CN110196916B - Road type identification method - Google Patents

Road type identification method Download PDF

Info

Publication number
CN110196916B
CN110196916B CN201910366149.4A CN201910366149A CN110196916B CN 110196916 B CN110196916 B CN 110196916B CN 201910366149 A CN201910366149 A CN 201910366149A CN 110196916 B CN110196916 B CN 110196916B
Authority
CN
China
Prior art keywords
road
land
center line
property
type
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
Application number
CN201910366149.4A
Other languages
Chinese (zh)
Other versions
CN110196916A (en
Inventor
王世福
邓昭华
赵银涛
陈卓伟
冯倩晶
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
South China University of Technology SCUT
Original Assignee
South China University of Technology SCUT
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by South China University of Technology SCUT filed Critical South China University of Technology SCUT
Priority to CN201910366149.4A priority Critical patent/CN110196916B/en
Publication of CN110196916A publication Critical patent/CN110196916A/en
Application granted granted Critical
Publication of CN110196916B publication Critical patent/CN110196916B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/29—Geographical information databases
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
    • G06F16/56—Information retrieval; Database structures therefor; File system structures therefor of still image data having vectorial format
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
    • G06F16/58—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
    • G06F16/5866—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using information manually generated, e.g. tags, keywords, comments, manually generated location and time information
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
    • G06F16/58—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
    • G06F16/587—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using geographical or spatial information, e.g. location
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00—Computer-aided design [CAD]
    • G06F30/20—Design optimisation, verification or simulation

Abstract

The invention discloses a road type identification method, which comprises the following steps: carrying out data preliminary processing on the planning map of the urban road central line and urban construction land to obtain a road central line map layer and a construction map layer which are used as basic data for road type identification; acquiring land composition on two sides of a road; classifying the roads according to the land formation, and identifying the type of each road section to obtain a road type table; and adding a road type attribute to the road center line to obtain a road type graph, and finishing road type identification. Compared with the subjective judgment and classification of road types in the traditional urban design, the method greatly reduces the time cost and the labor cost, and is a more convenient and faster urban road type identification method.

Description

Road type identification method
Technical Field
The invention relates to the technical field of urban planning design analysis, in particular to a road type identification method based on urban construction land.
Background
Roads are important components in city design as public spaces in cities. The identification of the road type is beneficial to city design and provides a targeted design strategy for different types of roads. At present, only a technology for extracting urban roads through remote sensing images is available, but a technology for classifying the urban roads is lacked, and a road type identification method used in urban design is unavailable. The road type classification method in the traditional urban design is mainly subjective judgment, needs to consume more manpower and is lack of certain scientificity.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provide a road type identification method, which can realize automatic road type identification and shorten the identification time cost and the labor cost.
The purpose of the invention can be achieved by adopting the following technical scheme: a road type identification method, comprising the steps of:
carrying out data preliminary processing on the planning map of the urban road central line and urban construction land to obtain a road central line map layer and a construction map layer which are used as basic data for road type identification;
the method comprises the steps of obtaining land composition of two sides of a road, wherein the land composition reflects urban landscapes of the two sides of the road and is a basis for judging the type of the road;
classifying the roads according to the land formation, and identifying the type of each road section to obtain a road type table;
and adding a road type attribute to the road center line to obtain a road type graph, and finishing road type identification.
Preferably, the preliminary data processing specifically includes:
obtaining files of urban road center lines and urban construction land from a planning management department; for the roads of the whole city or a large area, using the drawing of the city general planning; for roads with small sections, a drawing with detailed control planning is used to improve the convenience and accuracy of data processing;
respectively extracting a road center line and a construction land, storing the road center line and the construction land as two files, wherein the road center line file is a carrier for road type identification, and the construction land file is a basis for road type identification, wherein a construction land planning map only reserves a closed wire frame of the construction land, and divides layers according to land properties, namely the construction land properties are stored in the layer properties of the closed wire frame so as to obtain the land properties in the next step;
and breaking the road center line at each road intersection to obtain all road sections, and adding the sequence number as the unique identifier of each road section for the use of subsequent connection attributes.
Preferably, the obtaining of the land use composition of the two sides of the road specifically includes:
selecting a certain distance as a buffer area of the road center line, so that the buffer area can cover construction land on two sides of the road, and generating the buffer area of the road center line;
calculating the intersection between the road center line buffer area and the ground elements for construction, and acquiring the land composition of two sides of the road; generating an intersection table between the road center line buffer area and the construction land, and counting different land properties and corresponding areas of two sides of all road sections by the intersection table;
and carrying out data perspective table processing on the intersection table to obtain land use compositions on two sides of each road section, namely the areas of different land use properties of each road section, wherein the size of the area represents the occupation ratio of the land use properties on the road section.
Preferably, the classifying the roads according to the land formation specifically includes:
calculating the percentage of all land properties of each section of road, namely the proportion of the different land properties in each section of road, and the percentage is a key index for identifying the type of the road;
rejecting property of land with the occupation ratio lower than 40%, wherein the purpose of the step is to reserve 1-2 dominant property of land on both sides of each road section, and if the occupation ratio of all the property of land on both sides of a certain road section is lower than 40%, the road section has no dominant property;
using formula A X ＝max(A 1 ,A 2 ,…,A n ) Obtaining the maximum land property ratio A of two sides of each road X And returning the right-of-way property X corresponding to the value, and naming the right-of-way property as a first right-of-way property which can be null;
using the formula A Y ＝large((A 1 ,A 2 ,…,A n ) And 2) obtaining a value A of the land property of the two sides of each road section which is larger than the second Y And returning the right-of-way property Y corresponding to the value, and naming the right-of-way property as a second right-of-way property which can be null;
and according to the obtained first land property X and second land property Y of the land used on two sides of each road, the dominant land properties of the land used on two sides of each road are X and Y, and each road is divided into a residential road, a commercial road, a landscape road, a traffic road, an industrial road and a comprehensive road according to X and Y.
Preferably, the attaching a road type attribute to the road center line to obtain a road type map specifically includes:
connecting the attribute of the road type table to a road center line layer to obtain a road center line layer with the road type attribute, wherein the connection of the attribute is based on the road serial number generated in the front, and the road serial number has uniqueness, so that the obtained road type attribute of the road center line layer is accurate;
and selecting a proper color band for the road center line image layer with the road type attribute, and displaying different road types by using different colors to obtain a road type image.
Compared with the prior art, the invention has the following advantages and beneficial effects:
1. compared with the traditional method for identifying road types by subjective judgment and classification in urban design, the method for identifying the road types based on urban construction land greatly reduces time cost and labor cost, and is more convenient and faster.
2. The method is completed on the basis of urban construction land data, and can realize quick identification of urban road types for the city or the region with the programmed urban overall plan or the controlled detailed plan.
Drawings
FIG. 1 is a block diagram of a road type identification method based on urban construction land according to an embodiment of the present invention;
FIG. 2 is a map for city construction according to an embodiment of the present invention;
FIG. 3 is a city road network diagram according to an embodiment of the present invention;
FIG. 4 is a diagram of a city road network buffer according to an embodiment of the present invention;
FIG. 5 is a diagram of urban road types according to an embodiment of the present invention.
Detailed Description
For better understanding of the technical solutions of the present invention, the following detailed description is provided for the embodiments of the present invention with reference to the accompanying drawings, but the embodiments of the present invention are not limited thereto.
Examples
The present invention will be described in further detail with reference to examples and drawings, but the present invention is not limited thereto.
The embodiment is an application example, and is a road type identification method based on urban construction land, which is practiced by taking the Zhuhai city in Guangdong province as a research object.
The method comprises the following steps of classifying roads of the urban construction land according to the types of the construction land along the roads, and specifically comprises the following steps:
s11, a first type: residential road: along the line, the residential land is taken as the main part, and the roads are matched with medium and small-scale retail, catering and living service type commercial and public service facilities for serving residents;
s12, a second type: commercial type roads: the functions of various businesses, entertainment, health and the like are taken as main functions along the line, and the road has certain service level or professional characteristics;
s13, a third type: landscape type road: two sides of the road are landscape green land parks, water systems or roads with prominent historical and geographic features, and leisure activities are generally arranged along the roads;
s14, a fourth type: traffic type road: roads dominated by traffics motorized by traffic;
s15, a fifth type: industrial type road: the two sides of the road mainly comprise industrial land and storage land and mainly use industrial logistics vehicle communication as a main traffic function;
s16, a sixth type: comprehensive road: the road section function and the interface type have higher mixing degree, or the road has more than two types of characteristics.
A CAD file of general urban construction land is obtained from a Zhuhai city planning management department;
respectively extracting a road center line and a construction land, storing the road center line and the construction land as two CAD files, wherein the road center line file is a carrier for identifying road types, and the construction land file is a basis for identifying the road types, only a closed wire frame of the construction land is reserved in the CAD of the construction land, layers are divided according to land properties, namely the construction land properties are stored in the layer properties of the closed wire frame, so that the land properties can be obtained in the next step;
loading the road center line CAD into ArcGIS software, storing the road center line CAD into a shape line element file, and using an editor-advanced editing-intersection line breaking tool to break the road center line at each road intersection to obtain all road sections to obtain a graph 2;
opening an attribute table, adding a 'serial number' field, using a field calculator to enable the field calculator to be equal to 'FID + 1', and using the field calculator as a unique identifier of each road section for subsequent connection attributes;
loading CAD (computer-aided design) for construction land into ArcGIS software, storing the CAD into a shape face element file by using a tool of 'tool box-system tool box-data management tool set-element face change', opening an attribute table, and checking whether the land property information of a layer field of a face element is accurate or not to obtain a figure 3;
according to the specific situation of the maximum road width of the city, a proper distance is selected to be used as a buffer area of the road center line, so that the buffer area can cover the construction land on two sides of the road. The operation is as follows: using a tool of 'tool kit, system tool kit, analysis tool set, neighborhood analysis and buffer zone', inputting elements to select a shapefile file of the road center line, setting a storage path, a name and a buffer distance, selecting 'FULL' for a side type, selecting 'FLAT' for an end type, selecting 'NONE' for a fusion type, and finally generating a buffer zone of the road center line according to 'determination', thereby obtaining a graph 4;
and calculating the intersection between the road center line buffer area and the construction land element by using an intersection tabulation tool to acquire land formations on two sides of the road. The operation is as follows: using a tool kit, a system tool kit, an analysis tool set, statistical analysis and intersection tabulation tool, inputting area elements, selecting road center line buffer area surface elements, selecting sequence numbers (unique identification of road sections) for area fields, selecting construction ground elements for input type elements, setting storage paths and names for output tables, selecting land properties for type fields, selecting no summation fields, selecting SQUARE _ METERS for output units, and finally generating an intersection table between the road center line buffer area and the construction land according to 'determination', wherein the intersection table is used for counting different land properties and corresponding areas of two sides of all road sections;
performing data perspective table processing on the intersection table to obtain land use compositions on two sides of each road section, and calculating the percentage of all land use properties of each road section, namely the proportion of different land use properties in each road section, which is a key index for identifying the type of the road;
using an IF function to remove the land property with the occupation ratio lower than 40%, wherein the step aims to reserve the property of 1-2 dominant land on two sides of each road section, and IF the occupation ratio of all the land properties on two sides of a certain road section is lower than 40%, the road section has no dominant land property;
using formula A X ＝max(A 1 ,A 2 ,…,A n ) Obtaining the maximum land property ratio A of two sides of each road X And returning the right-of-land property X corresponding to the value, and naming the right-of-land property as a first right-of-land property which can be null;
using formula A Y ＝large((A 1 ,A 2 ,…,A n ) And 2) obtaining a value A of the land property of the two sides of each road section which is larger than the second Y And returning the right-of-land property Y corresponding to the value, and naming the right-of-land property as a second right-of-land property which can be null;
according to the obtained first land property X and second land property Y of the land used on the two sides of each road section, the dominant land property of the land used on the two sides of each road section is X and Y, and each road section is divided into a residential road, a commercial road, a landscape road, a traffic road, an industrial road and a comprehensive road according to X and Y;
the method comprises the following specific steps: residential road-a road where the first place property is residential land, public management and public service land or utility land; commercial type road-a road whose first place is the commercial service facility place; landscape type roads-roads with first land properties of greenbelts and plaza lands or non-construction lands; traffic type road-the first place property is road and traffic facilities land or logistics storage land; industrial-type roadways — roadways whose first place properties are industrial; integrated roads-roads where both the first and second destination are empty in nature;
additionally storing the road type table obtained in the last step as a csv file, and loading the csv file into ArcGIS;
selecting to connect the attribute of the road type table to the map layer on the road centerline map layer by 'right key-connection and association-connection' to obtain the road centerline map layer with the road type attribute;
for the road center line map layer 'right key-attribute-symbol system', the selection 'category' is displayed, the value field selects 'road type', the appropriate color bar is selected, all values are added, different road types are displayed by different colors, and the point 'determination' is carried out to obtain a road type map, as shown in fig. 5.
The above embodiments are preferred embodiments of the present invention, but the present invention is not limited to the above embodiments, and any other changes, modifications, substitutions, combinations, and simplifications which do not depart from the spirit and principle of the present invention should be construed as equivalents thereof, and all such changes, modifications, substitutions, combinations, and simplifications are intended to be included in the scope of the present invention.

Claims (1)

1. A road type identification method, characterized in that the method comprises the steps of:
carrying out data preliminary processing on planning maps of urban road center lines and urban construction land to obtain road center line map layers and construction map layers as basic data for road type identification; the data preliminary processing specifically includes:
obtaining files of urban road center lines and urban construction land from a planning management department; for the roads of the whole city or a large area, using the drawing of the city general planning; for roads with small sections, a drawing for controlling detailed planning is used;
respectively extracting a road center line and a construction land, and storing the road center line and the construction land as two files, wherein the construction land planning map only reserves a closed wire frame of the construction land, and the map layers are divided according to the properties of the large land;
breaking the road center line at each road intersection to obtain all road sections, and adding sequence numbers as unique identification of each road section;
the method for obtaining land use structures of two sides of a road specifically comprises the following steps:
selecting a certain distance as a buffer area of the road center line, so that the buffer area can cover construction land on two sides of the road, and generating the buffer area of the road center line;
calculating the intersection between the road center line buffer area and the construction land to obtain the land composition on the two sides of the road; generating an intersection table between the road center line buffer area and the construction land;
performing data perspective table processing on the intersection table to obtain land composition on two sides of each road section;
classifying the roads according to the land formation, and identifying the type of each road section to obtain a road type table; the classifying of the roads according to the land formation specifically includes:
calculating the percentage A of the properties of various land types of each section of road n N refers to the land property;
eliminating land property with the occupation ratio of less than 40 percent;
using formula A X = max(A 1 ,A 2 ,…,A n ) Obtaining the maximum land property ratio A of two sides of each road X And returning the right-of-way property X corresponding to the value, and naming the right-of-way property as a first right-of-way property which can be null;
using the formula A Y = large((A 1 ,A 2 ,…,A n ) And 2) obtaining a value A of the land property of the two sides of each road section which is larger than the second Y And returning the right-of-way property Y corresponding to the value, and naming the right-of-way property as a second right-of-way property which can be null;
according to the first land property X and the second land property Y of the land used on the two sides of each road section, the dominant land properties of the land used on the two sides of each road section are X and Y, and each road section is divided into a residential road, a commercial road, a landscape road, a traffic road, an industrial road and a comprehensive road according to X and Y;
adding a road type attribute to the road center line to obtain a road type graph, and completing road type identification; the method for obtaining the road type graph by adding the road type attribute to the road center line specifically comprises the following steps:
connecting the attributes of the road type table to the road center line layer to obtain a road center line layer with road type attributes;
and selecting a proper color band for the road center line image layer with the road type attribute, and displaying different road types by using different colors to obtain a road type image.
CN201910366149.4A 2019-05-05 2019-05-05 Road type identification method Active CN110196916B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910366149.4A CN110196916B (en) 2019-05-05 2019-05-05 Road type identification method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910366149.4A CN110196916B (en) 2019-05-05 2019-05-05 Road type identification method

Publications (2)

Publication Number Publication Date
CN110196916A CN110196916A (en) 2019-09-03
CN110196916B true CN110196916B (en) 2022-11-18

Family

ID=67752412

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910366149.4A Active CN110196916B (en) 2019-05-05 2019-05-05 Road type identification method

Country Status (1)

Country Link
CN (1) CN110196916B (en)

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2013246640A (en) * 2012-05-25 2013-12-09 Denso Corp Intersection recognition device and road type recognition device
CN104750799A (en) * 2015-03-23 2015-07-01 华南理工大学 Method for recognizing construction land type rapidly based on address resolution data

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2013246640A (en) * 2012-05-25 2013-12-09 Denso Corp Intersection recognition device and road type recognition device
CN104750799A (en) * 2015-03-23 2015-07-01 华南理工大学 Method for recognizing construction land type rapidly based on address resolution data

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
A big data urban grouth simulation at a nationla scale:configuring the GIS and neural network based land transformation model to run in a high performance computing(HPC) environment;Pijanowski BC 等;《Environmental modeling&software》;20141231;250-268 *
基于多维数据的特大城市建设用地类型识别;赵渺希等;《上海城市规划》;20181231;72-77 *

Also Published As

Publication number Publication date
CN110196916A (en) 2019-09-03

Similar Documents

Publication Publication Date Title
Biba et al. A new method for determining the population with walking access to transit
CN107316098B (en) Automobile leasing point addressing method based on user behavior analysis
CN106909692B (en) Method for calculating urban public facility coverage radiation index
CN105677804A (en) Determination of authority stations and building method and device of authority station database
CN106296350A (en) A kind of visual analyzing city public bicycle system borrows the method for also pattern
CN110134865B (en) Commuting passenger social contact recommendation method and platform based on urban public transport trip big data
CN111709642A (en) Method for evaluating layout balance of barrier-free facilities in city
WO2023050955A1 (en) Urban functional zone identification method based on function mixing degree and ensemble learning
Boussauw et al. Measuring spatial separtion processes through the minimum commute: the case of Flanders
CN112184282A (en) Cinema site selection model establishing method, cinema site selection method and cinema site selection platform
Huang Data integration for urban transport planning
CN111813819A (en) Space-time big data-based place name and address online matching method
CN107316094A (en) One kind commuting circuit method for digging and device
CN110196916B (en) Road type identification method
Glackin et al. A software-aided workflow for precinct-scale residential redevelopment
CN116703132A (en) Management method and device for dynamic scheduling of shared vehicles and computer equipment
CN111882471A (en) Carbon emission evaluation method and system for new district planning
CN113487341B (en) Urban business strategy data processing method
CN116187605A (en) Bus network line selection method based on GIS technology
CN103246650A (en) Road logic model and manufacture method thereof
CN115146840A (en) Data-driven rail transit new line access passenger flow prediction method
CN111259308A (en) Bus network hub evaluation method based on multiple mappings
CN109767099A (en) A kind of maintenance project project base construction method
KR102374342B1 (en) Food waste management support apparatus and method
Ibrahim et al. Assessment of the proposed impact of post-office closure in Leicestershire (UK) using GIS-based network analysis

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant