CN110390451A - A kind of road traffic safety risk profile pre-warning indexes system - Google Patents
A kind of road traffic safety risk profile pre-warning indexes system Download PDFInfo
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- CN110390451A CN110390451A CN201810347997.6A CN201810347997A CN110390451A CN 110390451 A CN110390451 A CN 110390451A CN 201810347997 A CN201810347997 A CN 201810347997A CN 110390451 A CN110390451 A CN 110390451A
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- 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
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Abstract
The present invention relates to a kind of road traffic safety risk profile pre-warning indexes system technical fields: the technical issues of intelligent transportation solves: mainly for deficiency in the prior art, a kind of road traffic safety risk profile pre-warning indexes system is provided, with solving road traffic safety risk profile early warning problem.A kind of main points of technical solution: road traffic safety risk profile warning index classification method；A kind of road environment monitoring index classification method and standard；A kind of road conditions monitoring index classification method and standard；A kind of transportation condition monitoring index classification method and standard；A kind of vehicle condition monitoring index classification method and standard, a kind of road traffic safety risk class evaluation index.Main application: the method for using early warning pre-control for road traffic safety risk, the effective prevention and the timely rescue after calamity for realizing disaster, to reduce the loss of road disaster bring economy and society.
Description
Technical field
The present invention relates to field of intelligent transportation technology, and in particular to a kind of road traffic safety risk profile warning index body
System.
Summary of the invention
The purpose of the present invention is aiming at the shortcomings in the prior art, provide a kind of road traffic safety risk profile early warning to refer to
Mark system, with solving road traffic safety risk profile early warning problem.
Road traffic safety risk profile early warning system is intended to use the side of early warning pre-control for road traffic safety risk
Method, the effective prevention and the timely rescue after calamity for realizing disaster, to reduce the loss of road disaster bring economy and society.It establishes
Expressway disasters Alarm Assessment index system is that development information monitoring, the basis of early warning analysis and expressway disasters are pre-
The premise of alert management, base support and foundation of the present invention as road traffic safety risk profile early warning system, to road row
The development of vehicle risk profile early warning work is significant.
To achieve the above object, the invention discloses following technical solutions:
A kind of road traffic safety risk profile warning index classification method, comprising: road environment monitoring index, road travel permit
Part monitoring index, transportation condition monitoring index, vehicle condition monitoring index, road traffic safety risk class evaluation index etc..
A kind of road environment monitoring index classification method and standard, comprising: meteorological condition, wind, temperature, humidity etc..
Further, the meteorological condition include the indexs such as negative, fine, rain, snow, mist, moderate rain be divided into again light rain, moderate rain,
Heavy rain；Snow is divided into slight snow, moderate snow, heavy snow；Mist is divided into that red early warning (visibility is less than 50 meters), (visibility is greater than orange warning
50 meters less than 200 meters), yellow early warning (visibility be greater than 200 meters less than 500 meters).
A kind of road conditions monitoring index classification method and standard, comprising: orographic condition, road industrial grade, tunnel feelings
Condition, bridge situation, radius of horizontal curve, longitudinal slope, security attribute, coefficient of road adhesion etc..
Further, the orographic condition includes the indexs such as region of no relief, Plain Wei Qiu, mountain ridge weight mound；The road road technique
Grade includes the indexs such as road, Class I highway, Class II highway, Class III highway, Class IV highway, substandard highway；The tunnel situation
Including super long tunnel (length is greater than 3 kilometers), long tunnel (length is greater than 1 kilometer less than 3 kilometers), (length is greater than medium tunnel
500 meters less than 1 kilometer), the indexs such as short tunnel (length is less than 500 meters)；The bridge situation includes that (length is greater than 1 to grand bridge
Kilometer), bridge (length be greater than 100 meters less than 1 kilometer), jackshaft (length is greater than 30 meters less than 100 meters), (length is greater than 8 to foot bridge
Rice less than 30 meters) etc. indexs；The radius of horizontal curve include small (less than 100 meters), in (be greater than 100 meters less than 400 meters), big
Indexs such as (being greater than 400 meters less than 1000 meters)；The security attribute include whether accident black-spot, it is whether foggy, whether insult jelly etc.
Index；The coefficient of road adhesion include it is small, in, the indexs such as big.
A kind of transportation condition monitoring index classification method and standard, comprising: traffic saturation degree.
Further, the traffic saturation degree refers to the ratio (V/C) of road section traffic volume flow He the road section capacity.
A kind of vehicle condition monitoring index classification method and standard, comprising: lorry specific gravity, hazardous materials transportation vehicle specific gravity
Deng.
A kind of road traffic safety risk class evaluation index, including I grades, II grades, III level, IV grades, V grades etc..
Further, the alert status that I grades of risks represent is red early warning, and occurrence frequency is frequently to occur, and is occurred
Probability interval be [0.3,1)；The alert status that II grades of risks represent is orange warning, and occurrence frequency is possible,
The probability interval of generation be [0.03,03)；The alert status that III level risk represents is yellow early warning, and occurrence frequency is accidental
Occur, occur probability interval be [0.003,0.03)；The alert status that IV grades of risks represent is blue early warning, and frequency occurs
Rate be difficult to happen, occur probability interval be [0.0003,0.003)；The alert status that V grades of risks represent is green pre-
Alert, occurrence frequency is to hardly happen, the probability interval occurred be [0,0.0003).
A kind of road traffic safety risk profile pre-warning indexes system disclosed by the invention, has the advantages that
1. a pair road management behavior is monitored with traffic behavior, identifies, diagnoses, to certain possible misdeeds or can
The traffic imbalance state that can occur is identified and is alerted, and the order of specification road management system is carried out with this.
2. pair traffic administration fault or traffic behavior carry out pre-control and error correction, according to related letter provided by alarm system
Breath carries out the prevention and control of active to the improper fluctuation of road traffic, facilitates self under non-balanced state of road traffic
It is balanced.
3. it determines emphasis monitoring object, prediction is carried out to special traffic activity or identifies and provide effective countermeasure rapidly, it is auxiliary
Help carry out science decision.
Detailed description of the invention
FIG. 1 to FIG. 4 is a kind of road traffic safety risk profile pre-warning indexes system schematic diagram of the present invention.
Specific embodiment
Below by the technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described implementation
Example is only a part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, this field is common
Technical staff's every other embodiment obtained without making creative work belongs to the model that the present invention protects
It encloses.
Core of the invention is to provide a kind of road traffic safety risk profile pre-warning indexes system, is driven a vehicle with solving road
Security risk prediction and warning problem.
Referring to Figure 1~Fig. 4, FIG. 1 to FIG. 4 are a kind of road traffic safety risk profile pre-warning indexes systems of the present invention
Schematic diagram enables RI represent road risk warning indexes, then the value of RI can be determined by following formula:
In formula:
VijFor vehicle condition index weights
RijFor road conditions index weights
EijFor environmental condition index weights
TijFor transportation condition index weights
vi、ri、ei、tiTo monitor type weight, can be determined by analysis or by expert estimation (Delphi) method.Wherein i
The species number for the monitoring index that value range considers under the conditions of being every kind, the value range of j is by the index under every kind of monitoring index
Number determines.
For example, it is assumed that as follows according to casualty data analysis and resulting certain section of road calculating parameter of expert graded: road
Environmental condition index and weight are moderate snow (0.3), wind-force three-level (0.1)；Road conditions index and weight are mountain ridge Chong Qiu
(0.6), Class II highway (0.1), long tunnel (0.3), radius of horizontal curve are small (0.6)；Transportation condition is saturation degree (0.3)；Vehicle
Condition is that lorry specific gravity is low (0.1)；Meteorological condition, wind condition, orographic condition, road industrial grade, tunnel situation, horizontal curve
The weight of the monitoring type such as radius, traffic saturation degree, lorry specific gravity is respectively 0.8,0.3,0.6,0.5,0.3,0.7,1.0,
0.4；RI=0.369 then can be calculated according to formula (1).
In the present embodiment it is assumed that most advantageous and least favorable under the conditions of according to formula (1) calculate resulting RI range for [0,
1.62], for statistical analysis using long-term observational data and accident data, the pass between RI and accident occurrence frequency can be obtained
System, the accident occurrence frequency referring to corresponding to I grades of road traffic safety risk class, II grades, III level, IV grades, V grades, it may be determined that
The corresponding RI value range of each security risk grade.
The above is only a preferred embodiment of the present invention, rather than its limitations；Although should be pointed out that referring to above-mentioned reality
Example is applied to describe the invention in detail, those skilled in the art should understand that, it still can be to above-mentioned each reality
It applies technical solution documented by example to modify, or equivalent substitution of some or all of the technical features；And these
Modification and replacement, do not make the essence of corresponding technical solution depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (11)
1. a kind of road traffic safety risk profile warning index classification method characterized by comprising road environment monitoring refers to
Mark, road conditions monitoring index, transportation condition monitoring index, vehicle condition monitoring index, road traffic safety risk class are commented
Valence index etc..
2. a kind of road traffic safety risk profile warning index classification method according to claim 1, which is characterized in that
The road environment monitoring index classification method and standard, comprising: meteorological condition, wind, temperature, humidity etc..
3. a kind of road traffic safety risk profile warning index classification method according to claim 1, which is characterized in that
The road conditions monitoring index classification method and standard, comprising: orographic condition, road industrial grade, tunnel situation, bridge feelings
Condition, radius of horizontal curve, longitudinal slope, security attribute, coefficient of road adhesion etc..
4. a kind of road traffic safety risk profile warning index classification method according to claim 1, which is characterized in that
The transportation condition monitoring index classification method and standard, comprising: traffic saturation degree.
5. a kind of road traffic safety risk profile warning index classification method according to claim 1, which is characterized in that
The vehicle condition monitoring index classification method and standard, comprising: lorry specific gravity, hazardous materials transportation vehicle specific gravity etc..
6. a kind of road traffic safety risk profile warning index classification method according to claim 1, which is characterized in that
The road traffic safety risk class evaluation index, including I grades, II grades, III level, IV grades, V grades etc..
7. road environment monitoring index classification method according to claim 2 and standard, which is characterized in that the meteorology item
Part includes the indexs such as negative, fine, rain, snow, mist, and moderate rain is divided into light rain, moderate rain, heavy rain again；Snow is divided into slight snow, moderate snow, heavy snow；Mist
It is divided into red early warning (visibility is less than 50 meters), orange warning (visibility be greater than 50 meters less than 200 meters), yellow early warning (can be shown in
Degree is greater than 200 meters less than 500 meters).
8. road conditions monitoring index classification method according to claim 3 and standard, which is characterized in that the landform item
Part includes the indexs such as region of no relief, Plain Wei Qiu, mountain ridge weight mound；The road industrial grade includes road, Class I highway, second level public affairs
The indexs such as road, Class III highway, Class IV highway, substandard highway；The tunnel situation include super long tunnel (length be greater than 3 kilometers),
Long tunnel (length is greater than 1 kilometer less than 3 kilometers), medium tunnel (length is greater than 500 meters less than 1 kilometer), (length is small for short tunnel
In 500 meters) etc. indexs；The bridge situation includes grand bridge (length is greater than 1 kilometer), (length is greater than 100 meters less than 1 to bridge
Kilometer), jackshaft (length be greater than 30 meters less than 100 meters), the indexs such as foot bridge (length is greater than 8 meters less than 30 meters)；The horizontal curve
Radius include small (less than 100 meters), in the indexs such as (be greater than 100 meters less than 400 meters), big (being greater than 400 meters less than 1000 meters)；Institute
State security attribute include whether accident black-spot, it is whether foggy, whether insult jelly etc. indexs；The coefficient of road adhesion include it is small, in,
The indexs such as big.
9. transportation condition monitoring index classification method according to claim 4 and standard, which is characterized in that the traffic is full
The ratio (V/C) of road section traffic volume flow He the road section capacity is referred to degree.
10. transportation condition monitoring index classification method according to claim 4 and standard, which is characterized in that the traffic
Saturation degree refers to the ratio (V/C) of road section traffic volume flow He the road section capacity.
11. road traffic safety risk class evaluation index according to claim 6, which is characterized in that the I grades of risk
The alert status represented is red early warning, and occurrence frequency is frequently to occur, the probability interval occurred be [0.3,1)；II grades
The alert status that risk represents is orange warning, and occurrence frequency is possible, occur probability interval be [0.03,
0.3)；The alert status that III level risk represents is yellow early warning, and occurrence frequency is accidentally to occur, the probability interval occurred
For [0.003,0.03)；The alert status that IV grades of risks represent is blue early warning, and occurrence frequency is to be difficult to happen, and is occurred
Probability interval be [0.0003,0.003)；The alert status that V grades of risks represent is green early warning, and occurrence frequency is hardly to send out
It is raw, the probability interval occurred be [0,0.0003).
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112116780A (en) * | 2020-07-31 | 2020-12-22 | 中标慧安信息技术股份有限公司 | Road icing monitoring and early warning method based on Internet of things |
| CN114023083A (en) * | 2021-09-08 | 2022-02-08 | 杭州永明大科技有限公司 | Road driving safety risk prediction early warning emergency rescue device and method |
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| CN102231231A (en) * | 2011-06-16 | 2011-11-02 | 同济大学 | Area road network traffic safety situation early warning system and method thereof |
| CN106530720A (en) * | 2016-12-28 | 2017-03-22 | 吉林大学 | Highway road traffic safety dark-spot road recognition and early-warning method |
| CN106652562A (en) * | 2017-02-09 | 2017-05-10 | 吉林大学 | Road traffic safety pre-warning method for expressway |
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2018
- 2018-04-18 CN CN201810347997.6A patent/CN110390451A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20110060483A (en) * | 2009-11-30 | 2011-06-08 | 주식회사 제일엔지니어링종합건축사사무소 | Classify the road traffic danger grade method and appatatus and system using forward road state information, traffic state information and vehicle's velocity information |
| CN102231231A (en) * | 2011-06-16 | 2011-11-02 | 同济大学 | Area road network traffic safety situation early warning system and method thereof |
| CN106530720A (en) * | 2016-12-28 | 2017-03-22 | 吉林大学 | Highway road traffic safety dark-spot road recognition and early-warning method |
| CN106652562A (en) * | 2017-02-09 | 2017-05-10 | 吉林大学 | Road traffic safety pre-warning method for expressway |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112116780A (en) * | 2020-07-31 | 2020-12-22 | 中标慧安信息技术股份有限公司 | Road icing monitoring and early warning method based on Internet of things |
| CN114023083A (en) * | 2021-09-08 | 2022-02-08 | 杭州永明大科技有限公司 | Road driving safety risk prediction early warning emergency rescue device and method |
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