CN104851283B - The method and apparatus that urban transportation strategical planning scheme is automatically generated - Google Patents
The method and apparatus that urban transportation strategical planning scheme is automatically generated Download PDFInfo
- Publication number
- CN104851283B CN104851283B CN201510246255.0A CN201510246255A CN104851283B CN 104851283 B CN104851283 B CN 104851283B CN 201510246255 A CN201510246255 A CN 201510246255A CN 104851283 B CN104851283 B CN 104851283B
- Authority
- CN
- China
- Prior art keywords
- information
- urban transportation
- index
- actual value
- urban
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Economics (AREA)
- Human Resources & Organizations (AREA)
- Strategic Management (AREA)
- Game Theory and Decision Science (AREA)
- Marketing (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Tourism & Hospitality (AREA)
- Entrepreneurship & Innovation (AREA)
- General Business, Economics & Management (AREA)
- Development Economics (AREA)
- Theoretical Computer Science (AREA)
- Traffic Control Systems (AREA)
Abstract
The invention discloses the method and apparatus that a kind of urban transportation strategical planning scheme is automatically generated, wherein this method comprises the following steps:Obtain Traffic Systems facilities information and congested link distributed intelligence;At least one index actual value of urban transportation is obtained according to the Traffic Systems facilities information and congested link distributed intelligence;Judge each index actual value whether in pre-set level standard value range corresponding with the index;When not in pre-set level standard value range, corresponding urban transportation strategical planning scheme is generated for each index actual value not in pre-set level standard value range, methods and apparatus of the present invention can realize automatically generating for urban transportation strategical planning scheme.
Description
Technical field
The present invention relates to traffic programme technical field, relate in particular to a kind of urban transportation strategical planning scheme and give birth to automatically
Into method and apparatus.
Background technology
At present carry out transport need characteristic prediction and traffic strategy planning scheme formulation when, be required for through it is long when
Between traffic study and demand analysis, then also need to manually make traffic strategy planning scheme, this is accomplished by expending a large amount of
Human and material resources, financial resources and be artificially formed scheme cycle it is long so that the formulation cycle of whole traffic strategy planning scheme need
Short then half a year, it is long then 1~2 year.And China city is that, in fast-developing period, this is required in traffic strategy planning scheme system
Timing needs are accurate, quick and strong support can be provided for city decision-making, and still, current method can not meet traffic
A series of urgent demand of strategical planning solution formulation process, so as to bring such as decision supports according to missing, planning side
The problems such as urban infrastructure changed condition is larger after case is determined.
In view of the above-mentioned problems, formulation speed and efficiency to improve strategy plan, existing solution are mainly or main
Domain expert is leaned on to be made an on-the-spot survey by city investigation, the means such as basic data and data collection and analysis quickly to provide scheme rule
The suggestion drawn, but this method lacks quantization support, while the traffic programme scheme made also lacks comprehensive, system
Property, the technical merit dependence to expert is stronger.
The content of the invention
It is completely dependent on expert in the prior art to formulate city therefore, the technical problems to be solved by the invention are to overcome
The problem of traffic strategy planning scheme, so as to propose the method and apparatus that a kind of urban transportation strategical planning scheme is automatically generated.
The method that a kind of urban transportation strategical planning scheme of the present invention is automatically generated, comprises the following steps:
Obtain Traffic Systems facilities information and congested link distributed intelligence;
At least one of urban transportation is obtained according to the Traffic Systems facilities information and congested link distributed intelligence
Index actual value;
Judge each index actual value whether in pre-set level standard value range corresponding with the index;
It is real for each index not in pre-set level standard value range when not in pre-set level standard value range
Actual value generates corresponding urban transportation strategical planning scheme.
Preferably, it is described to generate corresponding city for each index actual value not in pre-set level standard value range
The step of city's traffic strategy planning scheme, includes:
Generated for each index actual value not in pre-set level standard value range and there is problem comprising urban transportation
The first information of information;
Judge whether the first information and default second information match, default second packet contain with prediction scheme storehouse
The corresponding urban transportation of urban transportation strategical planning scheme there is problem information;
When the first information is with default second information matches, obtain in the prediction scheme storehouse corresponding with the first information
Urban transportation strategical planning scheme.
Preferably, it is further comprising the steps of:
When the first information is mismatched with default second information, generate the city corresponding with the first information and hand over
Logical strategical planning new departure.
Preferably, it is described that urban transportation is obtained according to the Traffic Systems facilities information and congested link distributed intelligence
Index actual value comprise the following steps:
First GIS figure layers are generated according to the urban transportation facility information;
2nd GIS figure layers are generated according to the congested link distributed intelligence;
Required data and basis when extracting parameter actual value according to the first GIS figure layers and the 2nd GIS figure layers
The data calculate index actual value.
Preferably, the index includes the judge index in urban road system, the judge index in urban mass-transit system
With the judge index in city parking system, wherein, judge index in urban road system includes density of road network, road network
Judge index in area occupation ratio, per capita land for roads area, lopsided crossing quantity and road spacing, urban mass-transit system includes public affairs
Hand over share rate, public transport 300m/500m websites coverage rate, averagely density of public transport network, transfer coefficient, non-linear coefficient, operation speed
Judge index in degree and public vapour/electric car percent of punctuality, city parking system includes parking position total amount, public parking Berth number
Amount, on-street parking spaces quantity and with building parking position quantity.
The device that a kind of urban transportation strategical planning scheme of the present invention is automatically generated, including:
Distributed intelligence acquiring unit, for obtaining Traffic Systems facilities information and congested link distributed intelligence;
First index actual value acquiring unit, for according to the Traffic Systems facilities information and congested link distribution
At least one index actual value of acquisition of information urban transportation;
First judging unit, for judging each index actual value whether in pre-set level mark corresponding with the index
In the range of quasi- value;
First urban transportation strategical planning scheme acquiring unit, for judging not in default finger in first judging unit
When marking in standard value range, corresponding city is generated for each index actual value not in pre-set level standard value range
Traffic strategy planning scheme.
Preferably, the first urban transportation strategical planning schemes generation unit includes:
First information generation unit, for being generated for index actual value each not in pre-set level standard value range
There is the first information of problem information comprising urban transportation;
Second judging unit, for judging whether the first information matches with default second information, described default second
There is problem information containing the urban transportation corresponding with the urban transportation strategical planning scheme in prediction scheme storehouse in packet;
Second urban transportation strategical planning scheme acquiring unit, for judging first letter in second judging unit
When breath is with default second information matches, the urban transportation strategical planning side in the prediction scheme storehouse corresponding with the first information is obtained
Case.
Preferably, in addition to:
3rd urban transportation strategical planning scheme acquiring unit, for judging first letter in second judging unit
When breath is mismatched with default second information, urban transportation strategical planning new departure corresponding with the first information is generated.
Preferably, the first index actual value acquiring unit includes:
First GIS figure layer acquiring units, for generating the first GIS figure layers according to the urban transportation facility information;
2nd GIS figure layer acquiring units, for generating the 2nd GIS figure layers according to the congested link distributed intelligence;
Second index actual value acquiring unit, for extracting calculating according to the first GIS figure layers and the 2nd GIS figure layers
Required data and index actual value is calculated during index actual value according to the data.
Preferably, the index includes the judge index in urban road system, the judge index in urban mass-transit system
With the judge index in city parking system, wherein, judge index in urban road system includes density of road network, road network
Judge index in area occupation ratio, per capita land for roads area, lopsided crossing quantity and road spacing, urban mass-transit system includes public affairs
Hand over share rate, public transport 300m/500m websites coverage rate, averagely density of public transport network, transfer coefficient, non-linear coefficient, operation speed
Judge index in degree and public vapour/electric car percent of punctuality, city parking system includes parking position total amount, public parking Berth number
Amount, on-street parking spaces quantity and with building parking position quantity..
The above-mentioned technical proposal of the present invention has advantages below compared with prior art:
The method and apparatus that a kind of urban transportation strategical planning scheme of the present invention is automatically generated are each described by judging
Index actual value whether the step in pre-set level standard value range corresponding with the index, can be diagnosed to be current automatically
It whether there is problem in urban transportation, it is real for each index not in pre-set level standard value range when there is problem
Actual value automatically generates corresponding urban transportation strategical planning scheme, improves the formulation efficiency of programme, realizes scheme
The automation of formulation.
Methods and apparatus of the present invention further by judge comprising urban transportation exist the first information of problem information with
The step of whether default second information matches, by pre-establishing the means of prediction scheme storehouse, can automatically determine out and be asked with the presence
Urban transportation strategical planning scheme in the corresponding prediction scheme storehouse of topic, and further increase the formulation efficiency of programme,
Realize the automation of solution formulation.
Methods and apparatus of the present invention is also realized to urban transportation facility information and congested link point by generating GIS figure layers
The graphic software platform of cloth information, realizes visualization, makes one very clear, and urban transportation infrastructure is held with most fast speed
With congested link distributed intelligence.By the way that urban transportation facility information and congested link distributed intelligence are shown in GIS figure layers,
The intelligent and convenient degree of its desired value acquisition and the speed of graphic software platform are improved, index is further facilitated real
The extraction of actual value.
Brief description of the drawings
In order that present disclosure is more likely to be clearly understood, specific embodiment and combination below according to the present invention
Accompanying drawing, the present invention is further detailed explanation, wherein
Fig. 1 is a kind of flow chart of method that automatically generates of urban transportation strategical planning scheme of the embodiment of the present invention 1;
Fig. 2 is that a kind of automatically generate one of method of urban transportation strategical planning scheme of the embodiment of the present invention 1 is specific
The flow chart of example;
Fig. 3 is that a kind of automatically generate one of method of urban transportation strategical planning scheme of the embodiment of the present invention 1 is specific
The flow chart of example;
Fig. 4 is a kind of structured flowchart of device that automatically generates of urban transportation strategical planning scheme of the embodiment of the present invention 2;
Fig. 5 is that a kind of automatically generate one of device of urban transportation strategical planning scheme of the embodiment of the present invention 2 is specific
The structured flowchart of example;
Fig. 6 is that a kind of automatically generate one of device of urban transportation strategical planning scheme of the embodiment of the present invention 2 is specific
The structured flowchart of example.
Embodiment
Fig. 1 shows the FB(flow block) for the method that a kind of urban transportation strategical planning scheme of embodiment 1 is automatically generated, such as
Shown in Fig. 1, this method comprises the following steps:
Step S1:Obtain Traffic Systems facilities information and congested link distributed intelligence.The Traffic Systems are set
Apply species, distribution and the quantity of static facilities of the information including urban road system, urban mass-transit system, city parking system etc.
Etc. information, the data of these facilities informations are obtained after being acquired by specialized image information collecting device.The congestion road
Section distributed intelligence can be obtained by measuring the average speed in each section, when measured average speed is less than standard value, just
It is congested link that the section, which can be judged,;It can also be used after specialized image information collecting device is acquired to each section, pass through
Judge the road load degree in each section to obtain, be congested link when the section excess load.
Step S2:Urban transportation is obtained extremely according to the Traffic Systems facilities information and congested link distributed intelligence
A few index actual value.The index includes the judge index in urban road system, the judgement in urban mass-transit system and referred to
Judge index in mark, city parking system etc., wherein, the judge index in urban road system includes density of road network, road
Road network area occupation ratio, per capita land for roads area, lopsided crossing quantity, road spacing etc., the judge index in urban mass-transit system
Including public transport share rate, public transport 300m/500m websites coverage rate, density of public transport network, averagely transfer coefficient, non-linear coefficient,
Overall trip speed, public vapour/electric car percent of punctuality etc., judge index in city parking system include parking position total amount, public stopped
Car berth number, on-street parking spaces quantity, with building parking position quantity etc..For example, lopsided crossing quantity in These parameters,
Road spacing, parking position total amount, public parking berth number, on-street parking spaces quantity, with build parking position quantity etc. can
Directly obtained according to Traffic Systems facilities information and congested link distributed intelligence, other indexs in These parameters can basis
Traffic Systems facilities information and congested link distributed intelligence, which are calculated, to be obtained, and calculation formula is as follows:
The total length of all road axis/region gross area in density of road network=zoning;
Road network area occupation ratio=road the gross area/construction land area;
Land for roads area=road the gross area/total population per capita;
Public transport 300m/500m website coverage rates=public traffic station 300m/500m radius area coverages in built-up areas/are built
Into area's area;
The total length of all public transport road axis/region gross area in density of public transport network=zoning;
Averagely change to coefficient=bus transportation total amount/bus trip total degree;
Non-linear coefficient=public bus network walks road axis overall length/circuit terminus air line distance;
Overall trip speed=operation distance/service time;
Public vapour/electric car percent of punctuality=(originate order of classes or grades at school+terminal on schedule arrive at a station website order of classes or grades at school)/(plan dispatch a car order of classes or grades at school × 2).
In step S2, according to the difference of the urban transportation strategical planning scheme of required planning, there can be the appropriate choosing of choice
The above-mentioned judge index of acquisition needed for taking, that is to say, that by the index actual value acquired in step S2 can be above-mentioned judgement
One or more of index.
Step S3:Judge each index actual value whether in pre-set level standard value range corresponding with the index
It is interior;When not in pre-set level standard value range, into step S4;When in pre-set level standard value range, into step
Rapid S5.The pre-set level standard value can be manually set according to the actual demand of programme, also can be special according to transport need
Property analysis means obtain, and can dynamic optimization as requested, it is special that different indicators standard value has different transport needs
Property analysis method, for example, using the heterogeneity land area original unit method based on plot ratio can calculate heterogeneity use
Traffic generation/traffic attraction of ground cell level, calculation formula is as follows:Traffic generation/attraction of heterogeneity land used cell level
Amount=cell heterogeneity land area × plot ratio, and the space origin and destination point of traffic trip can be calculated using Gravity Models
Cloth obtains traffic trip circuit, and this traffic trip circuit also makes traffic trip expect circuit, then by automatic in GIS figure layers
Or artificial apply draws section line, can count needs the traffic trip quantity by section line, so that road per capita needed for analyzing acquisition
The indicators standard values such as road land area, road spacing.
Step S4:Corresponding city is generated for each index actual value not in pre-set level standard value range to hand over
Logical strategical planning scheme.
Step S5:Do not deposited comprising urban transportation for each index actual value generation in pre-set level standard value range
In the 3rd information of problem information.
By judging each index actual value whether in pre-set level standard corresponding with the index in the present embodiment
The step of in the range of value, it can automatically be diagnosed to be in current urban transportation and whether there is problem, when there is problem, for every
The individual index actual value not in pre-set level standard value range automatically generates corresponding urban transportation strategical planning scheme, carries
The high formulation efficiency of programme, realizes the automation of solution formulation.
As a kind of preferred embodiment, as shown in Fig. 2 step S4 can further comprise in the present embodiment:
Step S41:Urban transportation is included for each index actual value generation not in pre-set level standard value range
There is the first information of problem information.That is the problems of reflection urban transportation is included in the first information
Information, for example, road network gross density index actual value is 3.9km/km2, the indicators standard value scope is 5-7km/km2, so as to sentence
Break and the minimum value that road network gross density index actual value is less than indicators standard value scope, i.e., not in pre-set level standard value range
It is interior, so generation includes the first information of the small information of road network gross density.Other citings see the table below.
Step S42:Judge whether the first information and default second information match, default second packet contain with
There is problem information in the corresponding urban transportation of urban transportation strategical planning scheme in prediction scheme storehouse;When the first information and in advance
If during the second information matches, into step S43;When the first information is mismatched with default second information, into step
S44.Preferably, when judging whether matching, it is possible to use pattern matching algorithm is to the first information and default second information
The judgement of matching is made whether, it is further preferred that the keyword in the first information and the pass in default second information can be utilized
Keyword carries out pattern match.
Step S43:Obtain the urban transportation strategical planning scheme in the prediction scheme storehouse corresponding with the first information.It is described
Urban transportation strategical planning scheme in prediction scheme storehouse is there is problem according to the urban transportation of anticipation to carry out planning and designing in advance,
For example, when in the first information of generation comprising road network gross density small information, and match and it matches includes road
Default second information of the small information of road network gross density, that is to say, that deposited for this small problem of road network gross density in prediction scheme storehouse
In pre-designed urban transportation strategical planning scheme, so as to just get relative with this small problem of road network gross density
Urban transportation strategical planning scheme in the prediction scheme storehouse answered.There is pair of problem and programme in other citings and urban transportation
It should be related to and see the table below.
Step S44:Generation urban transportation strategical planning new departure corresponding with the first information.Due to described first
Information is mismatched with default second information, i.e., the urban transportation for solving to reflect problem in the first information is not present in prediction scheme storehouse
Strategical planning scheme, so just generating a new programme according to the problem, it is preferred that can be by having experience in this area
Expert plan the program.It will be understood by those of skill in the art that for each not in pre-set level standard value range
Index actual value be not limited to by above-mentioned steps S41-44 carrys out reality the step of generate corresponding urban transportation strategical planning scheme
It is existing, it can also be realized by the method for other urban transportation strategical planning schemes.
The first information and default second in the present embodiment further by judging to there is problem information comprising urban transportation
The step of whether information matches, by pre-establishing the means of prediction scheme storehouse, can automatically determine out with this that to there is problem corresponding
Prediction scheme storehouse in urban transportation strategical planning scheme, and further increase the formulation efficiency of programme, the side of realizing
The automation that case is formulated.
As a kind of preferred embodiment, as shown in figure 3, step S2 may further include in the present embodiment:
Step S21:First GIS figure layers are generated according to the urban transportation facility information.
Step S22:2nd GIS figure layers are generated according to the congested link distributed intelligence.
Step S23:Required data and basis when extracting parameter actual value according to the first, second GIS figure layers
The data calculate index actual value;Enter step S3 afterwards.
So that the index of density of road network is calculated as an example, the process that implements of the step S23 is:
(1) the line length attribute of all expression roads is added and draws road network overall length automatically in GIS line layer
Degree.
(2) in GIS programming count object range region the area (region enclosed in practical operation according to outermost road
Calculate), the object range region includes congested link.
(3) its numerical value is calculated using formula density of road network=road network total length/region area.
Realized in the present embodiment by generating GIS figure layers to urban transportation facility information and the figure of congested link distributed intelligence
Shapeization is shown, is realized visualization, is made one very clear, and urban transportation infrastructure and congested link are held with most fast speed
Distributed intelligence.By the way that urban transportation facility information and congested link distributed intelligence are shown in GIS figure layers, improve it and refer to
Intelligent and convenient degree and the speed of graphic software platform that scale value is obtained, further facilitate carrying for index actual value
Take.
It will be appreciated by those skilled in the art that according to the Traffic Systems facilities information and congested link distributed intelligence
Required number when the method for obtaining the index actual value of urban transportation is not limited to extract parameter actual value above by GIS figure layers
The method for calculating index actual value according to and according to the data, can also be using previously described direct according to urban transportation system
System facilities information and congested link distributed intelligence obtain or calculated the method obtained.
Preferably, handed over described according to the Traffic Systems facilities information and congested link distributed intelligence acquisition city
It can also comprise the following steps before the step of logical index actual value:Accordingly set according to the generation of Traffic Systems facilities information
Density map, line chart, pie chart, block diagram for applying etc., generate according to congested link distributed intelligence and reflect the close of congestion in road situation
Figure, line chart, pie chart, block diagram etc. are spent, with its distribution characteristics of graphic software platform.
By generating the image hotpoints such as density map, line chart, pie chart, block diagram to urban transportation facility information and congestion road
The graphic software platform of section distributed intelligence, realizes visualization, makes one very clear, and urban transportation basis is held with most fast speed
Facility and congested link distributed intelligence.
The device that a kind of urban transportation strategical planning scheme for specifically introducing the embodiment of the present invention 2 is automatically generated below,
As shown in figure 4, including:
Distributed intelligence acquiring unit 1, for obtaining Traffic Systems facilities information and congested link distributed intelligence.
First index actual value acquiring unit 2, for according to the Traffic Systems facilities information and congested link point
At least one index actual value of cloth acquisition of information urban transportation.The index include urban road system in judge index,
Judge index in judge index and city parking system in urban mass-transit system etc., wherein, sentencing in urban road system
Severed finger mark includes density of road network, per capita road network area occupation ratio, land for roads area, lopsided crossing quantity and road spacing etc.,
Judge index in urban mass-transit system include public transport share rate, public transport 300m/500m websites coverage rate, density of public transport network,
Coefficient, non-linear coefficient, overall trip speed and public vapour/electric car percent of punctuality etc. are averagely changed to, the judgement in city parking system refers to
Mark includes parking position total amount, public parking berth number, on-street parking spaces quantity and with building parking position quantity etc..
First judging unit 3, for judging each index actual value whether in pre-set level corresponding with the index
In standard value range.
First urban transportation strategical planning scheme acquiring unit 4, for judging not default in first judging unit
When in the range of indicators standard value, corresponding city is generated for each index actual value not in pre-set level standard value range
City's traffic strategy planning scheme.
3rd information generating unit 5, for judging the index actual value in pre-set level in first judging unit 3
When in standard value range, generation includes the 3rd information of urban transportation there is no problem information.
By judging each index actual value whether in pre-set level standard corresponding with the index in the present embodiment
In the range of value, being automatically diagnosed to be in current urban transportation and whether there is problem, when there is problem, not existing for each
Index actual value in pre-set level standard value range automatically generates corresponding urban transportation strategical planning scheme, improves rule
The formulation efficiency for the scheme of drawing, realizes the automation of solution formulation.
As a kind of preferred embodiment, as shown in figure 5, the first urban transportation strategical planning scheme described in the present embodiment
Acquiring unit 4 includes:
First information generation unit 41, for being given birth to for index actual value each not in pre-set level standard value range
Into the first information that there is problem information comprising urban transportation.
Second judging unit 42, for judging whether the first information and default second information match, described default the
There is problem information containing the urban transportation corresponding with the urban transportation strategical planning scheme in prediction scheme storehouse in two packets.
Second urban transportation strategical planning scheme acquiring unit 43, for judging described first in second judging unit
When information is with default second information matches, the urban transportation strategical planning in the prediction scheme storehouse corresponding with the first information is obtained
Scheme.
3rd urban transportation strategical planning scheme acquiring unit 44, for judging described first in second judging unit
When information is mismatched with default second information, urban transportation strategical planning new departure corresponding with the first information is generated.
It will be understood by those of skill in the art that the first urban transportation strategical planning scheme acquiring unit is not limited to by said units 41-
44 realize, also can be capable of the unit of production city traffic strategy planning scheme to realize by other.
Further judge that there is problem information comprising urban transportation first believes by the second judging unit in the present embodiment
Whether breath matches with default second information, by pre-establishing the means of prediction scheme storehouse, can automatically determine out and there is problem with this
Urban transportation strategical planning scheme in corresponding prediction scheme storehouse, and the formulation efficiency of programme is further increased, it is real
The automation of solution formulation is showed.
As a kind of preferred embodiment, as shown in fig. 6, the first index actual value acquiring unit 2 described in the present embodiment
Including:
First GIS figure layers acquiring unit 21, for generating the first GIS figure layers according to the urban transportation facility information;
2nd GIS figure layers acquiring unit 22, for generating the 2nd GIS figure layers according to the congested link distributed intelligence;
Second index actual value acquiring unit 23, based on being extracted according to the first GIS figure layers and the 2nd GIS figure layers
Required data and index actual value is calculated when calculating index actual value according to the data.
Realized in the present embodiment by generating GIS figure layers to urban transportation facility information and the figure of congested link distributed intelligence
Shapeization is shown, is realized visualization, is made one very clear, and urban transportation infrastructure and congested link are held with most fast speed
Distributed intelligence.By the way that urban transportation facility information and congested link distributed intelligence are shown in GIS figure layers, improve it and refer to
Intelligent and convenient degree and the speed of graphic software platform that scale value is obtained, further facilitate carrying for index actual value
Take.
It will be appreciated by those skilled in the art that the first index actual value acquiring unit is not limited to above by said units
When GIS figure layers in 21-23 extract parameter actual value required data and according to the data calculate index actual value come
Complete, can also using it is previously described it is direct obtained according to Traffic Systems facilities information and congested link distributed intelligence or
Person, which calculates, to be obtained.
Preferably, it can also include before the first index actual value acquiring unit 2:Set according to Traffic Systems
The unit of density map, line chart, pie chart, the block diagram of information generation corresponding establishment etc. is applied, and according to congested link distributed intelligence
The unit of density map, line chart, pie chart, the block diagram of generation reflection congestion in road situation etc., with graphic software platform, its distribution is special
Levy.
By generating the image hotpoints such as density map, line chart, pie chart, block diagram to urban transportation facility information and congestion road
The graphic software platform of section distributed intelligence, realizes visualization, makes one very clear, and urban transportation basis is held with most fast speed
Facility and congested link distributed intelligence.
Obviously, above-described embodiment is only intended to clearly illustrate example, and the not restriction to embodiment.It is right
For those of ordinary skill in the art, can also make on the basis of the above description it is other it is various forms of change or
Change.There is no necessity and possibility to exhaust all the enbodiments.And the obvious change thus extended out or
Among changing still in the protection domain of the invention.
Claims (10)
1. a kind of method that urban transportation strategical planning scheme is automatically generated, it is characterised in that comprise the following steps:
Obtain Traffic Systems facilities information and congested link distributed intelligence;
At least one index of urban transportation is obtained according to the Traffic Systems facilities information and congested link distributed intelligence
Actual value;
Judge each index actual value whether in pre-set level standard value range corresponding with the index;
When not in pre-set level standard value range, for each index actual value not in pre-set level standard value range
The corresponding urban transportation strategical planning scheme of generation.
2. the method that a kind of urban transportation strategical planning scheme according to claim 1 is automatically generated, it is characterised in that institute
State and generate corresponding urban transportation strategical planning side for each index actual value not in pre-set level standard value range
The step of case, includes:
Generated for each index actual value not in pre-set level standard value range and there is problem information comprising urban transportation
The first information;
Judge whether the first information matches with default second information, default second packet contains and the city in prediction scheme storehouse
There is problem information in the corresponding urban transportation of city's traffic strategy planning scheme;
When the first information is with default second information matches, the city in the prediction scheme storehouse corresponding with the first information is obtained
City's traffic strategy planning scheme.
3. the method that a kind of urban transportation strategical planning scheme according to claim 2 is automatically generated, it is characterised in that also
Comprise the following steps:
When the first information is mismatched with default second information, the urban transportation war corresponding with the first information is generated
Slightly plan new departure.
4. the method that a kind of urban transportation strategical planning scheme according to claim 1 is automatically generated, it is characterised in that institute
Stating the index actual value for obtaining urban transportation according to the Traffic Systems facilities information and congested link distributed intelligence includes
Following steps:
First GIS figure layers are generated according to the urban transportation facility information;
2nd GIS figure layers are generated according to the congested link distributed intelligence;
Required data and according to described when extracting parameter actual value according to the first GIS figure layers and the 2nd GIS figure layers
Data calculate index actual value.
5. the method automatically generated according to a kind of any described urban transportation strategical planning schemes of claim 1-4, its feature
It is, the index includes judge index, the judge index in urban mass-transit system and the city parking in urban road system
Judge index in system, wherein, the judge index in urban road system includes density of road network, road network area occupation ratio, people
Judge index in equal land for roads area, lopsided crossing quantity and road spacing, urban mass-transit system include public transport share rate,
Public transport 300m/500m websites coverage rate, averagely density of public transport network, transfer coefficient, non-linear coefficient, overall trip speed and public vapour
Judge index in car percent of punctuality, city parking system includes parking position total amount, public parking berth number, road-surface concrete pool
Bit quantity and with building parking position quantity.
6. the device that a kind of urban transportation strategical planning scheme is automatically generated, it is characterised in that including:
Distributed intelligence acquiring unit, for obtaining Traffic Systems facilities information and congested link distributed intelligence;
First index actual value acquiring unit, for according to the Traffic Systems facilities information and congested link distributed intelligence
Obtain at least one index actual value of urban transportation;
First judging unit, for judging each index actual value whether in pre-set level standard value corresponding with the index
In the range of;
First urban transportation strategical planning scheme acquiring unit, for judging the index actual value in first judging unit
When not in pre-set level standard value range, phase is generated for each index actual value not in pre-set level standard value range
Corresponding urban transportation strategical planning scheme.
7. the device that a kind of urban transportation strategical planning scheme according to claim 6 is automatically generated, it is characterised in that institute
Stating the first urban transportation strategical planning scheme acquiring unit includes:
First information generation unit, for being included for the index actual value generation each not in pre-set level standard value range
There is the first information of problem information in urban transportation;
Second judging unit, for judging whether the first information matches with default second information, default second information
There is problem information comprising the urban transportation corresponding with the urban transportation strategical planning scheme in prediction scheme storehouse;
Second urban transportation strategical planning scheme acquiring unit, for second judging unit judge the first information with
During default second information matches, the urban transportation strategical planning scheme in the prediction scheme storehouse corresponding with the first information is obtained.
8. the device that a kind of urban transportation strategical planning scheme according to claim 7 is automatically generated, it is characterised in that institute
Stating the first urban transportation strategical planning scheme acquiring unit also includes:
3rd urban transportation strategical planning scheme acquiring unit, for second judging unit judge the first information with
When default second information is mismatched, urban transportation strategical planning new departure corresponding with the first information is generated.
9. the device that a kind of urban transportation strategical planning scheme according to claim 6 is automatically generated, it is characterised in that institute
Stating the first index actual value acquiring unit includes:
First GIS figure layer acquiring units, for generating the first GIS figure layers according to the urban transportation facility information;
2nd GIS figure layer acquiring units, for generating the 2nd GIS figure layers according to the congested link distributed intelligence;
Second index actual value acquiring unit, for extracting parameter according to the first GIS figure layers and the 2nd GIS figure layers
Required data and index actual value is calculated during actual value according to the data.
10. the device automatically generated according to a kind of any described urban transportation strategical planning schemes of claim 6-9, its feature
It is, the index includes judge index, the judge index in urban mass-transit system and the city parking in urban road system
Judge index in system, wherein, the judge index in urban road system includes density of road network, road network area occupation ratio, people
Judge index in equal land for roads area, lopsided crossing quantity and road spacing, urban mass-transit system include public transport share rate,
Public transport 300m/500m websites coverage rate, averagely density of public transport network, transfer coefficient, non-linear coefficient, overall trip speed and public vapour
Judge index in car percent of punctuality, city parking system includes parking position total amount, public parking berth number, road-surface concrete pool
Bit quantity and with building parking position quantity.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201510246255.0A CN104851283B (en) | 2015-05-14 | 2015-05-14 | The method and apparatus that urban transportation strategical planning scheme is automatically generated |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201510246255.0A CN104851283B (en) | 2015-05-14 | 2015-05-14 | The method and apparatus that urban transportation strategical planning scheme is automatically generated |
Publications (2)
Publication Number | Publication Date |
---|---|
CN104851283A CN104851283A (en) | 2015-08-19 |
CN104851283B true CN104851283B (en) | 2017-10-31 |
Family
ID=53850898
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201510246255.0A Active CN104851283B (en) | 2015-05-14 | 2015-05-14 | The method and apparatus that urban transportation strategical planning scheme is automatically generated |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN104851283B (en) |
Families Citing this family (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108921915A (en) * | 2018-06-29 | 2018-11-30 | 中国联合网络通信有限公司深圳市分公司 | Display methods, device and the computer readable storage medium that population moving develops |
Family Cites Families (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP3510865B2 (en) * | 2001-05-07 | 2004-03-29 | 川崎重工業株式会社 | Transportation planning support method and transportation planning support device |
JP2003233896A (en) * | 2002-02-08 | 2003-08-22 | Hitachi Eng Co Ltd | Method and device for generating vehicle allocation plan |
CN101520946B (en) * | 2008-02-29 | 2010-10-13 | 厦门雅迅网络股份有限公司 | Method for planning dynamic lines of urban public transport |
CN101866550A (en) * | 2009-04-14 | 2010-10-20 | 北京宏德信智源信息技术有限公司 | Road traffic emulation technique method based on service level |
CN103854475A (en) * | 2014-03-19 | 2014-06-11 | 交通运输部公路科学研究所 | Novel urban public transportation system improvement method |
CN103886532A (en) * | 2014-03-24 | 2014-06-25 | 江苏省城市规划设计研究院 | Standardization test method for urban public facilities |
-
2015
- 2015-05-14 CN CN201510246255.0A patent/CN104851283B/en active Active
Also Published As
Publication number | Publication date |
---|---|
CN104851283A (en) | 2015-08-19 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
WO2019047905A1 (en) | Road traffic analysis system, method and apparatus | |
WO2015051718A1 (en) | Dynamic track navigation method and cloud platform | |
CN109686091B (en) | Traffic flow filling algorithm based on multi-source data fusion | |
CN109612488B (en) | Big data micro-service-based mixed travel mode path planning system and method | |
CN104809112A (en) | Method for comprehensively evaluating urban public transportation development level based on multiple data | |
CN105809962A (en) | Traffic trip mode splitting method based on mobile phone data | |
CN112991743B (en) | Real-time traffic risk AI prediction method based on driving path and system thereof | |
CN110288205B (en) | Traffic influence evaluation method and device | |
CN104200649A (en) | System and method for dispatching and distributing peak traffic hour route resources based on application in advance | |
CN102708698A (en) | Vehicle optimal-path navigation method based on vehicle internet | |
CN104599499B (en) | A kind of method and device of distributed statistics traffic location | |
Alam et al. | A comparison of route-choice navigation across air pollution exposure, CO2 emission and traditional travel cost factors | |
CN115063978B (en) | Bus arrival time prediction method based on digital twins | |
CN107808217A (en) | A kind of Public Transport Transfer optimization method based on Big Dipper positioning with the volume of the flow of passengers | |
Zhao et al. | Agent-based model (ABM) for city-scale traffic simulation: A case study on San Francisco | |
CN106529765A (en) | Performance evaluation method and device for collection operation | |
Sulistyaningrum et al. | Transit Oriented Development (TOD) index at the current transit nodes in Depok City, Indonesia | |
CN112184282A (en) | Cinema site selection model establishing method, cinema site selection method and cinema site selection platform | |
CN110059860A (en) | A kind of public charging station location layout Multipurpose Optimal Method in city | |
CN107316094A (en) | One kind commuting circuit method for digging and device | |
Bachechi et al. | Implementing an urban dynamic traffic model | |
CN108648453A (en) | A method of traffic trip data portrait is carried out based on mobile phone location fresh information | |
CN108665178A (en) | A kind of building staircase passenger flow forecast method in the subway station based on AFC | |
CN111612223A (en) | Population employment distribution prediction method and device based on land and traffic multi-source data | |
CN110889622A (en) | Bus network layout determination method, device and equipment based on bus service level |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
EXSB | Decision made by sipo to initiate substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant | ||
TR01 | Transfer of patent right |
Effective date of registration: 20210712 Address after: C1205, 11 / F, block C, 9 Shangdi 3rd Street, Haidian District, Beijing Patentee after: Beijing Puchuang Saibo Technology Co.,Ltd. Address before: 100084 room 313, new civil engineering building, Tsinghua University, Haidian District, Beijing Patentee before: Lu Huapu |
|
TR01 | Transfer of patent right |