CN117273487B - Safety facility lifting method and system based on rural highway - Google Patents
Safety facility lifting method and system based on rural highway Download PDFInfo
- Publication number
- CN117273487B CN117273487B CN202311206163.0A CN202311206163A CN117273487B CN 117273487 B CN117273487 B CN 117273487B CN 202311206163 A CN202311206163 A CN 202311206163A CN 117273487 B CN117273487 B CN 117273487B
- Authority
- CN
- China
- Prior art keywords
- road
- traffic
- rural highway
- rural
- section
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 23
- 238000011835 investigation Methods 0.000 claims abstract description 31
- 238000011160 research Methods 0.000 claims abstract description 27
- 238000011156 evaluation Methods 0.000 claims abstract description 18
- 230000002776 aggregation Effects 0.000 claims abstract description 16
- 238000004220 aggregation Methods 0.000 claims abstract description 16
- 238000009826 distribution Methods 0.000 claims description 14
- 238000007726 management method Methods 0.000 claims description 12
- 239000011159 matrix material Substances 0.000 claims description 10
- 238000010276 construction Methods 0.000 claims description 9
- 238000004364 calculation method Methods 0.000 claims description 8
- 238000004458 analytical method Methods 0.000 claims description 7
- 238000012423 maintenance Methods 0.000 claims description 7
- 206010039203 Road traffic accident Diseases 0.000 claims description 6
- 239000010426 asphalt Substances 0.000 claims description 4
- 230000004888 barrier function Effects 0.000 claims description 4
- 239000000463 material Substances 0.000 claims description 4
- 206010047531 Visual acuity reduced Diseases 0.000 claims description 3
- 238000006243 chemical reaction Methods 0.000 claims description 3
- 238000001514 detection method Methods 0.000 claims description 3
- 238000007619 statistical method Methods 0.000 claims description 3
- 238000012800 visualization Methods 0.000 claims description 3
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 3
- 238000005303 weighing Methods 0.000 claims description 3
- 230000008520 organization Effects 0.000 claims description 2
- 230000007246 mechanism Effects 0.000 abstract description 3
- 238000010586 diagram Methods 0.000 description 10
- 238000004422 calculation algorithm Methods 0.000 description 7
- 230000006872 improvement Effects 0.000 description 5
- 238000012986 modification Methods 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- 230000008569 process Effects 0.000 description 3
- 230000006870 function Effects 0.000 description 2
- 238000002955 isolation Methods 0.000 description 2
- 238000003012 network analysis Methods 0.000 description 2
- 230000000737 periodic effect Effects 0.000 description 2
- 230000001681 protective effect Effects 0.000 description 2
- 238000012876 topography Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 239000004568 cement Substances 0.000 description 1
- 238000009430 construction management Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 238000002347 injection Methods 0.000 description 1
- 239000007924 injection Substances 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 238000012827 research and development Methods 0.000 description 1
- 238000000926 separation method Methods 0.000 description 1
- 238000004088 simulation Methods 0.000 description 1
- 238000012732 spatial analysis Methods 0.000 description 1
- 230000009897 systematic effect Effects 0.000 description 1
- 230000000007 visual effect Effects 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
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0637—Strategic management or analysis, e.g. setting a goal or target of an organisation; Planning actions based on goals; Analysis or evaluation of effectiveness of goals
-
- 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
-
- 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
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
-
- 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
- G06Q50/26—Government or public services
- G06Q50/265—Personal security, identity or safety
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/10—Internal combustion engine [ICE] based vehicles
- Y02T10/40—Engine management systems
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Human Resources & Organizations (AREA)
- Strategic Management (AREA)
- Economics (AREA)
- Theoretical Computer Science (AREA)
- Tourism & Hospitality (AREA)
- Entrepreneurship & Innovation (AREA)
- Educational Administration (AREA)
- General Physics & Mathematics (AREA)
- Development Economics (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Marketing (AREA)
- Quality & Reliability (AREA)
- Game Theory and Decision Science (AREA)
- Operations Research (AREA)
- Databases & Information Systems (AREA)
- Remote Sensing (AREA)
- Data Mining & Analysis (AREA)
- General Engineering & Computer Science (AREA)
- Computer Security & Cryptography (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Traffic Control Systems (AREA)
Abstract
The invention relates to the technical field of transportation, in particular to a safety facility lifting method based on rural highways, which comprises the steps of constructing a rural highway current situation investigation frame system; acquiring basic information of rural highway roads in a research area; acquiring rural highway traffic signs and basic safety facility information in a research area; calculating an aggregation coefficient and an average shortest path length of the regional road network skeleton by using a complex network theoretical model; establishing a rural highway safety level comprehensive evaluation system; and the rural highway traffic safety management is improved. The invention solves the problems of single research problem and lack of effective evaluation mechanism of the existing rural highway.
Description
Technical Field
The invention relates to the technical field of transportation, in particular to a rural highway-based safety facility lifting method and system.
Background
Current research on rural road modification can be roughly divided into three categories. The first is road alignment improvement, the second is safety related facility configuration, and the third is intelligent management and maintenance. The study of road alignment improvement has focused mainly on the interaction of road geometry parameters with driving behavior. The visual identifiability of different traffic signs is studied in the aspect of traffic safety facility configuration, the influence of sight distance, lane position, shielding rate, shape damage and installation parameters (height, angle, size and the like) on the traffic signs is analyzed, and a firm basis is provided for regulation modification. In terms of intelligent management and maintenance, various update techniques have been proposed or preliminarily applied. For providing effective information for travelers, a rural road traffic distribution prediction method based on an integrated learning process (ELP) is provided.
The improvement and optimization of rural highways is a systematic task, and most research is focused on a specific aspect, such as sign recognition or road maintenance. The current gap is how to effectively evaluate the condition of different rural roads and correctly take corresponding improvement strategies in consideration of feasibility.
Disclosure of Invention
Aiming at the defects of the existing method, the invention solves the problems of single research problem and lack of effective evaluation mechanism of the existing rural highways.
The technical scheme adopted by the invention is as follows: the safety facility lifting method based on rural highways comprises the following steps:
step one, constructing a rural highway current situation investigation frame system;
Furthermore, the rural highway status investigation frame system comprises road basic information, traffic safety facilities and roadside landscapes.
Step two, acquiring basic information of rural highway roads in a research area;
further, the rural highway road basic information includes road names, positions of various road segments, section forms of the road segments, the number of motor vehicle lanes of the road segments and the type of road surface materials.
Step three, acquiring rural highway traffic signs and safety facility basic information in a research area;
Step four, calculating an aggregation coefficient and an average shortest path length of the regional rural highway network by using a complex network theoretical model;
further, the calculating of the aggregation coefficient includes:
carrying out space analysis on the regional road network skeleton by using ArcGIS to generate an adjacent matrix; and calculating the aggregation coefficient of the node i, wherein the formula is as follows:
Where k i is the degree of node i and E i is the number of edges actually present between k nodes.
Further, the calculation formula of the average shortest path length is as follows:
Wherein L is the average shortest path length of the whole network, N is the number of nodes in the network, and d ij is the shortest path length of the nodes i and j.
Step five, establishing a comprehensive evaluation system of rural highway safety level;
further, the fifth step specifically includes:
building a comprehensive evaluation system from road alignment, roadside landscapes, traffic conditions, traffic signs and protection facilities; wherein,
The road line shape comprises a road section length, a sharp turning section, a continuous turning section, a ramp length, the number of lanes, the number of intersections with poor vision distance, a narrow road section and a lane width;
roadside landscapes include village number, blocked sign number, adjacent water road section length, population density and intersecting branch road number;
traffic conditions include road segment traffic, average speed, truck proportion, intersection traffic, accident frequency, and average accident loss;
Traffic signs and safeguards include banned signs, warning signs, and safeguards.
Step six, improving rural highway traffic safety management;
further, the sixth step specifically includes:
step 61, setting a signal intersection;
step 62, improving the visibility of the signalless intersection by utilizing the line-of-sight triangle;
Further, the line-of-sight triangle includes a line-of-sight, a line-of-sight boundary, and a line-of-sight angle; the calculation formula of the vision distance is as follows:
S1＝(nl+0.5)wl+wrs+wbs (3)
Wherein n l is the number of lanes of the motor vehicle in one direction, w l is the lane width, w rs is the remaining width of the lanes and shoulders of the non-motor vehicle, and w bs is the safety distance before the stop line.
Step 63, planning a truck driving path, arranging guardrails or barriers on a road section on the truck driving path, wherein the road surface is an asphalt road surface, and planning a parking area and a forbidden area;
And 64, analyzing the lane occupation condition by traffic flow organization near the road construction area, and reducing the conflict along the construction area.
Further, a rural highway based safety facility lifting system comprises: the system comprises a data acquisition module, a risk identification module and an information release module; wherein,
The data acquisition module acquires traffic images from the image video, acquires noise detection, tail gas remote sensing and truck weighing data by using a sensor, and acquires traffic accidents, maintenance records, road surface flatness and GIS data by using historical data;
the risk identification module is used for identifying the safety state by utilizing historical traffic accidents, flow characteristics and road infrastructure data through a hierarchical analysis method or a fuzzy clustering method;
Further, identifying the security state includes: quantifying the risk severity of the section and the intersection, and calculating the probability of the risk severity of the section and the risk severity of the intersection;
The formula of the probability of the severity of the section risk is:
Wherein P se represents the basic accident probability of the current road section; v se is the daily traffic volume from 8 am to 9 pm; cap se is the traffic capacity of the road section; v tr is the flow of the truck; PCE tr is a standard conversion coefficient of a passenger car corresponding to the truck; l da is the length of the damaged road section; l se is the length of the current road segment;
The intersection risk severity probability is formulated as:
Wherein alpha represents the included angle between the current road and the branch; The number of vehicles turning left for the branch; /(I) The number of vehicles turning left for the arterial road; v cr is the intersection traffic and P cr is the base accident rate for the current road segment area.
The information release module is used for carrying out statistical analysis and visualization on key information of real-time road network accessibility, traffic flow/emission/noise distribution and illegal traffic behavior.
The invention has the beneficial effects that:
1. The invention ensures the systematicness, comprehensiveness and scientificity of the road hidden trouble investigation work in rural areas, and is helpful for accurately and efficiently developing special investigation;
2. On the basis of summarizing common problems of rural road traffic signs and other auxiliary facilities, targeted improvement suggestions are provided from the aspects of incomplete sign types, point position selection, road traffic management, infrastructure operation and maintenance and the like, and meanwhile, an intelligent agricultural road supervision module integrating data acquisition, analysis and management is innovatively constructed, so that basic reference is provided for system research and development design;
3. The method provides an organized rural highway lifting mechanism consisting of practical advice and theoretical evaluation and a framework of a rural road intelligent management system by rural highway on-site investigation and countermeasure analysis, and has important significance for accelerating the promotion of a modern rural highway transportation system with safety, comfort, external smoothness, internal linkage and high service quality in rural areas.
Drawings
FIG. 1 is a block diagram of a rural highway based security facility lifting method and system of the present invention;
FIG. 2 is a rural highway status investigation overall framework of the present invention;
FIG. 3 is a white tower road primary traffic sign and facility distribution diagram of the present invention;
FIG. 4 is an ArcGIS extraction area road network node adjacency matrix of the present invention;
FIG. 5 is a diagram of the undirected network topology of the research area road network of the present invention;
FIG. 6 is a graph of node degree distribution of rural road network in a study area according to the present invention;
FIG. 7 is a road network node aggregate factor distribution of the present invention;
FIG. 8 is a path length distribution between pairs of points of the present invention;
FIG. 9 is a line of sight triangle of the branch and main road of the present invention at a T-junction;
FIG. 10 is a path guidance diagram of the present invention at various locations around a construction block area;
FIG. 11 is a diagram of a rural highway intelligent management system according to the present invention.
Detailed Description
The invention will be further described with reference to the accompanying drawings and examples, which are simplified schematic illustrations showing only the basic structure of the invention and thus showing only those constructions that are relevant to the invention.
As shown in fig. 1, a method for lifting a safety facility based on rural highways comprises the following steps:
step one, constructing a rural highway current situation investigation frame system;
As shown in fig. 2, the invention takes the specificity of rural highways into consideration, and builds a rural highway basic status quo investigation frame system which comprises three dimensions of road basic information, traffic safety facilities and roadside landscapes; the road basic information dimension firstly obtains the position of the investigation road and marks the position in the satellite map, and secondly obtains the geometric parameters and the physical parameters of the investigation road, wherein the geometric parameters mainly comprise the road horizontal and vertical characteristics, the lane types, the width and the number, and the physical parameters mainly comprise the cross section types and the road surface materials.
The dimension of the traffic safety facility mainly researches traffic sign marks and protection facilities in a research area, and the traffic sign marks mainly acquire the current situations of warning sign marks, forbidden sign marks and indication sign marks in the research area; the protection facilities mainly acquire the current situations of guardrails, isolation barriers, temporary anti-collision facilities, flash lamps, slope engineering and the like in the research area.
The roadside landscape dimension mainly researches the topography and land conditions in the research area, the topography mainly researches river and lake, mountain and hills and the like in the research area, marks the position in the satellite map, draws contour lines, and the land conditions mainly researches special land conditions of villages, schools, factories and the like along roads in the research area, and marks the position in the satellite map.
Step two, acquiring basic information of rural highway roads in a research area;
according to the requirement of the dimension investigation of the basic information of the road, the rural roads in the investigation region are investigated, and the investigation road section information is summarized, including investigation road names, investigation road section positions, investigation road section forms (one plate, two plates, three plates and the like), investigation road section motor vehicle lane numbers and road surface material types (asphalt road surfaces and cement road surfaces).
Taking a rural area in the north of a certain region in the west of a city as an example, investigation ranges are county rural roads and key connectivity branches, and the village-passing group road sections are not involved. According to the requirement of the dimension investigation of the road basic information, the rural highways in the investigation region are investigated, and the main information of the rural highways is summarized and investigated in Table 1.
TABLE 1 summary of Main road segment information in study area
Step three, acquiring rural highway traffic signs and safety facility basic information in a research area;
According to the dimension investigation requirements of the traffic safety facilities, investigation is conducted on rural highways in the investigation region, and traffic signs and safety facility information of main road sections are summarized; pictures of the position of the investigation road section (from the starting point to the ending point), the cross section parameters of the investigation road section (such as the road section form, the lane width and the like), the warning sign, the prohibition sign, the protection facility and the like of the investigation road section are marked in the satellite map in sequence, and the traffic sign and the safety facility condition of the road section are summarized and described.
As shown in fig. 3, taking a white tower road as an example, summarizing the road section traffic sign and the basic information of the safety facilities; the investigation road section is from a BT-JC intersection to a BT-NJH intersection, and the total length of the investigation road section is 4.4 km; the road section to be investigated is in the form of a plate with two motor lanes and two non-motor lanes; road cross section parameters, traffic signs and safety facilities, wherein the main facilities are warning signs, forbidden signs and protection facilities; marking a road cross section parameter diagram of a white tower road and the position of a white tower road investigation road section on a satellite map, marking the shot typical traffic sign and safety facility picture on the shot place of the white tower road section in sequence, and summarizing and explaining the traffic sign and the safety facility condition of the road section.
(1) Warning sign
The main warning signs of the current white tower section comprise crosswalk warning, intersection warning and accident-prone section warning; a child warning board is hung on a motor vehicle lane near the school.
(2) Forbidden mark
Speed limit marks are arranged at the places along the urban area and the factory area, weight limit marks are further arranged in front of the bridge to limit the axle weight of the vehicles, and scattered stop prohibition marks are arranged for guaranteeing the passing right of the non-motor vehicles.
(3) Protective facility
Although there is a separation between the motorway and the non-motorway, guardrails are provided along part of the road section of the slope or river.
The rural highway sections involved in the invention all gather traffic signs and safety facility basic information according to the requirements.
Analyzing the accessibility of rural highway networks in the area;
Step 41, building a network structure model;
Constructing a network structure model of backbone rural highways in a research area by using a complex network theory, and analyzing and calculating relevant characteristic indexes of the network model; the main characteristic indexes comprise: centrality, aggregation coefficient, and average shortest path length; before analysis, carrying out spatial analysis on the regional road network skeleton by using ArcGIS, and extracting an adjacent matrix, as shown in figure 4; meanwhile, the matrix is converted into an undirected topology structure diagram by using a MatLab complex network analysis tool.
Meanwhile, the matrix is converted into an undirected topology structure diagram by using a MatLab complex network analysis tool as shown in FIG. 5.
The adjacency matrix generation algorithm of the structure is as follows:
a＝[]
a= [ ]% defines a space moment, stores the adjacency relationship between nodes
I= -1% represents the i-th row, with an initial value of-1
N=size (a, 1)% of the number of road segments, one road segment is used by two nodes, counted twice, a must be even, and a needs to be sequenced in advance, increasing the sequence from small to large, the first column being the road segment ID and the second column being the node ID
while i<n-1
Each road section continuously appears twice and is adjacent after i=i+2% of the road sections are arranged, and the corresponding second column data is the end point ID at the two ends of the road section
A(a(i,2),a(i+1,2))＝1
A (i+1, 2), a (i, 2))=1% symmetry matrix, two element values need to be given
end
Analyzing and calculating network characteristic indexes;
the node degree characterizes the capability of directly associating one node with other nodes, namely the degree of other nodes in the whole network running around a certain node, and the degree of the node i is defined as the number k i of edges connected with the node i; if the degree of the intersection node is 4, the degree of the T-shaped intersection node is 3, and the node degree of the broken road is 1.
According to the definition, the invention calculates the network nodes to obtain the degree distribution of the current rural highway network nodes as shown in figure 6; the degree distribution of the nodes in the current road network is between 1 and 4, the average node degree is 2.7 and is close to 3, namely, the degree of the T-shaped intersection, and the network structure level proves that more T-shaped intersection structures exist in the current research area and are consistent with the characteristics of the actual road network in the research area.
The aggregation coefficient is an index parameter for describing the aggregation condition of nodes in a network, and the larger the aggregation coefficient is, the higher the connection closeness between the node and the adjacent node is; the definition is as follows: the node i with a certain degree of k i has k i edges to connect the node i with other k nodes, and the ratio of the number of edges E i actually existing among the k nodes to the total possible number of edges is the aggregation coefficient of the node i, and is calculated according to the following formula:
Where k i is the degree of node i and E i is the number of edges actually present between k nodes.
The invention constructs an aggregation coefficient algorithm through batch processing algorithm programming, and outputs the aggregation coefficients of 72 nodes as shown in figure 7; the adjacent nodes of most nodes are not communicated, the aggregation coefficient of only 9 nodes is not 0, the average aggregation coefficient of the road network nodes is 0.028, and the joint compactness of the whole road network is low.
The constructed aggregation coefficient algorithm MATLAB code is as follows:
function[C,AveC]＝ClusterCoefficient(A)
N=size (a, 1); a is an adjacent matrix
C＝zeros(1,N)；
for i＝1:N
aa＝find(A(i,:)＝＝1)；
if isempty(aa)
C(i)＝0；
else
m＝length(aa)；
if m＝＝1
C(i)＝0；
else
B＝A(aa,aa)；
C (i) =length (find (b= 1))/(m×m-1); % ratio of actual number of adjacent edges to potential number of adjacent edges
end
end
end
>>AveC＝mean(C)。
In a complex network, the distance between two directly adjacent nodes is 1 instead of the actual geographic distance; the average shortest path length of the network refers to the average value of the shortest path length between any two nodes in all N nodes of the network; the calculation formula is as follows:
Wherein L is the average shortest path length of the whole network, N is the number of nodes in the network, and d ij is the shortest path length of the nodes i and j.
In the embodiment of the invention, 72 nodes are shared in the road network topology diagram and coexist in the road network topology diagramThe program is used to perform convenient calculation (average shortest path algorithm) on the number of the path starting point pairs (2556), and the obtained path length between the 2556 point pairs is shown in fig. 8.
The MATLAB code of the average shortest path algorithm constructed by the invention is as follows:
function[APL,Dia,R]＝AveragePathLength(A)
NoV = size (a, 1); a is the foregoing adjacency matrix
Dis＝A；
Dis(find(Dis＝＝0))＝inf；
for i＝1:NoV
Dis(i,i)＝0；
end
for k＝1:NoV
for i＝1:NoV
for j＝1:NoV
if Dis(i,j)>Dis(i,k)+Dis(k,j)
Dis(i,j)＝Dis(i,k)+Dis(k,j)；
end
end
end
end
Apl=sum (sum (Dis))/(NoV × NoV-1); % average shortest path length calculation formula
Dia＝max(max(Dis))；
R＝0.5*Dia
if APL＝＝inf
Disp ('network not connected');
end。
step five, establishing a comprehensive evaluation system of rural highway safety level;
Comprehensively considering various indexes from four aspects of road alignment, roadside landscape, traffic conditions, traffic signs and protection facilities, and establishing a rural highway safety level comprehensive evaluation system; the road alignment evaluation indexes comprise road section length, sharp turning sections, continuous turning sections, ramp lengths, the number of lanes, the number of intersections with poor vision distance, narrow road sections, lane widths and the like.
Roadside landscape evaluation indexes comprise village number, blocked sign number, adjacent water road section length, population density, intersecting branch road number and the like.
The traffic condition evaluation indexes comprise road section traffic volume, average speed, truck proportion, intersection traffic volume, accident occurrence frequency, average accident loss and the like.
The traffic sign and the protection facility evaluation index comprise forbidden signs, warning signs and protection facilities; the forbidden mark evaluation indexes comprise the number of speed limit marks, the number of forbidden parking marks, the number of forbidden overtaking marks and the like; the warning sign evaluation indexes comprise the number of intersection signs, the number of T-shaped or Y-shaped intersection signs, the number of village signs, the number of sharp bend signs, the number of narrow road signs, the number of branch yield signs and the like; the protective facility evaluation indexes comprise the length of the road side guardrails, the length of the isolation facilities, the length of the deceleration marked line section, the marking number of the road crossing, the number of the warning lamps and the like.
In order to scientifically evaluate the safety level of rural highways, the invention comprehensively considers various indexes from four aspects of road alignment, roadside landscape, traffic conditions, traffic signs and protection facilities, and establishes a comprehensive evaluation system; as shown in tables 2 and 3, wherein the road alignment, roadside view and traffic conditions are auxiliary indicators, and others are basic indicators; and (3) injection: the items listed in the table refer to the relevant flags, the validity numbers of the flags, i.e. the damaged flag, the unclear flag are not counted.
Table 2 quantifiable assistance-related traffic safety metrics
TABLE 3 basic index System related to traffic safety
Step six, a rural highway traffic safety management lifting method;
Step 61, setting a signal intersection; on the basis of carrying out detailed study on traffic distribution of rural highway network, updating a plurality of signalless intersections with larger traffic into signal control intersections so as to reduce merging conflicts, wherein the selection of a timing scheme should consider the dynamic property of traffic time distribution.
Step 62, improving the visibility of the signalless intersection; as shown in fig. 9, the line-of-sight triangle considers both the line-of-sight, the line-of-sight boundary, which is the outer lane centerline, and the line-of-sight angle, which is 60 °; the vertical viewing distance S 1 and the horizontal viewing distance S 2 of the viewpoint are calculated by the formula (3) and the formula (4), respectively:
S1＝(nl+0.5)wl+wrs+wbs (3)
Wherein n l is the number of lanes of the motor vehicle in one direction, w l is the lane width, w rs is the remaining width of the lanes and shoulders of the non-motor vehicle, and w bs is the safety distance before the stop line.
Step 63, truck management; according to the position of the factory, it is necessary to plan the running path of the truck on the rural highway network; guard rails or barriers are arranged on road sections on the truck driving paths, and asphalt pavement is considered as the pavement type; meanwhile, parking areas and forbidden areas are planned in advance.
Step 64, road construction management; traffic flow organizations near a road construction area should consider lane occupation conditions to minimize collisions along the construction area; taking road engineering with a road of four roads occupying a half range as an example, traffic signs and facilities are sequentially distributed as road construction warning signs, speed limit signs, narrow road signs, anti-collision facilities and speed limit signs; when the road section is fully occupied, in addition to the warning signs of road jam and no traffic, it is recommended to set area route guidance cards around the road section to realize microscopic simulation of traffic flow, as shown in fig. 10 (a) and (b).
As shown in fig. 11, a rural highway based safety facility lifting system comprises: the data acquisition module is a database integrating video data, sensor data and historical data; video data including flow, speed and density can be extracted from video by sophisticated traffic-related image recognition algorithms and theory; video data may be provided by fixed cameras and drones; the sensor data comprises noise detection, tail gas remote sensing and truck weighing; the historical data comprise traffic accidents, maintenance records, road surface flatness, GIS data and the like, wherein the road surface flatness data are collected by adopting periodic laser scanning.
The risk identification module is used for designing a current module based on data such as historical traffic accidents, traffic characteristics, road infrastructure and the like, identifying road section risk distribution and finding out a position with poor safety conditions; the security state is identified by adopting an analytic hierarchy process or a fuzzy clustering process, so that daily management and periodic inspection are more targeted; the risk distribution of the rural road network is reflected by a heat map, and the deeper the color is, the higher the severity of the road section is, the higher the possibility of traffic collision is, or the worse the condition of road infrastructure is; the risk severity of the section and intersection was quantified using equation (5) and equation (6), respectively:
Wherein P se represents the basic accident probability of the current road section; v se is daily traffic volume in PCU/day from 8 am to 9 pm; cap se is the traffic capacity of the road section, PCU/day, influenced by the width of the lane, the section type and the speed limit; v tr is the flow of the truck, veh/d; PCE tr is a standard conversion coefficient of a passenger car corresponding to a truck, and is used for converting V tr into standard traffic volume, and the value is usually 4; l da is the length of the damaged road section (including pavement cracks and pavement depressions), km; l se is the length of the current link in km.
The calculation of the risk of the intersection depends on a signal control mode, for the signal control intersection, the risk can be equivalent to the basic accident rate P cr of the current road section area, and for the T-shaped or Y-shaped intersection without signal control, the risk is corrected according to the intersection included angle and the conflict traffic volume; alpha represents the included angle (alpha is smaller than 90 degrees) between the current road and the branch, and the smaller alpha represents the worse sight distance condition; PCU/day for the number of branch left-turn vehicles; /(I) PCU/day for the number of left-turning vehicles on the arterial road; v cr is the intersection flow, PCU/day, consisting of the bi-directional flow of main and branch.
The information release module performs statistical analysis and visualization on key information, including real-time road network accessibility, traffic flow/emission/noise distribution, illegal traffic behavior and the like, and released information is shared among traffic departments, village committees and local governments, so that coordination management is facilitated.
With the above-described preferred embodiments according to the present invention as an illustration, the above-described descriptions can be used by persons skilled in the relevant art to make various changes and modifications without departing from the scope of the technical idea of the present invention. The technical scope of the present invention is not limited to the description, but must be determined according to the scope of claims.
Claims (5)
1. The method for lifting the safety facility based on the rural highway is characterized by comprising the following steps of:
step one, constructing a rural highway current situation investigation frame system;
Step two, acquiring basic information of rural highway roads in a research area;
The rural highway road basic information comprises road names, positions of all road sections, section forms, number of motor lanes of the road sections and road surface material types;
A system for rural highway based security facility lifting method, comprising: the system comprises a data acquisition module, a risk identification module and an information release module; wherein,
The data acquisition module acquires traffic images from the image video, acquires noise detection, tail gas remote sensing and truck weighing data by using a sensor, and acquires traffic accidents, maintenance records, road surface flatness and GIS data by using historical data;
the risk identification module is used for identifying the safety state by utilizing historical traffic accidents, flow characteristics and road infrastructure data through a hierarchical analysis method or a fuzzy clustering method;
the information release module is used for carrying out statistical analysis and visualization on key information of real-time road network accessibility, traffic flow/emission/noise distribution and illegal traffic behavior;
identifying the security state includes: quantifying the risk severity of the section and the intersection, and calculating the probability of the risk severity of the section and the risk severity of the intersection;
The formula of the probability of the severity of the section risk is:
Wherein P se represents the basic accident probability of the current road section; v se is the daily traffic volume from 8 am to 9 pm; cap se is the traffic capacity of the road section; v tr is the flow of the truck; PCE tr is a standard conversion coefficient of a passenger car corresponding to the truck; l da is the length of the damaged road section; l se is the length of the current road segment;
step three, acquiring rural highway traffic signs and safety facility basic information in a research area;
Step four, calculating an aggregation coefficient and an average shortest path length of the regional rural highway network by using a complex network theoretical model;
carrying out space analysis on the regional road network skeleton by using ArcGIS to generate an adjacent matrix; and calculating the aggregation coefficient of the node i, wherein the formula is as follows:
Wherein k i is the degree of the road network node i, and E i is the number of actually existing edges among k nodes around the road network node i;
step five, establishing a comprehensive evaluation system of rural highway safety level;
Building a comprehensive evaluation system from road alignment, roadside landscapes, traffic conditions, traffic signs and protection facilities;
Step six, improving rural highway traffic safety management;
The sixth step specifically comprises:
step 61, setting a signal intersection;
step 62, improving the visibility of the signalless intersection by utilizing the line-of-sight triangle;
step 63, planning a truck driving path, arranging guardrails or barriers on a road section on the truck driving path, wherein the road surface is an asphalt road surface, and planning a parking area and a forbidden area;
64, analyzing the traffic flow organization near the road construction area to analyze the lane occupation status, and reducing the conflict along the construction area;
The intersection risk severity probability is formulated as:
Wherein alpha represents the included angle between the current road and the branch; The number of vehicles turning left for the branch; /(I) The number of vehicles turning left for the arterial road; v cr is the intersection traffic and P cr is the base accident rate for the current road segment area.
2. The rural highway based safety facility lifting method according to claim 1, wherein the rural highway status research framework system comprises road basic information, traffic safety facilities and roadside landscapes.
3. The rural highway based safety facility lifting method according to claim 1, wherein the calculation formula of the average shortest path length is:
Wherein L is the average shortest path length of the whole network, N is the number of nodes in the network, and d ij is the shortest path length of the nodes i and j.
4. The rural highway-based safety facility lifting method according to claim 1, wherein the road alignment comprises a road segment length, a sharp turning section, a continuous turning section, a ramp length, the number of lanes, the number of intersections with poor vision, a narrow road segment, and a lane width;
roadside landscapes include village number, blocked sign number, adjacent water road section length, population density and intersecting branch road number;
traffic conditions include road segment traffic, average speed, truck proportion, intersection traffic, accident frequency, and average accident loss;
Traffic signs and safeguards include banned signs, warning signs, and safeguards.
5. The rural highway based safety facility lifting method according to claim 1, wherein the line-of-sight triangle comprises line-of-sight, line-of-sight boundaries, and line-of-sight angles; the calculation formula of the vision distance is as follows:
S1＝(nl+0.5)wl+wrs+wbs (3)
Wherein n l is the number of lanes of the motor vehicle in one direction, w l is the lane width, w rs is the remaining width of the lanes and shoulders of the non-motor vehicle, and w bs is the safety distance before the stop line.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311206163.0A CN117273487B (en) | 2023-09-18 | 2023-09-18 | Safety facility lifting method and system based on rural highway |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311206163.0A CN117273487B (en) | 2023-09-18 | 2023-09-18 | Safety facility lifting method and system based on rural highway |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN117273487A CN117273487A (en) | 2023-12-22 |
| CN117273487B true CN117273487B (en) | 2024-06-25 |
Family
ID=89209893
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311206163.0A Active CN117273487B (en) | 2023-09-18 | 2023-09-18 | Safety facility lifting method and system based on rural highway |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117273487B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117932105B (en) * | 2024-03-21 | 2024-06-04 | 山西嘉鹏佳科技有限公司 | Highway engineering construction data management system and method based on GIS |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116311912A (en) * | 2023-02-17 | 2023-06-23 | 中交第一公路勘察设计研究院有限公司 | Active prevention and control method for traffic safety of national province trunk road |
| CN116416778A (en) * | 2021-12-29 | 2023-07-11 | 北京航迹科技有限公司 | Regional security risk assessment method, system, device and storage medium |
Family Cites Families (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20070119315A (en) * | 2006-06-15 | 2007-12-20 | (주)한국공간정보통신 | Traffic safety diagnosis and management information integrational system by using olap and gis |
| CN104978853B (en) * | 2014-04-01 | 2017-11-21 | ***通信集团公司 | A kind of traffic safety appraisal procedure and system |
| CN105741551B (en) * | 2016-04-22 | 2017-12-01 | 华南理工大学 | A kind of unsignalized intersection Traffic safety evaluation method |
| CN106096798A (en) * | 2016-07-05 | 2016-11-09 | 南京航空航天大学 | A kind of city road network optimization method under accessibility optimal conditions |
| CN108960636A (en) * | 2018-07-08 | 2018-12-07 | 江苏金海星导航科技有限公司 | A kind of lorry intersection operational safety evaluation method based on matter-element model |
| CN110033048A (en) * | 2019-04-18 | 2019-07-19 | 西南交通大学 | A kind of rail traffic key node and key road segment recognition methods |
| GB202405829D0 (en) * | 2019-11-11 | 2024-06-12 | Mobileye Vision Technologies Ltd | Systems and methods for determining road safety |
| CN113222407A (en) * | 2021-05-11 | 2021-08-06 | 山西省交通科技研发有限公司 | Highway project security evaluation system based on BIM |
| CN114595540A (en) * | 2022-03-03 | 2022-06-07 | 中南大学 | Reliability evaluation method for autonomous traffic system |
| CN115309842A (en) * | 2022-07-29 | 2022-11-08 | 厦门理工学院 | Subway network characteristic analysis method, device, equipment and storage medium |
| CN116485203A (en) * | 2023-04-25 | 2023-07-25 | 武汉理工大学 | Road reconstruction and expansion time decision method based on network theory |
-
2023
- 2023-09-18 CN CN202311206163.0A patent/CN117273487B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116416778A (en) * | 2021-12-29 | 2023-07-11 | 北京航迹科技有限公司 | Regional security risk assessment method, system, device and storage medium |
| CN116311912A (en) * | 2023-02-17 | 2023-06-23 | 中交第一公路勘察设计研究院有限公司 | Active prevention and control method for traffic safety of national province trunk road |
Non-Patent Citations (1)
| Title |
|---|
| 严开 ; 李玲 ; 秦永彬.道路交通网络中的关键节点识别方法研究.计算机工程与科学.2018,第1984-1986页. * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN117273487A (en) | 2023-12-22 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108364494B (en) | Intelligent road traffic management method, system and platform | |
| Vogt | Crash models for rural intersections: Four-lane by two-lane stop-controlled and two-lane by two-lane signalized | |
| CN117273487B (en) | Safety facility lifting method and system based on rural highway | |
| CN114363316A (en) | Intelligent networking monitoring and supervision system for cross-regional road infrastructure | |
| Gan et al. | Advanced traveler information system for metropolitan expressways in Shanghai, China | |
| Stephen et al. | Identification and analysis of accident blackspots using GIS | |
| Tarko et al. | Analysis and methods of improvement of safety at high-speed rural intersections | |
| Sarraf et al. | A data integration and analysis system for safe route planning | |
| Mahmud et al. | Some Behavioral and safety aspects of Jamuna multipurpose bridge (JMB) and its approaches: An analysis using a special dataset | |
| RVyas et al. | Identification of black spots for safe commuting using weighted severity index and GIS | |
| Rashid et al. | Framework To Assess Driver Visibility at Road Junction | |
| Bassani et al. | Variables influencing speed distribution on urban arterials and collectors | |
| Brewer et al. | Research and Findings on Roundabouts and Innovative Intersections for High-Speed and Rural Locations | |
| Ai et al. | Strategies to enhance the level of service and safety of rural roads: A case study | |
| Adanikin et al. | Traffic Congestion Assessment of Akure Central Business District Using Geographic Information System (GIS) | |
| Oršić et al. | Geospatial Analysis of Bicycle Infrastructure in the Function of Traffic Safety: The Case of the City of Zagreb | |
| Ding et al. | Study on safety features of road and traffic facilities at the entrance of interchange area | |
| Jalayer et al. | Evaluating the Safety and Mobility Impacts of American Dream Complex: Phase I (Feasibility Study, and Data Acquisition) | |
| KR101149754B1 (en) | Method of producing road, traffic, public transport network based on cell, range, and space | |
| Kirtley et al. | Sign count approximation using field inventory sampling and calculated sign densities for NC primary routes | |
| Cunningham | An evaluation of low-cost wrong-way driving countermeasures at partial cloverleaf interchanges on Kansas interstates | |
| Seat | Using LiDAR Data to Analyze Access Management Criteria in Utah | |
| Bhadade et al. | “Preparation of Action plan for elimination of Accident at black spot “(A Case Study) | |
| Shankar et al. | Two-lane rural highways safety performance functions. | |
| Sharma et al. | Road Safety Inspection of NH-205A: A Case Study Check for updates |
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 |