A highway traffic situation intelligent early warning system and early warning method

Abstract

The present invention relates to the field of traffic safety technology, in particular to an intelligent early warning system and early warning method for expressway traffic situation; the system comprises an information collection unit, an information processing unit and an early warning processing unit; the present invention can obtain required real-time meteorological information, forecast meteorological information and vehicle positioning information, firstly conduct a traffic situation analysis of a single information, and when an early warning is triggered, issue an early warning for the expressway traffic situation, and when an early warning is not triggered, conduct a traffic situation analysis of multiple information, adopt a double traffic situation analysis, improve the timeliness, effectiveness and scientificity of accident prevention, realize dynamic prediction and early warning, make up for the lack of risk assessment for expressways, and improve the early warning system for expressway traffic situation, and at the same time, management personnel can also change the preset information, so that the intelligent early warning system and early warning method for expressway traffic situation can be better applicable to different expressway needs, and have more flexibility and practicality.

Description

Technical Field

[0001] The present invention relates to the technical field of traffic safety, and in particular to an intelligent early warning system and method for early warning of expressway traffic situation. Background Art

[0002] With economic development and the increase in people's travel needs, the traffic volume on highways has shown a trend of sustained and rapid growth. The convergence of a large number of vehicles has caused a sharp increase in traffic pressure on highways, and traffic congestion, traffic accidents and other problems have occurred frequently. The traditional reliance on manual inspections and simple fixed monitoring equipment can no longer meet the needs of real-time and accurate traffic management.

[0003] There are various types of vehicles traveling on highways, including small passenger cars, large passenger cars, trucks, hazardous chemical transport vehicles, etc. At the same time, many factors such as weather conditions (sunny, rainy, foggy, snowy, etc.) and sudden accidents will have a significant impact on the traffic situation, and these influences are often intertwined, making the traffic situation change rapidly and difficult to accurately grasp and respond in time.

[0004] Based on this, the present invention provides an intelligent early warning system and early warning method for highway traffic situation to solve the above-mentioned technical problems. Summary of the invention

[0005] The purpose of the present invention is to provide an intelligent early warning system and early warning method for highway traffic situation, which adopts dual traffic situation analysis to improve the timeliness, effectiveness and scientificity of accident prevention, realize dynamic prediction and early warning, make up for the lack of highway risk assessment, and improve the highway situation early warning system. At the same time, management personnel can also change the preset information, so that the intelligent early warning system and early warning method for highway traffic situation can be better adapted to different highway needs, and have more flexibility and practicality.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] The first aspect of the present invention provides an intelligent early warning system for highway traffic situation, comprising an information collection unit, an information processing unit and an early warning processing unit, wherein:

[0008] The information collection unit is used to use real-time weather information, forecast weather information and vehicle positioning information of each section of the expressway;

[0009] The information processing unit is used to analyze the traffic situation of a single piece of information based on the collected information, and when the warning is not activated, analyze the traffic situation of multiple pieces of information, and the information processing unit is connected to the information collection unit;

[0010] The warning processing unit is used to issue highway traffic situation warning information and the above-mentioned preset information, and the warning processing unit is connected to the information processing unit.

[0011] Further, the information collection unit includes a real-time weather module, a weather forecast module, a vehicle positioning module and a first communication module, wherein:

[0012] The real-time weather module is used to obtain real-time weather information of each section of the expressway, wherein the real-time weather information includes real-time visibility information, rainfall information, snowfall information and wind speed information;

[0013] The weather forecast module is used to obtain forecast weather information for each section of the expressway, wherein the forecast weather information includes forecast visibility information, rainfall information, snowfall information and wind speed information;

[0014] The vehicle positioning module is used to obtain the positioning information of vehicles on each section of the highway in real time;

[0015] The first communication module is used to realize information interaction between the information collection unit and the information processing unit. The first communication module is connected to the real-time weather module, the forecast weather module and the vehicle positioning module.

[0016] Further, the information processing unit includes a second communication module, a first analysis module, a database module, a second analysis module and an information feedback module, wherein:

[0017] The second communication module is used to realize information interaction between the information processing unit and the information collection unit and the early warning processing unit;

[0018] The first analysis module performs traffic situation analysis of single information based on the collected information, and the first analysis module is connected to the second communication module;

[0019] The traffic situation analysis process of the single information is as follows:

[0020] Traffic situation analysis of real-time weather information: The real-time weather information of the corresponding road section in the corresponding period is compared with the corresponding weather warning threshold. If any of the corresponding visibility information, rainfall information, snowfall information and wind speed information is greater than the weather warning threshold, the real-time weather warning is activated;

[0021] Traffic situation analysis of forecast weather information: The forecast weather information of the corresponding road section within the expected period is compared with the corresponding weather warning threshold. If any of the corresponding visibility information, rainfall information, snowfall information and wind speed information is greater than the weather warning threshold, the weather forecast warning is activated;

[0022] Traffic situation analysis based on vehicle positioning information: based on the obtained vehicle positioning information, obtain the traffic flow information and traffic flow change rate information of the corresponding road section within the corresponding period, and based on the obtained vehicle positioning information, obtain the distance information between two vehicles and the speed information of each vehicle; respectively compare the traffic flow information and traffic flow change rate information with the corresponding traffic flow warning threshold and traffic flow change rate warning threshold, and determine the vehicle status based on the distance information between the two vehicles. If any comparison result is that the traffic flow information is greater than the traffic flow warning threshold, the traffic flow change rate information is greater than the traffic flow change rate warning threshold, or the vehicle status is a traffic accident, then start the real-time warning for traffic;

[0023] The database module is used to store preset data information and adopted data information, and the database module is connected to both the second communication module and the first analysis module;

[0024] The second analysis module performs a multi-information traffic situation analysis based on the collected information, and the second analysis module is connected to both the first analysis module and the database module;

[0025] The specific process of multi-information traffic situation analysis is as follows:

[0026] Calculate the weights of real-time meteorological information and forecast meteorological information;

[0027] According to the obtained weight values, the early warning values ​​of multiple information are calculated;

[0028] Comparing the obtained multi-information warning value with the multi-information warning threshold to determine whether to issue a multi-information weather warning;

[0029] The information feedback module is used to feed back warning information, and the information feedback module is connected to the second communication module, the first analysis module, the database module and the second analysis module.

[0030] Furthermore, the calculation formula of the flow rate change rate is: In the formula, Q t2 is the traffic volume in the period corresponding to the current road section, Q t1 It is the traffic volume in the previous cycle corresponding to the current road section.

[0031] The condition for determining whether the vehicle state is a traffic accident is that: in the corresponding road section within the corresponding cycle, if the distance between at least two vehicles is less than the corresponding distance threshold, it is determined that a traffic accident has occurred.

[0032] Further, the warning processing unit includes a third communication module, an information preset module, a warning release module and an information display module, wherein:

[0033] The third communication module is used to realize information interaction between the early warning processing unit and the information processing unit;

[0034] The information preset module is used for the management personnel to upload preset information, and the information preset module is connected to the third communication module;

[0035] The warning issuing module issues highway traffic situation warning information according to the received warning instruction, and the warning issuing module is connected to the third communication module;

[0036] The information display module is used to display the received information, and the information display module is connected to the third communication module, the information preset module and the warning release module.

[0037] The specific process of the multi-information traffic situation analysis is as follows:

[0038] Calculate the weights of real-time weather information and forecast weather information:

[0039] Calculate the weight coefficient of each factor: Assume there are m evaluation objects and n evaluation indicators, and the original data matrix is Normalization processing, constructing the decision matrix T = (b ij ) m×n , where b ij is the data value of the i-th evaluation object after normalization on the j-th evaluation index;

[0040] Calculate the coefficient of variation: In the formula, μ j is the standard deviation of the jth evaluation index, b j is the average value of the jth evaluation index;

[0041] Calculate the normalized weight of the jth indicator:

[0042] According to the obtained weight value, calculate the warning value of obtaining multiple information, W = α1×d1+…+α m ×d m , where d m The evaluation index value corresponding to each evaluation object;

[0043] The obtained multi-information warning value is compared with the multi-information warning threshold to determine whether to issue a multi-information weather warning.

[0044] The second aspect of the present invention is to provide a method for intelligent early warning of highway traffic situation, which is applied to the above-mentioned intelligent early warning system for highway traffic situation, and comprises the following steps:

[0045] Step 1: Use real-time weather information, forecast weather information and vehicle positioning information of each section of the expressway;

[0046] The real-time weather information and forecast weather information both include visibility information, rainfall information, snowfall information and wind speed information;

[0047] Step 2: Based on the collected information, the traffic situation analysis of the single information is performed respectively. If the warning is not activated, the process proceeds to step 3;

[0048] Step 3: Based on the collected information, conduct multi-information traffic situation analysis;

[0049] Step 4: Release highway traffic warning information based on traffic situation analysis.

[0050] Furthermore, in step 2, the traffic situation analysis process of the single information is as follows:

[0051] Traffic situation analysis of real-time weather information: The real-time weather information of the corresponding road section in the corresponding period is compared with the corresponding weather warning threshold. If any of the corresponding visibility information, rainfall information, snowfall information and wind speed information is greater than the weather warning threshold, the real-time weather warning is activated;

[0052] Traffic situation analysis of forecast weather information: The forecast weather information of the corresponding road section within the expected period is compared with the corresponding weather warning threshold. If any of the corresponding visibility information, rainfall information, snowfall information and wind speed information is greater than the weather warning threshold, the weather forecast warning is activated;

[0053] Traffic situation analysis based on vehicle positioning information: based on the obtained vehicle positioning information, obtain the traffic flow information and traffic flow change rate information of the corresponding road section within the corresponding period, and based on the obtained vehicle positioning information, obtain the distance information between the two vehicles and the speed information of each vehicle; respectively compare the traffic flow information and traffic flow change rate information with the corresponding traffic flow warning threshold and traffic flow change rate warning threshold, and determine the vehicle status based on the distance information between the two vehicles. If any comparison result is that the traffic flow information is greater than the traffic flow warning threshold, the traffic flow change rate information is greater than the traffic flow change rate warning threshold, or the vehicle status is a traffic accident, then the real-time traffic warning is initiated.

[0054] Furthermore, the calculation formula of the flow rate change rate is: In the formula, Q t2 is the traffic volume in the period corresponding to the current road section, Q t1 It is the traffic volume in the previous cycle corresponding to the current road section.

[0055] Furthermore, the condition for determining whether the vehicle status is a traffic accident is that: in the corresponding road section within the corresponding cycle, if the distance between at least two vehicles is less than the corresponding distance threshold, it is determined that a traffic accident has occurred.

[0056] Furthermore, in step 3, the specific process of the multi-information traffic situation analysis is as follows:

[0057] Calculate the weights of real-time weather information and forecast weather information:

[0058] Calculate the weight coefficient of each factor: Assume there are m evaluation objects and n evaluation indicators, and the original data matrix is Normalization processing, constructing the decision matrix T = (b ij ) m×n , where b ij is the data value of the i-th evaluation object after normalization on the j-th evaluation index;

[0059] Calculate the coefficient of variation: In the formula, μ j is the standard deviation of the jth evaluation index, b j is the average value of the jth evaluation index;

[0060] Calculate the normalized weight of the jth indicator:

[0061] According to the obtained weight value, calculate the warning value of obtaining multiple information, W = α1×d1+…+α m ×d m , where d m The evaluation index value corresponding to each evaluation object;

[0062] The obtained multi-information warning value is compared with the multi-information warning threshold to determine whether to issue a multi-information weather warning.

[0063] Compared with the prior art, the present invention has the following beneficial effects:

[0064] The present invention will obtain the required real-time meteorological information, forecast meteorological information and vehicle positioning information, first conduct a single information traffic situation analysis, and when the warning is triggered, issue a highway traffic situation warning. When the warning is not triggered, perform a multi-information traffic situation analysis. The dual traffic situation analysis improves the timeliness, effectiveness and scientificity of accident prevention, realizes dynamic prediction and warning, makes up for the lack of highway risk assessment, and improves the highway situation warning system. At the same time, management personnel can also change the preset information, so that the highway traffic situation intelligent warning system and warning method can be better applicable to different highway needs, and have more flexibility and practicality. BRIEF DESCRIPTION OF THE DRAWINGS

[0065] Figure 1 The present invention is a system diagram of an intelligent early warning system for highway traffic situation.

[0066] Figure 2 This is a system diagram of an information collection unit in an intelligent early warning system for highway traffic situation of the present invention;

[0067] Figure 3 A system diagram of an information processing unit in an intelligent early warning system for highway traffic situation according to the present invention;

[0068] Figure 4 This is a system diagram of a warning processing unit in an intelligent warning system for highway traffic situation according to the present invention.

[0069] Legend: 100, information collection unit; 110, real-time weather module; 120, forecast weather module; 130, vehicle positioning module; 140, first communication module; 200, information processing unit; 210, second communication module; 220, first analysis module; 230, database module; 240, second analysis module; 250, information feedback module; 300, warning processing unit; 310, third communication module; 320, information preset module; 330, warning release module; 340, information display module. DETAILED DESCRIPTION

[0070] The following will be combined with the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0071] Example:

[0072] like Figure 1-Figure 4 As shown, this embodiment provides an intelligent early warning system for highway traffic conditions, including an information collection unit 100, an information processing unit 200 and an early warning processing unit 300, wherein: the information collection unit 100 is used to adopt real-time meteorological information, forecast meteorological information and vehicle positioning information of each section of the highway; the information processing unit 200 is used to analyze the traffic conditions of a single piece of information based on the collected information, and when the early warning is not activated, analyze the traffic conditions of multiple pieces of information, and the information processing unit 200 is connected to the information collection unit 100; the early warning processing unit 300 is used to publish early warning information on highway traffic conditions, as well as the above-mentioned preset information, and the early warning processing unit 300 is connected to the information processing unit 200.

[0073] In this embodiment, it should be noted that the required real-time meteorological information, forecast meteorological information and vehicle positioning information are obtained through the information collection unit 100 and fed back to the information processing unit 200. The information processing unit 200 will first analyze the traffic situation of a single information. If the analysis result is to start an early warning, the early warning information will be fed back to the early warning processing unit 300, and the early warning processing unit 300 will issue the highway traffic situation early warning information. If the analysis result is not to start an early warning, the information processing unit 200 will perform a multi-information traffic situation analysis. If the analysis result is to start an early warning, the early warning information will be fed back to the early warning processing unit 300, and the early warning processing unit 300 will issue the highway traffic situation early warning information. In addition, management personnel can also upload preset early warning threshold information through the early warning processing unit 300 and store it in the information processing unit 200.

[0074] In the present invention, the information collection unit 100 includes a real-time weather module 110, a forecast weather module 120, a vehicle positioning module 130 and a first communication module 140, wherein: the real-time weather module 110 is used to obtain real-time meteorological information of each section of the expressway, wherein the real-time meteorological information includes real-time visibility information, rainfall information, snowfall information and wind speed information; the forecast weather module 120 is used to obtain forecast meteorological information of each section of the expressway, wherein the forecast meteorological information includes forecast visibility information, rainfall information, snowfall information and wind speed information; the vehicle positioning module 130 is used to obtain real-time positioning information of vehicles in each section of the expressway; the first communication module 140 is used to realize information interaction between the information collection unit 100 and the information processing unit 200, and the first communication module 140 is connected to the real-time weather module 110, the forecast weather module 120 and the vehicle positioning module 130.

[0075] In this embodiment, it should be noted that the real-time weather module 110 , the forecast weather module 120 and the vehicle positioning module 130 collect information respectively and then upload it to the information processing unit 200 through the first communication module 140 .

[0076] Among them, the information processing unit 200 includes a second communication module 210, a first analysis module 220, a database module 230, a second analysis module 240 and an information feedback module 250, wherein: the second communication module 210 is used to realize information interaction between the information processing unit 200 and the information collection unit 100 and the warning processing unit 300; the first analysis module 220 performs traffic situation analysis of single information based on the collected information, and the first analysis module 220 is connected to the second communication module 210; the database module 230 is used to store preset data information and adopted data information, and the database module 230 is connected to both the second communication module 210 and the first analysis module 220; the second analysis module 240 performs multi-information traffic situation analysis based on the collected information, and the second analysis module 240 is connected to both the first analysis module 220 and the database module 230; the information feedback module 250 is used to feedback warning information, and the information feedback module 250 is connected to the second communication module 210, the first analysis module 220, the database module 230 and the second analysis module 240.

[0077] In this embodiment, it should be noted that the second communication module 210 is used to receive information from the information collection unit 100 and transmit it to the first analysis module 220. The first analysis module 220 performs a traffic situation analysis of a single piece of information. When an early warning is triggered, the information feedback module 250 feeds back the early warning information to the early warning processing unit 300 through the second communication module 210. When no early warning is triggered, the second analysis module 240 performs a traffic situation analysis of multiple pieces of information. When an early warning is triggered, the information feedback module 250 feeds back the early warning information to the early warning processing unit 300 through the second communication module 210.

[0078] The traffic situation analysis process of a single piece of information is as follows:

[0079] Traffic situation analysis of real-time weather information: The real-time weather information of the corresponding road section in the corresponding period is compared with the corresponding weather warning threshold. If any of the corresponding visibility information, rainfall information, snowfall information and wind speed information is greater than the weather warning threshold, the real-time weather warning is activated;

[0080] Traffic situation analysis of forecast meteorological information: The forecast meteorological information of the corresponding road section within the expected period will be compared with the corresponding meteorological warning threshold. If any of the corresponding visibility information, rainfall information, snowfall information and wind speed information is greater than the meteorological warning threshold, the meteorological forecast warning will be activated.

[0081] Traffic situation analysis based on vehicle positioning information: based on the obtained vehicle positioning information, obtain the traffic flow information and traffic flow change rate information of the corresponding road section within the corresponding period, and based on the obtained vehicle positioning information, obtain the distance information between the two vehicles and the speed information of each vehicle; respectively compare the traffic flow information and traffic flow change rate information with the corresponding traffic flow warning threshold and traffic flow change rate warning threshold, and determine the vehicle status based on the distance information between the two vehicles. If any comparison result is that the traffic flow information is greater than the traffic flow warning threshold, the traffic flow change rate information is greater than the traffic flow change rate warning threshold, or the vehicle status is a traffic accident, then the real-time traffic warning is initiated.

[0082] The flow rate change rate is calculated as: In the formula, Q t2 is the traffic volume in the period corresponding to the current road section, Q t1 It is the traffic volume in the previous cycle corresponding to the current road section.

[0083] The condition for determining whether a vehicle state is a traffic accident is that: in the corresponding road section within the corresponding cycle, if the distance between at least two vehicles is less than the corresponding distance threshold, it is determined that a traffic accident has occurred.

[0084] In this embodiment, it should be noted that, as an implementation mode, the data of the meteorological warning threshold is as shown in Table 1.

[0085] Table 1 Meteorological warning thresholds

[0086] category Visibility warning threshold Rainfall warning threshold Snowfall warning threshold Wind speed warning threshold Numeric Less than 200 meters More than 24 mm, 24h More than 3 mm, 12 hours More than 10 m / s

[0087] If any of the corresponding visibility information, rainfall information, snowfall information and wind speed information is greater than the meteorological warning threshold, the real-time meteorological warning will be activated.

[0088] In addition, as a traffic situation analysis of the vehicle positioning information in this embodiment, if the flow rate change rate is greater than 50% in the Xinzheng Xuchang section of the Beijing-Hong Kong-Macao Expressway, an early warning message is issued.

[0089] This embodiment can issue early warnings in a timely manner for any sub-factor in the weather, the rate of change of road traffic, and when a vehicle accident occurs, thus providing technical support for the timeliness, effectiveness, and scientificity of active accident prevention by traffic management departments.

[0090] In addition, the specific process of multi-information traffic situation analysis is as follows:

[0091] Calculate the weights of real-time meteorological information and forecast meteorological information;

[0092] According to the obtained weight values, the early warning values ​​of multiple information are calculated;

[0093] The obtained multi-information warning value is compared with the multi-information warning threshold to determine whether to issue a multi-information weather warning.

[0094] The specific process of multi-information traffic situation analysis is as follows:

[0095] Calculate the weights of real-time weather information and forecast weather information:

[0096] Calculate the weight coefficient of each factor: Assume there are m evaluation objects and n evaluation indicators, and the original data matrix is Normalization processing, constructing the decision matrix T = (b ij ) m×n , where b ij is the data value of the i-th evaluation object after normalization on the j-th evaluation index;

[0097] Calculate the coefficient of variation: In the formula, μ j is the standard deviation of the jth evaluation index, b j is the average value of the jth evaluation index;

[0098] Calculate the normalized weight of the jth indicator:

[0099] According to the obtained weight value, calculate the warning value of obtaining multiple information, W = α1×d1+…+α m ×d m , where d m The evaluation index value corresponding to each evaluation object;

[0100] The obtained multi-information warning value is compared with the multi-information warning threshold to determine whether to issue a multi-information weather warning.

[0101] In this embodiment, after analyzing the traffic situation of a single piece of information, when no warning is triggered, a multi-information warning analysis of the weather is performed, which further improves the timeliness, effectiveness and scientificity of accident prevention. Dynamic prediction and warning are achieved, which makes up for the lack of highway risk assessment and improves the highway situation warning system.

[0102] In the present invention, the warning processing unit 300 includes a third communication module 310, an information preset module 320, a warning release module 330 and an information display module 340, wherein: the third communication module 310 is used to realize information interaction between the warning processing unit 300 and the information processing unit 200; the information preset module 320 is used for management personnel to upload preset information, and the information preset module 320 is connected to the third communication module 310; the warning release module 330 releases highway traffic situation warning information according to the received warning instructions, and the warning release module 330 is connected to the third communication module 310; the information display module 340 is used to display the received information, and the information display module 340 is connected to the third communication module 310, the information preset module 320 and the warning release module 330.

[0103] In this embodiment, it should be noted that management personnel can upload preset warning information through the information preset module 320 and the third communication module 310, and store it in the information processing unit 200 for analysis of highway traffic conditions. At the same time, warning information can be received through the third communication module 310 and fed back to the warning release module 330 and the information display module 340. The warning release module 330 will promptly release highway traffic situation warning information, and management personnel can view the corresponding highway traffic situation warning information through the information display module 340.

[0104] In addition, this embodiment also provides a highway traffic situation intelligent early warning method, which is applied to the above-mentioned highway traffic situation intelligent early warning system, and includes the following steps:

[0105] Step 1: Use real-time weather information, forecast weather information and vehicle positioning information of each section of the expressway;

[0106] Both real-time weather information and forecast weather information include visibility information, rainfall information, snowfall information and wind speed information;

[0107] Step 2: Based on the collected information, perform traffic situation analysis on each piece of information. If no warning is initiated, proceed to step 3.

[0108] The traffic situation analysis process of a single piece of information is as follows:

[0109] Traffic situation analysis of real-time weather information: The real-time weather information of the corresponding road section in the corresponding period is compared with the corresponding weather warning threshold. If any of the corresponding visibility information, rainfall information, snowfall information and wind speed information is greater than the weather warning threshold, the real-time weather warning is activated;

[0110] Traffic situation analysis of forecast weather information: The forecast weather information of the corresponding road section within the expected period is compared with the corresponding weather warning threshold. If any of the corresponding visibility information, rainfall information, snowfall information and wind speed information is greater than the weather warning threshold, the weather forecast warning is activated;

[0111] Traffic situation analysis based on vehicle positioning information: based on the obtained vehicle positioning information, obtain the traffic flow information and traffic flow change rate information of the corresponding road section within the corresponding period, and based on the obtained vehicle positioning information, obtain the distance information between the two vehicles and the speed information of each vehicle; respectively compare the traffic flow information and traffic flow change rate information with the corresponding traffic flow warning threshold and traffic flow change rate warning threshold, and determine the vehicle status based on the distance information between the two vehicles. If any comparison result is that the traffic flow information is greater than the traffic flow warning threshold, the traffic flow change rate information is greater than the traffic flow change rate warning threshold, or the vehicle status is a traffic accident, then the real-time traffic warning is initiated.

[0112] Furthermore, the flow rate change rate is calculated as: In the formula, Q t2 is the traffic volume in the period corresponding to the current road section, Q t1 It is the traffic volume in the previous cycle corresponding to the current road section.

[0113] Furthermore, the condition for determining that the vehicle status is a traffic accident is that: in the corresponding road section within the corresponding cycle, if the distance between at least two vehicles is less than the corresponding distance threshold, it is determined that a traffic accident has occurred.

[0114] Step 3: Conduct multi-information traffic situation analysis based on the collected information.

[0115] The specific process of multi-information traffic situation analysis is as follows:

[0116] (1) Calculate the weights of real-time meteorological information and forecast meteorological information:

[0117] Calculate the weight coefficient of each factor: Assume there are m evaluation objects and n evaluation indicators, and the original data matrix is Normalization processing, constructing the decision matrix T = (b ij ) m×n , where b ij is the data value of the i-th evaluation object after normalization on the j-th evaluation index;

[0118] Calculate the coefficient of variation: In the formula, μ j is the standard deviation of the jth evaluation index, b j is the average value of the jth evaluation index;

[0119] Calculate the normalized weight of the jth indicator:

[0120] (2) According to the obtained weight value, calculate the warning value of obtaining multiple information, W = α1×d1+…+α m ×d m , where d m The evaluation index value corresponding to each evaluation object;

[0121] (3) Compare the obtained multi-information warning value with the multi-information warning threshold to determine whether to issue a multi-information weather warning.

[0122] Step 4: Release highway traffic warning information based on traffic situation analysis.

[0123] In the description of this specification, the description with reference to the terms "one embodiment", "example", "specific example", etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0124] The preferred embodiments of the present invention disclosed above are only used to help illustrate the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to the specific implementation methods described. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. An intelligent early warning system for highway traffic situation, characterized in that: The system comprises an information collection unit (100), an information processing unit (200) and an early warning processing unit (300), wherein: The information collection unit (100) is used to use real-time weather information, forecast weather information and vehicle positioning information of each section of the expressway; The information processing unit (200) is used to analyze the traffic situation of a single piece of information based on the collected information, and to analyze the traffic situation of multiple pieces of information when the warning is not activated. The information processing unit (200) is connected to the information collection unit (100); The warning processing unit (300) is used to issue highway traffic situation warning information and the above-mentioned preset information, and the warning processing unit (300) is connected to the information processing unit (200).

2. The intelligent early warning system for highway traffic situation according to claim 1 is characterized in that: The information collection unit (100) comprises a real-time weather module (110), a weather forecast module (120), a vehicle positioning module (130) and a first communication module (140), wherein: The real-time weather module (110) is used to obtain real-time weather information of each section of the expressway, wherein the real-time weather information includes real-time visibility information, rainfall information, snowfall information and wind speed information; The weather forecast module (120) is used to obtain forecast weather information for each section of the expressway, wherein the forecast weather information includes forecast visibility information, rainfall information, snowfall information and wind speed information; The vehicle positioning module (130) is used to obtain the positioning information of vehicles on each section of the expressway in real time; The first communication module (140) is used to realize information interaction between the information collection unit (100) and the information processing unit (200), and the first communication module (140) is connected to the real-time weather module (110), the weather forecast module (120) and the vehicle positioning module (130).

3. The intelligent early warning system for highway traffic situation according to claim 1 is characterized in that: The information processing unit (200) comprises a second communication module (210), a first analysis module (220), a database module (230), a second analysis module (240) and an information feedback module (250), wherein: The second communication module (210) is used to realize information interaction between the information processing unit (200) and the information collection unit (100) and the early warning processing unit (300); The first analysis module (220) performs traffic situation analysis of single information based on the collected information, and the first analysis module (220) is connected to the second communication module (210); The traffic situation analysis process of the single information is as follows: Traffic situation analysis of real-time weather information: The real-time weather information of the corresponding road section in the corresponding period is compared with the corresponding weather warning threshold. If any of the corresponding visibility information, rainfall information, snowfall information and wind speed information is greater than the weather warning threshold, the real-time weather warning is activated; Traffic situation analysis of forecast weather information: The forecast weather information of the corresponding road section within the expected period is compared with the corresponding weather warning threshold. If any of the corresponding visibility information, rainfall information, snowfall information and wind speed information is greater than the weather warning threshold, the weather forecast warning is activated; Traffic situation analysis based on vehicle positioning information: based on the obtained vehicle positioning information, obtain the traffic flow information and traffic flow change rate information of the corresponding road section within the corresponding period, and based on the obtained vehicle positioning information, obtain the distance information between two vehicles and the speed information of each vehicle; respectively compare the traffic flow information and traffic flow change rate information with the corresponding traffic flow warning threshold and traffic flow change rate warning threshold, and determine the vehicle status based on the distance information between the two vehicles. If any comparison result is that the traffic flow information is greater than the traffic flow warning threshold, the traffic flow change rate information is greater than the traffic flow change rate warning threshold, or the vehicle status is a traffic accident, then start the real-time warning for traffic; The database module (230) is used to store preset data information and adopted data information, and the database module (230) is connected to both the second communication module (210) and the first analysis module (220); The second analysis module (240) performs multi-information traffic situation analysis based on the collected information, and the second analysis module (240) is connected to both the first analysis module (220) and the database module (230); The specific process of multi-information traffic situation analysis is as follows: Calculate the weights of real-time meteorological information and forecast meteorological information; According to the obtained weight values, the early warning values ​​of multiple information are calculated; Comparing the obtained multi-information warning value with the multi-information warning threshold to determine whether to issue a multi-information weather warning; The information feedback module (250) is used to feed back warning information, and the information feedback module (250) is connected to the second communication module (210), the first analysis module (220), the database module (230) and the second analysis module (240).

4. The intelligent early warning system for highway traffic situation according to claim 1 is characterized in that: The warning processing unit (300) comprises a third communication module (310), an information preset module (320), a warning release module (330) and an information display module (340), wherein: The third communication module (310) is used to realize information interaction between the early warning processing unit (300) and the information processing unit (200); The information preset module (320) is used for the management personnel to upload preset information, and the information preset module (320) is connected to the third communication module (310); The warning issuing module (330) issues highway traffic situation warning information according to the received warning instruction, and the warning issuing module (330) is connected to the third communication module (310); The information display module (340) is used to display the received information, and the information display module (340) is connected to the third communication module (310), the information preset module (320) and the warning release module (330).

5. A method for intelligent early warning of highway traffic situation, applied to the intelligent early warning system for highway traffic situation as claimed in any one of claims 1 to 4, characterized in that: The following steps are involved: Step 1: Use real-time weather information, forecast weather information and vehicle positioning information of each section of the expressway; The real-time weather information and forecast weather information both include visibility information, rainfall information, snowfall information and wind speed information; Step 2: Based on the collected information, the traffic situation analysis of the single information is performed respectively. If the warning is not activated, the process proceeds to step 3; Step 3: Based on the collected information, conduct multi-information traffic situation analysis; Step 4: Release highway traffic warning information based on traffic situation analysis.

6. The method for intelligent early warning of highway traffic situation according to claim 5 is characterized in that: In the step 2, the traffic situation analysis process of the single information is as follows: Traffic situation analysis of real-time weather information: The real-time weather information of the corresponding road section in the corresponding period is compared with the corresponding weather warning threshold. If any of the corresponding visibility information, rainfall information, snowfall information and wind speed information is greater than the weather warning threshold, the real-time weather warning is activated; Traffic situation analysis of forecast weather information: The forecast weather information of the corresponding road section within the expected period is compared with the corresponding weather warning threshold. If any of the corresponding visibility information, rainfall information, snowfall information and wind speed information is greater than the weather warning threshold, the weather forecast warning is activated; Traffic situation analysis based on vehicle positioning information: based on the obtained vehicle positioning information, obtain the traffic flow information and traffic flow change rate information of the corresponding road section within the corresponding period, and based on the obtained vehicle positioning information, obtain the distance information between the two vehicles and the speed information of each vehicle; respectively compare the traffic flow information and traffic flow change rate information with the corresponding traffic flow warning threshold and traffic flow change rate warning threshold, and determine the vehicle status based on the distance information between the two vehicles. If any comparison result is that the traffic flow information is greater than the traffic flow warning threshold, the traffic flow change rate information is greater than the traffic flow change rate warning threshold, or the vehicle status is a traffic accident, then the real-time traffic warning is initiated.

7. The method for intelligent early warning of highway traffic situation according to claim 6 is characterized in that: The calculation formula of the flow rate change rate is: In the formula, Q t2 is the traffic volume in the period corresponding to the current road section, Q t1 It is the traffic volume in the previous cycle corresponding to the current road section.

8. The method for intelligent early warning of highway traffic situation according to claim 6 is characterized in that: The condition for determining whether the vehicle state is a traffic accident is that: in the corresponding road section within the corresponding cycle, if the distance between at least two vehicles is less than the corresponding distance threshold, it is determined that a traffic accident has occurred.

9. The method for intelligent early warning of highway traffic situation according to claim 5 is characterized in that: In step 3, the specific process of the multi-information traffic situation analysis is as follows: (1) Calculate the weights of real-time meteorological information and forecast meteorological information: Calculate the weight coefficient of each factor: Assume there are m evaluation objects and n evaluation indicators, and the original data matrix is Normalization processing, constructing the decision matrix T = (b ij ) m×n , where b ij is the data value of the i-th evaluation object after normalization on the j-th evaluation index; Calculate the coefficient of variation: In the formula, μ j is the standard deviation of the jth evaluation index, b j is the average value of the jth evaluation index; Calculate the normalized weight of the jth indicator: (2) According to the obtained weight value, calculate the warning value of obtaining multiple information, W = α1×d1+…+α m ×d m , where d m The evaluation index value corresponding to each evaluation object; (3) Compare the obtained multi-information warning value with the multi-information warning threshold to determine whether to issue a multi-information weather warning.

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