CN116052415A - Resident trip path distribution and road network visualization method based on mobile phone signaling data - Google Patents
Resident trip path distribution and road network visualization method based on mobile phone signaling data Download PDFInfo
- Publication number
- CN116052415A CN116052415A CN202211648494.5A CN202211648494A CN116052415A CN 116052415 A CN116052415 A CN 116052415A CN 202211648494 A CN202211648494 A CN 202211648494A CN 116052415 A CN116052415 A CN 116052415A
- Authority
- CN
- China
- Prior art keywords
- travel
- road network
- road
- nodes
- point
- 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.)
- Pending
Links
Images
Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0125—Traffic data processing
- G08G1/0129—Traffic data processing for creating historical data or processing based on historical data
-
- 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
- G06F16/26—Visual data mining; Browsing structured data
-
- 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
- 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"
- G06Q10/047—Optimisation of routes or paths, e.g. travelling salesman problem
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/02—Services making use of location information
- H04W4/029—Location-based management or tracking services
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W8/00—Network data management
- H04W8/22—Processing or transfer of terminal data, e.g. status or physical capabilities
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Databases & Information Systems (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Economics (AREA)
- Computer Networks & Wireless Communication (AREA)
- Data Mining & Analysis (AREA)
- General Engineering & Computer Science (AREA)
- Signal Processing (AREA)
- Strategic Management (AREA)
- Development Economics (AREA)
- Game Theory and Decision Science (AREA)
- Chemical & Material Sciences (AREA)
- Entrepreneurship & Innovation (AREA)
- Marketing (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Tourism & Hospitality (AREA)
- General Business, Economics & Management (AREA)
- Remote Sensing (AREA)
- Analytical Chemistry (AREA)
- Traffic Control Systems (AREA)
Abstract
The invention discloses a resident trip path distribution and road network visualization method based on mobile phone signaling data, which relates to the field of transportation and planning, and comprises the steps of constructing a two-dimensional coordinate system of an urban road network, and dividing road sections and nodes; dividing an urban road network area into a plurality of traffic cells; calculating the travel total amount among all traffic cells; determining adjacent nodes of each traffic cell, and distributing travel total amount at travel starting points and nodes; calculating the travel amount distribution relation between each starting point node and each terminal point node, and distributing the travel amount on a plurality of travel paths; and carrying out road section travel amount summarizing calculation and visual display of road network travel amount. The method has the advantages that resident travel OD data are distributed on all paths of the urban road network, the travel amount of all single road sections of the urban road network in a certain time range can be calculated, and the travel amount distribution of all the single road sections can be displayed in a visual mode to further guide the planning of the urban public transportation network.
Description
Technical field:
the invention relates to the field of transportation and planning, in particular to a resident trip path distribution and road network visualization method based on mobile phone signaling data.
The background technology is as follows:
the mobile phone signaling data is a big data source which is newly generated in recent years, and the main acquisition mode of the mobile phone signaling data is that the mobile phone signaling data is obtained by means of real-time positioning of mobile phone terminals by communication base stations distributed in various areas of cities and towns, unique codes, time and position information of each mobile phone terminal in the coverage area of the base stations are obtained, and trip OD data (OD' represents trip Origin and Destination) of mobile terminal users are further obtained according to the moving track data of the mobile phone terminals. Compared with other types of data, the mobile phone signaling data has the characteristics of high instantaneity, integrity and space-time coverage rate, and has wide application prospect in the field of urban traffic travel prediction and urban traffic planning.
The existing related researches focus on resident trip OD identification based on mobile phone signaling data, electric police bayonet data and GPS positioning data, and distribution of resident trip paths and visual display of trip paths are not further achieved, such as application CN201510854841.3; a few applications further study visual display of the travel OD, but only aim at visual display of the travel total amount between the travel starting point and the travel ending point of each traffic district, and do not further study distribution of the travel total amount among a plurality of travel paths inside the travel OD point and perform visual display, for example, application CN202110351594.0.
The invention comprises the following steps:
in order to overcome the defects of the prior art, the main purpose of the invention is to provide a method for visually displaying travel path distribution among traffic cells and travel path distribution based on mobile phone signaling data, wherein the data analysis result can be used for guiding urban public transport network planning, so that resident travel OD data are distributed on each path of an urban road network; the travel amount of each single road section of the urban road network in a certain time range can be calculated, and the travel amount distribution of each single road section can be displayed in a visual mode to further guide the planning of the urban public transportation network.
The technical scheme of the invention is as follows:
the resident trip path distribution and road network visualization method based on the mobile phone signaling data comprises the following steps:
S 1 constructing a two-dimensional coordinate system of the urban road network, and dividing road sections and nodes;
S 2 dividing an urban road network sheet area into a plurality of traffic cells;
S 3 calculating the travel total amount among all traffic cells;
S 4 determining adjacent nodes of each traffic cell, and distributing travel total amount at travel starting points and nodes;
S 5 calculating the travel amount distribution relation between each starting point node and each end point node, and distributing the travel amount on a plurality of travel paths;
S 6 and carrying out road section travel amount summarizing calculation and visual display of road network travel amount.
The resident trip path distribution and road network visualization method based on the mobile phone signaling data is implemented in S 1 Determining the range of the urban road net area according to the urban road net electronic map, and converting the urban road net area into a two-dimensional rectangular coordinate system by taking a coordinate point of the left lower corner of the urban road net as a coordinate origin; at S 1 The intersection and the road end node in the urban road network are used as road network nodes, and the road sections between the intersection and between the intersection and the road end node are used as road network sections.
The resident trip path distribution and road network visualization method based on the mobile phone signaling data is implemented in S 1 When the road section between two intersections exceeds 500 meters, the road section is uniformly and equally divided into a plurality of single road sections, the lengths of the single road sections are guaranteed to be smaller than 500 meters, road section boundary points form new road network nodes, and the generated plurality of single road sections form new road network sections, namely, an urban road network is divided into a plurality of road sections and a plurality of nodes.
The resident trip path distribution and road network visualization method based on the mobile phone signaling data is implemented in S 2 And picking up coordinate points of the left lower corner of the road network and the right upper corner of the road network under the two-dimensional rectangular coordinate system, and determining the length and width range of the urban road network.
The resident trip path distribution and road network visualization method based on the mobile phone signaling data is implemented in S 2 In the method, an urban road net sheet area is divided into a plurality of grids with the length and the width of 500 meters, the remaining grids with the length or the width of less than 500 meters are respectively formed into small grids, and each grid forms a traffic cell.
The resident trip path distribution and road network visualization method based on the mobile phone signaling data is implemented in S 3 In the method, each piece of travel starting point and end point data based on mobile phone signaling data is used as an original data source, travel starting point and end point longitude and latitude data are converted into coordinate positions under a two-dimensional coordinate system, a starting point traffic cell and an end point traffic cell to which each piece of travel starting point and end point data belong are calculated respectively, and further summarized calculation is carried outTotal travel amount among all traffic cells.
According to the resident travel path distribution and road network visualization method based on the mobile phone signaling data, the travel starting and ending point longitude and latitude data are subjected to a coordinate position algorithm under a two-dimensional coordinate system:
X＝111×Δɑ×cosβ，
Y＝111×Δβ
wherein Deltaalpha and Deltabeta respectively represent the difference value between the starting and ending points of each trip and the longitude and latitude of the origin of coordinates, and beta represents the latitude value of the starting and ending point of each trip.
The resident trip path distribution and road network visualization method based on the mobile phone signaling data is implemented in S 4 Taking the central point of the travel starting point traffic cell as a travel starting point, and reversely distributing the travel total quantity from the starting point traffic cell to the end point traffic cell to a plurality of adjacent starting point nodes according to the distance by taking the travel starting point as a reference position; and determining a plurality of adjacent destination nodes by taking the central point of the traffic district at the travel destination as the travel destination and taking the travel destination as a reference position, wherein the adjacent starting point nodes and the adjacent destination nodes refer to road network nodes without other road section obstruction in a certain distance range near the central point of the traffic district.
The resident trip path distribution and road network visualization method based on the mobile phone signaling data is implemented in S 5 Respectively calculating the length of the shortest path between each travel starting point node and each travel ending point node, and reversely distributing travel quantity according to the length of the shortest path between the travel starting point node and the travel ending point node; and further calculating the lengths of the shortest paths from each travel starting point node to the travel ending point nodes, and reversely distributing the travel quantity between the travel starting point nodes and the corresponding travel ending point nodes according to the respective path length.
The resident trip path distribution and road network visualization method based on the mobile phone signaling data is implemented in S 6 In the method, the total travel amount of each road section is calculated according to the travel amounts distributed by each traffic cell, each travel starting and ending point node and each travel path, and different colors are respectively endowed according to the total travel amount of each road section to complete road network travel amountSmall visual displays.
Compared with the prior art, the invention has the following advantages:
1. the invention uses the coordinate point of the left lower corner of the urban road network as the origin of coordinates to convert the electronic map of the urban road network into a rectangular coordinate system under two-dimensional coordinates, and divides the urban road network into a plurality of road sections and a plurality of nodes according to the characteristic of the urban road network and the limiting condition that the road section length is not more than 500 meters, which is practical;
2. the method picks up coordinate points of the left lower corner and the right upper corner of the urban road network to determine the size of an urban area, and uniformly divides the urban road network into a plurality of traffic cells by rectangles with the length and the width of 500 meters;
3. according to the method, each piece of trip OD data based on mobile phone signaling data is used as an original data source, and the trip total amount between traffic cells is calculated in a summarizing mode;
4. the method comprises the steps of taking a central point of a travel starting point traffic cell as a travel O point, taking the O point as a reference position, reversely distributing the total traffic quantity of the starting point traffic cell to a plurality of adjacent starting point nodes according to distance, taking the central point of a travel terminal point traffic cell as a travel D point, and taking the D point as a reference position to determine a plurality of adjacent terminal point nodes;
5. according to the invention, the reverse distribution of the travel quantity between the travel starting point nodes and the travel destination nodes is completed according to the distance relation of the shortest paths between the travel starting point nodes and the travel destination nodes, and the reverse distribution of the travel quantity of the travel starting point nodes and the travel destination nodes in multiple paths is further completed according to the distance relation of the travel paths between the travel starting point nodes and the travel destination nodes;
6. according to the travel amount data distributed by each path, respectively summarizing and calculating the total travel amount of each of a plurality of road sections, and respectively endowing different colors according to the total travel amount of each road section to complete the visual display of the travel amount of the road network;
7. compared with the existing calculation, the method has the advantages that the data analysis result can be used for guiding the planning of the urban public transport network, and the distribution of the resident trip OD data on each path of the urban road network is realized; the travel amount of each single road section of the urban road network in a certain time range can be calculated, and the travel amount distribution of each single road section can be displayed in a visual mode to further guide the planning of the urban public transportation network.
Description of the drawings:
FIG. 1 is a flow chart of a visualization method of the present invention.
Fig. 2 is a schematic diagram of road section and node division performed under a two-dimensional rectangular coordinate system of the urban road network.
Fig. 3 is a schematic diagram of urban road network traffic cell division according to the present invention.
Fig. 4 is a schematic diagram of total trip calculation between cells.
Fig. 5 is a schematic diagram of a method for determining a neighboring node of a traffic cell.
Fig. 6 shows the distribution of the travel amount according to the distance between the paths in the opposite direction.
Fig. 7 is a schematic diagram showing the traffic of the road network in a visual manner.
The specific embodiment is as follows:
the following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments.
A resident trip path distribution and road network visualization method based on mobile phone signaling data comprises the following steps:
S 1 constructing a two-dimensional coordinate system of the urban road network, and dividing road sections and nodes;
S 2 dividing an urban road network sheet area into a plurality of traffic cells;
S 3 calculating the travel total amount among all traffic cells;
S 4 determining adjacent nodes of each traffic cell, and distributing travel total amount at travel starting points and nodes;
S 5 calculating the travel amount distribution relation between each starting point node and each end point node, and distributing the travel amount on a plurality of travel paths;
S 6 carrying out road section travel quantity summarizing calculation and road network travelVisual display of the quantity.
At S 1 According to the urban road network electronic map, determining the range of the urban road network area, and converting the urban road network area into a two-dimensional rectangular coordinate system by taking a coordinate point of the left lower corner of the urban road network as a coordinate origin; at S 1 The intersection and the road end node in the urban road network are used as road network nodes, and the road sections between the intersection and between the intersection and the road end node are used as road network sections.
At S 1 When the road section between two intersections exceeds 500 meters, uniformly dividing the road section into a plurality of single road sections, ensuring that the length of each single road section is less than 500 meters, forming a new road network node by the road section boundary points, and forming a new road network section by the generated plurality of single road sections, namely dividing the urban road network into a plurality of road sections and a plurality of nodes;
at S 2 And picking up coordinate points of the left lower corner of the road network and the right upper corner of the road network under a two-dimensional rectangular coordinate system, and determining the length and width range of the urban road network.
At S 2 Dividing the urban road net sheet area into a plurality of grids with the length and the width of 500 meters, respectively forming small grids in the grid sheet areas with the residual length or the width of less than 500 meters, and forming a traffic cell by each grid;
at S 3 And the travel starting point-end point data is converted into coordinate positions under a two-dimensional coordinate system based on each single travel starting point-end point data of the mobile phone signaling data as an original data source, the starting point traffic cells and the end point traffic cells of each single travel starting point-end point data are respectively calculated, and the travel total amount among the traffic cells is further summarized and calculated.
Coordinate position algorithm of travel starting and ending point longitude and latitude data under a two-dimensional coordinate system:
X＝111×Δɑ×cosβ，
Y＝111×Δβ
wherein Deltaalpha and Deltabeta respectively represent the difference value between the starting and ending points of each trip and the longitude and latitude of the origin of coordinates, and beta represents the latitude value of the starting and ending point of each trip.
At S 4 The central point of the travel starting point traffic cell is taken asThe travel starting point is taken as a reference position, and the travel total amount from the starting point traffic cell to the end point traffic cell is reversely distributed to a plurality of adjacent starting point nodes according to the distance; and determining a plurality of adjacent destination nodes by taking the central point of the traffic district at the travel destination as the travel destination and taking the travel destination as a reference position, wherein the adjacent starting point nodes and the adjacent destination nodes refer to road network nodes without other road section obstruction in a certain distance range near the central point of the traffic district.
At S 5 Respectively calculating the length of the shortest path between each travel starting point node and each travel end point node, and reversely distributing travel quantity according to the length of the shortest path between the travel starting point node and the travel end point node; and further calculating the lengths of the shortest paths from each travel starting point node to the travel ending point nodes, and reversely distributing the travel quantity between the travel starting point nodes and the corresponding travel ending point nodes according to the respective path length.
At S 6 According to the travel amounts distributed by each traffic cell, each travel starting and ending point node and each travel path, the respective travel total amounts of each road section are respectively summarized and calculated, and visual display of the travel amounts of the road network is completed by respectively giving different colors according to the travel total amounts of each road section.
In the actual working process, the invention adopts the following specific steps:
as shown in FIG. 1, the present application mainly includes S 1 ～S 6 A total of 6 treatments.
The above 6 processes are described in further detail below in conjunction with fig. 2-7.
Fig. 2 shows a schematic diagram of two-dimensional rectangular coordinate system construction and road section and node division of the urban road network. And determining the range of the urban road net area according to the urban road net electronic map, and converting the urban road net area into a two-dimensional rectangular coordinate system by taking a coordinate point (O point in the figure) of the lower left corner of the urban road net area as a coordinate origin. Taking an intersection (for example, a point A in the figure) and a road end node (for example, a point B in the figure) in the urban road network as urban road network nodes, and taking road sections between the intersection and between the intersection and the road end node as road network sections (for example, an AB section in the figure); in addition, in order to ensure that road network nodes and road sections are sufficiently fine, aiming at the condition that the road section between two intersections exceeds 500 meters, the road section is uniformly and equally divided into a plurality of single road sections, so that the lengths of the single road sections are less than 500 meters, road section boundary points form new road network nodes, the generated plurality of single road sections form new road network sections (for example, the distance between two nodes of a CD in a diagram is 900 meters (more than 500 meters), the road section between two points of the CD is uniformly divided into two parts to form new road network nodes F, and the new road network sections CF and FD (the lengths are 450 meters)). Dividing the urban road network into m road sections and n nodes;
as shown in fig. 3, a schematic diagram of urban road network traffic cells is divided. And picking up coordinate points of the lower left corner (O point in the figure) and the upper right corner (E point in the figure) of the road network under the two-dimensional rectangular coordinate system, and determining the length and width range of the urban road network. In order to conduct detail study on the travel characteristics of residents in each small-sized patch area, dividing the urban road net area into a plurality of rectangular grids with the length and the width of 500 meters, respectively forming the small-sized grids in the rectangular patch areas with the residual length or the width of less than 500 meters, and forming a traffic cell to be studied in each grid;
as shown in the following table, the OD data table structure of each single trip based on the mobile phone signaling data is studied in the application. The method comprises the steps of field travel numbers, travel starting point time, travel starting point longitude, travel starting point latitude, travel end point time, travel end point longitude and travel end point latitude. And converting longitude and latitude coordinate points in the travel OD data into coordinate points in a two-dimensional rectangular coordinate system with a left lower corner coordinate point of an urban road network as an origin by using a coordinate conversion formula X=111×delta alpha×cos beta, wherein delta alpha and delta beta respectively represent differences between the travel starting end point and the longitude and latitude of the coordinate origin, beta represents the latitude value of the travel starting end point, and traffic cells to which the travel starting point and the travel end point in the travel OD data belong can be calculated, so that the travel total amount among the traffic cells is further aggregated. (As shown in FIG. 5, the traffic cells in which the travel start point and the travel end point fall in each travel OD data can be calculated respectively, and the total travel amount between the traffic cells is further aggregated, as shown in the figureO 26 Cell to D 63 Total travel of the cell);
trip OD data table
As shown in fig. 5, a schematic diagram of traffic cell neighboring node division is shown. Taking the central point of the travel starting point traffic cell as a travel O point, and taking the O point as a reference position to reversely distribute the travel total quantity S from the travel starting point traffic cell (O cell in the figure) to the travel ending point traffic cell (D cell in the figure) to a plurality of adjacent starting point nodes O according to the distance 1 、O 2 、O 3 ....(o. in the figure 1 Total travel amount S distributed by nodes 1 Is that
Wherein OO is 1 、OO 2 、OO 3 、OO 4 Respectively from O point to O point 1 、O 2 、O 3 、O 4 The straight line distance among the four nodes takes the central point of the travel terminal traffic cell as a travel D point, and a plurality of adjacent terminal nodes D are determined by taking the D point as a reference position 1 、D 2 、D 3 .. the term "adjacent start node" and "adjacent end node" refer to road network nodes that have no other road segments blocked within a certain distance range near the center point of the traffic cell, and specifically are shown as nodes near O, D in the figure;
and the contents shown in fig. 5 and 6 are combined. Firstly, respectively calculating the length of the shortest path between each travel starting point node and travel destination node, and reversely distributing travel quantity, such as O, according to the length of the shortest path between the travel starting point node and the travel destination node 1 To D 1 Travel quantity S of (2) 11 Is that
Wherein O is 1 D 1 、O 1 D 2 、O 1 D 3 、O 1 D 4 、O 1 D 5 Respectively represent O 1 Node to D 1 、D 2 、D 3 、D 4 、D 5 The length of the shortest path of the node; further calculating the lengths of the top five shortest paths from each travel starting point node to the travel ending point node, and reversely distributing O according to the respective path lengths i To D j Amount of travel between each pair of rooms. As shown in FIG. 6, O 1 To D 1 And the path is L 1 The allocated travel quantity S 111 Is that
Wherein L is 1 (paths 1-5-11-15-19-23-24), L 2 (path is 1-2-6-12-16-20-24), L 3 (path is 1-2-3-7-13-17-21), L 4 (paths are 1-2-3-4-8-14-18-22-25), L 5 (paths 1-5-9-10-13-17-21) respectively represent O 1 To D 1 The length of the shortest path of the top five ranks;
as shown in fig. 7, a schematic diagram is shown for visualizing the road network trip amount. And respectively summarizing and calculating the total travel amount of each of m road sections according to the calculated travel amounts distributed by each traffic cell, each travel starting and ending point node and each travel path, and respectively endowing different colors according to the total travel amount of each road section to complete the visual display of the road network travel amount.
Compared with the existing calculation, the method has the advantages that resident travel OD data are distributed on each path of the urban road network, the travel amount of each single road section of the urban road network in a certain time range can be calculated, and the travel amount distribution of each single road section is displayed in a visual mode, so that planning of the urban public transport network can be further guided.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (10)
1. The resident trip path distribution and road network visualization method based on the mobile phone signaling data is characterized by comprising the following steps:
S 1 constructing a two-dimensional coordinate system of the urban road network, and dividing road sections and nodes;
S 2 dividing an urban road network sheet area into a plurality of traffic cells;
S 3 calculating the travel total amount among all traffic cells;
S 4 determining adjacent nodes of each traffic cell, and distributing travel total amount at travel starting points and nodes;
S 5 calculating the travel amount distribution relation between each starting point node and each end point node, and distributing the travel amount on a plurality of travel paths;
S 6 and carrying out road section travel amount summarizing calculation and visual display of road network travel amount.
2. The resident trip path distribution and road network visualization method based on mobile phone signaling data according to claim 1, wherein in S 1 Determining the range of the urban road net area according to the urban road net electronic map, and converting the urban road net area into a two-dimensional rectangular coordinate system by taking a coordinate point of the left lower corner of the urban road net as a coordinate origin; at S 1 The intersection and the road end node in the urban road network are used as road network nodes, and the road sections between the intersection and between the intersection and the road end node are used as road network sections.
3. The resident trip path distribution and road network visualization method based on mobile phone signaling data according to claim 1 or 2, characterized in that in S 1 When the road section between two intersections exceeds 500 meters, the road section is uniformly and equally divided into a plurality of single road sections, the lengths of the single road sections are guaranteed to be smaller than 500 meters, road section boundary points form new road network nodes, and the generated plurality of single road sections form new road network sections, namely, an urban road network is divided into a plurality of road sections and a plurality of nodes.
4. The substrate according to claim 1Resident trip path distribution and road network visualization method based on mobile phone signaling data, which is characterized in that in S 2 And picking up coordinate points of the left lower corner of the road network and the right upper corner of the road network under the two-dimensional rectangular coordinate system, and determining the length and width range of the urban road network.
5. The resident trip path distribution and road network visualization method based on the mobile phone signaling data according to claim 4, wherein in S 2 In the method, an urban road net sheet area is divided into a plurality of grids with the length and the width of 500 meters, the remaining grids with the length or the width of less than 500 meters are respectively formed into small grids, and each grid forms a traffic cell.
6. The resident trip path distribution and road network visualization method based on mobile phone signaling data according to claim 1, wherein in S 3 Based on the mobile phone signaling data, each single trip starting point and end point data are used as an original data source, the longitude and latitude data of the trip starting point and the trip end point are converted into coordinate positions under a two-dimensional coordinate system, a starting point traffic cell and an end point traffic cell to which each single trip starting point and end point data belong are respectively calculated, and trip total amounts among the traffic cells are further summarized and calculated.
7. The resident trip path distribution and road network visualization method based on mobile phone signaling data according to claim 6, wherein the trip start point longitude and latitude data is subjected to a coordinate position algorithm under a two-dimensional coordinate system:
X＝111×Δɑ×cosβ，
Y＝111×Δβ
wherein Deltaalpha and Deltabeta respectively represent the difference value between the starting and ending points of each trip and the longitude and latitude of the origin of coordinates, and beta represents the latitude value of the starting and ending point of each trip.
8. The resident trip path distribution and road network visualization method based on mobile phone signaling data according to claim 1, wherein in S 4 In the method, a central point of a travel starting point traffic cell is taken as a travel starting point, andthe travel starting point is used as a reference position, and the travel total amount from the starting point traffic cell to the end point traffic cell is reversely distributed to a plurality of adjacent starting point nodes according to the distance; and determining a plurality of adjacent destination nodes by taking the central point of the traffic district at the travel destination as the travel destination and taking the travel destination as a reference position, wherein the adjacent starting point nodes and the adjacent destination nodes refer to road network nodes without other road section obstruction in a certain distance range near the central point of the traffic district.
9. The resident trip path distribution and road network visualization method based on mobile phone signaling data according to claim 1, wherein in S 5 Respectively calculating the length of the shortest path between each travel starting point node and each travel ending point node, and reversely distributing travel quantity according to the length of the shortest path between the travel starting point node and the travel ending point node; and further calculating the lengths of the shortest paths from each travel starting point node to the travel ending point nodes, and reversely distributing the travel quantity between the travel starting point nodes and the corresponding travel ending point nodes according to the respective path length.
10. The resident trip path distribution and road network visualization method based on mobile phone signaling data according to claim 1, wherein in S 6 And according to the travel amounts distributed by each traffic cell, each travel starting and ending point node and each travel path, respectively summarizing and calculating the respective travel total amount of each road section, and respectively endowing different colors according to the travel total amount of each road section to complete the visual display of the travel amount of the road network.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211648494.5A CN116052415A (en) | 2022-12-21 | 2022-12-21 | Resident trip path distribution and road network visualization method based on mobile phone signaling data |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211648494.5A CN116052415A (en) | 2022-12-21 | 2022-12-21 | Resident trip path distribution and road network visualization method based on mobile phone signaling data |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN116052415A true CN116052415A (en) | 2023-05-02 |
Family
ID=86122841
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211648494.5A Pending CN116052415A (en) | 2022-12-21 | 2022-12-21 | Resident trip path distribution and road network visualization method based on mobile phone signaling data |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116052415A (en) |
-
2022
- 2022-12-21 CN CN202211648494.5A patent/CN116052415A/en active Pending
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN103996089B (en) | Based on the transmission line of electricity optimal path generation method of GIS | |
| CN106909692B (en) | Method for calculating urban public facility coverage radiation index | |
| CN103984997B (en) | Power transmission engineering addressing selection method based on GIS spatial informations | |
| CN102129484B (en) | Method and device for generating digitalized flat cross-section diagram of transmission line | |
| CN104865353A (en) | Atmospheric pollution data acquisition method for industrial park based on unmanned aerial vehicle | |
| CN105760454A (en) | Method for dynamically measuring distribution density of city population in real time | |
| CN104599069A (en) | Power transmission line route planning method based on environment factors and geographic features | |
| CN101976424A (en) | Method for generating power system polluted region distribution map by utilizing intelligent rule base engine | |
| CN109146360B (en) | Grid establishing method and device and distribution method and device | |
| CN114418215A (en) | Smart city power transmission line planning method based on artificial intelligence | |
| CN107480808A (en) | A kind of High aititude mountain area diversion works layout of roads method | |
| CN104331847A (en) | Power supply zone partitioning method by use of Delaunay triangulation | |
| CN106951453A (en) | A kind of geographical entity coding method of quick renewal and data sharing | |
| CN115062682A (en) | Target function area identification method, device, storage medium and equipment | |
| CN102610111A (en) | Method and device for generating and providing traffic information sketch | |
| CN103177650B (en) | Simple digital map manufacturing method based on aerial photo | |
| CN102081657B (en) | Network-based satellite cloud picture positioning method | |
| CN109710994A (en) | Airport obstacle limitation surface based on digital earth transfinites analysis method | |
| CN104123671B (en) | Meteorological reference station partition method | |
| CN116052415A (en) | Resident trip path distribution and road network visualization method based on mobile phone signaling data | |
| CN114862292A (en) | Method and system for measuring and calculating town-level spatial condition data based on geographic information | |
| CN115758532A (en) | Grid net type urban road network artificial intelligence automatic generation method | |
| CN114936730A (en) | Disaster damage assessment system for disaster-affected area | |
| CN112163056A (en) | Ground object insertion method based on path diagram | |
| Špica et al. | Road infrastructure planning using digital geospatial data |
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 |