An expressway emergency command system

Abstract

The present application relates to the technical field of intelligent highway management, more particularly to a highway emergency command system. The scheme includes setting the minimum unit of highway emergency command; extracting the congestion degree and accident handling period under each minimum analysis unit; judging the congestion degree and accident handling period corresponding to all historical data to form the optimal analysis margin of each minimum unit extraction; setting the emergency command set of the minimum analysis unit in advance; analyzing the congestion degree online according to the optimal analysis margin of each minimum unit to form the current time command set range; judging whether there is a simultaneous abnormality, and if there is, updating the current time command set range to the simultaneous analysis command set range. The scheme divides the minimum unit, combines the analysis of historical data, realizes the rapid early warning of the range with a probability of abnormal situation, and regulates and controls the range as soon as possible to disperse the highway traffic risk.

Description

Technical Field

[0001] This invention relates to the field of intelligent highway management technology, and more specifically, to a highway emergency command system. Background Technology

[0002] With the rapid increase in the mileage of expressways, traffic safety risks have also increased, and various traffic anomalies frequently occur on expressways. These anomalies often lead to congestion and accidents, therefore, expressway conditions require close monitoring.

[0003] Prior to this invention, existing technologies for controlling highway information mainly focused on post-event retrieval, with very few instances of preventative pre-event analysis. This was primarily because highway information is interconnected, and there is a significant linkage effect between highway information from different regions. This can easily lead to a butterfly effect due to incorrect judgments, resulting in more serious problems or accidents. Summary of the Invention

[0004] In view of the above problems, this invention proposes a highway emergency command system. By dividing the system into the smallest units and combining it with the analysis of historical data, it can achieve rapid early warning of areas where abnormal situations are likely to occur, and quickly disperse highway traffic risks based on the control of these areas.

[0005] According to a first aspect of the present invention, a highway emergency command method is provided.

[0006] In one or more embodiments, preferably, the highway emergency command method includes:

[0007] Establish the smallest unit for emergency command on highways;

[0008] Extract the congestion level and incident handling cycle for each smallest analysis unit;

[0009] Determine the congestion level and accident handling cycle corresponding to all historical data, and extract the optimal analysis margin for each smallest unit;

[0010] A set of emergency command functions pre-configured to the smallest analytical unit;

[0011] Based on the optimal analytical margin of each smallest unit, the online congestion level is analyzed to form the current command set range;

[0012] Determine if there is a simultaneity anomaly. If so, update the current command set range to the simultaneous analysis command set range.

[0013] In one or more embodiments, preferably, the smallest unit for setting up highway emergency command specifically includes:

[0014] Based on the roadside equipment, the highway was divided into different sections. A perpendicular line was drawn at the midpoint of the straight-line distance between every two roadside equipment sections to divide the highway.

[0015] It is divided into several control areas, forming several minimum unit-based assessments.

[0016] In one or more embodiments, preferably, the extraction of congestion level and incident handling cycle under each minimum analysis unit specifically includes:

[0017] Extract historical data for each smallest unit of analysis, wherein the historical data includes at least the level of congestion.

[0018] Based on the congestion level, the incident handling cycle for each congestion event is determined, specifically the total duration exceeding the predetermined congestion level.

[0019] In one or more embodiments, preferably, the step of determining the congestion level and accident handling cycle corresponding to all historical data to form the optimal analysis margin for each smallest unit specifically includes:

[0020] Extract the set of the smallest consecutively adjacent analysis units that generate an accident handling cycle greater than 0 at the time of each accident, and use this set as the scope of the accident's impact.

[0021] Extract the congestion level of the smallest adjacent analysis unit of the highway that experienced the fault in the 10 minutes prior to each accident, and use the congestion level at this time as the analysis margin.

[0022] Calculate the total time using the first calculation formula;

[0023] The adjusted analytical margin is calculated using the third calculation formula;

[0024] Extract the analysis margin of each smallest unit in all accidents, and use the fourth calculation formula to extract the optimal analysis margin;

[0025] The first calculation formula is:

[0026] TZ = MAX(T1, T2, ..., Tn)

[0027] Where TZ is the total time, MAX() is the maximum value extraction function, T1, T2, ..., Tn is the accident handling cycle of the 1st, 2nd, ..., nth smallest unit within the scope of each accident's influence, and n is the total number of smallest units within the scope of each accident's influence.

[0028] The second calculation formula is:

[0029] Bi=Ti÷TZ

[0030] Where Bi is the time percentage of the i-th smallest unit within the scope of each accident's impact, and Ti is the accident handling cycle of the i-th smallest unit within the scope of each accident's impact.

[0031] The third calculation formula is:

[0032] F = (1.7 - Bi) × Y

[0033] Where F is the adjusted analysis margin, and Y is the analysis margin;

[0034] The fourth calculation formula is:

[0035] zz=Min(F1,...,Fk,...,Fn)

[0036] Where F1, ..., Fk, ..., Fn are the adjusted analysis margins of the current smallest analysis unit in the 1st, ..., kth, ..., nth accidents, and zz is the optimal analysis margin.

[0037] In one or more embodiments, preferably, the set of emergency command functions pre-set to a minimum analysis unit specifically includes:

[0038] Determine the smallest unit of analysis that will be affected by each source accident occurring in the current smallest unit of analysis, and use this as the emergency command set;

[0039] The union of all emergency command sets corresponding to the source accidents occurring in the current smallest analysis unit is the set of emergency commands corresponding to the current smallest analysis unit.

[0040] In one or more embodiments, preferably, the step of analyzing the online congestion level based on the optimal analytical margin of each minimum unit to form the current command set range specifically includes:

[0041] The optimal analytical margin of each smallest unit is obtained, and it is determined whether it meets the fifth calculation formula. If it does, it is considered to belong to the smallest unit with a probability of risk.

[0042] The set of emergency commands corresponding to the smallest unit of all risk probabilities is combined to form the scope of the command set at the current moment;

[0043] The fifth calculation formula is:

[0044] zz <sc

[0045] Where sc represents the measured level of congestion.

[0046] In one or more embodiments, preferably, determining whether a simultaneity anomaly exists, and if so, updating the current command set range to the simultaneous analysis command set range, specifically includes:

[0047] After obtaining the smallest unit that satisfies the fifth calculation formula, the range of the command set corresponding to it is obtained, which is used as the first command set range.

[0048] Within a fixed time interval, continuously determine whether there is a second minimum unit that satisfies the fifth calculation formula. If it exists, it is considered that there is a simultaneity anomaly, and the command set range of the newly added risk probability minimum unit is extracted as the second command set range. If it does not exist, it is considered that there is no simultaneity anomaly.

[0049] The union of the first command set range and the second command set range is used as the command set range for simultaneous analysis.

[0050] According to a second aspect of the present invention, a highway emergency command system is provided.

[0051] In one or more embodiments, preferably, the highway emergency command system includes:

[0052] The unit setting module is used to set the smallest unit for emergency command on highways;

[0053] The data analysis module is used to extract the congestion level and accident handling cycle for each smallest analysis unit;

[0054] The margin reservation module is used to determine the congestion level and accident handling cycle corresponding to all historical data, and to extract the optimal analysis margin for each smallest unit.

[0055] The emergency command module is used to pre-set a collection of emergency commands for the smallest analytical unit;

[0056] The probability analysis module is used to analyze the online congestion level based on the optimal analysis margin of each smallest unit, and form the command set range at the current moment;

[0057] The internal arrangement module is used to determine whether there is a simultaneity anomaly. If so, it updates the current command set range to the simultaneous analysis command set range.

[0058] According to a third aspect of the present invention, a computer-readable storage medium is provided that stores computer program instructions thereon, which, when executed by a processor, implement the method as described in any one of the first aspects of the present invention.

[0059] According to a fourth aspect of the present invention, an electronic device is provided, including a memory and a processor, wherein the memory is used to store one or more computer program instructions, wherein the one or more computer program instructions are executed by the processor to implement the method described in any one aspect of the present invention.

[0060] The technical solutions provided by the embodiments of the present invention may include the following beneficial effects:

[0061] In this invention, by comparing and analyzing the congestion status of different smallest units, the risk of regional congestion time can be determined, and a certain degree of correction can be made based on the impact of congestion time, thereby improving the prediction and control of congestion risk.

[0062] In this invention, by performing simultaneity analysis on the smallest units that continuously pose a risk within a preset time period, the main control area for evacuation can be determined, congestion risks can be addressed in a concentrated manner, the command area can be quickly identified, and the efficiency of emergency command on highways can be improved.

[0063] Other features and advantages of the invention will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention may be realized and obtained by means of the structures particularly pointed out in the written description, claims, and drawings.

[0064] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Attached Figure Description

[0065] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used 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 those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0066] Figure 1 This is a flowchart of a highway emergency command method according to an embodiment of the present invention.

[0067] Figure 2 This is a flowchart illustrating the setting of the smallest unit for highway emergency command in an embodiment of the present invention.

[0068] Figure 3 This is a flowchart illustrating the extraction of congestion levels and accident handling cycles for each smallest analysis unit in a highway emergency command method according to an embodiment of the present invention.

[0069] Figure 4 This is a flowchart illustrating a highway emergency command method according to an embodiment of the present invention, which involves determining the congestion level and accident handling cycle corresponding to all historical data to form an optimal analysis margin for each smallest unit.

[0070] Figure 5This is a flowchart of a pre-set minimum analysis unit set of emergency command in a highway emergency command method according to an embodiment of the present invention.

[0071] Figure 6 This is a flowchart illustrating a highway emergency command method according to an embodiment of the present invention, which analyzes the online congestion level based on the optimal analysis margin of each smallest unit to form the current command set range.

[0072] Figure 7 This is a flowchart illustrating the process of determining whether a simultaneity anomaly exists in a highway emergency command method according to an embodiment of the present invention, and updating the current command set range to the range of simultaneous analysis command sets if an anomaly exists.

[0073] Figure 8 This is a structural diagram of a highway emergency command system according to an embodiment of the present invention.

[0074] Figure 9 This is a structural diagram of an electronic device according to one embodiment of the present invention. Detailed Implementation

[0075] In some of the processes described in the specification, claims, and accompanying drawings of this invention, multiple operations appearing in a specific order are included. However, it should be clearly understood that these operations may not be executed in the order they appear herein, or may be executed in parallel. The operation numbers, such as 101, 102, etc., are merely used to distinguish different operations and do not represent any execution order. Furthermore, these processes may include more or fewer operations, and these operations may be executed sequentially or in parallel. It should be noted that the descriptions such as "first," "second," etc., in this document are used to distinguish different messages, devices, modules, etc., and do not represent a sequential order, nor do they limit "first" and "second" to different types.

[0076] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0077] With the rapid increase in the mileage of expressways, traffic safety risks have also increased, and various traffic anomalies frequently occur on expressways. These anomalies often lead to congestion and accidents, therefore, expressway conditions require close monitoring.

[0078] Prior to this invention, existing technologies for controlling highway information mainly focused on post-event retrieval, with very few instances of preventative pre-event analysis. This was primarily because highway information is interconnected, and there is a significant linkage effect between highway information from different regions. This can easily lead to a butterfly effect due to incorrect judgments, resulting in more serious problems or accidents.

[0079] This invention provides a highway emergency command system. This system, by dividing the system into the smallest units and analyzing historical data, enables rapid early warning of areas prone to abnormal situations, and allows for the swift evacuation of highway traffic risks based on adjustments made within those areas.

[0080] According to a first aspect of the present invention, a highway emergency command method is provided.

[0081] Figure 1 This is a flowchart of a highway emergency command method according to an embodiment of the present invention.

[0082] In one or more embodiments, preferably, the highway emergency command method includes:

[0083] S101. Establish the smallest unit for emergency command on highways;

[0084] S102. Extract the congestion level and accident handling cycle for each smallest analysis unit;

[0085] S103. Determine the congestion level and accident handling cycle corresponding to all historical data, and extract the optimal analysis margin for each smallest unit;

[0086] S104. A set of emergency command functions pre-configured for the smallest analytical unit;

[0087] S105. Analyze the online congestion level based on the optimal analytical margin of each minimum unit to form the current command set range;

[0088] S106. Determine if there is a simultaneity anomaly. If so, update the current command set range to the simultaneous analysis command set range.

[0089] In this embodiment of the invention, highway information is interconnected, and there is a significant linkage effect between highway information in different regions. Therefore, it is necessary to clarify the characteristics of this linkage relationship, and then determine the command area based on the characteristics of the linkage relationship. Based on the scope of the command area, rapid emergency command and control of the expressway can be achieved, thereby improving the efficiency of expressway management and control.

[0090] Figure 2 This is a flowchart illustrating the setting of the smallest unit for highway emergency command in an embodiment of the present invention.

[0091] like Figure 2 As shown, in one or more embodiments, preferably, the smallest unit for setting up highway emergency command specifically includes:

[0092] S201. Based on the roadside equipment, the highway was divided into different sections. A perpendicular line was drawn at the midpoint of the straight-line distance between every two roadside equipment to divide the highway.

[0093] S202, Divide into several control areas, forming several minimum unit-based assessments.

[0094] In this embodiment of the invention, in order to quickly analyze the emergency warning and control capabilities of highways, firstly, based on roadside equipment, the minimum unitization assessment of different ranges of highways was carried out to form several minimum highway emergency execution units. On this basis, the disassembly control was completed using the minimum analysis unit of the highway.

[0095] Figure 3 This is a flowchart illustrating the extraction of congestion levels and accident handling cycles for each smallest analysis unit in a highway emergency command method according to an embodiment of the present invention.

[0096] like Figure 3 As shown, in one or more embodiments, preferably, the extraction of congestion level and accident handling cycle under each smallest analysis unit specifically includes:

[0097] S301. Extract historical data for each smallest analysis unit, wherein the historical data includes at least the congestion level;

[0098] S302. Based on the congestion level, determine the incident handling cycle for each congestion, specifically the total duration exceeding the predetermined congestion level.

[0099] In this embodiment of the invention, historical data under each analysis unit is analyzed. This data mainly includes vehicle traffic information, whether there are congestion or accidents in the corresponding area that cannot be directly resolved, and the accident handling cycle is recorded.

[0100] Figure 4 This is a flowchart illustrating a highway emergency command method according to an embodiment of the present invention, which involves determining the congestion level and accident handling cycle corresponding to all historical data to form an optimal analysis margin for each smallest unit.

[0101] like Figure 4 As shown, in one or more embodiments, preferably, the step of determining the congestion level and accident handling cycle corresponding to all historical data to form the optimal analysis margin for each smallest unit specifically includes:

[0102] S401. Extract the set of the smallest consecutively adjacent analysis units that generate an accident handling cycle greater than 0 at the time of each accident, and use this set as the scope of the accident's impact.

[0103] S402. Extract the congestion level of the smallest adjacent analysis unit of the highway that experienced the fault in the 10 minutes before each accident, and use the congestion level at this time as the analysis margin.

[0104] S403. Calculate the total time using the first calculation formula;

[0105] S404. Calculate the adjusted analytical margin using the third calculation formula;

[0106] S405. Extract the analysis margin of each smallest unit in all accidents, and use the fourth calculation formula to extract the optimal analysis margin.

[0107] The first calculation formula is:

[0108] TZ = MAX(T1, T2, ..., Tn)

[0109] Where TZ is the total time, MAX() is the maximum value extraction function, T1, T2, ..., Tn is the accident handling cycle of the 1st, 2nd, ..., nth smallest unit within the scope of each accident's influence, and n is the total number of smallest units within the scope of each accident's influence.

[0110] The second calculation formula is:

[0111] Bi=Ti÷TZ

[0112] Where Bi is the time percentage of the i-th smallest unit within the scope of each accident's impact, and Ti is the accident handling cycle of the i-th smallest unit within the scope of each accident's impact.

[0113] The third calculation formula is:

[0114] F = (1.7 - Bi) × Y

[0115] Where F is the adjusted analysis margin, and Y is the analysis margin;

[0116] The fourth calculation formula is:

[0117] zz=Min(F1,...,Fk,...,Fn)

[0118] Where F1, ..., Fk, ..., Fn are the adjusted analysis margins of the current smallest analysis unit in the 1st, ..., kth, ..., nth accidents, and zz is the optimal analysis margin.

[0119] In this embodiment of the invention, the corresponding accident impact range is determined according to the accident handling cycle; each accident corresponds to an accident handling impact range and an accident handling cycle; then, the congestion level of the adjacent smallest analysis unit of the highway that experienced the fault in the 10 minutes before each accident occurs is extracted, and the congestion level at this time is used as the analysis margin; based on this, the total time is calculated using the first calculation formula; according to the total time, the time proportion of the smallest unit within the impact range of each accident is calculated using the second calculation formula; the adjusted analysis margin is calculated using the third calculation formula; and the optimal analysis margin is extracted for each smallest unit.

[0120] Figure 5 This is a flowchart of a pre-set minimum analysis unit set of emergency command in a highway emergency command method according to an embodiment of the present invention.

[0121] like Figure 5 As shown, in one or more embodiments, preferably, the set of emergency command functions pre-set to a minimum analysis unit specifically includes:

[0122] S501. Determine the smallest analysis unit that will be affected by each source accident in the current smallest analysis unit, and use it as the emergency command set;

[0123] S502. Take the union of all emergency command sets corresponding to the source accidents of the current smallest analysis unit, and that is the set of emergency commands corresponding to the current smallest analysis unit.

[0124] In this embodiment of the invention, the emergency command set is set by determining that each historical accident or congestion data will affect the current smallest analysis unit. In this case, the emergency command set of the current smallest analysis unit is considered to include these ranges, because each location in these ranges may be the cause of the accident or congestion. The emergency command set needs to be considered in advance for accident early warning analysis.

[0125] Figure 6 This is a flowchart illustrating a highway emergency command method according to an embodiment of the present invention, which analyzes the online congestion level based on the optimal analysis margin of each smallest unit to form the current command set range.

[0126] like Figure 6 As shown, in one or more embodiments, preferably, the step of analyzing the online congestion level based on the optimal analytical margin of each minimum unit to form the current command set range specifically includes:

[0127] S601. The optimal analytical margin of each smallest unit is obtained, and it is determined whether it meets the fifth calculation formula. If it does, it is considered to belong to the smallest unit with a probability of risk.

[0128] S602. Take the union of the sets of emergency commands corresponding to the smallest units of all risk probabilities to form the current command set range;

[0129] The fifth calculation formula is:

[0130] zz <sc

[0131] Where sc represents the measured level of congestion.

[0132] In this embodiment of the invention, after obtaining the optimal analysis margin of each minimum unit, it is determined whether it meets the fifth calculation formula. If it does, it is considered to belong to the minimum unit with a probability of risk. The union of the emergency command set of each minimum unit with a probability of risk is then taken, and it is considered to belong to the range of the command set.

[0133] Figure 7 This is a flowchart illustrating the process of determining whether a simultaneity anomaly exists in a highway emergency command method according to an embodiment of the present invention, and updating the current command set range to the range of simultaneous analysis command sets if an anomaly exists.

[0134] like Figure 7 As shown, in one or more embodiments, preferably, the step of determining whether there is a simultaneity anomaly, and if so, updating the current command set range to the simultaneous analysis command set range, specifically includes:

[0135] S701. After obtaining the smallest unit that satisfies the fifth calculation formula, obtain the range of the command set corresponding to it, which is used as the first command set range.

[0136] S702. Within a fixed time interval, continuously determine whether there is a second minimum unit that satisfies the fifth calculation formula. If there is, it is considered that there is a simultaneity anomaly, and extract the command set range of the newly added risk probability minimum unit as the second command set range. If there is no such unit, it is considered that there is no simultaneity anomaly.

[0137] S703. Take the union of the first command set range and the second command set range, and use it as the command set range for simultaneous analysis.

[0138] In this embodiment of the invention, the analysis method for determining whether the smallest unit that is simultaneously abnormal is as follows: After obtaining the smallest unit that satisfies the fifth calculation formula, the corresponding command set range is obtained as the first command set range; at a fixed time interval, it is extracted whether there is a second smallest unit that satisfies the fifth calculation formula within the first command set range; if there is, the command set range of the newly added risk probability smallest unit is extracted as the second command set range; the union of the first command set range and the second command set range is taken as the command set range for simultaneous analysis.

[0139] According to a second aspect of the present invention, a highway emergency command system is provided.

[0140] Figure 8 This is a structural diagram of a highway emergency command system according to an embodiment of the present invention.

[0141] In one or more embodiments, preferably, the highway emergency command system includes:

[0142] Unit setting module 801 is used to set the smallest unit for highway emergency command;

[0143] Data analysis module 802 is used to extract the congestion level and accident handling cycle under each smallest analysis unit;

[0144] The margin reservation module 803 is used to determine the congestion level and accident handling cycle corresponding to all historical data, and form the optimal analysis margin for each smallest unit.

[0145] Emergency Command Module 804 is used to pre-set a set of emergency command functions for the smallest analysis unit;

[0146] The probability analysis module 805 is used to analyze the online congestion level based on the optimal analysis margin of each smallest unit, and form the current command set range.

[0147] The internal arrangement module 806 is used to determine whether there is a simultaneity anomaly. If so, the current command set range is updated to the simultaneous analysis command set range.

[0148] In this embodiment of the invention, a system suitable for different structures is realized through a series of modular designs. This system can achieve closed-loop, reliable, and efficient execution through data acquisition, analysis, and control.

[0149] According to a third aspect of the present invention, a computer-readable storage medium is provided that stores computer program instructions thereon, which, when executed by a processor, implement the method as described in any one of the first aspects of the present invention.

[0150] According to a fourth aspect of the present invention, an electronic device is provided. Figure 9 This is a structural diagram of an electronic device according to one embodiment of the present invention. Figure 9 The illustrated electronic device is a general-purpose highway emergency command device, comprising a general-purpose computer hardware architecture, including at least a processor 901 and a memory 902. The processor 901 and memory 902 are connected via a bus 903. The memory 902 is adapted to store instructions or programs executable by the processor 901. The processor 901 can be a standalone microprocessor or a collection of one or more microprocessors. Thus, the processor 901 executes the instructions stored in the memory 902, thereby performing the method flow of the embodiments of the present invention as described above to process data and control other devices. The bus 903 connects the aforementioned components together, and also connects these components to a display controller 904, a display device, and an input / output (I / O) device 905. The input / output (I / O) device 905 can be a mouse, keyboard, modem, network interface, touch input device, motion-sensing input device, printer, and other devices known in the art. Typically, the input / output device 905 is connected to the system via an input / output (I / O) controller 906.

[0151] The technical solutions provided by the embodiments of the present invention may include the following beneficial effects:

[0152] In this invention, by comparing and analyzing the congestion status of different smallest units, the risk of regional congestion time can be determined, and a certain degree of correction can be made based on the impact of congestion time, thereby improving the prediction and control of congestion risk.

[0153] In this invention, by performing simultaneity analysis on the smallest units that continuously pose a risk within a preset time period, the main control area for evacuation can be determined, congestion risks can be addressed in a concentrated manner, the command area can be quickly identified, and the efficiency of emergency command on highways can be improved.

[0154] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage and optical storage) containing computer-usable program code.

[0155] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0156] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0157] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0158] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. A highway emergency command method, characterized in that, The method includes: Establish the smallest unit for emergency command on highways; Extract the congestion level and incident handling cycle for each smallest analysis unit; Determine the congestion level and accident handling cycle corresponding to all historical data, and extract the optimal analysis margin for each smallest unit; A set of emergency command functions pre-configured to the smallest analytical unit; Based on the optimal analytical margin of each smallest unit, the online congestion level is analyzed to form the current command set range; Determine if there is a simultaneity anomaly; if so, update the current command set range to the simultaneous analysis command set range. Specifically, the step of analyzing the online congestion level based on the optimal analytical margin of each smallest unit to form the current command set range includes: The optimal analytical margin of each smallest unit is obtained, and it is determined whether it meets the fifth calculation formula. If it does, it is considered to belong to the smallest unit with a probability of risk. The set of emergency commands corresponding to the smallest unit of all risk probabilities is combined to form the scope of the command set at the current moment; The fifth calculation formula is: zz <sc Where sc represents the measured congestion level, and zz represents the optimal analysis margin; Specifically, determining whether a simultaneity anomaly exists, and updating the current command set range to the simultaneous analysis command set range if an anomaly exists, includes: After obtaining the smallest unit that satisfies the fifth calculation formula, the range of the command set corresponding to it is obtained, which is used as the first command set range. Within a fixed time interval, continuously determine whether there is a second minimum unit that satisfies the fifth calculation formula within the fixed time interval. If it exists, it is considered that there is a simultaneity anomaly, and the command set range of the newly added risk probability minimum unit is extracted as the second command set range. If it does not exist, it is considered that there is no simultaneity anomaly. The union of the first command set range and the second command set range is used as the command set range for simultaneous analysis.

2. The highway emergency command method as described in claim 1, characterized in that, The smallest unit for setting up emergency command on highways specifically includes: Based on the roadside equipment, the highway was divided into different sections. A perpendicular line was drawn at the midpoint of the straight-line distance between every two roadside equipment sections to divide the highway. It is divided into several control areas, forming several minimum unit-based assessments.

3. The highway emergency command method as described in claim 1, characterized in that, The extraction of congestion level and incident handling cycle under each smallest analysis unit specifically includes: Extract historical data for each smallest unit of analysis, wherein the historical data includes at least the level of congestion. Based on the congestion level, the incident handling cycle for each congestion event is determined, specifically the total duration exceeding the predetermined congestion level.

4. The highway emergency command method as described in claim 1, characterized in that, The process involves determining the congestion level and incident handling cycle corresponding to all historical data, forming the optimal analytical margin for each smallest unit, specifically including: Extract the set of the smallest consecutively adjacent analysis units that generate an accident handling cycle greater than 0 at the time of each accident, and use this set as the scope of the accident's impact. Extract the congestion level of the smallest adjacent analysis unit of the highway that experienced the fault in the 10 minutes prior to each accident, and use the congestion level at this time as the analysis margin. Calculate the total time using the first calculation formula; The adjusted analytical margin is calculated using the third calculation formula; Extract the analysis margin of each smallest unit in all accidents, and use the fourth calculation formula to extract the optimal analysis margin; The first calculation formula is: TZ = MAX(T1, T2, ..., Tn) Where TZ is the total time, MAX() is the maximum value extraction function, T1, T2, ..., Tn is the accident handling cycle of the 1st, 2nd, ..., nth smallest unit within the scope of each accident's influence, and n is the total number of smallest units within the scope of each accident's influence. The second calculation formula is: Bi = Ti ÷ TZ Where Bi is the time percentage of the i-th smallest unit within the scope of each accident's impact, and Ti is the accident handling cycle of the i-th smallest unit within the scope of each accident's impact. The third calculation formula is: F = (1.7 - Bi) × Y Where F is the adjusted analysis margin, and Y is the analysis margin; The fourth calculation formula is: zz=Min(F1,……,Fk,……,Fn) Where F1, ..., Fk, ..., Fn are the adjusted analysis margins of the current smallest analysis unit in the 1st, ..., kth, ..., nth accidents, and zz is the optimal analysis margin.

5. The highway emergency command method as described in claim 1, characterized in that, The set of emergency command functions pre-set to the minimum analysis unit specifically includes: Determine the smallest unit of analysis that will be affected by each source accident occurring in the current smallest unit of analysis, and use this as the emergency command set; The union of all emergency command sets corresponding to the source accidents occurring in the current smallest analysis unit is the set of emergency commands corresponding to the current smallest analysis unit.

6. A highway emergency command system, characterized in that, The system is used to implement the method as described in any one of claims 1-5, the system comprising: The unit setting module is used to set the smallest unit for emergency command on highways; The data analysis module is used to extract the congestion level and accident handling cycle for each smallest analysis unit; The margin reservation module is used to determine the congestion level and accident handling cycle corresponding to all historical data, and to extract the optimal analysis margin for each smallest unit. The emergency command module is used to pre-set a collection of emergency commands for the smallest analytical unit; The probability analysis module is used to analyze the online congestion level based on the optimal analysis margin of each smallest unit, and form the command set range at the current moment; The internal arrangement module is used to determine whether there is a simultaneity anomaly. If so, it updates the current command set range to the simultaneous analysis command set range.

7. A computer-readable storage medium storing computer program instructions thereon, characterized in that, The computer program instructions, when executed by a processor, implement the method as described in any one of claims 1-5.

8. An electronic device comprising a memory and a processor, characterized in that, The memory is used to store one or more computer program instructions, wherein the one or more computer program instructions are executed by the processor to implement the method as described in any one of claims 1-5.

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