Risk assessment method and system for highway traffic system under major emergencies

Abstract

The present invention provides a method and system for risk assessment of a highway traffic system under major emergencies, which belongs to the technical field of highway network operation monitoring management and service platform. It aligns multi-source heterogeneous traffic data in time and space, extracts vehicle driving trajectory data; establishes an optimization model for risk assessment of a highway traffic system under major emergencies, calculates the probability of a vehicle passing through a set section and then passing through an adjacent section; and identifies the operating state of the highway traffic system under major emergencies according to the calculated probability of a vehicle passing through a set section and then passing through an adjacent section. The method effectively makes up for the problem of incomplete road network coverage in risk assessment of a highway traffic system under major emergencies, and improves the accuracy and coverage of identifying blocked sections, interrupted sections, and detour sections in a highway traffic system under major emergencies.

Description

Technical Field

[0001] The present invention relates to the technical field of highway network operation monitoring management and service platform, and in particular to a highway traffic system risk assessment method and system under major emergencies. Background Art

[0002] Major emergencies often cause a decrease in road capacity, traffic congestion or road interruption, and even paralyze the entire road network, which has a serious impact on the operational safety and transportation efficiency of the highway network, and brings huge losses to the national economic development and the safety of people's lives and property. Assessing the safety risks of the highway network traffic system under major emergencies can provide a scientific and reasonable basis for management departments to formulate and optimize highway network traffic control measures, and provide decision-making support for blocking the spread of disaster information, ensuring people's basic life travel, and the transportation of emergency materials. Existing methods for assessing the risk of highway traffic systems under major emergencies include using highway gantry data to identify interruption status, using mobile location data to identify blocked sections and detour sections, etc. Existing technologies only consider a single data source, and due to data coverage or data sampling interval issues, the risk assessment of highway traffic systems under major emergencies is often incomplete. Summary of the invention

[0003] The purpose of the present invention is to provide a method and system for risk assessment of highway traffic system under major emergencies that integrates multi-source heterogeneous traffic big data (such as highway toll gantries, video cameras, radar detectors, mobile location data, etc.) to solve at least one technical problem existing in the above-mentioned background technology.

[0004] In order to achieve the above object, the present invention adopts the following technical solutions:

[0005] In a first aspect, the present invention provides a method for assessing the risk of a highway traffic system under a major emergency, comprising:

[0006] Align multi-source heterogeneous traffic data in time and space to extract vehicle trajectory data;

[0007] Establish a risk assessment optimization model for highway traffic systems under major emergencies to calculate the probability of a vehicle passing through a set section and then passing through an adjacent section;

[0008] Based on the calculated probability that a vehicle passes through a set section and then an adjacent section, the operating status of the highway traffic system under major emergencies is identified, including blocked sections, interrupted sections, and detour sections.

[0009] Optionally, the multi-source heterogeneous traffic data are aligned in time and space to extract vehicle trajectory data in a unified format under normal conditions and major emergencies; the vehicle trajectory consists of a series of road sections in the highway traffic system;

[0010] Use e i Represents the number of the road segment, N represents the number of all road segments, path represents the vehicle driving trajectory, n represents the number of road segments in each vehicle driving trajectory data, and path is expressed as:

[0011] path = [e1, e2, ..., e i ,…,e n ].

[0012] Optionally, use p(e i+j |e i ) indicates that the vehicle passes through section e i Then pass through the adjacent section e i+j Probability:

[0013]

[0014] In the formula, and represents the input vector of the road segment, represents the output vector of the road segment, and T represents the transposition of the vector;

[0015] The objective function of the optimization model for risk assessment of highway traffic system under major emergencies is:

[0016]

[0017]

[0018] In the formula, k represents the i k adjacent road segments, j = -k, ..., -2, -1, 1, 2, ..., k; and road segment e i The sequence of k adjacent road segments can be expressed as {e i-k ,…,e i-2 , e i-1 , e i+1 , e i+2 ,…,e i+k}; Training of optimization model for risk assessment of highway traffic system under major emergencies, the output result is road section e i The output vector Indicates that the vehicle passes through section e i Then pass through the adjacent section e i+j probability.

[0019] Optionally, define p incident (e i+j |e i ) indicates that vehicles pass through the road section e in case of major emergencies i Then pass through the adjacent section e i+j The probability ofnormal (e i+j |e i ) indicates that under normal circumstances, the vehicle passes through the road section e i Then pass through the adjacent section e i+j The probability of

[0020] Compared with the normal p normal (e i+j |e i ) compared to major emergencies. incident (e i+j |e i ) decreases beyond the set threshold, the road section is a blocked section;

[0021] Indicates whether the road segment is blocked. If the road segment is blocked, then otherwise Use δ Obstructed Indicates the judgment threshold of whether the road section is blocked.

[0022] Optional, same as normal normal (e i+j |e i ) is greater than zero, but p incident (e i+j |e i )=0, the road section is an interrupted road section;

[0023] use Indicates whether the road segment is blocked. If the road segment is blocked, then otherwise

[0024] Optional, same as the normal p normal (e i+j |e i ) compared to major emergencies. incident (e i+j |e i ) increases by more than a set threshold, the road section is judged to be a detour section;

[0025] use Indicates whether the road segment is a detour segment. If so, otherwise Use δ Detour Indicates the judgment threshold for road detour.

[0026] In a second aspect, the present invention provides a highway traffic system risk assessment system under major emergencies, comprising:

[0027] The extraction module is used to align multi-source heterogeneous traffic data in time and space and extract vehicle trajectory data;

[0028] The construction module is used to establish a risk assessment optimization model for the highway traffic system under major emergencies and calculate the probability of a vehicle passing through an adjacent section after passing through a set section;

[0029] The identification module is used to identify the operating status of the highway traffic system under major emergencies, including blocked sections, interrupted sections, and detour sections, based on the calculated probability that a vehicle passes through an adjacent section after passing through a set section.

[0030] In a third aspect, the present invention provides a non-transitory computer-readable storage medium, which is used to store computer instructions. When the computer instructions are executed by a processor, the method for assessing the risk of a highway traffic system under a major emergency as described in the first aspect is implemented.

[0031] In a fourth aspect, the present invention provides a computer device comprising a memory and a processor, wherein the processor and the memory communicate with each other, the memory stores program instructions executable by the processor, and the processor calls the program instructions to execute the method for assessing the risk of a highway traffic system under a major emergency as described in the first aspect.

[0032] In a fifth aspect, the present invention provides an electronic device comprising: a processor, a memory and a computer program; wherein the processor is connected to the memory, the computer program is stored in the memory, and when the electronic device is running, the processor executes the computer program stored in the memory so that the electronic device executes instructions for implementing the method for risk assessment of a highway traffic system under a major emergency as described in the first aspect.

[0033] Beneficial effects of the present invention: In view of the problem of insufficient data coverage or data sampling interval of a single data source, a risk assessment method for highway traffic system under major emergencies that considers the integration of multi-source heterogeneous traffic big data (such as highway toll gantries, video cameras, radar detectors, mobile location data, etc.) is proposed, which effectively makes up for the problem of incomplete road network coverage in risk assessment of highway traffic system under major emergencies, and improves the accuracy and coverage of identification of blocked sections, interrupted sections, and detour sections in highway traffic systems under major emergencies. The present invention can provide a scientific and reasonable basis for management departments to formulate and optimize highway network traffic control measures, and provide decision-making support for blocking the spread of disaster information, ensuring people's basic life travel, and the transportation of emergency materials.

[0034] Additional advantages of the present invention will be more clearly given in the following description or learned through the practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0036] Figure 1 This is a flow chart of a method for risk assessment of a highway traffic system under a major emergency event according to an embodiment of the present invention. DETAILED DESCRIPTION

[0037] The embodiments of the present invention are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements with the same or similar functions. The embodiments described below by the accompanying drawings are exemplary and are only used to explain the present invention, and cannot be interpreted as limiting the present invention.

[0038] It should be understood by those skilled in the art that unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by those skilled in the art to which this invention belongs.

[0039] It should also be understood that terms, such as those defined in commonly used dictionaries, should be understood to have a meaning consistent with that in the context of the prior art and will not be interpreted in an idealized or overly formal sense unless as defined herein.

[0040] Those skilled in the art will appreciate that, unless otherwise stated, the singular forms "a", "an", "said" and "the" used herein may also include plural forms. It should be further understood that the term "comprising" used in the specification of the present invention refers to the presence of the features, integers, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, integers, steps, operations, elements and / or groups thereof.

[0041] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" 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. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. Different embodiments or examples described in this specification and features of different embodiments or examples may be combined and combined by those skilled in the art without contradiction.

[0042] To facilitate understanding of the present invention, the present invention is further explained below with reference to specific embodiments in conjunction with the accompanying drawings, and the specific embodiments do not constitute a limitation on the embodiments of the present invention.

[0043] Those skilled in the art should understand that the drawings are merely schematic diagrams of embodiments, and the components in the drawings are not necessarily necessary for implementing the present invention.

[0044] Example 1

[0045] In this embodiment 1, a highway traffic system risk assessment system under major emergencies is first provided, including: an extraction module for aligning multi-source heterogeneous traffic data in time and space and extracting vehicle driving trajectory data; a construction module for establishing a highway traffic system risk assessment optimization model under major emergencies and calculating the probability of a vehicle passing through a set section and then passing through an adjacent section; an identification module for identifying the operating status of the highway traffic system under major emergencies, including blocked sections, interrupted sections, and detour sections, based on the calculated probability of a vehicle passing through a set section and then passing through an adjacent section.

[0046] In this embodiment 1, the above-mentioned system is used to implement a method for assessing the risk of a highway traffic system under major emergencies, including: a practical extraction module aligns multi-source heterogeneous traffic data in time and space to extract vehicle driving trajectory data; a practical construction module establishes an optimization model for risk assessment of a highway traffic system under major emergencies to calculate the probability of a vehicle passing through a set section and then passing through an adjacent section; a practical identification module identifies the operating status of a highway traffic system under major emergencies, including blocked sections, interrupted sections, and detour sections, based on the calculated probability of a vehicle passing through a set section and then passing through an adjacent section.

[0047] Align multi-source heterogeneous traffic data in time and space to extract vehicle trajectory data in a unified format under normal conditions and major emergencies; vehicle trajectories consist of a series of road sections in the highway traffic system;

[0048] Use e i Represents the number of the road segment, N represents the number of all road segments, path represents the vehicle driving trajectory, n represents the number of road segments in each vehicle driving trajectory data, and path is expressed as:

[0049] path = [e1, e2, ..., e i ,…,e n ].

[0050] Use p(e i+j |e i ) indicates that the vehicle passes through section e i Then pass through the adjacent section e i+j Probability:

[0051]

[0052] In the formula, and represents the input vector of the road segment, represents the output vector of the road segment, and T represents the transposition of the vector;

[0053] The objective function of the optimization model for risk assessment of highway traffic system under major emergencies is:

[0054]

[0055]

[0056] In the formula, k represents the i k adjacent road segments, j = -k, ..., -2, -1, 1, 2, ..., k; and road segment e i The sequence of k adjacent road segments can be expressed as {e i-k ,…,e i-2 , e i-1 , e i+1 , e i+2 ,…,e i+k}; Training of optimization model for risk assessment of highway traffic system under major emergencies, the output result is road section e i The output vector Indicates that the vehicle passes through section e i Then pass through the adjacent section e i+j The probability of . Define p incident (e i+j |e i ) indicates that vehicles pass through the road section e in case of major emergencies i Then pass through the adjacent section e i+j The probability of normal (e i+j |e i ) indicates that under normal circumstances, the vehicle passes through the road section e i Then pass through the adjacent section e i+j probability.

[0057] Compared with the normal p normal (e i+j |e i ) compared to major emergencies. incident (e i+j |e i ) decreases beyond the set threshold, the road section is a blocked section;

[0058] Indicates whether the road segment is blocked. If the road segment is blocked, then otherwise Use δObstructed Indicates the judgment threshold of whether the road section is blocked.

[0059] Compared with normal normal (e i+j |e i ) is greater than zero, but p incident (e i+j |e i )=0, the road section is an interrupted road section;

[0060] use Indicates whether the road segment is blocked. If the road segment is blocked, then otherwise

[0061] Compared with the normal p normal (e i+j |e i ) compared to major emergencies. incident (e i+j |e i ) increases by more than a set threshold, the road section is judged to be a detour section;

[0062] use Indicates whether the road segment is a detour segment. If so, otherwise Use δ Detour Indicates the judgment threshold for road detour.

[0063] Example 2

[0064] In this embodiment 2, a risk assessment method for a highway traffic system under a major emergency is proposed, such as Figure 1 As shown in the figure, it includes (1) aligning multi-source heterogeneous traffic big data (such as highway toll gantries, video cameras, radar detectors, mobile location data, etc.) in time and space to extract vehicle driving trajectory data; (2) establishing a risk assessment optimization model for the highway traffic system under major emergencies to calculate the probability of a vehicle passing through a set section and then passing through an adjacent section; (3) proposing a method for identifying the operating status of the highway traffic system under major emergencies, including blocked sections, interrupted sections, and detour sections.

[0065] The multi-source heterogeneous traffic big data (such as highway toll gates, video cameras, radar detectors, mobile location data, etc.) are aligned in time and space to extract vehicle trajectory data in a unified format under normal conditions and major emergencies. The vehicle trajectory consists of a series of road sections in the highway traffic system.

[0066] Use e irepresents the number of the road segment, N represents the number of all road segments, path represents the vehicle driving trajectory, and n represents the number of road segments in each vehicle driving trajectory data. Path is expressed as:

[0067] path = [e1, e2, ..., e i ,…,e n ]

[0068] The established optimization model for risk assessment of highway traffic system under major emergencies includes the following:

[0069] Use p(e i+j |e i ) indicates that the vehicle passes through section e i Then pass through the adjacent section e i+j The probability is calculated as follows:

[0070]

[0071] In the formula, and represents the input vector of the road segment, Represents the output vector of the road segment, and T represents the transposition of the vector.

[0072] The objective function of the risk assessment optimization model for highway traffic system under major emergencies is described as follows:

[0073]

[0074]

[0075] In the formula, k represents the i k adjacent road segments, j = -k, ..., -2, -1, 1, 2, ..., k. i The sequence of k adjacent road segments can be expressed as {e i-k ,…,e i-2 , e i-1 , e i+1 , e i+2 ,…,e i+k The optimization model for risk assessment of highway traffic system under major emergencies can be trained by back-propagation stochastic gradient descent method, and the output result is the road section e i The output vector Indicates that the vehicle passes through section e i Then pass through the adjacent section e i+j The probability of It is expressed as:

[0076]

[0077] Define pincident (e i+j |e i ) indicates that vehicles pass through the road section e in case of major emergencies i Then pass through the adjacent section e i+j probability.

[0078] Define p normal (e i+j |e i ) indicates that under normal circumstances, the vehicle passes through the road section e i Then pass through the adjacent section e i+j probability.

[0079] The identification method of blocked sections, interrupted sections, and detour sections is described as follows.

[0080] Compared with the normal p normal (e i+j |e i ) compared to major emergencies. incident (e i+j |e i ) decreases beyond the set threshold, the road section is considered an obstructed section.

[0081] Indicates whether the road segment is blocked. If the road segment is blocked, then otherwise Use δ Obstructed Indicates the judgment threshold of the road section being blocked. The blocked road section identification model is described as follows:

[0082]

[0083] Compared with normal normal (e i+j |e i ) is greater than zero, but p incident (e i+j |e i )=0, the road section is an interrupted road section.

[0084] use Indicates whether the road segment is blocked. If the road segment is blocked, then otherwise The identification model of the interrupted section is described as follows:

[0085]

[0086] Compared with the normal p normal (e i+j |e i ) compared to major emergencies. incident (e i+j |ei ) increases by more than the set threshold, the road section is judged as a detour section.

[0087] use Indicates whether the road segment is a detour segment. If so, otherwise Use δ Detour Indicates the judgment threshold of road detour. The blocked road section identification model is described as follows:

[0088]

[0089] In summary, the risk assessment method for the highway traffic system under major emergencies provided in this embodiment includes (1) an optimization model for risk assessment of the highway traffic system under major emergencies; (2) a method for identifying the operating status of the highway traffic system under major emergencies, including a method for identifying blocked sections, a method for identifying interrupted sections, and a method for identifying detour sections. In view of the problem of insufficient data coverage or data sampling interval of a single data source, a risk assessment method for the highway traffic system under major emergencies that considers the integration of multi-source heterogeneous traffic big data (such as highway toll gantries, video cameras, radar detectors, mobile location data, etc.) is proposed, which effectively makes up for the problem of incomplete road network coverage in the risk assessment of the highway traffic system under major emergencies, and improves the accuracy and coverage of the identification of blocked sections, interrupted sections, and detour sections in the highway traffic system under major emergencies. It can provide a scientific and reasonable basis for the management department to formulate and optimize highway network traffic control measures, and provide decision support for blocking the spread of disaster information, ensuring people's basic life travel, and the transportation of emergency materials.

[0090] Example 3

[0091] This embodiment 3 provides a non-transitory computer-readable storage medium, wherein the non-transitory computer-readable storage medium is used to store computer instructions. When the computer instructions are executed by a processor, the above-mentioned highway traffic system risk assessment method under major emergencies is implemented. The method includes:

[0092] Align multi-source heterogeneous traffic data in time and space to extract vehicle trajectory data;

[0093] Establish a risk assessment optimization model for highway traffic systems under major emergencies to calculate the probability of a vehicle passing through a set section and then passing through an adjacent section;

[0094] Based on the calculated probability that a vehicle passes through a set section and then an adjacent section, the operating status of the highway traffic system under major emergencies is identified, including blocked sections, interrupted sections, and detour sections.

[0095] Example 4

[0096] This embodiment 4 provides a computer device, including a memory and a processor, the processor and the memory communicate with each other, the memory stores program instructions that can be executed by the processor, and the processor calls the program instructions to execute the above-mentioned highway traffic system risk assessment method under major emergencies, the method comprising:

[0097] Align multi-source heterogeneous traffic data in time and space to extract vehicle trajectory data;

[0098] Establish a risk assessment optimization model for highway traffic systems under major emergencies to calculate the probability of a vehicle passing through a set section and then passing through an adjacent section;

[0099] Based on the calculated probability that a vehicle passes through a set section and then an adjacent section, the operating status of the highway traffic system under major emergencies is identified, including blocked sections, interrupted sections, and detour sections.

[0100] Example 5

[0101] This embodiment 5 provides an electronic device, including: a processor, a memory, and a computer program; wherein the processor is connected to the memory, the computer program is stored in the memory, and when the electronic device is running, the processor executes the computer program stored in the memory, so that the electronic device executes instructions for implementing the above-mentioned method for assessing the risk of a highway traffic system under a major emergency, the method comprising:

[0102] Align multi-source heterogeneous traffic data in time and space to extract vehicle trajectory data;

[0103] Establish a risk assessment optimization model for highway traffic systems under major emergencies to calculate the probability of a vehicle passing through a set section and then passing through an adjacent section;

[0104] Based on the calculated probability that a vehicle passes through a set section and then an adjacent section, the operating status of the highway traffic system under major emergencies is identified, including blocked sections, interrupted sections, and detour sections.

[0105] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0106] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0107] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0108] These computer program instructions can also be loaded onto a computer or other programmable data processing device, and a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, so that the instructions executed on the computer or other programmable device provide for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0109] Although the above describes the specific implementation mode of the present invention in conjunction with the accompanying drawings, it is not intended to limit the scope of protection of the present invention. Those skilled in the art should understand that various modifications or variations that can be made by those skilled in the art without creative labor on the basis of the technical solution disclosed in the present invention should be included in the scope of protection of the present invention.

Claims

1. A risk assessment method for highway traffic system under major emergencies, characterized in that: include: Align multi-source heterogeneous traffic data in time and space, and extract vehicle trajectory data in a unified format under normal conditions and major emergencies; The vehicle driving trajectory consists of a series of road segments in the highway traffic system; i represents the number of the road segment, N represents the number of all road segments, path represents the vehicle driving trajectory, n represents the number of road segments in each vehicle driving trajectory data, and path is represented by path = [e1, e2, ..., e i ,…,e n ]; The risk assessment optimization model of highway traffic system under major emergencies is established to calculate the probability of a vehicle passing through a set section and then passing through an adjacent section; p(e i+j |e i ) indicates that the vehicle passes through section e i Then pass through the adjacent section e i+j Probability: In the formula, and represents the input vector of the road segment, Represents the output vector of the road segment, and T represents the transposition of the vector: The objective function of the optimization model for risk assessment of highway traffic system under major emergencies is: In the formula, k represents the i k adjacent road segments, j = -k, ..., -2, -1, 1, 2, ..., k; and road segment e i The sequence of k adjacent road segments can be expressed as {e i-k ,…,e i-2 , e i-1 , e i+1 , e i+2 ,…,e i+k }; Training of optimization model for risk assessment of highway traffic system under major emergencies, the output result is road section e i The output vector Indicates that the vehicle passes through section e i Then pass through the adjacent section e i+j The probability of incident (e i+j |e i ) indicates that vehicles pass through the road section e in case of major emergencies i Then pass through the adjacent section e i+j The probability of normal (e i+j |e i ) indicates that under normal circumstances, the vehicle passes through the road section e i Then pass through the adjacent section e i+j The probability of According to the calculated probability of a vehicle passing through a set section and then passing through an adjacent section, the operation status of the highway traffic system under major emergencies is identified, including blocked sections, interrupted sections, and detour sections; Compared with the normal p normal (e i+j |e i ) compared to major emergencies. incident (e i+j |e i ) decreases beyond the set threshold, the road section is a blocked section; Indicates whether the road segment is blocked. If the road segment is blocked, then otherwise Use δ Obstructed Indicates the judgment threshold of the road section being blocked; Normally, p normal (e i+j |e i ) is greater than zero, but p incident (e i+j |e i )=0, the road section is an interrupted road section; use Indicates whether the road segment is blocked. If the road segment is blocked, then otherwise Compared with the normal p normal (e i+j |e i ) compared to major emergencies. incident (e i+j |e i ) increases by more than a set threshold, the road section is judged to be a detour section; use Indicates whether the road segment is a detour segment. If so, otherwise Use δ Detour Indicates the judgment threshold for road detour.

2. A highway traffic system risk assessment system under major emergencies based on the method according to claim 1, characterized in that: include: The extraction module is used to align multi-source heterogeneous traffic data in time and space and extract vehicle trajectory data; The construction module is used to establish a risk assessment optimization model for the highway traffic system under major emergencies and calculate the probability of a vehicle passing through an adjacent section after passing through a set section; The identification module is used to identify the operating status of the highway traffic system under major emergencies, including blocked sections, interrupted sections, and detour sections, based on the calculated probability that a vehicle passes through an adjacent section after passing through a set section.

3. A non-transitory computer-readable storage medium, characterized in that: The non-transitory computer-readable storage medium is used to store computer instructions, and when the computer instructions are executed by the processor, the method for assessing the risk of a highway traffic system under a major emergency as described in claim 1 is implemented.

4. A computer device, characterized in that: It includes a memory and a processor, the processor and the memory communicate with each other, the memory stores program instructions that can be executed by the processor, and the processor calls the program instructions to execute the road traffic system risk assessment method under major emergencies as described in claim 1.

5. An electronic device, characterized in that: include: A processor, a memory and a computer program; wherein the processor is connected to the memory, the computer program is stored in the memory, and when the electronic device is running, the processor executes the computer program stored in the memory to enable the electronic device to execute instructions for implementing the method for risk assessment of a highway traffic system under a major emergency as described in claim 1.

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