CN109035681A - A kind of mountainous area highway freezing environment early warning system and method - Google Patents

A kind of mountainous area highway freezing environment early warning system and method Download PDF

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CN109035681A
CN109035681A CN201810795534.6A CN201810795534A CN109035681A CN 109035681 A CN109035681 A CN 109035681A CN 201810795534 A CN201810795534 A CN 201810795534A CN 109035681 A CN109035681 A CN 109035681A
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road surface
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CN109035681B (en
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郭忠印
宋灿灿
彭翔
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    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B19/00Alarms responsive to two or more different undesired or abnormal conditions, e.g. burglary and fire, abnormal temperature and abnormal rate of flow
    • G08B19/02Alarm responsive to formation or anticipated formation of ice
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/09Arrangements for giving variable traffic instructions
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/09Arrangements for giving variable traffic instructions
    • G08G1/091Traffic information broadcasting

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Abstract

The invention discloses a kind of mountainous area highway freezing environment early warning systems, it is made of the following function system of communication system connection, information monitoring acquisition system, information processing system, DSS, information issuing system and evaluation system, weather information is monitored acquisition sensor by the present invention, road condition information monitoring acquisition sensor, Traffic flow detecting sensor integration one, it is arranged in mountainous area highway least favorable low temperature environment section, effectively overcome current road weather monitoring station and road domain environmental difference, sudden and regional incompatible defect.Acquisition weather information, road condition information and telecommunication flow information data in real time provide data for information processing system and support.DSS is according to the analysis result of information processing system, take into account safety, current horizontal and economic index, it is comprehensive to determine relatively optimal Security Management Countermeasure, and live publication is transmitted to by information issuing system, the final safe and efficient operation for realizing ice-patch surface.

Description

Mountain area highway icing environment early warning system and method
Technical Field
The invention relates to the technical field of highway pavement condition early warning, in particular to a mountain highway icing environment early warning system and method.
Background
After the road surface is coated with ice, the friction coefficient is sharply reduced, and the wet skid resistance is reduced, so that the accident occurrence frequency of the vehicle is increased due to the increase of the braking distance and the out-of-control operation. Statistics indicate that 13.5% of the deaths and 25% of the traffic accidents are due to poor road wet skid conditions. Under the condition of icing or snowing weather, the contact friction between the tire and the road surface is reduced due to the lubrication effect of ice and water, and the traffic accident rate caused by the reduction of the road surface driving performance is increased by 25%. The method has the advantages that meteorological information, road surface information and traffic information in the road area environment can be timely and accurately acquired, and the important importance is brought to effective management and control measures.
At present, although the monitoring station of the meteorological department is completely built, the monitoring station is not suitable for the requirement of traffic service, and is essentially different from the monitoring of severe weather in the road area environment, and is embodied in the following aspects:
(1) sharing differences: the ordinary weather station does not need to upload weather data every minute in real time, and the traffic weather needs to meet the requirement of uploading in real time.
(2) Insufficient space-time density: at present, the space density of an automatic station network of a meteorological department is still too sparse relative to the road traffic condition, and the requirement of traffic meteorological service can not be met far.
(3) Representative deficiency: the arrangement environment of the common automatic weather station needs to consider the ground observation standard, is usually far away from a traffic trunk line, and a monitoring point is not on the traffic trunk line and cannot represent the actual weather condition on the traffic line.
(4) The observation items are not complete: the automatic meteorological stations arranged at present generally do not have the monitoring function of elements such as road surface conditions and the like, and the monitoring items are most important to traffic.
(5) The management and control measures lack rationality: at present, the highway management department lacks the standard of reasonably managing and controlling the frozen pavement. In the case of bad weather such as snowfall in the territory scope, a common management and control strategy is to close the expressway to limit the passage, thereby seriously affecting the service quality and the economic benefit of the expressway.
Considering the uniqueness, the paroxysmal property and the regionality of the highway weather, a special traffic weather monitoring station needs to be built to form a 'road icing condition' monitoring system, so that the real-time monitoring and the real-time uploading of different weather environment parameters, road condition parameters and traffic flow data are realized, and a complete mountain highway icing early warning system and a complete mountain highway icing early warning method are formed.
Disclosure of Invention
The invention aims to solve the problems of mismatching and no representativeness of meteorological information, pavement condition information and traffic information in the range of the highway territory at present, provide an effective monitoring scheme for the mountain highway and construct a corresponding matching system, and provide an early warning method for the icing environment of the mountain highway at the same time to guide the scientific and effective management of relevant departments of the highway.
In order to achieve the purpose, the invention adopts the following technical scheme:
the mountain area highway icing environment early warning system is composed of the following functional systems connected by a communication system:
information monitoring collection system: the system is used for acquiring meteorological information, road surface information and traffic state information of the most unfavorable linear road section and the most unfavorable meteorological road section on the expressway; the system comprises a meteorological monitoring and collecting system, a road surface condition monitoring and collecting system and a traffic information detecting and collecting system;
the information processing system is used for analyzing the data of the meteorological information, the road surface information and the traffic state information acquired by the information monitoring and acquiring system through the computer processing system, extracting safety related information and providing required data for a decision support system and traffic organization and management;
the decision support system is used for forming ice road surface safety management strategies and analyzing and evaluating the ice road surface safety management strategies; after safety related information formed by the information processing system is received, comparing the safety related information with each parameter in the ice road safety management strategy to find out the ice road safety management strategy under the real-time road condition, and sending the ice road safety management strategy to the information issuing system; the analysis and evaluation of the ice road safety management strategy are to evaluate and analyze feasibility and superiority and inferiority of the ice road safety management strategy from the aspects of traffic flow influence, user loss and economy.
The information issuing system is used for accurately issuing the snow pavement early warning information and decision information formed by the decision support system in time, so that the early warning scheme and the decision can be accurately implemented in time, and the issuing mode comprises a variable information board, radio communication and a broadcast television;
the evaluation system is used for periodically evaluating the road safety and feeding back the operation effect of the whole system so as to continuously improve and perfect the system.
The early warning system for the icing environment of the mountain expressway comprises a weather monitoring and collecting system, a weather condition monitoring sensor, an air temperature and humidity sensor and a visibility sensor, wherein the weather monitoring and collecting system comprises a weather phenomenon monitoring sensor, an air temperature and humidity sensor and a visibility sensor; the road surface state monitoring system comprises a remote sensing type road surface state sensor; the traffic information monitoring and collecting system comprises a flow monitoring station and an underground induction coil; the weather phenomenon monitoring sensor is used for monitoring the type and the intensity of rainfall; the air temperature and humidity sensor is used for monitoring air temperature and humidity; the visibility sensor is used for monitoring visibility in a road area environment; the remote sensing type road surface state sensor is used for collecting characteristic values of the accumulated snow road surface, and comprises road surface temperature, water film thickness, ice layer surface temperature and ice layer thickness; the traffic information monitoring and collecting system is used for monitoring traffic composition, traffic flow and vehicle running speed.
The mountain area highway icing environment early warning system is characterized in that the information monitoring and collecting system and the information publishing system are arranged on the most unfavorable linear road section and the most unfavorable meteorological road section of the highway, and the most unfavorable linear road section and the most unfavorable meteorological road section of the highway are a small-radius curve section, a bridge body section and a tunnel entrance and exit section.
The information processing system calculates and analyzes the weather, road and traffic state information acquired by the information monitoring and acquiring system through the computer processing system to obtain the safety related information required by the traffic organization and management and decision support system, wherein the safety related information comprises wind speed and direction, air temperature and humidity, road surface temperature, ice layer thickness, traffic flow, vehicle running speed, road surface friction coefficient and icing time interval within a road area range.
The mountain highway icing environment early warning system is characterized in that the road surface friction coefficient is divided into a thin ice road surface, a thick ice road surface and an ice-water mixture road surface according to the relative position of an ice layer and the surface state of the ice layer, and the road surface friction coefficient in the corresponding state is calculated according to the road surface friction coefficient and is subjected to early warning classification;
the relationship between the friction coefficient of the thin ice pavement and the surface temperature and thickness of the ice layer is shown as the formula (1); the relationship between the friction coefficient of the thick-layer ice pavement and the surface temperature of the ice layer is shown as a formula (2); the friction coefficient of the ice-water mixture pavement is shown as formulas (3) and (4);
(1)
in the formula,-thin layer ice road friction coefficient;a 1 、b 1 、 c 1 、 a 2 、b 2 、c 2 、d 2 -a parameter related to the road surface type;h-ice layer thickness (mm);tsurface temperature of the ice layer (0C)。
(2)
In the formula,µ-coefficient of friction for thick-layer ice road surfaces;a、b、 c-a parameter related to the road surface type;tsurface temperature of the ice layer (0C)。
In the formula, muAC-16、µOGFC-16-road friction coefficients of AC-16, OGFC-16 under ice water mixture conditions;T i surface temperature of the ice layer (0C);H i -ice layer thickness (mm);H w -thickness (mm) of water film on ice layer surface;
the grading standard of the icy and slippery road surface comprises the following steps: the early warning system comprises an extra-severe slippery road surface (f = 0-0.1), a severe slippery road surface (f =0.1-0.2), a more-severe slippery road surface (f =0.1-0.3) and a general slippery road surface (f = 0.3-0.4), wherein the early warning signals are divided into four grades according to the extra-severe slippery road surface, the more-severe slippery road surface and the general slippery road surface, and the colors are red, orange, yellow and blue in sequence.
According to the mountain expressway icing environment early warning system, the icing road surface safety management strategy in the decision support system analyzes and simulates driving characteristics under coupling effects of different line shapes, different friction coefficients and different driving behaviors by using ADAMS/car simulation software according to a vehicle driving dynamics stability standard, and determines vehicle safety operation standards under different working conditions, wherein the vehicle safety operation standards comprise a flat curve section safety operation speed standard under different friction coefficients, a safety operation speed and acceleration of a straight line section vehicle in a lane change process, and a vehicle safety operation acceleration under a tunnel entrance and exit section friction coefficient mutation state.
In the mountain highway icing environment early warning system, the decision support system further comprises a countermeasure evaluation stage, and the feasibility and the advantages of the countermeasures are evaluated and analyzed from the perspective of traffic flow influence, user loss and economy in the countermeasure evaluation; wherein, the traffic flow influence refers to the corresponding safe allowable traffic capacity determined according to the operation standardQ s Traffic flow with road sectionQ f And (6) comparing. Wherein,Q s =K s ×V s K s representing the traffic density (vehicles/kilometer),V s a safe-running vehicle speed is indicated,Q s the safety allowable traffic capacity of the snowy road surface is shown. If it isQ s <Q f If the road section is congested, delay information needs to be issued and vehicles need to be informed to drive around the road network besides the entrance for limiting the speed and the distance of the vehicles; if it isQ s >Q f Then limit is performed at the entranceThe speed and the distance are regularly managed; the user loss refers to delay time and material cost; economy refers to the comparative analysis of the loss due to a traffic accident versus the capital invested in preventing the accident.
The mountain expressway icing environment early warning system is characterized in that an icing road surface safety management strategy comprises road traffic control measures and road engineering measures, wherein the road traffic control measures comprise measures such as setting of warning signs, speed limit, vehicle type limitation, vehicle distance control, ramp control, traffic induction and closing and the like;
the early warning system for the icing environment of the mountain expressway is characterized in that the icing time interval aims at a local wet low-temperature road section, and the icing starting time and the icing finishing time of the structures of the cement concrete pavement and the asphalt concrete pavement at different temperatures are estimated according to an indoor simulation experiment.
Advantageous effects
The invention integrates the meteorological information monitoring and collecting sensor, the road surface condition information monitoring and collecting sensor and the traffic flow detection sensor into a whole, and arranges the meteorological information monitoring and collecting sensor, the road surface condition information monitoring and collecting sensor and the traffic flow detection sensor on the least favorable low-temperature environment road section of the highway in the mountainous area, thereby effectively overcoming the defects of the prior highway meteorological monitoring station that the meteorological monitoring station is not adaptive to the road area environment difference, the paroxysmal property and the regionali. And weather information, road surface condition information and traffic flow information data are collected in real time, and data support is provided for the information processing system. The decision support system gives consideration to safety, traffic level and economic indexes according to the analysis result of the information processing system, comprehensively determines relatively optimal safety management strategies, transmits the strategies to a field through the information issuing system, and finally realizes safe and efficient operation of the frozen road.
Compared with the prior art, the invention has the following effective effects:
(1) according to the analysis of the information monitoring layer, aiming at the difference, the burst property and the regionality of the highway road domain environment, the invention arranges a meteorological sensor, a remote sensing type road surface condition sensor and a traffic information sensor on the lowest unfavorable low-temperature road section in the longitudinal direction of the highway, collects, stores and transmits the meteorological data, the road surface condition data and the traffic flow data in real time, and ensures the comprehensiveness, the representativeness and the effectiveness of the data collection.
(2) Analyzing from the aspect of system characteristics: the invention relates to a mountain area highway icing early warning system, which is a system comprising static monitoring and sensing equipment. Because the on-site monitoring equipment is arranged outside the hard road shoulder, the maintenance and replacement of the equipment are convenient, and the interference to the traffic flow of the highway is avoided. The system has the advantages of comprehensive functions, less interference factors and high accuracy.
(3) According to the method, analysis is carried out on the early warning method level, the ADAMS/car simulation software is utilized to analyze and simulate the driving characteristics under the coupling action of different linear shapes, different friction coefficients and different driving behaviors according to the icing condition of the whole road section based on the stability analysis of the driving dynamics of the vehicle, and the safe operation standards of the vehicle under different working conditions, including the safe operation speed of the vehicle and the safe operation acceleration and deceleration of the vehicle, are determined. The method can quickly and accurately determine the safe operation standard according to the data acquired in real time, and intuitively and effectively issue the early warning information to the driver. The method and the system aim at the local road section which is easy to freeze, carry out early warning on the icing time interval based on indoor experiments, and are beneficial to improving the management efficiency of relevant departments of the expressway.
(4) From the analysis of the market benefit, along with the increase of the total mileage of the highway in the mountainous area, the system can effectively reduce the occurrence rate of traffic accidents in the future and exert the social and economic benefits of the highway to a greater extent.
Detailed Description
The present invention is further described below.
The invention relates to a mountain area highway icing early warning system and a mountain area highway icing early warning method.
The information monitoring and collecting system comprises a meteorological monitoring and collecting system, a road surface condition monitoring and collecting system and a traffic information detecting and collecting system. The meteorological monitoring and collecting system comprises a weather phenomenon monitoring sensor, an air temperature and humidity sensor and a wind speed and direction sensor; the road surface state monitoring system comprises a remote sensing type road surface state sensor; the traffic information monitoring and collecting system comprises a flow monitoring station and an underground induction coil. The weather phenomenon monitoring sensor is used for monitoring the type of precipitation; the air temperature and humidity sensor is used for monitoring the air temperature and humidity; the wind speed and direction sensor is used for measuring the wind speed and direction of air in different environments; the remote sensing type pavement state sensor is used for collecting pavement characteristic values including road surface temperature, water film thickness, ice layer surface temperature and ice layer thickness. The traffic information monitoring and collecting system is used for monitoring traffic flow and vehicle running speed.
The information processing system is used as the core of the road icing early warning system, and has the function of analyzing collected weather, road and traffic state information through the computer processing system to obtain safety related information required by a traffic organization and management and decision support system, wherein the safety related information comprises wind speed and direction, air temperature and humidity, road surface temperature, ice layer thickness, traffic flow, vehicle running speed, road friction coefficient and icing time interval within a road area range.
The decision support system is used for forming ice road surface safety management strategies and analyzing and evaluating the ice road surface safety management strategies; after safety related information formed by the information processing system is received, comparing the safety related information with each parameter in the ice road safety management strategy to find out the ice road safety management strategy under the real-time road condition, and sending the ice road safety management strategy to the information issuing system; the analysis and evaluation of the ice road safety management strategy are to evaluate and analyze feasibility and superiority and inferiority of the ice road safety management strategy from the aspects of traffic flow influence, user loss and economy.
The method comprises the following steps of calculating the friction coefficient of the road surface in the corresponding state according to the relative position of the ice layer and the surface state of the ice layer, wherein the different ice road surfaces are divided into a thin ice road surface, a thick ice road surface and an ice-water mixture road surface according to the relative position of the ice layer and the surface state of the ice layer, and early warning classification is carried out.
The road surface friction coefficient calculation model is obtained by processing data obtained by indoor simulation experiments. The relationship between the friction coefficient of the thin ice pavement and the surface temperature and thickness of the ice layer is shown as the formula (1); the relationship between the friction coefficient of the thick-layer ice pavement and the surface temperature of the ice layer is shown as the formula (2). The friction coefficient of the ice-water mixture pavement is shown as formulas (3) and (4).
(1)
In the formula,-thin layer ice road friction coefficient;a 1 、b 1 、 c 1 、 a 2 、b 2 、c 2 、d 2 -a parameter related to the road surface type;h-ice layer thickness (mm);tsurface temperature of the ice layer (0C)。
(2)
In the formula,-coefficient of friction for thick-layer ice road surfaces;a、b、 c-a parameter related to the road surface type;tsurface temperature of the ice layer (0C)。
In the formula, muAC-16、µOGFC-16-road friction coefficients of AC-16, OGFC-16 under ice water mixture conditions;T i surface temperature of the ice layer (0C);H i -ice layer thickness (mm);H w -thickness (mm) of water film on ice layer surface.
The grading standard of the icy and slippery road surface comprises the following steps: the early warning signal is divided into four grades correspondingly according to the severity of the slippery, and the colors of the early warning signal are red, orange, yellow and blue in sequence.
After the information processing system finishes analyzing and analyzing the data, the decision support system is needed to determine reasonable control measures according to the analysis result. The decision support system comprises a strategy seeking stage, a strategy evaluation stage and an implementation and feedback decision stage. The method has the function of ensuring the safe and effective operation of the traffic flow on the frozen road. The decision making is determined according to the research result of the safe driving control standard of the icy road. The decision analysis model gives consideration to indexes such as safety, traffic capacity and economy, and comprehensively considers to make relatively optimal safety management strategies.
The stage of seeking the countermeasure refers to seeking the safe operation standard and the management and control scheme of the vehicle. And (3) predicting the time for the cement concrete pavement and the asphalt concrete pavement to freeze and the time for completing the freezing at different temperatures according to indoor simulation experiments on the local humid low-temperature road section. The specific time is detailed in tables 1 and 2. According to the icing condition of the whole road section, according to the stability standard of the vehicle running dynamics, ADAMS/car simulation software is utilized to analyze and simulate running characteristics under the coupling action of different linear shapes, different friction coefficients and different driving behaviors, and vehicle safe running standards under different working conditions are determined, wherein the vehicle safe running standards comprise a flat curve section safe running speed standard under different friction coefficients, a straight section vehicle lane changing process safe running speed and acceleration, and a tunnel entrance and exit friction coefficient mutation state vehicle safe running acceleration, and the specific standards are detailed in tables 3, 4 and 5.
After the countermeasure seeking stage is completed, an evaluation stage of countermeasures is required. Because the management strategy of the road icing early warning system adopts more methods of speed limit and vehicle distance control in traffic control measures, the method mainly evaluates and analyzes the feasibility and the advantages of the strategy from the aspects of traffic flow influence, user loss and economy. Wherein, the traffic flow influence refers to the corresponding safe allowable traffic capacity determined according to the operation standardQ s Traffic flow with road sectionQ f And (6) comparing. Wherein,Q s =K s ×V s K s representing the traffic density (vehicles/kilometer),V s a safe-running vehicle speed is indicated,Q s indicating the safe allowable traffic capacity of the ice road. If it isQ s <Q f If the road section is congested, the vehicle speed and the vehicle distance are limited at the entrance, and delay information is issued to the surrounding road network and the vehicle is informed to drive around the road. If it isQ s >Q f The entrance is subjected to the conventional management of limiting the vehicle speed and the vehicle distance. The user loss refers to delay time and material cost; economy refers to the comparative analysis of the loss due to a traffic accident versus the capital invested in preventing the accident.
After the strategy evaluation phase is completed, a decision-making implementation phase is required. Specific control strategies are detailed in table 3.
The information issuing system comprises a variable information board, radio communication and a broadcast television, and has the functions of accurately issuing the icing early warning information and decision information in time and ensuring the timely and accurate implementation of the early warning scheme and decision.
The evaluation system is used for periodically evaluating the road safety and feeding back the operation effect of the system so as to continuously improve and perfect the system.

Claims (9)

1. The utility model provides a mountain area highway freezes environment early warning system which characterized in that: the system is composed of the following functional systems connected by a communication system:
information monitoring collection system: the system is used for acquiring meteorological information, road surface information and traffic state information of the most unfavorable linear road section and the most unfavorable meteorological road section on the expressway; the system comprises a meteorological monitoring and collecting system, a road surface condition monitoring and collecting system and a traffic information detecting and collecting system;
the information processing system is used for analyzing the data of the meteorological information, the road surface information and the traffic state information acquired by the information monitoring and acquiring system through the computer processing system, extracting safety related information and providing required data for a decision support system and traffic organization and management;
the decision support system is used for forming ice road surface safety management strategies and analyzing and evaluating the ice road surface safety management strategies; after safety related information formed by the information processing system is received, comparing the safety related information with each parameter in the ice road safety management strategy to find out the ice road safety management strategy under the real-time road condition, and sending the ice road safety management strategy to the information issuing system; the analysis and evaluation of the ice road safety management strategy are to evaluate and analyze the feasibility and the superiority and inferiority of the ice road safety management strategy from the aspects of traffic flow influence, user loss and economy;
the information issuing system is used for accurately issuing the snow pavement early warning information and decision information formed by the decision support system in time, so that the early warning scheme and the decision can be accurately implemented in time, and the issuing mode comprises a variable information board, radio communication and a broadcast television;
the evaluation system is used for periodically evaluating the road safety and feeding back the operation effect of the whole system so as to continuously improve and perfect the system.
2. The mountain area highway icing environment early warning system according to claim 1, wherein: the meteorological monitoring and collecting system comprises a weather phenomenon monitoring sensor, an air temperature and humidity sensor and a visibility sensor; the road surface state monitoring system comprises a remote sensing type road surface state sensor; the traffic information monitoring and collecting system comprises a flow monitoring station and an underground induction coil; the weather phenomenon monitoring sensor is used for monitoring the type and the intensity of rainfall; the air temperature and humidity sensor is used for monitoring air temperature and humidity; the visibility sensor is used for monitoring visibility in a road area environment; the remote sensing type road surface state sensor is used for collecting characteristic values of the accumulated snow road surface, and comprises road surface temperature, water film thickness, ice layer surface temperature and ice layer thickness; the traffic information monitoring and collecting system is used for monitoring traffic composition, traffic flow and vehicle running speed.
3. The mountain area highway icing environment early warning system according to claim 1 or 2, wherein: the information monitoring and collecting system and the information publishing system are arranged on the most unfavorable linear road section and the most unfavorable meteorological road section of the road, and the most unfavorable linear road section and the most unfavorable meteorological road section of the road are a small-radius curve section, a bridge body section and a tunnel entrance and exit section.
4. The mountain area highway icing environment early warning system according to claim 3, wherein: the information processing system calculates and analyzes the weather, road and traffic state information acquired by the information monitoring and acquiring system through the computer processing system to obtain the safety related information required by the traffic organization and management and decision support system, wherein the safety related information comprises wind speed and direction, air temperature and humidity, road surface temperature, ice layer thickness, traffic flow, vehicle running speed, road surface friction coefficient and icing time course within a road domain range.
5. The mountain area highway icing environment early warning system according to claim 4, wherein: the pavement friction coefficient is divided into a thin-layer ice pavement, a thick-layer ice pavement and an ice-water mixture pavement according to the relative position of the ice layer and the surface state of the ice layer, and the pavement friction coefficient in the corresponding state is calculated according to the thin-layer ice pavement, the thick-layer ice pavement and the ice-water mixture pavement, and early warning classification is carried out;
the relationship between the friction coefficient of the thin ice pavement and the surface temperature and thickness of the ice layer is shown as the formula (1); the relationship between the friction coefficient of the thick-layer ice pavement and the surface temperature of the ice layer is shown as a formula (2); the friction coefficient of the ice-water mixture pavement is shown as formulas (3) and (4);
(1)
in the formula,-thin layer ice road friction coefficient;a 1 、b 1 、 c 1 、 a 2 、b 2 、c 2 、d 2 -a parameter related to the road surface type;h-ice layer thickness (mm);tsurface temperature of the ice layer (0C)
(2)
In the formula,µ-coefficient of friction for thick-layer ice road surfaces;a、b、 c-a parameter related to the road surface type;tsurface temperature of the ice layer (0C)
In the formula, muAC-16、µOGFC-16-road friction coefficients of AC-16, OGFC-16 under ice water mixture conditions;T i surface temperature of the ice layer (0C);H i -ice layer thickness (mm);H w -thickness (mm) of water film on ice layer surface;
the grading standard of the icy and slippery road surface comprises the following steps: the early warning system comprises an extra-severe slippery road surface (f = 0-0.1), a severe slippery road surface (f =0.1-0.2), a more-severe slippery road surface (f =0.1-0.3) and a general slippery road surface (f = 0.3-0.4), wherein the early warning signals are divided into four grades according to the extra-severe slippery road surface, the more-severe slippery road surface and the general slippery road surface, and the colors of the grades are red, orange, yellow and blue in sequence.
6. The mountain area highway icing environment early warning system according to claim 1, wherein: the method is characterized in that the safety management strategy of the ice road surface in the decision support system utilizes ADAMS/car simulation software to analyze and simulate driving characteristics under coupling action of different linear shapes, different friction coefficients and different driving behaviors according to the stability standard of the driving dynamics of the vehicle, and determines the safety operation standards of the vehicle under different working conditions, including the safety operation speed standard of a flat curve section under different friction coefficients, the safety operation speed and acceleration of a straight-line vehicle in a lane changing process and the safety operation acceleration of the vehicle under a sudden change state of the friction coefficients of a tunnel entrance section and a tunnel exit section.
7. The mountain area highway icing environment early warning system according to claim 6, wherein: the decision support system also comprises a strategy evaluation stage, wherein the strategy evaluation evaluates and analyzes the feasibility and the advantages and disadvantages of strategies from the aspects of traffic flow influence, user loss and economy; wherein, the traffic flow influence refers to the corresponding safe allowable traffic capacity determined according to the operation standardQ s Traffic flow with road sectionQ f Comparing;
wherein,Q s =K s ×V s K s representing the traffic density (vehicles/kilometer),V s a safe-running vehicle speed is indicated,Q s the safety allowable traffic capacity of the snow-covered road surface is represented;
if it isQ s <Q f If the road section is congested, delay information needs to be issued and vehicles need to be informed to drive around the road network besides the entrance for limiting the speed and the distance of the vehicles; if it isQ s >Q f If so, performing the conventional management of limiting the vehicle speed and the vehicle distance at the entrance; the user loss refers to delay time and material cost; economy refers to the comparative analysis of the loss due to a traffic accident versus the capital invested in preventing the accident.
8. The mountain area highway icing environment early warning system according to claim 6 or 7, wherein: the ice road surface safety management countermeasure comprises a road traffic control measure and a road engineering measure, wherein the road traffic control measure comprises the measures of setting warning signs, limiting speed, limiting vehicle type, controlling vehicle distance, controlling ramp, inducing traffic, closing traffic and the like.
9. The mountain area highway icing environment early warning system according to claim 4, wherein: the icing time interval aims at a local humid low-temperature road section, and the icing starting time and the icing finishing time of the structures of the cement concrete pavement and the asphalt concrete pavement at different temperatures are estimated according to an indoor simulation experiment.
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CN109872553A (en) * 2019-03-13 2019-06-11 中电共建科技(北京)有限公司 A kind of safety pre-warning system and method for converging
CN110211325A (en) * 2019-06-27 2019-09-06 上海同望信息技术有限公司 A kind of area road icing high precision monitor early warning system based on meteorological big data
CN113129549B (en) * 2019-12-31 2024-02-23 北京四维智联科技有限公司 Road icing prediction method and system
CN113129549A (en) * 2019-12-31 2021-07-16 北京四维智联科技有限公司 Road icing prediction method and system
CN111445710A (en) * 2020-04-02 2020-07-24 齐鲁交通信息集团有限公司 Road automatic control method in severe weather
CN111524368A (en) * 2020-04-16 2020-08-11 东南大学 Road surface anti-skid real-time monitoring and early warning system for rainy and snowy weather
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
CN113718673A (en) * 2021-09-07 2021-11-30 山西省交通运输安全应急保障技术中心(有限公司) Road icing early warning and automatic disposal system and method
CN114387794A (en) * 2022-01-17 2022-04-22 南京理工大学 Urban emergency traffic first-aid repair system and method based on snowstorm condition
CN116955964A (en) * 2023-09-19 2023-10-27 江苏省气象服务中心 Continuous pavement meteorological condition analysis and deduction method
CN116955964B (en) * 2023-09-19 2023-12-12 江苏省气象服务中心 Continuous pavement meteorological condition analysis and deduction method
CN118072497A (en) * 2024-04-25 2024-05-24 华睿交通科技股份有限公司 Road dangerous case early warning system based on remote communication
CN118072497B (en) * 2024-04-25 2024-08-13 华睿交通科技股份有限公司 Road dangerous case early warning system based on remote communication

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