CN109086914A - Harmful influence vehicle path planning modeling method based on dynamic domino risk - Google Patents

Harmful influence vehicle path planning modeling method based on dynamic domino risk Download PDF

Info

Publication number
CN109086914A
CN109086914A CN201810766865.7A CN201810766865A CN109086914A CN 109086914 A CN109086914 A CN 109086914A CN 201810766865 A CN201810766865 A CN 201810766865A CN 109086914 A CN109086914 A CN 109086914A
Authority
CN
China
Prior art keywords
accident
risk
domino
section
road
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
Application number
CN201810766865.7A
Other languages
Chinese (zh)
Other versions
CN109086914B (en
Inventor
郑松
王芳
葛铭
郑小青
魏江
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Hangzhou Electronic Science and Technology University
Original Assignee
Hangzhou Electronic Science and Technology University
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Hangzhou Electronic Science and Technology University filed Critical Hangzhou Electronic Science and Technology University
Priority to CN201810766865.7A priority Critical patent/CN109086914B/en
Publication of CN109086914A publication Critical patent/CN109086914A/en
Application granted granted Critical
Publication of CN109086914B publication Critical patent/CN109086914B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q10/00Administration; Management
    • G06Q10/04Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • G06Q10/047Optimisation of routes or paths, e.g. travelling salesman problem
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q10/00Administration; Management
    • G06Q10/08Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G06Q10/083Shipping
    • G06Q10/0832Special goods or special handling procedures, e.g. handling of hazardous or fragile goods
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/26Government or public services
    • G06Q50/265Personal security, identity or safety

Landscapes

  • Business, Economics & Management (AREA)
  • Engineering & Computer Science (AREA)
  • Human Resources & Organizations (AREA)
  • Economics (AREA)
  • Tourism & Hospitality (AREA)
  • Strategic Management (AREA)
  • General Physics & Mathematics (AREA)
  • Marketing (AREA)
  • Development Economics (AREA)
  • Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • Theoretical Computer Science (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Quality & Reliability (AREA)
  • Operations Research (AREA)
  • Game Theory and Decision Science (AREA)
  • Computer Security & Cryptography (AREA)
  • Educational Administration (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Primary Health Care (AREA)
  • Traffic Control Systems (AREA)

Abstract

基于动态多米诺风险的危化品车辆路径规划建模方法,包括:获取危化品车辆运输起始点s与终点e间道路网络以及路径规划相关参数;所述路径规划相关参数包括:道路网络各路段长度、各路段发生交通事故的概率、事故类型,各类型事故权重及影响半径以及事故影响范围周边的人口密度;所述事故类型包括:泄漏、仅事故、火灾以及爆炸;将所述道路网络转化为无向网络节点图,将道路交汇点作为无向网络节点图中的节点,连接各节点之间连通路段,将各节点之间道路长度设为各节点之间路段的基础权重;基于多米诺道路风险值,建立基于动态多米诺风险的危化品车辆路径规划模型。

A modeling method for route planning of hazardous chemicals vehicles based on dynamic domino risk, including: obtaining the road network between the starting point s and the end point e of the transport of hazardous chemicals vehicles and parameters related to route planning; the parameters related to route planning include: each section of the road network length, the probability of traffic accidents on each road section, the type of accident, the weight of each type of accident and the radius of influence, and the population density around the area of influence of the accident; the type of accident includes: leakage, only accident, fire and explosion; the road network is transformed into It is an undirected network node graph, and the road intersection is used as a node in the undirected network node graph to connect the connected road sections between each node, and the length of the road between each node is set as the basic weight of the road section between each node; based on the domino road Risk value, establishing a route planning model for hazardous chemicals vehicles based on dynamic domino risk.

Description

Harmful influence vehicle path planning modeling method based on dynamic domino risk
Technical field
The present invention relates to harmful influence transport fields, in particular to the harmful influence vehicle route rule based on dynamic domino risk Draw modeling method.
Background technique
In in the past few decades, the quantity that the rapid development of chemical industry urges harmful influence transport is quicklyd increase and increasingly Frequently, its grown place of the harmful influence more than 95% and use ground are different, this is dependent on strange land transport.And among this, about 80% depends on land transportation, and the most important thing is accounted in harmful influence transport, and the safety problem of harmful influence transport also becomes increasingly conspicuous.It is relating to The link for partially occurring in transport and in the accident of harmful influence, more than 40%.Harmful influence shipping accident have " low probability, The characteristics of high risk ", can not only cause environment permanent and be difficult to the influence repaired, also be easy to cause weight once accident occurs Big casualties directly generates huge economic loss.However, only considering in previous research for damage sequence Damage sequence, and seldom consider that the second accidents consequences such as explosive fire accident occur.
Lead to generate catastrophic cascade accident in accident communication process and is known as Domino effect, the Sai Wei that European Union promulgates Suo Faling provides authoritative foundation to pay attention to chemical industrial park domino accident, and the decree is respectively at 1996,2003,2012 Year is revised three times, must be added to the evaluation of domino risk in file in the risk assessment of regulation chemical industrial park.With The increase of storage and process device and the density of population, in chemical industry concentration zones, Domino effect is become more and more important.To more meters It is greatly the Communication Research for domino risk in chemical industrial park in the research of promise risk, harmful influence vehicle is being transported It is a mobile danger source during defeated, around it when dangerous source, also there is the risk for causing domino accident.Danger While accident occurs for change product vehicle, it is also possible to the damage sequence of explosion or fire, accident impact range and injury can be caused Radius can greatly increase.If there are other danger sources in its vicinity, the harmful influence storage tank as existing for chemical industrial park itself, by road Gas station, or there are other harmful influence vehicles or coal combustible materials around harmful influence vehicle in such as the first accident, very It is possible that the Domino effect of accident can be caused, more serious destruction is caused.The prior art is directed to harmful influence vehicle path planning The Risk Calculation of problem concentrates on the consequence assessment for harmful influence vehicle occurring traffic accident, and influence factor concentrates on road like Condition, weather, the conventional factors such as population do not consider the Domino effect of accident.
Summary of the invention
It is an object of the present invention to: harmful influence vehicle route is planned, considers that harmful influence vehicle was transporting Cause the risk and road tradition risk of Domino effect in journey, reduce a possibility that accident causes domino accident effect, Provide a kind of harmful influence vehicle path planning modeling method based on dynamic domino risk.
The technical solution adopted by the present invention to solve the technical problems is: the harmful influence vehicle based on dynamic domino risk Path planning modeling method, comprising:
Road network and path planning relevant parameter between acquisition harmful influence vehicle transport starting point s and terminal e;
The path planning relevant parameter include: each road section length of road network, each section occur traffic accident probability, The density of population on accident pattern, all types of accident weights and the radius of influence and accident impact range periphery;
The accident pattern includes: leakage, only accident, fire and explosion;
Undirected networks node diagram is converted by the road network, using road joint as in Undirected networks node diagram Node connects and is connected to section between each node, and link length between each node is set as to the basic weight in section between each node;
Based on domino road value-at-risk, the harmful influence vehicle path planning model based on dynamic domino risk is established.
Further, the domino road value-at-risk is based on road value-at-risk and domino value-at-risk obtains.
Further, the road value-at-risk:
Wherein R(i, j)' it is section i-j value-at-risk, i indicates that start node label, j indicate that terminal node label, l indicate road Section i-j link length;P indicates that the probability of traffic accident occurs in section i-j;r1For the coverage that accident 1 leaks, m1For thing Therefore 1 leaks shared weight;r2For the only accident impact range of accident 2, m2For weight shared by accident 2 only accident;r33 fire shadow of accident Ring range, m3For weight shared by 3 fire of accident;r4For the explosion coverage of accident 4, m4It explodes shared weight for accident 4;Pop is The density of population on accident impact range periphery.
Further, the calculation formula of the domino value-at-risk are as follows:
Wherein, l ' is the road section length that the section i-j may cause domino accident;L is i-j road section length;R is accident The radius of influence;Q is modifying factor;
PDFor dynamic domino risk accidents probability, if referring to, accident occurs for harmful influence vehicle A, causes danger source B and occurs The probability of accident;
Dangerous source B near the section i-j, when harmful influence vehicle A is by section i-j, the distance between B d with A shifting Dynamic variation range is (d1, d2);R indicates that the radius of accident impact range occurs for harmful influence vehicle A;
Harmful influence vehicle A enters in l ' range, and as d < r, the influence model of accident occurs in harmful influence vehicle A for danger source B In enclosing, PD> 0;
When harmful influence vehicle A is located at remaining section d > r, danger source B is outside the coverage that accident occurs for A, PD=0.
Further, the calculating domino road value-at-risk:
When fire incident and explosion accident occurs, there is the risk for causing domino accident, in conjunction with formula (3-1) (3-2) (3-3) obtains the road value-at-risk i.e. calculation formula of domino road value-at-risk that domino risk is added are as follows:
Wherein: R(i, j)" indicate the section the i-j value-at-risk that domino risk is added, l '13 fire of accident may in the section Cause the road section length of domino accident;l′2Accident 4, which is exploded, in the section may cause the road section length of domino accident;PD1 For the probability that 3 fire of accident causes domino accident occurs in the section;PD2Cause more meters for the explosion of accident 4 occurs in the section The probability of promise accident;r5For domino accident impact range caused by 3 fire of accident;r6Domino thing caused by exploding for accident 4 Therefore coverage;Pop is the density of population on accident impact range periphery.
Further, the harmful influence vehicle path planning model of the dynamic domino risk:
The minimum objective function of value-at-risk of model planning path to realize;
First constraint condition indicates path by starting point i=s, terminates when to terminal node j=e, during which passed through The basic weight for crossing section is cumulative;
Second constraint condition indicates that section basis weight is constrained by connection matrix D;
Third constraint condition indicate institute by section value-at-risk add up;
The connection matrix D:
Wherein, n is the number of nodes of the Undirected networks node diagram, and d (i, j) indicates the weight between node i-j, if i-j Between be not connected to then d (i, j) be 0.
Substantial effect of the invention: the meter of dynamic domino risk is added in the path planning problem of harmful influence by the present invention It calculates, considers that harmful influence vehicle causes the risk of Domino effect and road tradition risk, reduction accident to be drawn during transportation A possibility that sending out domino accident effect, establishes the harmful influence vehicle path planning modeling side based on dynamic domino risk Method, risk can be established using this method lower, the higher harmful influence vehicle path planning model of safety coefficient.
Detailed description of the invention
Fig. 1 is the Undirected networks node diagram of the embodiment of the present invention.
Fig. 2 is dynamic domino risk computation model figure of the present invention.
Specific embodiment
Below by specific embodiment, and in conjunction with attached drawing, technical scheme of the present invention will be further explained in detail.
Harmful influence vehicle path planning modeling method based on dynamic domino risk, comprising:
Step 1: obtaining road network and path planning relevant parameter between harmful influence vehicle transport starting point s and terminal e;
The path planning relevant parameter include: each road section length of road network, each section occur traffic accident probability, The density of population on accident pattern, all types of accident weights and the radius of influence and accident impact range periphery;
In traditional road value-at-risk calculates, it is contemplated that the influence area of accident is sent out in harmful influence transportational process Raw accident can be divided into leakage, only accident, fire, and four seed types of exploding respectively correspond accident 1, accident 2, accident 3, accident 4;
Step 2: as shown in Figure 1, Undirected networks node diagram is converted by the road network, using road joint as nothing Node into network node figure connects and is connected to section between each node, by link length between each node be set as each node it Between section basic weight;
Step 3: calculating road value-at-risk;
Road value-at-risk:
Wherein R(i, j)' it is section i-j value-at-risk, i indicates that start node label, j indicate that terminal node label, l indicate road Section i-j link length;P indicates that the probability of traffic accident occurs in section i-j;r1For the coverage that accident 1 leaks, m1For thing Therefore 1 leaks shared weight;r2For the only accident impact range of accident 2, m2For weight shared by accident 2 only accident;r33 fire shadow of accident Ring range, m3For weight shared by 3 fire of accident;r4For the explosion coverage of accident 4, m4It explodes shared weight for accident 4;Pop is The density of population on accident impact range periphery.
Step 4: calculating domino value-at-risk;
The calculation formula of domino value-at-risk are as follows:
As shown in Fig. 2, l ' is the road section length that the section i-j may cause domino accident;L is i-j road section length;R is The radius of influence of accident;Q is modifying factor;Calculate coefficient when domino value-at-riskIt will can cause the road of domino accident Segment length is l ' divided by total road section length l, i.e., average to the risk for the part way that can cause domino accident in section entirety.
PDFor dynamic domino risk accidents probability, if referring to, accident occurs for harmful influence vehicle A, causes danger source B and occurs The probability of accident;
Dangerous source B near the section i-j, when harmful influence vehicle A is by section i-j, the distance between B d with A shifting Dynamic variation range is (d1, d2);R indicates that the radius of accident impact range occurs for harmful influence vehicle A;
Harmful influence vehicle A enters in l ' range, and as d < r, the influence model of accident occurs in harmful influence vehicle A for danger source B In enclosing, PD> 0;
When harmful influence vehicle A is located at remaining section d > r, danger source B is outside the coverage that accident occurs for A, PD=0.
Step 5: calculating domino road value-at-risk;
When fire incident and explosion accident occurs, there is the risk for causing domino accident, in conjunction with formula (3-1) (3-2) (3-3) obtains the road value-at-risk i.e. calculation formula of domino road value-at-risk that domino risk is added are as follows:
Wherein: R(i, j)" indicate the section the i-j value-at-risk that domino risk is added, l '13 fire of accident may in the section Cause the road section length of domino accident;l′2Accident 4, which is exploded, in the section may cause the road section length of domino accident;PD1 For the probability that 3 fire of accident causes domino accident occurs in the section;PD2Cause more meters for the explosion of accident 4 occurs in the section The probability of promise accident;r5For domino accident impact range caused by 3 fire of accident;r6Domino thing caused by exploding for accident 4 Therefore coverage;Pop is the density of population on accident impact range periphery.
Step 6: being based on the domino road value-at-risk, establish the harmful influence vehicle route based on dynamic domino risk Plan model.
The harmful influence vehicle path planning model of dynamic domino risk are as follows:
The minimum objective function of value-at-risk of model planning path to realize;
First constraint condition indicates path by starting point i=s, terminates when to terminal node j=e, during which passed through The basic weight for crossing section is cumulative;
Second constraint condition indicates that section basis weight is constrained by connection matrix D;
Third constraint condition indicate institute by section value-at-risk add up;
The connection matrix D:
Wherein, n is the number of nodes of the Undirected networks node diagram, and d (i, j) indicates the weight between node i-j, if i-j Between be not connected to then d (i, j) be 0.
Embodiment described above is a kind of preferable scheme of the invention, not makees limit in any form to the present invention System, there are also other variants and remodeling on the premise of not exceeding the technical scheme recorded in the claims.

Claims (6)

1. the harmful influence vehicle path planning modeling method based on dynamic domino risk characterized by comprising
Road network and path planning relevant parameter between acquisition harmful influence vehicle transport starting point s and terminal e;
The path planning relevant parameter includes: each road section length of road network, the probability of each section generation traffic accident, accident The density of population on type, all types of accident weights and the radius of influence and accident impact range periphery;
The accident pattern includes: leakage, only accident, fire and explosion;
Undirected networks node diagram is converted by the road network, using road joint as the node in road network, connection It is connected to section between each node, link length between each node is set as to the basic weight in section between each node;
Based on domino road value-at-risk, the harmful influence vehicle path planning model based on dynamic domino risk is established.
2. the harmful influence vehicle path planning modeling method according to claim 1 based on dynamic domino risk, special Sign is that the domino road value-at-risk is based on road value-at-risk and domino value-at-risk obtains.
3. the harmful influence vehicle path planning modeling method according to claim 1 or 2 based on dynamic domino risk, institute State road value-at-risk are as follows:
Wherein R(i, j)' it is section i-j value-at-risk, i indicates that start node label, j indicate that terminal node label, l indicate section i-j Link length;P indicates that the probability of traffic accident occurs in section i-j;r1For the coverage that accident 1 leaks, m1It is let out for accident 1 Leak shared weight;r2For the only accident impact range of accident 2, m2For weight shared by accident 2 only accident;r33 influence of fire model of accident It encloses, m3For weight shared by 3 fire of accident;r4For the explosion coverage of accident 4, m4It explodes shared weight for accident 4;Pop is accident The density of population on coverage periphery.
4. the harmful influence vehicle path planning modeling method according to claim 2 or 3 based on dynamic domino risk, It is characterized in that, the calculation formula of the domino value-at-risk are as follows:
Wherein, l ' is the road section length that the section i-j may cause domino accident;L is i-j road section length;R is the influence of accident Radius;Q is modifying factor;
PDFor dynamic domino risk accidents probability, if referring to, accident occurs for harmful influence vehicle A, causes danger source B and accident occurs Probability;
Dangerous source B near the section i-j, when harmful influence vehicle A is by section i-j, the distance between B d with A mobile change Change range is (d1, d2);R indicates that the radius of accident impact range occurs for harmful influence vehicle A;
Harmful influence vehicle A enters in l ' range, and as d < r, the coverage of accident occurs in harmful influence vehicle A for danger source B It is interior, PD> 0;
When harmful influence vehicle A is located at remaining section d > r, danger source B is outside the coverage that accident occurs for A, PD=0.
5. based on the harmful influence vehicle path planning modeling side of dynamic domino risk according to Claims 2 or 3 or 4 Method, which is characterized in that the calculating domino road value-at-risk:
When fire incident and explosion accident occurs, there is the risk for causing domino accident, in conjunction with formula (3-1) (3-2) (3- 3) the road value-at-risk i.e. calculation formula of domino road value-at-risk that domino risk is added, is obtained are as follows:
Wherein: R(i, j)" indicate the section the i-j value-at-risk that domino risk is added, l '13 fire of accident may cause in the section The road section length of domino accident;l′2Accident 4, which is exploded, in the section may cause the road section length of domino accident;PD1For The probability that 3 fire of accident causes domino accident occurs for the section;PD2Cause domino thing for the explosion of accident 4 occurs in the section Therefore probability;r5For domino accident impact range caused by 3 fire of accident;r6Domino accident shadow caused by exploding for accident 4 Ring range;Pop is the density of population on accident impact range periphery.
6. the harmful influence vehicle path planning modeling method according to claim 5 based on dynamic domino risk, special Sign is, the harmful influence vehicle path planning model of the dynamic domino risk:
The minimum objective function of value-at-risk of model planning path to realize;
First constraint condition indicates path by starting point i=s, terminate when to terminal node j=e, during which institute is through passing by one's way The basic weight of section is cumulative;
Second constraint condition indicates that section basis weight is constrained by connection matrix D;
Third constraint condition indicate institute by section value-at-risk add up;
The connection matrix D:
Wherein, n is the number of nodes of the Undirected networks node diagram, and d (i, j) indicates the weight between node i-j, if between i-j Not being connected to then d (i, j) is 0.
CN201810766865.7A 2018-07-12 2018-07-12 Modeling method for route planning of hazardous chemicals vehicles based on dynamic domino risk Active CN109086914B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201810766865.7A CN109086914B (en) 2018-07-12 2018-07-12 Modeling method for route planning of hazardous chemicals vehicles based on dynamic domino risk

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201810766865.7A CN109086914B (en) 2018-07-12 2018-07-12 Modeling method for route planning of hazardous chemicals vehicles based on dynamic domino risk

Publications (2)

Publication Number Publication Date
CN109086914A true CN109086914A (en) 2018-12-25
CN109086914B CN109086914B (en) 2022-03-25

Family

ID=64837744

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201810766865.7A Active CN109086914B (en) 2018-07-12 2018-07-12 Modeling method for route planning of hazardous chemicals vehicles based on dynamic domino risk

Country Status (1)

Country Link
CN (1) CN109086914B (en)

Cited By (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109948855A (en) * 2019-03-22 2019-06-28 杭州电子科技大学 A transport route planning method for heterogeneous hazardous chemicals with time window
CN110503261A (en) * 2019-08-21 2019-11-26 东北大学 An evacuation route optimization method based on the risk of dust explosion domino hazards
CN110533238A (en) * 2019-08-22 2019-12-03 杭州电子科技大学 Harmful influence vehicle path planning method under two type fuzzy enviroments
CN111324970A (en) * 2020-03-06 2020-06-23 交通运输部水运科学研究所 Port oil tank area individual risk analysis method based on multiple domino effects
CN112926846A (en) * 2021-02-19 2021-06-08 中国石油天然气集团有限公司 Comprehensive risk analysis method for road transportation of dangerous chemicals
CN113313400A (en) * 2021-06-08 2021-08-27 中国石油大学(北京) Accident warning method, accident warning device and storage medium
CN113393108A (en) * 2021-06-07 2021-09-14 中国石油大学(北京) Risk evaluation method for dangerous chemical transport vehicle gathering area
CN113516323A (en) * 2021-09-15 2021-10-19 山东蓝湾新材料有限公司 Transportation path recommendation method
CN115034718A (en) * 2022-06-27 2022-09-09 清云智通(北京)科技有限公司 Hazardous chemical management method, hazardous chemical management system, computing equipment and storage medium
CN117151317A (en) * 2023-02-20 2023-12-01 南昌工程学院 Emergency evacuation optimization method for dangerous article accident road
CN118350641A (en) * 2024-05-07 2024-07-16 上海货天下智能物流科技有限公司 Intelligent logistics monitoring system and method based on big data

Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20040064168A (en) * 2003-01-09 2004-07-16 박희철 Domino Gaming Device
FR2957702A1 (en) * 2010-03-18 2011-09-23 Alcatel Lucent METHOD FOR CATEGORIZING MESSAGES RECEIVED BY A USER OF A CORPORATE SOCIAL NETWORK
CN102387941A (en) * 2009-04-07 2012-03-21 沃尔沃技术公司 Method and system to enhance traffic safety and efficiency for vehicles
CN102880913A (en) * 2012-08-06 2013-01-16 华南理工大学 Discrete island processing method for domino effect of accidents in chemical industrial park
CN103076741A (en) * 2013-01-18 2013-05-01 杭州电子科技大学 Quadric form control method for non-minimum realization of expansion state space in chemical process
CN104317848A (en) * 2014-10-14 2015-01-28 上海市安全生产科学研究所 GIS (Geographic Information System) overlay analysis-based domino accident influence probability analysis method
CN104618506A (en) * 2015-02-24 2015-05-13 庄奇东 Crowd-sourced content delivery network system, method and device
CN105844002A (en) * 2016-03-21 2016-08-10 哈尔滨理工大学 LS-DYNA based method for optimally designing layout of storage tank area of chemical industry park
CN105868884A (en) * 2016-03-07 2016-08-17 天津工业大学 Evaluation method for domino accident prevention of petrochemical storage tank area
CN108171413A (en) * 2017-12-26 2018-06-15 杭州电子科技大学 A kind of chemical industrial park emergency resources method for optimizing configuration

Patent Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20040064168A (en) * 2003-01-09 2004-07-16 박희철 Domino Gaming Device
CN102387941A (en) * 2009-04-07 2012-03-21 沃尔沃技术公司 Method and system to enhance traffic safety and efficiency for vehicles
FR2957702A1 (en) * 2010-03-18 2011-09-23 Alcatel Lucent METHOD FOR CATEGORIZING MESSAGES RECEIVED BY A USER OF A CORPORATE SOCIAL NETWORK
CN102880913A (en) * 2012-08-06 2013-01-16 华南理工大学 Discrete island processing method for domino effect of accidents in chemical industrial park
CN103076741A (en) * 2013-01-18 2013-05-01 杭州电子科技大学 Quadric form control method for non-minimum realization of expansion state space in chemical process
CN104317848A (en) * 2014-10-14 2015-01-28 上海市安全生产科学研究所 GIS (Geographic Information System) overlay analysis-based domino accident influence probability analysis method
CN104618506A (en) * 2015-02-24 2015-05-13 庄奇东 Crowd-sourced content delivery network system, method and device
CN105868884A (en) * 2016-03-07 2016-08-17 天津工业大学 Evaluation method for domino accident prevention of petrochemical storage tank area
CN105844002A (en) * 2016-03-21 2016-08-10 哈尔滨理工大学 LS-DYNA based method for optimally designing layout of storage tank area of chemical industry park
CN108171413A (en) * 2017-12-26 2018-06-15 杭州电子科技大学 A kind of chemical industrial park emergency resources method for optimizing configuration

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
任翠萍: "基于CiteSpace的危险货物运输研究知识图谱分析", 《安全与环境学报》 *

Cited By (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109948855A (en) * 2019-03-22 2019-06-28 杭州电子科技大学 A transport route planning method for heterogeneous hazardous chemicals with time window
CN110503261A (en) * 2019-08-21 2019-11-26 东北大学 An evacuation route optimization method based on the risk of dust explosion domino hazards
CN110533238B (en) * 2019-08-22 2022-08-26 杭州电子科技大学 Method for planning paths of dangerous chemical vehicles in two-type fuzzy environment
CN110533238A (en) * 2019-08-22 2019-12-03 杭州电子科技大学 Harmful influence vehicle path planning method under two type fuzzy enviroments
CN111324970A (en) * 2020-03-06 2020-06-23 交通运输部水运科学研究所 Port oil tank area individual risk analysis method based on multiple domino effects
CN112926846A (en) * 2021-02-19 2021-06-08 中国石油天然气集团有限公司 Comprehensive risk analysis method for road transportation of dangerous chemicals
CN113393108A (en) * 2021-06-07 2021-09-14 中国石油大学(北京) Risk evaluation method for dangerous chemical transport vehicle gathering area
CN113313400A (en) * 2021-06-08 2021-08-27 中国石油大学(北京) Accident warning method, accident warning device and storage medium
CN113313400B (en) * 2021-06-08 2023-12-15 中国石油大学(北京) Accident alarm method, device and storage medium
CN113516323A (en) * 2021-09-15 2021-10-19 山东蓝湾新材料有限公司 Transportation path recommendation method
CN113516323B (en) * 2021-09-15 2021-11-30 山东蓝湾新材料有限公司 Transportation path recommendation method
CN115034718A (en) * 2022-06-27 2022-09-09 清云智通(北京)科技有限公司 Hazardous chemical management method, hazardous chemical management system, computing equipment and storage medium
CN117151317A (en) * 2023-02-20 2023-12-01 南昌工程学院 Emergency evacuation optimization method for dangerous article accident road
CN118350641A (en) * 2024-05-07 2024-07-16 上海货天下智能物流科技有限公司 Intelligent logistics monitoring system and method based on big data

Also Published As

Publication number Publication date
CN109086914B (en) 2022-03-25

Similar Documents

Publication Publication Date Title
CN109086914A (en) Harmful influence vehicle path planning modeling method based on dynamic domino risk
Leonelli et al. New detailed numerical procedures for calculating risk measures in hazardous materials transportation
CN103390201B (en) A kind of Transportation of Dangerous Chemicals hazard prediction method
CN113033885A (en) Multi-type intermodal transport path optimization method and system, storage medium and computer equipment
Weng et al. A quantitative risk assessment model for evaluating hazmat transportation accident risk
Wang et al. An analysis of Interstate freight mode choice between truck and rail: A case study of Maryland, United States
CN104992249B (en) A kind of flood-diversion area hedging metastasis model method for building up under passive flood diversion scene
CN111915131A (en) Gas pipeline protection method and device, electronic equipment and storage medium
CN111784107A (en) Urban lifeline risk assessment method and device
CN103488907A (en) Method for computing third party damage failure probability of natural gas pipeline
Arokoyu et al. Petrol filling stations' location and minimum environmental safety requirements in ObioAkpor LGA, Nigeria
Wang et al. Globalized robust bilevel optimization model for hazmat transport network design considering reliability
CN109816264A (en) A risk assessment method and system for the water environment of a regional sudden river basin
Sun et al. Fuzzy surfacelet neural network evaluation model optimized by adaptive dragonfly algorithm for pipeline network integrity management
CN111967644A (en) Hazardous chemical substance transportation road planning method
Ghashghaei et al. Modeling and prediction of environmental consequences of methanol as the most dangerous goods in ports (Case Study: Bandar Imam Khomeini).
CN103971168A (en) Hazardous chemical transport hazard predicting and controlling system
CN109615228A (en) Calculation method of railway transportation risk probability based on hybrid heuristic rule system
CN114491961A (en) Method, system, device and medium for planning feasible path of diffusion of polluted gas
KR100967389B1 (en) How to choose the optimal transport route for radioactive waste
Ding et al. Research on multi factor coupling accident triggering mechanism and accident risk control of gas pipeline leakage
Imbrechtsa et al. Transport of Dangerous Goods in Flanderss.
Onyema The impact of short-sea shipping on Nigerian economy
Safari et al. A routing model for urban fuel transportation with considering risk
Li Multi-objective path selection for road transportation of dangerous goods

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
EE01 Entry into force of recordation of patent licensing contract

Application publication date: 20181225

Assignee: Hangzhou Baizijian Technology Co.,Ltd.

Assignor: HANGZHOU DIANZI University

Contract record no.: X2025330000013

Denomination of invention: Modeling method for hazardous chemical vehicle path planning based on dynamic domino risk

Granted publication date: 20220325

License type: Common License

Record date: 20250114