CN107123268A - A kind of intersection accidents secure state evaluating method - Google Patents

A kind of intersection accidents secure state evaluating method Download PDF

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Publication number
CN107123268A
CN107123268A CN201710520462.XA CN201710520462A CN107123268A CN 107123268 A CN107123268 A CN 107123268A CN 201710520462 A CN201710520462 A CN 201710520462A CN 107123268 A CN107123268 A CN 107123268A
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intersection
index
evaluation
grade
evaluation index
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CN107123268B (en
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蔡延光
陈骋逵
蔡颢
黄何列
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Guangdong University of Technology
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Guangdong University of Technology
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    • 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
    • G08G1/0133—Traffic data processing for classifying traffic situation
    • 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
    • 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—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • G06Q50/26—Government or public services

Abstract

The invention discloses a kind of intersection accidents secure state evaluating method, this method includes：Obtain the evaluation index of intersection accidents safe condition；Set up the basal evaluation standard of intersection accidents safe condition；The cloud numerical characteristic of evaluation index is determined, degree of membership cloud model of the evaluation index in each safe condition grade is set up by Normal Cloud Generator according to cloud numerical characteristic；Intersection evaluation index value to be assessed is inputted into degree of membership cloud model, the traffic safety condition evaluation results of level-crossing are obtained.This method, which is realized, improves the assessment result degree of accuracy.

Description

A kind of intersection accidents secure state evaluating method
Technical field
The present invention relates to urban road traffic safety assessment technology field, more particularly to a kind of intersection accidents peace Total state appraisal procedure.
Background technology
At present, level-crossing is the important pivot point of urban highway traffic net, the intersection in traffic geometry linear The probability for occurring traffic safety accident harm is larger.Because in intersection, vehicle is intensive, driver viewing blind zone it is big with And conflict point is more between vehicle.According to incomplete statistics, in Urban Road Traffic Accidents, generation just account for one in intersection Half.It is intersecting to cross wagon flow direction, conflict point, with respect between the volume of traffic, split point and junction of two streams quantity and these crosspoints Distance determines the traffic safety state of intersection, the possibility occurred by the more many so traffic accidents of the car quantity of intersection Property is bigger.In no signal lamp scene, the factor of analyzing influence grade crossing safe condition sets up evaluation index and shape State evaluation criteria.The assessment models for assessing crossing safety state are finally set up, but the assessment result degree of accuracy is relatively low.
The content of the invention
It is an object of the invention to provide a kind of intersection accidents secure state evaluating method, knot is assessed to realize to improve The fruit degree of accuracy.
In order to solve the above technical problems, the present invention provides a kind of intersection accidents secure state evaluating method, the party Method includes：
Obtain the evaluation index of intersection accidents safe condition；
Set up the basal evaluation standard of intersection accidents safe condition；
The cloud numerical characteristic of evaluation index is determined, setting up evaluation index by Normal Cloud Generator according to cloud numerical characteristic exists Degree of membership cloud model in each safe condition grade；
Intersection evaluation index value to be assessed is inputted into degree of membership cloud model, the traffic peace of level-crossing is obtained Total state assessment result.
It is preferred that, the evaluation index includes vehicle and enters intersection speed index V, refers into intersection synthesis rate violating the regulations Mark P, intersection pavement roughness index RSR；
Wherein, V=| va-vb|, V unit is km/h；vaTo enter 85% car on the speed cummulative frequency curve of intersection Speed；vbThe road speed designed for intersection；
P unit is percentage；
Intersection pavement roughness index RSR is m/km from international flatness degree index IRI, RSR unit；
Wherein, V ∈ (0,30], P ∈ (0.0,1.0], RSR ∈ (0.0,4.6].
It is preferred that, the basal evaluation standard for setting up intersection accidents safe condition, including：
Intersection traffic safe condition is divided into 5 grades；
Wherein, 5 grades are respectively grade 1, grade 2, grade 3, class 4, class 5；Grade 1 represents intersection traffic peace Total state rank is safety；Grade 2 represents that intersection traffic security context level is safer；Grade 3 represents intersection traffic Security context level is basic security；Class 4 represents that intersection traffic security context level is dangerous；Class 5 represents to intersect It is danger that security context level is led in oral sex；
Vehicle is set up respectively integrates rate index P violating the regulations and intersection pavement into intersection speed index V, into intersection The basic grade scale of the corresponding security evaluations of roughness index RSR；
Wherein, the basic grade scale of intersection speed index V security evaluation is：Into The basic grade scale of security evaluation that intersection integrates rate index P violating the regulations is：Intersection pavement The basic grade scale of roughness index RSR security evaluation is：
It is preferred that, the cloud numerical characteristic for determining evaluation index, including：
Determine the cloud model numerical characteristic of evaluation index in 5 grades of intersection traffic safe condition；
Wherein, evaluation index is in the cloud model numerical characteristic of grade 1：Evaluation index is being waited Level 2 cloud model numerical characteristic be：Evaluation index is in the cloud model numerical characteristic of grade 3：Evaluation index is in the cloud model numerical characteristic of class 4：Evaluation index It is in the cloud model numerical characteristic of safe class 5：
Wherein, a, b, c, d, e represent that 5 of each evaluation index grade scale are assessed interval boundary value, described 5 respectively Assessing interval is：(0, a], (a, b], (b, c], (c, d], (d, e].
It is preferred that, it is described to input intersection evaluation index value to be assessed into degree of membership cloud model, obtain plane friendship The traffic safety condition evaluation results of prong, including：
Respectively r is determined in the degree of membership cloud model of evaluation indexijValue, i=1,2,3, j=1,2,3,4,5；Wherein, rijRepresent degrees of membership of the evaluation index i for evaluation grade j；Wherein it is determined that V0Corresponding r11,r12,…,r15, determine P0Correspondence R21,r22,…,r25, determine RSR0Corresponding r31,r32,…,r35, V0Enter intersection speed index value for be assessed, P0Rate desired value violating the regulations, RSR are integrated for entrance intersection to be assessed0For intersection pavement roughness index value to be assessed；
Determine the traffic safety condition evaluation results of level-crossing.
It is preferred that, the traffic safety condition evaluation results for determining level-crossing, including：
Step S1：To each evaluation index i, evaluation index i evaluation grade, initial i=1 are determined；
Step S2：Seek ri1,ri2,…,ri5Maximum Mri：
Wherein, Mri=max { ri1,ri2,…,ri5}；
Step S3：Determine j0, it is desirable to：rij0=MriAnd to all j=j0+1 ..., 5, rij<Mri。
Step S4：Calculate weighted average S：
Wherein,
Step S5：Ask | S-rij0|,|S-ri(j0+1)|,…,|S-ri5| minimum value Sri：
Wherein, Sri=min | S-rij0|,|S-ri(j0+1)|,…,|S-ri5|}；
Step S6：Determine j1, it is desirable to：|S-rij1|=SriAnd to all j=j1+1 ..., 5, | S-rij1|>Sri；
Step S7：Determine evaluation index i evaluation grade：Evi=j1；
Step S8：I=i+1；If i≤3, into step S2；
Step S9：Determine crossing safety state grade.
It is preferred that, step S9 includes：
Determine the weight of 3 evaluation indexes：w1=0.45, w2=0.30, w3=0.25；
Calculate comprehensive assessment result Ev；Wherein,
Calculate
Output cross mouthful safe condition grade is TSI.
A kind of intersection accidents secure state evaluating method provided by the present invention, obtains intersection accidents peace The evaluation index of total state；Set up the basal evaluation standard of intersection accidents safe condition；Determine the cloud number of evaluation index Word feature, degree of membership cloud of the evaluation index in each safe condition grade is set up according to cloud numerical characteristic by Normal Cloud Generator Model；Intersection evaluation index value to be assessed is inputted into degree of membership cloud model, the traffic safety of level-crossing is obtained Condition evaluation results.It can be seen that, intersection accidents security state evaluation index system is set up under no signal lamp scene i.e. many Individual evaluation index, the degree of membership of three evaluation indexes is determined by cloud model method, introduces cloud model method and degree of membership is determined to obtain Accuracy and reasonability it is relatively reliable, so as to obtain intersection accidents state evaluating result, assessment result has Higher Evaluation accuracy, effect preferably, is realized and improves the assessment result degree of accuracy.
Brief description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing There is the accompanying drawing used required in technology description to be briefly described, it should be apparent that, drawings in the following description are only this The embodiment of invention, for those of ordinary skill in the art, on the premise of not paying creative work, can also basis The accompanying drawing of offer obtains other accompanying drawings.
Fig. 1 is a kind of flow chart of intersection accidents secure state evaluating method provided by the present invention；
Fig. 2 is intersection accidents secure state evaluating method principle flow chart.
Embodiment
The core of the present invention is to provide a kind of intersection accidents secure state evaluating method, and knot is assessed to realize to improve The fruit degree of accuracy.
In order that those skilled in the art more fully understand the present invention program, below in conjunction with the embodiment of the present invention Accompanying drawing, the technical scheme in the embodiment of the present invention is clearly and completely described, it is clear that described embodiment is only A part of embodiment of the present invention, rather than whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art The every other embodiment obtained under the premise of creative work is not made, belongs to the scope of protection of the invention.
Fig. 1 is refer to, Fig. 1 is a kind of flow of intersection accidents secure state evaluating method provided by the present invention Figure, this method includes：
S11：Obtain the evaluation index of intersection accidents safe condition；
S12：Set up the basal evaluation standard of intersection accidents safe condition；
S13：The cloud numerical characteristic of evaluation index is determined, setting up assessment by Normal Cloud Generator according to cloud numerical characteristic refers to It is marked on the degree of membership cloud model in each safe condition grade；
S14：Intersection evaluation index value to be assessed is inputted into degree of membership cloud model, the friendship of level-crossing is obtained Logical state evaluating result.
It can be seen that, the i.e. multiple assessments of intersection accidents security state evaluation index system are set up under no signal lamp scene Index, the degree of membership of three evaluation indexes is determined by cloud model method, it is accurate that introducing cloud model method is obtained to degree of membership determination Property and reasonability it is relatively reliable, so as to obtain intersection accidents state evaluating result, assessment result has higher Evaluation accuracy, effect preferably, is realized and improves the assessment result degree of accuracy.
Based on the above method, the evaluation index includes vehicle and enters intersection speed index V, integrates and disobey into intersection Chapter rate index P, intersection pavement roughness index RSR；
Wherein, V=| va-vb|, V unit is km/h；vaTo enter 85% car on the speed cummulative frequency curve of intersection Speed；vbThe road speed designed for intersection；
P unit is percentage；
Intersection pavement roughness index RSR is m/km from international flatness degree index IRI, RSR unit；
Wherein, V ∈ (0,30], P ∈ (0.0,1.0], RSR ∈ (0.0,4.6].
Further, step S12 specifically includes following steps：
S21：Intersection traffic safe condition is divided into 5 grades；
Wherein, 5 grades are respectively grade 1, grade 2, grade 3, class 4, class 5；Grade 1 represents intersection traffic peace Total state rank is safety；Grade 2 represents that intersection traffic security context level is safer；Grade 3 represents intersection traffic Security context level is basic security；Class 4 represents that intersection traffic security context level is dangerous；Class 5 represents to intersect It is danger that security context level is led in oral sex；
S22：Vehicle is set up respectively integrates rate index P violating the regulations and intersection into intersection speed index V, into intersection The basic grade scale of the corresponding security evaluations of surface evenness index RSR；
Wherein, the basic grade scale of intersection speed index V security evaluation is：Into The basic grade scale of security evaluation that intersection integrates rate index P violating the regulations is：Intersection pavement The basic grade scale of roughness index RSR security evaluation is：
Further, in step S13, determine that the process of the cloud numerical characteristic of evaluation index is specifically included：Determine intersection The cloud model numerical characteristic of evaluation index in 5 grades of traffic safety state.
Wherein, evaluation index is in the cloud model numerical characteristic of grade 1：Evaluation index is being waited Level 2 cloud model numerical characteristic be：Evaluation index is in the cloud model numerical characteristic of grade 3：Evaluation index is in the cloud model numerical characteristic of class 4：Evaluation index It is in the cloud model numerical characteristic of safe class 5：Wherein, Ex, which is represented, expects, En represents entropy.
Wherein, a, b, c, d, e represent that 5 of each evaluation index grade scale are assessed interval boundary value, described 5 respectively Assessing interval is：(0, a], (a, b], (b, c], (c, d], (d, e].There is A, B, C, D, E this five to assess interval, A for (0, A], B for (a, b], C for (b, c], D for (c, d], E for (d, e].
Further, step S14 process specifically includes following steps：
S31：Respectively r is determined in the degree of membership cloud model of evaluation indexijValue, i=1,2,3, j=1,2,3,4,5；Its In, rijRepresent degrees of membership of the evaluation index i for evaluation grade j；
Wherein, step S31 is specifically included：Determine V0Corresponding r11,r12,…,r15, determine P0Corresponding r21,r22,…, r25, determine RSR0Corresponding r31,r32,…,r35, V0For entrance intersection speed index value, P to be assessed0To be to be assessed Rate desired value violating the regulations, RSR are integrated into intersection0For intersection pavement roughness index value to be assessed；
S32：Determine the traffic safety condition evaluation results of level-crossing.
Further, step S31 specifically includes following steps：
Step S1：To each evaluation index i, evaluation index i evaluation grade, initial i=1 are determined；
Step S2：Seek ri1,ri2,…,ri5Maximum Mri：
Wherein, Mri=max { ri1,ri2,…,ri5}；
Step S3：Determine j0, it is desirable to：rij0=MriAnd to all j=j0+1 ..., 5, rij<Mri；
Wherein, " j=j0+1 ..., 5 " expression j take the integer in the range of [j0+1,5].
Step S4：Calculate weighted average S：
Wherein,
Step S5：Ask | S-rij0|,|S-ri(j0+1)|,…,|S-ri5| minimum value Sri：
Wherein, Sri=min | S-rij0|,|S-ri(j0+1)|,…,|S-ri5|}；
Step S6：Determine j1, it is desirable to：|S-rij1|=SriAnd to all j=j1+1 ..., 5, | S-rij1|>Sri；
Wherein, " j=j1+1 ..., 5 " expression j take the integer in the range of [j1+1,5]；
Step S7：Determine evaluation index i evaluation grade：Evi=j1；
Step S8：I=i+1；If i≤3, into step S2；
Step S9：Determine crossing safety state grade.
Specifically, step S9 is specifically included：Determine the weight of 3 evaluation indexes：w1=0.45, w2=0.30, w3= 0.25；Comprehensive assessment result Ev is calculated, whereinCalculateOutput cross mouthful safe condition etc. Level is TSI.
The invention discloses a kind of intersection accidents secure state evaluating method, under no signal lamp scene, including Intersection accidents security state evaluation index system is set up, by inputting intersection traffic security state evaluation index system In index parameter, set up intersection accidents safe condition Integrated Evaluation Model, define intersection accidents safety Entrance intersection speed index in state evaluating method, intersection integrates rate index violating the regulations, and intersection pavement flatness etc. is joined Count, and the degree of membership of three evaluation indexes is determined by cloud model method, introduce the standard that cloud model method determines to obtain to degree of membership True property and reasonability are relatively reliable, and more conform to the thinking logic of people, so as to obtain the safe shape of intersection accidents State assessment result.With reference to Fig. 2, Fig. 2 is intersection accidents secure state evaluating method principle flow chart.It is proposed by the present invention A kind of level-crossing traffic safety state evaluating method has higher Evaluation accuracy, and effect is preferable.
Detailed, in this method, cloud model method solves pair determination degree of membership during fuzzy overall evaluation is set up Puzzled and query.Cloud model is that the one kind changed between qualitatively concept and quantitative expression is realized by using natural language Probabilistic transformation model.The numerical characteristic that cloud model passes through cloud：Desired value (Ex), three parameters of entropy (En) and super entropy (He) Characterized to the mathematical property of Linguistic Value, and to it.Desired value is that qualitativing concept feature is most significantly worth；Entropy is then to represent qualitative sight Read the numerical value category being accepted；Super entropy is the uncertain measurement of entropy, is used to show all be worth in fuzzy concept uncertain The compendency of degree, in cloud atlas be cloud thickness.If super entropy is big, the thickness that cloud is showed also just shows greatly, and entropy The boundary that the randomness and ambiguity being used to indicate that in concept are accepted.The span size of cloud is shown as in cloud atlas.Draw Enter the description of cloud model natural language and determine to obtain accuracy more rationally reliable to degree of membership, meet the logical thinking of people.
The present invention is subjected to analysis of cases, the plane by the traffic safety state estimation to 1 level-crossing below The design of intersection into speed be vb=35km/h.A kind of intersection accidents secure state evaluating method of the present invention Case implementation steps are embodied as follows：
Step 1：Design plane intersection traffic safety State Assessment Index System：Evaluation index 1 enters for vehicle Intersection speed index V (km/h)；Evaluation index 2 is to enter intersection to integrate rate index P (%) violating the regulations；Evaluation index 3 is friendship Prong surface evenness index RSR (m/km).
Wherein, V=| va-vb|, in formula：vaTo enter 85% speed on the speed cummulative frequency curve of intersection；vbTo hand over The road speed of prong design.
Intersection pavement roughness index RSR is from international flatness degree index IRI.
This method needs to set up：V ∈ (0,30], P ∈ (0.0,1.0], IRI∈(0.0,4.6]。
Step 2：Level-crossing safe condition basal evaluation standard is set up, is further comprised：
Step 2-1：It is respectively 1,2,3,4,5 that intersection traffic safety state is divided into 5 ranks.Wherein：
Grade 1 represents that intersection traffic security context level is safety；
Grade 2 represents that intersection traffic security context level is safer；
Grade 3 represents that intersection traffic security context level is basic security；
Class 4 represents that intersection traffic security context level is dangerous；
Class 5 represents that intersection traffic security context level is danger；
Step 2-2：Set up and enter intersection speed index, comprehensive index and surface evenness index violating the regulations to safe shape The basic grade scale that state is assessed.Wherein：
Speed index security evaluation basis grade scale：
Into the comprehensive basic grade scale of rate index security evaluation violating the regulations：
Surface evenness security evaluation basis grade scale：
Step 3：Determine rijValue, i=1,2,3, j=1,2,3,4,5.
Step 3-1：Determine the cloud numerical characteristic of evaluation index in 5 safe condition grades.
Calculated below by taking evaluation index 1 as an example：
A, b, c, d, e of index 1 are respectively 5 of the basic grade scale of evaluation index 1 and assess interval boundary value, i.e. a =5, b=10, c=20, d=25, e=30.Wherein：
Cloud model numerical characteristic of the evaluation index in safe class 1：
Cloud model numerical characteristic of the evaluation index in safe class 2：
Cloud model numerical characteristic of the evaluation index in safe class 3：
Cloud model numerical characteristic of the evaluation index in safe class 4：
Cloud model numerical characteristic of the evaluation index in safe class 5：
Step 3-2：Evaluation index is set up in each safe condition grade by Normal Cloud Generator according to cloud numerical characteristic Degree of membership cloud model.It can carry out as follows：
Step 3-2-1：Maximum water dust number MaxCD=1000 is set；Make He=0.01.
Step 3-2-2：I=1；For each evaluation index i, degree of membership cloud model, i=1,2,3 are set up.Initial i=1.
Step 3-2-3：J=1；For evaluation index i each safe class j, j=1,2,3,4,5.Initial j=1.
Step 3-2-4：K=1；For evaluation index i each safe class j, water dust k, k=1,2 ... are calculated, MaxCD.Initial k=1.
Step 3-2-5：With EnjFor mathematic expectaion, He 2For variance, a normal random number Z=Rn (En is producedj, He)。
Step 3-2-6：With ExjTo expect, Z2For variance, a normal random number x is generatedk=Rn (Exj, Z).
Step 3-2-7：Calculate
Step 3-2-8：Obtain water dust (xk, yk)。
Step 3-2-9：If k<MaxCD, then k=k+1, calculates next water dust；
Step 3-2-10：If j<5, then j=j+1, calculates the cloud model of next safe class
Step 3-2-11：If i<3, then i=i+1, calculates the cloud model figure of next each evaluation index.
Step 4：Input：Evaluation index value V0、P0、RSR0, V0=7km/h；P0=0.13；RSR0=2.8m/km.
Step 5：Respectively r is determined on the cloud model figure of correspondence evaluation indexijValue, i=1,2,3, j=1,2,3,4,5.
Step 5-1：Determine the corresponding r of V011=0.198, r12=0.487, r13=0.000, r14=0.000, r15= 0.000。
Step 5-2：Determine the corresponding r of P021=0.044, r22=0.912, r23=0.005, r24=0.000, r25= 0.000。
Step 5-3：Determine RSR0Corresponding r31=0.012, r32=0.405, r33=0.255r34=0.108, r35= 0.000。
Step 6：Determine assessment result.Step 6 further comprises：
Step 6-1：To each evaluation index i, evaluation index i evaluation grade is determined.Initial i=1.
Step 6-2：Seek ri1,ri2,…,ri5Maximum Mri, Mri=max { ri1,ri2,…,ri5, obtain Mr1=r12= 0.487, Mr2=r22=0.912, Mr3=r32=0.405.
Step 6-3：Determine j0, it is desirable to：rij0=MriAnd to all j=j0+1 ..., 5, rij<Mri。
Wherein, in evaluation index i=1, j=2；During i=2, j=2；During i=3, j=2.
Step 6-4：Calculate weighted average S：
Wherein, obtain in evaluation index i=1, S=0.1948；During i=2, S=0.3666；During i=3, S= 0.2601。
Step 6-5：Ask | S-rij0|,|S-ri(j0+1)|,…,|S-ri5| minimum value Sri：Sri=min | S-rij0|,|S- ri(j0+1)|,…,|S-ri5|, obtain Sr1=0.2922, Sr2=0.3616, Sr3=0.051.
Step 6-6：Determine j1, it is desirable to：|S-rij1|=SriAnd to all j=j1+1 ..., 5, | S-rij1|>Sri。
Wherein, obtain in evaluation index i=1, j1=2；During i=2, j1=3；During i=3, j1=4.
Step 6-7：Determine evaluation index i evaluation grade：Evi=j1, obtains Ev1=2, Ev2=3, Ev3=3.
Step 6-8：I=i+1.If i≤3, step 6-2 is transferred to.
Step 6-9：Determine crossing safety state grade.
Wherein, described step 6-9 further comprises：
Step 6-9-1：Determine the weight of 3 evaluation indexes：w1=0.45, w2=0.30, w3=0.25.
Step 6-9-2：Calculate comprehensive assessment result Ev：Obtain Ev=2.55.
Step 6-9-3：CalculateObtain TSI=3.
Step 6-9-4：Output：Crossing safety state grade is TSI.
The crossing safety state grade is then finally assessed for grade 3, as basic security state.
This method, which is established, can more embody the assessment models of level-crossing traffic safety state, and proposes and pass through Cloud model method is solved to the degree of membership of evaluation index, and level-crossing traffic safety state is estimated, preferably full Sufficient level-crossing traffic safety state estimation demand.
A kind of intersection accidents secure state evaluating method provided by the present invention is described in detail above. Specific case used herein is set forth to the principle and embodiment of the present invention, and the explanation of above example is to use Understand the method and its core concept of the present invention in help.It should be pointed out that for those skilled in the art, Under the premise without departing from the principles of the invention, some improvement and modification can also be carried out to the present invention, these improve and modified Fall into the protection domain of the claims in the present invention.

Claims (7)

1. a kind of intersection accidents secure state evaluating method, it is characterised in that including：
Obtain the evaluation index of intersection accidents safe condition；
Set up the basal evaluation standard of intersection accidents safe condition；
The cloud numerical characteristic of evaluation index is determined, evaluation index is set up in each peace by Normal Cloud Generator according to cloud numerical characteristic Degree of membership cloud model in total state grade；
Intersection evaluation index value to be assessed is inputted into degree of membership cloud model, the traffic safety shape of level-crossing is obtained State assessment result.
2. the method as described in claim 1, it is characterised in that the evaluation index includes vehicle and enters intersection speed index V, into intersection integrate rate index P violating the regulations, intersection pavement roughness index RSR；
Wherein, V=| va-vb|, V unit is km/h；vaTo enter 85% speed on the speed cummulative frequency curve of intersection；vb The road speed designed for intersection；
P unit is percentage；
Intersection pavement roughness index RSR is m/km from international flatness degree index IRI, RSR unit；
Wherein, V ∈ (0,30], P ∈ (0.0,1.0], RSR ∈ (0.0,4.6].
3. method as claimed in claim 2, it is characterised in that comment on the basis for setting up intersection accidents safe condition Estimate standard, including：
Intersection traffic safe condition is divided into 5 grades；
Wherein, 5 grades are respectively grade 1, grade 2, grade 3, class 4, class 5；Grade 1 represents the safe shape of intersection traffic State rank is safety；Grade 2 represents that intersection traffic security context level is safer；Grade 3 represents intersection traffic safety Status Level is basic security；Class 4 represents that intersection traffic security context level is dangerous；Class 5 represents to intersect oral sex Logical security context level is danger；
Set up respectively vehicle into intersection speed index V, integrate rate index P violating the regulations into intersection and intersection pavement is smooth Spend the basic grade scale of the corresponding security evaluations of index RSR；
Wherein, the basic grade scale of intersection speed index V security evaluation is：Into intersection The comprehensive violating the regulations rate index P basic grade scale of security evaluation is：Intersection pavement flatness The basic grade scale of index RSR security evaluation is：
4. method as claimed in claim 3, it is characterised in that the cloud numerical characteristic of the determination evaluation index, including：
Determine the cloud model numerical characteristic of evaluation index in 5 grades of intersection traffic safe condition；
Wherein, evaluation index is in the cloud model numerical characteristic of grade 1：Evaluation index is in grade 2 Cloud model numerical characteristic is：Evaluation index is in the cloud model numerical characteristic of grade 3：Evaluation index is in the cloud model numerical characteristic of class 4：Evaluation index It is in the cloud model numerical characteristic of safe class 5：
Wherein, a, b, c, d, e represent that 5 of each evaluation index grade scale are assessed interval boundary value, 5 assessments respectively Interval is：(0, a], (a, b], (b, c], (c, d], (d, e].
5. method as claimed in claim 4, it is characterised in that described to input intersection evaluation index value to be assessed to person in servitude In category degree cloud model, the traffic safety condition evaluation results of level-crossing are obtained, including：
Respectively r is determined in the degree of membership cloud model of evaluation indexijValue, i=1,2,3, j=1,2,3,4,5；Wherein, rijTable Show degrees of membership of the evaluation index i for evaluation grade j；Wherein it is determined that V0Corresponding r11,r12,…,r15, determine P0It is corresponding r21,r22,…,r25, determine RSR0Corresponding r31,r32,…,r35, V0For entrance intersection speed index value, P to be assessed0 Rate desired value violating the regulations, RSR are integrated for entrance intersection to be assessed0For intersection pavement roughness index value to be assessed；
Determine the traffic safety condition evaluation results of level-crossing.
6. method as claimed in claim 5, it is characterised in that the traffic safety state estimation knot of the determination level-crossing Really, including：
Step S1：To each evaluation index i, evaluation index i evaluation grade, initial i=1 are determined；
Step S2：Seek ri1,ri2,…,ri5Maximum Mri：
Wherein, Mri=max { ri1,ri2,…,ri5}；
Step S3：Determine j0, it is desirable to：rij0=MriAnd to all j=j0+1 ..., 5, rij<Mri。
Step S4：Calculate weighted average S：
Wherein,
Step S5：Ask | S-rij0|,|S-ri(j0+1)|,…,|S-ri5| minimum value Sri：
Wherein, Sri=min | S-rij0|,|S-ri(j0+1)|,…,|S-ri5|}；
Step S6：Determine j1, it is desirable to：|S-rij1|=SriAnd to all j=j1+1 ..., 5, | S-rij1|>Sri；
Step S7：Determine evaluation index i evaluation grade：Evi=j1；
Step S8：I=i+1；If i≤3, into step S2；
Step S9：Determine crossing safety state grade.
7. method as claimed in claim 6, it is characterised in that step S9 includes：
Determine the weight of 3 evaluation indexes：w1=0.45, w2=0.30, w3=0.25；
Calculate comprehensive assessment result Ev；Wherein,
Calculate
Output cross mouthful safe condition grade is TSI.
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