole process are taken pictures, and count t0Operation vehicle number in moment road network region is N0；
2.3) all inlet and outlets on selection area road network border are determined, and flow detector is set in each import and export, are summarized
Import numbering set R-Entrance { R are set up in all imports1, R2…Rm..., all outlet ports set up exit numbers set S-
Exit{S1, S2…Sn..., RmRepresent m-th of import, SnRepresent n-th of outlet；
2.4) flow monitoring and statistics, determine Fixed Time Interval Δ t, summarize all timing node setup time node set T-
interval{t0, t1, t2…tj..., wherein tj=tj-1+Δt；The changes in flow rate of the import and export corresponding with each timing node
Value correspondence set is as follows：
Rj-Entrance{R1j, R2j…Rmj…}
Sj-Exit{S1j, S2j…Snj…}
Wherein, RmjRepresent m-th of import in tj-1To tjThe vehicle number of statistics, S in periodnjRepresent n-th of outlet in tj-1Extremely
tjThe vehicle number of statistics in period；
2.5) data processing stage, obtains effective macroscopical parent map sample value, is recorded as Oj(Nj, Gj), wherein NjRepresent the j times
Vehicle number in point road network, GjRepresent that j time points leave the vehicle number of road network, it is as follows：
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Wherein, initial value N0In previous step 2.2) middle acquisition, according to above-mentioned relation, obtain the effective sample value of j groups；
2.6) according to the sample data after processing, scatter diagram is drawn；
The macroscopical parent map drawn based on microscopic simulation, is comprised the following steps：
2.1) road network builds early-stage preparations, obtains road grid traffic data characteristics, the region of selection is investigated and analysed, to emulation
Parameter be corrected, set traffic components ratio；
2.2) according to real road length and width, the attribute of different roads is set；Road network and node are built, according to actual node
Steering set, set added turning lane, crossing inlet queue area；
2.3) according to actual intersection release manner, No-shell culture sets and allows line discipline, and signal-control crossing sets corresponding phase
Position phase sequence or adaptive control program；
2.4) all setup of entrances and exits flow detectors of road network, and corresponding assay intervals are set, it is ensured that output data it is complete
With it is orderly；
2.5) simulated environment can be emulated directly since Road network traffic is 0, and export prefixed time interval Δ t traffic data
Detection limit, obtains sufficient amount of Oj(Nj, Gj)；
2.6) according to the sample data after processing, scatter diagram is drawn using MATLAB；
3) scatter diagram is carried out being divided into 3 intervals, each segment matching line segment is drawn using least square method, by 3 line segments
Extension, and axis of abscissas form trapezoidal, final macroscopical parent map of completing；Wherein, the method being fitted to scatter diagram,
Comprise the following steps：
3.1) scatter diagram is divided into three intervals, is that interval ascendant trend, steady interval and downward trend are interval respectively；
3.2) the interval fitting for carrying out least square method at three is directed to respectively, fits three line segments；
3.3) be fitted three line segments are extended, it is trapezoidal with reference to axis of abscissas formation one, complete macroscopical parent map MFD
Drafting；
4) according to step 3) macroscopical parent map for drawing determines the network carrying power of Regional Road Network；Wherein, according to completing
Macroscopical parent map MFD, determines the Local Area Network bearing capacity, and abscissa is the vehicle number n run in road network, and ordinate is sailed for road network
From vehicle number g, when the vehicle number run in road networkBetween when, the output flow of network is stable in predetermined value gamma,
Wherein, higher limitFor the network carrying power in the identified region.
2. a kind of method of determination network carrying power based on macroscopical parent map according to claim 1, it is characterised in that：
In step 1) in, the road network geological information includes link length, road width and number of track-lines and set, and the node is let pass tactful
Including allowing line mode and signal control node phase phase sequence without control node, the road grid traffic tissue is set including one-way road
Put, turn to limitation, car type limitation and special lane are set.
Priority Applications (1)
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| CN106128133A (en) * | 2016-07-18 | 2016-11-16 | 合肥工业大学 | A kind of based on traffic efficiency with the area traffic control method of network energy consumption |
| CN106408943A (en) * | 2016-11-17 | 2017-02-15 | 华南理工大学 | Road-network traffic jam discrimination method based on macroscopic fundamental diagram |
| CN106504536B (en) * | 2016-12-09 | 2019-01-18 | 华南理工大学 | A kind of traffic zone coordination optimizing method |
| CN106971565B (en) * | 2017-04-22 | 2019-08-23 | 高新兴科技集团股份有限公司 | Regional traffic boundary Control and induction Synergistic method and system based on Internet of Things |
| CN109785625B (en) * | 2019-02-18 | 2020-09-08 | 北京航空航天大学 | Method for identifying and evaluating red and green areas of urban road network operation state |
| CN110851769B (en) * | 2019-11-25 | 2020-07-24 | 东南大学 | Network bearing capacity-based electric bus network reliability evaluation method |
| CN110930708A (en) * | 2019-12-06 | 2020-03-27 | 北京工业大学 | Urban traffic bearing capacity calculation and prediction method |
| CN111127880A (en) * | 2019-12-16 | 2020-05-08 | 西南交通大学 | MFD-based grid network traffic performance analysis method |
| CN113129582B (en) * | 2019-12-31 | 2023-05-09 | 阿里巴巴集团控股有限公司 | Traffic state prediction method and device |
| CN111882886A (en) * | 2020-04-21 | 2020-11-03 | 东南大学 | MFD-based traffic threshold control sub-area bearing capacity estimation method |
| CN113593220B (en) * | 2021-07-02 | 2022-07-29 | 南京泛析交通科技有限公司 | Road network bearing capacity estimation method based on macroscopic basic graph |
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