CN109345434A - A kind of method of open cell inside and outside highway layout safety evaluation - Google Patents
A kind of method of open cell inside and outside highway layout safety evaluation Download PDFInfo
- Publication number
- CN109345434A CN109345434A CN201811285635.5A CN201811285635A CN109345434A CN 109345434 A CN109345434 A CN 109345434A CN 201811285635 A CN201811285635 A CN 201811285635A CN 109345434 A CN109345434 A CN 109345434A
- Authority
- CN
- China
- Prior art keywords
- cell
- road
- road network
- survey area
- traffic safety
- 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.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 23
- 238000011156 evaluation Methods 0.000 title claims abstract description 20
- 238000004458 analytical method Methods 0.000 claims abstract description 43
- 238000011160 research Methods 0.000 claims abstract description 16
- 238000004445 quantitative analysis Methods 0.000 claims abstract description 8
- 238000012216 screening Methods 0.000 claims abstract description 5
- 230000008080 stochastic effect Effects 0.000 claims abstract description 5
- 230000004069 differentiation Effects 0.000 claims abstract description 4
- 230000001419 dependent effect Effects 0.000 claims description 4
- 238000013210 evaluation model Methods 0.000 claims description 3
- 238000011835 investigation Methods 0.000 claims description 3
- 230000032798 delamination Effects 0.000 abstract description 5
- 238000010276 construction Methods 0.000 abstract description 2
- 230000000694 effects Effects 0.000 abstract description 2
- 238000010586 diagram Methods 0.000 description 2
- 206010039203 Road traffic accident Diseases 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000015572 biosynthetic process Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000007726 management method Methods 0.000 description 1
- 230000004089 microcirculation Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000001737 promoting effect Effects 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
Classifications
-
- 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
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/22—Social work or social welfare, e.g. community support activities or counselling services
Landscapes
- Business, Economics & Management (AREA)
- Tourism & Hospitality (AREA)
- Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Physics & Mathematics (AREA)
- General Health & Medical Sciences (AREA)
- Human Resources & Organizations (AREA)
- Marketing (AREA)
- Child & Adolescent Psychology (AREA)
- Strategic Management (AREA)
- Economics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Traffic Control Systems (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a kind of method of open cell inside and outside highway layout safety evaluation, include the following steps: that (1) divides survey area and data acquisition；(2) research object is screened；(3) road network Form division and differentiation；(4) Traffic Safety Analysis model construction；(5) Evaluation of Traffic Safety.The invention has the benefit that there is the region of similar road network feature and land used feature as research object with open cell by screening, utilize influence caused by cell of full Bayes's space delamination model research highway layout for different road network forms, on the basis of stochastic error, it introduces and considers that the stochastic effects item of cell spatial coherence exists, it is contemplated that the convergent effect of cell spatially.In addition, model carries out quantitative analysis and grade classification to traffic safety level of the cell after open, scientific and effective method is provided for the open traffic safety risk identification of cell and traffic safety assessment of levels.
Description
Technical field
The present invention relates to road traffic technical fields, more particularly to a kind of open cell inside and outside highway layout safety
The method of evaluation.
Background technique
With the fast development of Chinese national economy and the quickening of urbanization process, the traffic jam issue day in some cities
It is beneficial serious.China's urban road network unreasonable structure is the main reason for causing this problem not solve effectively.For a long time with
Come, due to the limitation of Planning thought and management system, there are many closed cells of large size in China city, these cells are certain
The formation of city microcirculation road network is hindered in degree, cut urban transportation, increases the pressure of urban road network.It solves
Arterial street traffic congestion, it is crucial for promoting house block system and gradually opening built residential quarters and Unit Yard.And
It is the traffic safety for how ensureing open cell in the greatest problem for carrying out being faced during cell is open.
It is different to have had a mature open block road network safety program Research foundation from foreign countries, open cell this without exception
It reads in China still in the stage of popularization.Either in scientific research field or patent application field, based on open cell
Often using topological theory and traffic flow theory etc. to Road Network Reliability, access and traffic congestion etc. is divided for research
Analysis, in terms of road network safety evaluation, more particularly, to open cell inside and outside highway layout safety evaluation research still
Quite lack.For this social actual demand and the insufficient contradiction of theoretical research, the invention proposes a kind of open cells
The method of inside and outside highway layout safety evaluation.
Summary of the invention
To solve the above problems, the present invention provides a kind of open cell inside and outside highway layout safety evaluation
Method, quantitative analysis can be carried out to the level of security of open cell inside and outside highway layout, and to its traffic safety water
It is flat to carry out grade classification, for this purpose, the present invention provides a kind of side of open cell inside and outside highway layout safety evaluation
Method includes the following steps:
(1) survey area and data acquisition are divided: using major trunk roads and subsidiary road as boundary, region being divided, is selected
Area is selected greater than 0.5km2Region as survey area, using major trunk roads, subsidiary road and branch as road network in survey area
The side of network, road junction and dead end highway endpoint carry out data acquisition, including residential land accounting p as noder, road mileage
dr, main roads ratio PA, secondary road ratio PS, the number of edges E of network, number of nodes N, the degree k of node nn, node i and j away from
From dij, shortest path number k between nodeij, road network connection degree is from c, section speed limit vL, road section length l, the external access item number of cell
CE, accident number A, volume of traffic q；
(2) research object is screened: introducing screening index, selection meets residential land accounting and is greater than 25%, road mileage 8
~12km/km2, and survey area of the connection degree greater than 1.6 and utilizes (1) as research object, i.e. Traffic Safety Analysis cell
Middle the data obtained calculates the road network characteristic variable of each Traffic Safety Analysis cell and its adjacent survey area, including node
The shortest path number k of node n is passed through between i and jinj, Betweenness Centrality Bn, close to centrality Cn, grid coefficient M；
(3) road network Form division and differentiation: by main roads ratio PA, secondary road ratio PS, Betweenness Centrality
Bn, close to centrality Cn, grid coefficient M is as clustering variable, using the method for K-means cluster by all Traffic Safety Analysis
The road network Form division of cell and its adjacent survey area is g class, is expressed as Rf(f=1,2,3 ..., g).According to cluster result,
Its road network form is differentiated by the method for Bayesian, and the highest network morphology of discriminant scores is the region
Road network form, SfIndicate the discriminant scores of f class road network form, soIndicate constant term, skIndicate clustering variable coefficient, Xk
Indicate clustering variable, corresponding discriminant function are as follows:
(4) evaluation model selects and parameter calibration: using the accident rate of traffic analysis cell as dependent variable, taking full pattra leaves
This space delamination model carries out Traffic Safety Analysis, and I indicates the sum of the survey area adjacent with traffic analysis cell, Nf(f=
1,2,3 ..., g) indicate the R adjacent with traffic analysis cellfThe quantity of class survey area, CEIndicate that external access item number, K indicate
The section collection of survey area, VLIndicate that traffic analysis cell and the overall average speed limit of adjacent survey area are poor, α is constant term, εi
Indicate stochastic error, uiThe stochastic effects item of representation space correlation, βnFor regression vector coefficient, to inhomogeneity road network
The traffic analysis cell of form establishes Traffic Safety Analysis model respectively；
(5) Evaluation of Traffic Safety: road network Form division is carried out to cell, cell is opened using the model of corresponding road network form
Traffic safety level after putting carries out quantitative analysis, and obtains the total distributed situation of all cell expectation accident rates, according to model
Characteristic translated respectively downwards upwards with it is expected line centered on accident rate μA unit is as upper lower control limit, by cell
The traffic safety of inside and outside highway layout is divided horizontally into level Four: I, II, III, IV.
Further improvement of the present invention, the degree k of step (1) interior joint nnRefer to adjacent with node n in the survey area
Number of edges, Connected degree refer to the ratio of road connection quantity and road number of nodes in the survey area.
A kind of method of open cell inside and outside highway layout safety evaluation of the present invention, by choose with it is existing closed
Cell has the region of similar land character as research object, studies highway layout pair using full Bayes's space delamination model
The influence caused by the cell of different road network forms introduces on the basis of stochastic error and considers cell spatial coherence
Stochastic effects item exist, it is contemplated that the convergent effect of open cell spatially.In addition, model opens existing closed type through cutting
Traffic safety level after putting carries out quantitative analysis and grade classification, is the traffic safety risk identification and traffic of open cell
Level of security evaluation provides scientific and effective method.
Detailed description of the invention
Fig. 1 is Traffic Safety Analysis result and safety evaluation grade classification schematic diagram of the invention.
Fig. 2 is method flow schematic diagram of the invention.
Specific embodiment
Present invention is further described in detail with specific embodiment with reference to the accompanying drawing:
The present invention provides a kind of method of open cell inside and outside highway layout safety evaluation, can be to open cell
The level of security of inside and outside highway layout carries out quantitative analysis, and carries out grade classification to its traffic safety level.
As illustrated in fig. 1 and 2, a method of determining that through street fixed point tachymeter influences traffic accident quantity, including
Following steps:
(1) survey area and data acquisition are divided: by local transit department and the investigation of traffic police office and acquisition road network information
And Land-use divides region using major trunk roads and subsidiary road as boundary, and area is selected to be greater than 0.5km2Area
Domain is as survey area.Using major trunk roads, subsidiary road and branch as the side of road network in survey area, road junction and disconnected
Parting endpoint carries out data acquisition, including residential land accounting p as noder, road mileage dr, main roads ratio PA, secondary
Road ratio PS, the number of edges E of network, number of nodes N, the degree k of node nn, node i and j distance dij, shortest path between node
Number kij, road network connection degree c, section speed limit vL, road section length l, the external access item number C of cellE, accident number A, volume of traffic q.
(2) research object is screened: introducing screening index, selection meets residential land accounting and is greater than 25%, road mileage 8
~12km/km2, and survey area of the connection degree greater than 1.6 is as research object, i.e. Traffic Safety Analysis cell.And utilize (1)
Middle the data obtained calculates the road network characteristic variable of each Traffic Safety Analysis cell and its adjacent survey area, including node
The shortest path number k of node n is passed through between i and jinj, Betweenness Centrality Bn, close to centrality Cn, grid coefficient M.
(3) road network Form division and differentiation: by main roads ratio PA, secondary road ratio PS, Betweenness Centrality
Bn, close to centrality Cn, grid coefficient M is as clustering variable, using the method for K-means cluster by all Traffic Safety Analysis
The road network Form division of cell and its adjacent survey area is g class, is expressed as Rf(f=1,2,3 ..., g).According to cluster result,
Its road network form is differentiated by the method for Bayesian, and the highest network morphology of discriminant scores is the region
Road network form, SfIndicate the discriminant scores of f class road network form, soIndicate constant term, skIndicate clustering variable coefficient, Xk
Indicate clustering variable, corresponding discriminant function are as follows:
(4) evaluation model selects and parameter calibration: using the accident rate of traffic analysis cell as dependent variable, taking full pattra leaves
This space delamination model carries out Traffic Safety Analysis.I indicates the sum of the survey area adjacent with traffic analysis cell, Nf(f=
1,2,3 ..., g) indicate the R adjacent with traffic analysis cellfThe quantity of class survey area, CEIndicate that external access item number, K indicate
The section collection of survey area, VLIndicate that traffic analysis cell and the overall average speed limit of adjacent survey area are poor, α is constant term, εi
Indicate stochastic error, uiThe stochastic effects item of representation space correlation, βnFor regression vector coefficient.To with inhomogeneity road network
The traffic analysis cell of form establishes Traffic Safety Analysis model respectively.
(5) Evaluation of Traffic Safety: road network Form division is carried out to cell, cell is opened using the model of corresponding road network form
Traffic safety level after putting carries out quantitative analysis, and obtains the total distributed situation of all cell expectation accident rates.According to model
Characteristic translated respectively downwards upwards with it is expected line centered on accident rate μA unit is as upper lower control limit, by cell
The traffic safety of inside and outside highway layout is divided horizontally into level Four: I, II, III, IV.
Illustrate the present invention with specific embodiment below.
1) divide survey area and data acquisition: by local transit department and traffic police office investigation with acquisition road network information and
Land-use divides region using major trunk roads and subsidiary road as boundary, and area is selected to be greater than 0.5km2Region
As survey area, each survey area sample number is zi.Using major trunk roads, subsidiary road and branch as road network in survey area
The side of network, road junction and dead end highway endpoint carry out data acquisition, the related data of obtained each survey area as node
As shown in table 1-1.
The survey area table 1-1 statistics of data acquisition table
2) research object is screened: introducing screening index, selection meets residential land accounting and is greater than 25%, road mileage 8
~12km/km2, and as research object, i.e., road connects survey area of the ratio greater than 1.6 of quantity and road number of nodes
Traffic Safety Analysis cell.
3) road network Form division: by main roads ratio PA, secondary road ratio PS, Betweenness Centrality Bn, close to centrality
Cn, grid coefficient M is as clustering variable, using the method for K-means cluster by all Traffic Safety Analysis cells and its adjacent
The road network Form division of survey area is g class, is expressed as Rf(f=1,2,3 ..., g).According to cluster result, sentenced by Bayes
The method that do not analyze differentiates its road network form, and the highest network morphology of discriminant scores is the road network shape in the region
State.
4) Traffic Safety Analysis model construction: the division result based on road network form, statistics and Traffic Safety Analysis cell
The quantity of the survey area of adjacent all kinds of road network forms, and obtain Traffic Safety Analysis cell according to the data in table 1-1 and hand over
The argument data table 1-2 of logical safety analysis model, using the accident rate of traffic analysis cell as dependent variable, using in table 1-2
Data, take full Bayes's space delamination model to the traffic analysis cell with different road network forms establish respectively traffic peace
Complete analysis model.
The adjacent survey area quantity of table 1-2 Traffic Safety Analysis cell acquires statistical form
5) Evaluation of Traffic Safety: carrying out road network Form division to cell, using the model of corresponding road network form to opening after
Traffic safety level carry out quantitative analysis, obtain the total distributed situation of all cells expectation accident rate.It is expected that accident rate is made
For center line, translate respectively downwards upwardsA unit pacifies the traffic of cell inside and outside highway layout as upper lower control limit
The full level Four that is divided horizontally into: I, II, III, IV.
Table 1-3 traffic safety hierarchical level divides table
The above described is only a preferred embodiment of the present invention, being not the limit for making any other form to the present invention
System, and made any modification or equivalent variations according to the technical essence of the invention, still fall within present invention model claimed
It encloses.
Claims (2)
1. a kind of method of open cell inside and outside highway layout safety evaluation, which comprises the steps of:
(1) survey area and data acquisition are divided: using major trunk roads and subsidiary road as boundary, region being divided, selects face
Product is greater than 0.5km2Region as survey area, using major trunk roads, subsidiary road and branch as road network in survey area
Side, road junction and dead end highway endpoint carry out data acquisition, including residential land accounting p as noder, road mileage dr, main
Want road ratio PA, secondary road ratio PS, the number of edges E of network, number of nodes N, the degree k of node nn, node i and j distance dij,
Shortest path number k between nodeij, road network connection degree is from c, section speed limit vL, road section length l, the external access item number C of cellE, thing
Therefore number A, volume of traffic q；
(2) research object is screened: introduce screening index, selection meets residential land accounting greater than 25%, and road mileage is 8~
12km/km2, and survey area of the connection degree greater than 1.6 and utilizes in (1) as research object, i.e. Traffic Safety Analysis cell
The data obtained calculates the road network characteristic variable of each Traffic Safety Analysis cell and its adjacent survey area, including node i
The shortest path number k of node n is passed through between jinj, Betweenness Centrality Bn, close to centrality Cn, grid coefficient M；
(3) road network Form division and differentiation: by main roads ratio PA, secondary road ratio PS, Betweenness Centrality Bn, connect
Nearly centrality Cn, grid coefficient M is as clustering variable, using the method for K-means cluster by all Traffic Safety Analysis cells
And its road network Form division of adjacent survey area is g class, is expressed as Rf(f=1,2,3 ..., g).According to cluster result, pass through
The method of Bayesian differentiates its road network form, and the highest network morphology of discriminant scores is the road in the region
Network morphology, SfIndicate the discriminant scores of f class road network form, soIndicate constant term, skIndicate clustering variable coefficient, XkIt indicates
Clustering variable, corresponding discriminant function are as follows:
(4) evaluation model selects and parameter calibration: using the accident rate of traffic analysis cell as dependent variable, taking full Bayes empty
Between hierarchical mode carry out Traffic Safety Analysis, I indicates the sum of the survey area adjacent with traffic analysis cell, Nf(f=1,2,
3 ..., g) indicate the R adjacent with traffic analysis cellfThe quantity of class survey area, CEIndicate that external access item number, K indicate investigation
The section collection in region, VLIndicate that traffic analysis cell and the overall average speed limit of adjacent survey area are poor, α is constant term, εiIt indicates
Stochastic error, uiThe stochastic effects item of representation space correlation, βnFor regression vector coefficient, to inhomogeneity road network form
Traffic analysis cell establish Traffic Safety Analysis model respectively；
(5) Evaluation of Traffic Safety: carrying out road network Form division to cell, after being opened using the model of corresponding road network form to cell
Traffic safety level carry out quantitative analysis, and the total distributed situation of all cells expectation accident rates is obtained, according to the spy of model
Property, it is expected line centered on accident rate μ, translate respectively downwards upwardsA unit is as upper lower control limit, inside and outside cell
The traffic safety of portion's highway layout is divided horizontally into level Four: I, II, III, IV.
2. a kind of method of open cell inside and outside highway layout safety evaluation according to claim 1, feature exist
In: the degree k of step (1) interior joint nnRefer to number of edges adjacent with node n in the survey area, Connected degree refers to the survey area
The ratio of interior road connection quantity and road number of nodes.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811285635.5A CN109345434B (en) | 2018-10-31 | 2018-10-31 | Method for evaluating design safety of external roads in open type community |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811285635.5A CN109345434B (en) | 2018-10-31 | 2018-10-31 | Method for evaluating design safety of external roads in open type community |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN109345434A true CN109345434A (en) | 2019-02-15 |
| CN109345434B CN109345434B (en) | 2020-08-28 |
Family
ID=65312981
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811285635.5A Expired - Fee Related CN109345434B (en) | 2018-10-31 | 2018-10-31 | Method for evaluating design safety of external roads in open type community |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109345434B (en) |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110414067A (en) * | 2019-07-01 | 2019-11-05 | 东南大学 | A method of considering that the cell inside and outside road of traffic safety is connected design |
| CN112751911A (en) * | 2020-12-15 | 2021-05-04 | 北京百度网讯科技有限公司 | Road network data processing method, device, equipment and storage medium |
| CN113449402A (en) * | 2021-06-22 | 2021-09-28 | 武汉大学 | Road network efficiency gain prediction method after broken road is opened |
| CN113920738A (en) * | 2021-10-26 | 2022-01-11 | 北京工业大学 | Urban trunk safety analysis model migration method based on different country merged data |
| CN117436677A (en) * | 2023-12-21 | 2024-01-23 | 福建省捷云软件股份有限公司 | Base layer grid management method and system |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1458340A (en) * | 2003-02-19 | 2003-11-26 | 赵强 | City space-time traffic plane |
| CN103366551A (en) * | 2012-04-05 | 2013-10-23 | 郭海锋 | Road traffic safety evaluation method |
| CN103680158A (en) * | 2013-10-14 | 2014-03-26 | 长沙理工大学 | Dynamic division method for control subarea based on C-mean fuzzy clustering analysis |
| US20170039306A1 (en) * | 2014-04-21 | 2017-02-09 | Hitachi, Ltd. | Traffic System Optimization Device |
| CN107248283A (en) * | 2017-07-18 | 2017-10-13 | 北京航空航天大学 | A kind of urban area road network evaluation of running status method of consideration section criticality |
| CN108538049A (en) * | 2017-03-03 | 2018-09-14 | 防城港市港口区思达电子科技有限公司 | Urban traffic congestion automatic identifying method |
-
2018
- 2018-10-31 CN CN201811285635.5A patent/CN109345434B/en not_active Expired - Fee Related
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1458340A (en) * | 2003-02-19 | 2003-11-26 | 赵强 | City space-time traffic plane |
| CN103366551A (en) * | 2012-04-05 | 2013-10-23 | 郭海锋 | Road traffic safety evaluation method |
| CN103680158A (en) * | 2013-10-14 | 2014-03-26 | 长沙理工大学 | Dynamic division method for control subarea based on C-mean fuzzy clustering analysis |
| US20170039306A1 (en) * | 2014-04-21 | 2017-02-09 | Hitachi, Ltd. | Traffic System Optimization Device |
| CN108538049A (en) * | 2017-03-03 | 2018-09-14 | 防城港市港口区思达电子科技有限公司 | Urban traffic congestion automatic identifying method |
| CN107248283A (en) * | 2017-07-18 | 2017-10-13 | 北京航空航天大学 | A kind of urban area road network evaluation of running status method of consideration section criticality |
Non-Patent Citations (2)
| Title |
|---|
| PIERRE-ANTOINE LAHAROTTE: ""Spatiotemporal Analysis of Bluetooth Data: Application to a Large Urban Network"", 《IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS》 * |
| 汪莹: ""基于安全服务水平的城市道路交叉口交通安全评价方法研究"", 《中国博士学位论文全文数据库 工程科技Ⅱ辑》 * |
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110414067A (en) * | 2019-07-01 | 2019-11-05 | 东南大学 | A method of considering that the cell inside and outside road of traffic safety is connected design |
| CN110414067B (en) * | 2019-07-01 | 2023-07-07 | 东南大学 | Method for designing intra-district and external road connection considering traffic safety |
| CN112751911A (en) * | 2020-12-15 | 2021-05-04 | 北京百度网讯科技有限公司 | Road network data processing method, device, equipment and storage medium |
| CN112751911B (en) * | 2020-12-15 | 2022-10-21 | 北京百度网讯科技有限公司 | Road network data processing method, device, equipment and storage medium |
| CN113449402A (en) * | 2021-06-22 | 2021-09-28 | 武汉大学 | Road network efficiency gain prediction method after broken road is opened |
| CN113449402B (en) * | 2021-06-22 | 2022-08-05 | 武汉大学 | Road network efficiency gain prediction method after broken road is opened |
| CN113920738A (en) * | 2021-10-26 | 2022-01-11 | 北京工业大学 | Urban trunk safety analysis model migration method based on different country merged data |
| CN113920738B (en) * | 2021-10-26 | 2023-04-21 | 北京工业大学 | Urban trunk security analysis model migration method based on different country merging data |
| CN117436677A (en) * | 2023-12-21 | 2024-01-23 | 福建省捷云软件股份有限公司 | Base layer grid management method and system |
| CN117436677B (en) * | 2023-12-21 | 2024-03-08 | 福建省捷云软件股份有限公司 | Base layer grid management method and system |
Also Published As
| Publication number | Publication date |
|---|---|
| CN109345434B (en) | 2020-08-28 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109345434A (en) | A kind of method of open cell inside and outside highway layout safety evaluation | |
| CN107248283B (en) | A kind of urban area road network evaluation of running status method considering section criticality | |
| CN104217250B (en) | A kind of urban rail transit new line based on historical data opens passenger flow forecasting | |
| CN104809112B (en) | A kind of city bus development level integrated evaluating method based on multi-source data | |
| CN105355049B (en) | A kind of highway evaluation of running status method based on macroscopical parent map | |
| CN107610469A (en) | A kind of day dimension regional traffic index forecasting method for considering multifactor impact | |
| CN108109382A (en) | A kind of congestion points based on composite network, congestion line, the discovery method of congestion regions | |
| CN104318773B (en) | A kind of traffic congestion assay method based on traffic congestion space-time total amount | |
| WO2023050955A1 (en) | Urban functional zone identification method based on function mixing degree and ensemble learning | |
| CN104464321A (en) | Intelligent traffic guidance method based on traffic performance index development trend | |
| CN106530709B (en) | A kind of user oriented freeway traffic index delivery system | |
| CN106503829A (en) | A kind of crowding Forecasting Methodology of the Urban Public Open Space based on multi-source data | |
| CN109859480B (en) | Congestion road section modeling and evaluating method based on complex network | |
| CN106530710B (en) | A kind of freeway traffic index forecasting method and system towards manager | |
| CN108734413A (en) | A kind of high ferro station road network evaluation method and device | |
| CN106971535A (en) | A kind of urban traffic blocking index calculating platform based on Floating Car GPS real time datas | |
| Yang et al. | An extended node-place model for comparative studies of transit-oriented development | |
| CN114219521B (en) | Sport center site selection evaluation method based on multi-source data | |
| Xu et al. | A novel algorithm for urban traffic congestion detection based on GPS data compression | |
| CN113342873A (en) | Refined population analysis unit division method based on city morphology and population convergence mode | |
| CN106652450B (en) | A kind of freeway traffic exponential number determines method | |
| Ma et al. | An interpretable analytic framework of the relationship between carsharing station development patterns and built environment for sustainable urban transportation | |
| CN111914052B (en) | Method and device for determining regional spatial incidence relation | |
| CN110111561A (en) | A kind of road network method for dynamically partitioning based on SOM-PAM clustering algorithm | |
| Fusco et al. | Taxonomy of contemporary urban forms in France: Towards an Urban Atlas through Multiple Fabric Assessment |
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 | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20200828 |