A highway intelligent traffic behavior analysis and emergency response method and system

Abstract

The present invention relates to the field of intelligent traffic control technology, specifically to a method and system for intelligent traffic behavior analysis and emergency response on a highway. The present invention sets acquisition parameters, collects traffic flow information of different roads according to the acquisition parameters, calculates a traffic flow evaluation coefficient based on the traffic flow information, then creates and trains a traffic flow evaluation model, obtains a trained traffic flow evaluation model, and then collects real-time traffic flow information of the road to obtain a real-time road evaluation of the road. If the real-time road evaluation of the road is greater than or equal to an adjustment threshold, the real-time traffic flow evaluation coefficient of the prepared road is calculated through the real-time traffic flow information, and the road traffic is adjusted based on the real-time traffic flow evaluation coefficient of the prepared road. The present application considers the influence of different acquisition nodes on the traffic flow evaluation model, so that the result of the road evaluation is closer to the traffic conditions of the highway during holidays, and the target road is adjusted according to the road evaluation.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent traffic control, and in particular to a method and system for intelligent traffic behavior analysis and emergency response on a highway. Background Art

[0002] Expressways, or highways for short, refer to roads designed for high-speed driving. Expressways have different regulations in different countries, regions, eras, and scientific research fields. The development of expressways affects the evolution of the spatial structure of urban agglomerations, attracting a large number of industries to locate along the lines, build factories, and construction bases; expanding the scope of people's activities, promoting the formation of satellite towns and economic and cultural exchanges between urban and rural areas, reducing traffic pressure, and adjusting urban layout.

[0003] Patent CN115964864A proposes a simulation-driven emergency control method for highway accidents, and proposes a dynamic matching of traffic control strategies based on a highway control strategy expert library. However, the prior art does not take into account that the traffic flow on highways is a data volume with strong time characteristics. The traffic flow on highways during holidays is much larger than that on weekdays. Therefore, emergency adjustments to highways are difficult to adapt to situations with huge traffic flows during holidays. Summary of the invention

[0004] The purpose of the present invention is to address the problems existing in the background technology and to propose a method and system for intelligent highway traffic behavior analysis and emergency response.

[0005] The technical solution of the present invention:

[0006] On the one hand, a method for analyzing and responding to intelligent highway traffic behavior is provided, comprising:

[0007] Setting acquisition parameters, collecting traffic flow information of different target roads according to the acquisition parameters, and calculating the traffic flow evaluation coefficient of each section of the target road based on the collected traffic flow information of the target roads; the acquisition parameters include an acquisition cycle and an acquisition node;

[0008] Create a traffic flow evaluation model;

[0009] The traffic flow evaluation model is trained using the traffic flow evaluation coefficient and traffic flow information of the target road to obtain a trained traffic flow evaluation model; the trained traffic flow evaluation model has the ability to automatically output a road evaluation of a certain section of road according to the traffic flow information of the input section of road;

[0010] Collecting real-time traffic flow information of the regulated road, and inputting the real-time traffic flow information into the trained traffic flow evaluation model to obtain the real-time road evaluation of the regulated road;

[0011] Determining whether the real-time road evaluation of the regulated road is greater than or equal to the regulation threshold;

[0012] If the real-time road evaluation of the adjusted road is greater than or equal to the adjustment threshold, the real-time traffic flow evaluation coefficient of the prepared road is calculated through the real-time traffic flow information, and the road traffic is adjusted based on the real-time traffic flow evaluation coefficient of the prepared road.

[0013] Preferably, setting acquisition parameters, acquiring traffic flow information of different target roads according to the acquisition parameters, and calculating the traffic flow evaluation coefficient of each section of the target road based on the acquired traffic flow information of the target roads, including:

[0014] Create a traffic information table;

[0015] Select a target road;

[0016] Setting collection parameters for the target road section, collecting multiple traffic flow information for the target road section based on the collection parameters, and putting all collected traffic flow information into a traffic flow information table; the traffic flow information includes an average speed of all vehicles passing through the target road section and a total number of vehicles passing through the target road section;

[0017] Return to select a section of target road until all target roads are selected, and obtain multiple traffic flow information of each section of road.

[0018] Preferably, setting collection parameters, collecting traffic flow information of different target roads according to the collection parameters, and calculating the traffic flow evaluation coefficient of each section of the target road based on the collected traffic flow information of the target roads, further comprising:

[0019] Select a section of target road and all the traffic flow information of the section of target road from the traffic flow information table;

[0020] The traffic flow evaluation sub-coefficient of the target road section is calculated by formula 1;

[0021] Formula 1;

[0022] in, is the traffic flow evaluation sub-coefficient corresponding to the traffic flow information corresponding to the i+1th collection node of the mth target road section, is the total number of vehicles corresponding to the i+1th collection node on the mth target road, It is the average speed of all vehicles corresponding to the i+1th collection node on the mth target road.

[0023] Preferably, setting collection parameters, collecting traffic flow information of different target roads according to the collection parameters, and calculating the traffic flow evaluation coefficient of each section of the target road based on the collected traffic flow information of the target roads, further comprising:

[0024] The traffic flow evaluation coefficient of the target road section is calculated by formula 2 based on the traffic flow evaluation sub-coefficient of the target road section;

[0025] Formula 2;

[0026] in, is the traffic flow evaluation coefficient of the mth target road, is the traffic flow evaluation sub-coefficient corresponding to the traffic flow information of the i+1th collection node of the mth target road, is the weight coefficient corresponding to the i+1th collection node, n is the total number of collection nodes, i is the ordinal number of the collection node, and i∈[1,n];

[0027] Return to select a section of target road and the traffic flow information of the section of target road from the traffic flow information table until all target roads are selected, and obtain the traffic flow evaluation coefficient of each section of target road.

[0028] Preferably, the traffic flow evaluation model is trained using the traffic flow evaluation coefficient and traffic flow information of the target road to obtain the trained traffic flow evaluation model, including:

[0029] Obtain multiple target roads and the traffic flow evaluation coefficient of each target road;

[0030] Set the road evaluation and the range of traffic flow evaluation coefficients corresponding to each road evaluation;

[0031] Create a traffic flow evaluation model;

[0032] Multiple target roads, the traffic flow evaluation coefficient of each target road, the road evaluation and the traffic flow evaluation coefficient range corresponding to each road evaluation are input as training sets into the traffic flow evaluation model to train the traffic flow evaluation model and obtain the trained traffic flow evaluation model.

[0033] Preferably, multiple target roads, the traffic flow evaluation coefficient of each target road, the road evaluation and the traffic flow evaluation coefficient range corresponding to each road evaluation are input as training sets into the traffic flow evaluation model to train the traffic flow evaluation model, and the trained traffic flow evaluation model is obtained, including:

[0034] Select a section of road and the traffic flow evaluation coefficient of the section of road;

[0035] Determine the traffic flow evaluation coefficient range of the traffic flow evaluation coefficient of the road section;

[0036] Determine and output the road evaluation of the section of road according to the range of the traffic flow evaluation coefficient of the section of road;

[0037] Return the selected road section and the traffic flow evaluation coefficient of the road section until the road evaluation of each road section is obtained.

[0038] Preferably, collecting real-time traffic flow information of the regulated road and inputting the real-time traffic flow information into the trained traffic flow evaluation model to obtain the real-time road evaluation of the regulated road includes:

[0039] Obtain a section of regulated road and real-time traffic information of the section of regulated road; record the section of regulated road as a main road;

[0040] Input the real-time traffic flow information of the main road into the traffic flow evaluation model to obtain the real-time road evaluation of the main road;

[0041] Set the adjustment threshold;

[0042] Determine whether the real-time road evaluation of the main road is greater than or equal to the adjustment threshold;

[0043] If the real-time road evaluation of the main road is less than the adjustment threshold, the operation status of the main road is maintained.

[0044] Preferably, the real-time traffic flow information of the main road is input into the traffic flow evaluation model to obtain the real-time road evaluation of the main road, including:

[0045] The real-time traffic flow evaluation coefficient of the main road is calculated by formula 3;

[0046] Formula 3;

[0047] Among them, tf is the real-time traffic flow evaluation coefficient of the main road, P is the real-time total number of vehicles on the main road, and V is the real-time average speed of all vehicles on the main road.

[0048] Preferably, if the real-time road evaluation of the adjustment road is greater than or equal to the adjustment threshold, the real-time traffic flow evaluation coefficient of the preparation road is calculated by the real-time traffic flow information, and the road traffic is adjusted based on the real-time traffic flow evaluation coefficient of the preparation road, including:

[0049] Acquire multiple sections of connected roads closest to the exit of the main road; record the connected roads as reserve roads;

[0050] Obtaining the traffic flow evaluation coefficient of each section of the prepared road and the real-time traffic flow information of each section of the prepared road;

[0051] The real-time traffic flow evaluation sub-coefficient of each section of the prepared road is calculated by formula 4;

[0052] Formula 4;

[0053] Among them, tf q is the real-time traffic flow evaluation sub-coefficient corresponding to the real-time traffic flow information of the qth section of the prepared road, P q is the total number of vehicles in the qth prepared road in real time, Vq is the real-time average speed of all vehicles on the qth section of prepared road;

[0054] The real-time traffic flow evaluation coefficient of each section of the prepared road is calculated by formula 5;

[0055] Formula 5;

[0056] Among them, TC q is the real-time traffic flow evaluation coefficient of the qth section of the preparation road, tf qi is the traffic flow evaluation coefficient corresponding to the traffic flow information collected at the i-th time for the q-th section of the preparation road, tf q is the real-time traffic flow evaluation sub-coefficient corresponding to the real-time traffic flow information of the qth section of preparation road;

[0057] Obtain each prepared road and the real-time traffic flow evaluation coefficient of each prepared road;

[0058] Arrange in order from large to small according to the size of the real-time traffic flow evaluation coefficient;

[0059] Select the reserve roads corresponding to the last N real-time traffic flow evaluation coefficients, and open the connection between the selected N reserve roads and the main road.

[0060] On the other hand, the present application also provides a highway intelligent traffic behavior analysis and emergency response system, including:

[0061] A collection component, which is disposed on a target road and collects traffic information of the target road;

[0062] A processing component, wherein the collection component is communicatively connected with the processing component, and the highway intelligent traffic behavior analysis and emergency response method as described in any one of the above is executed through the processing component.

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

[0064] By setting the collection parameters, the traffic flow information of different roads is collected according to the collection parameters, and the traffic flow evaluation coefficient of each section of road is calculated based on the collected traffic flow information of the roads. Then, a traffic flow evaluation model is created and trained to obtain the trained traffic flow evaluation model. Then, the real-time traffic flow information of the road is collected to obtain the real-time road evaluation of the road. If the real-time road evaluation of the road is greater than or equal to the adjustment threshold, the real-time traffic flow evaluation coefficient of the preparation road is calculated according to the real-time traffic flow information, and the road traffic is adjusted based on the real-time traffic flow evaluation coefficient of the preparation road. The present application considers the impact of different collection nodes on the traffic flow evaluation model, so that the result of the road evaluation is closer to the traffic conditions of the highway during holidays, and adjusts the target road according to the road evaluation. BRIEF DESCRIPTION OF THE DRAWINGS

[0065] Figure 1 A schematic diagram of a flow chart of a highway intelligent traffic behavior analysis and emergency response method proposed by the present invention;

[0066] Figure 2 This is a structural schematic diagram of a highway intelligent traffic behavior analysis and emergency response system proposed by the present invention.

[0067] Reference numerals:

[0068] 100, acquisition component; 200, processing component. DETAILED DESCRIPTION

[0069] Embodiment 1, as Figure 1 As shown, the present invention proposes a highway intelligent traffic behavior analysis and emergency response method, comprising:

[0070] S100, setting acquisition parameters, acquiring traffic flow information of different target roads according to the acquisition parameters, and calculating a traffic flow evaluation coefficient of each section of the target road based on the acquired traffic flow information of the target roads; the acquisition parameters include an acquisition cycle and an acquisition node;

[0071] Specifically, a collection cycle includes multiple collection nodes. To ensure data reliability, the time length between every two adjacent collection nodes is the same;

[0072] Since the collection node is a time node, which is only a moment, the "average speed of all vehicles passing through the target road" is actually the average speed of all vehicles passing through the target road between two adjacent collection nodes, and the "total number of vehicles passing through the target road" is also the total number of vehicles passing through the target road between two adjacent collection nodes;

[0073] S200, creating a traffic flow evaluation model;

[0074] S300, using the traffic flow evaluation coefficient and traffic flow information of the target road to train a traffic flow evaluation model, to obtain a trained traffic flow evaluation model; the trained traffic flow evaluation model has the ability to automatically output a road evaluation of a certain section of road according to the traffic flow information of the certain section of road input;

[0075] S400, collecting real-time traffic flow information of a target road, and inputting the real-time traffic flow information into a trained traffic flow evaluation model to obtain a real-time road evaluation of the target road;

[0076] S500, determining whether the real-time road evaluation of the target road is greater than or equal to an adjustment threshold;

[0077] S600: If the real-time road evaluation of the target road is greater than or equal to the adjustment threshold, the real-time traffic flow evaluation coefficient of the preparation road is calculated through the real-time traffic flow information, and the road traffic is adjusted based on the real-time traffic flow evaluation coefficient of the preparation road.

[0078] In the present invention, by setting collection parameters, traffic flow information of different roads is collected according to the collection parameters, and the traffic flow evaluation coefficient of each section of road is calculated based on the collected traffic flow information of the roads. Then, a traffic flow evaluation model is created and trained to obtain a trained traffic flow evaluation model. Then, real-time traffic flow information of the road is collected to obtain a real-time road evaluation of the road. If the real-time road evaluation of the road is greater than or equal to an adjustment threshold, the real-time traffic flow evaluation coefficient of the prepared road is calculated through the real-time traffic flow information, and the road traffic is adjusted based on the real-time traffic flow evaluation coefficient of the prepared road. The present application considers the influence of different collection nodes on the traffic flow evaluation model, so that the result of the road evaluation is closer to the traffic conditions of the expressway during holidays, and the target road is adjusted according to the road evaluation.

[0079] In an optional embodiment, the S100 includes:

[0080] S110, creating a traffic flow information table;

[0081] S120, selecting a target road section;

[0082] Specifically, the target road should be a one-way traffic road as a separate collection road;

[0083] For example, for a highway from point A to point B, it includes two traffic directions: A to B and B to A. When selecting a target road, the road from A to B should be regarded as a separate target road, and the road from B to A should be regarded as another separate target road;

[0084] S130, setting collection parameters for the target road section, and collecting multiple traffic flow information for the target road section based on the collection parameters, and putting all the collected traffic flow information into a traffic flow information table; the traffic flow information includes an average speed of all vehicles passing through the target road section and a total number of vehicles passing through the target road section;

[0085] S140, return to S120, until all target roads are selected, and multiple traffic flow information of each target road is obtained.

[0086] It should be noted that because the traffic volume on highways is a data volume with strong time characteristics, the traffic volume on holidays such as National Day and Spring Festival is completely different from the traffic volume on weekdays. Generally speaking, the traffic volume on holidays is much larger than that on weekdays. Therefore, the collection period for roads should be set slightly longer, and at least one holiday should be included in a collection period, so that the collected traffic information can reflect the traffic information of roads at different times.

[0087] After setting the collection parameters, the traffic flow information of the corresponding roads is collected according to the collection parameters. Since the traffic flow information of different roads is also very different at the same time node, the traffic flow information of multiple roads should be collected to make the road evaluation output by the subsequent traffic flow evaluation model more universal.

[0088] The traffic flow information of multiple sections of target roads collected according to the collection parameters is shown in Table 1 Traffic Flow Information Table.

[0089] Table-1 Traffic flow information table

[0090] ;

[0091] In an optional embodiment, the step S100 further includes:

[0092] S150, selecting a section of target road and all the traffic information of the section of target road from the traffic information table;

[0093] S160, calculating the traffic flow evaluation sub-coefficient of the target road section by formula 1;

[0094] Formula 1;

[0095] in, is the traffic flow evaluation sub-coefficient corresponding to the traffic flow information corresponding to the i+1th collection node of the mth target road section, is the total number of vehicles corresponding to the i+1th collection node on the mth target road, It is the average speed of all vehicles corresponding to the i+1th collection node on the mth target road.

[0096] It should be noted that under normal circumstances, the higher the average speed of vehicles on a section of road, the higher the pass rate of this section of road, and the more vehicles passing through it. In emergency situations, such as traffic jams, the average speed of vehicles on this section of road will become lower, and its pass rate will be reduced, so the number of vehicles passing through this section of road will decrease; therefore, by taking the total number of vehicles on the target road and the average speed of vehicles passing through the target road as the evaluation indicators of the target road, the traffic flow evaluation sub-coefficient of the target road is created, and the traffic flow evaluation sub-coefficient of the target road is used as a reference indicator for the road evaluation of the target road at a single collection node. Specifically, the higher the traffic flow evaluation sub-coefficient, the higher the peer efficiency of the target road.

[0097] In an optional embodiment, the S100 further includes:

[0098] S170, calculating the traffic flow evaluation coefficient of the target road section by using Formula 2 based on the traffic flow evaluation sub-coefficient of the target road section;

[0099] Formula 2;

[0100] in, is the traffic flow evaluation coefficient of the mth target road, is the traffic flow evaluation sub-coefficient corresponding to the traffic flow information of the i+1th collection node of the mth target road, is the weight coefficient corresponding to the i+1th collection node, n is the total number of collection nodes, i is the ordinal number of the collection node, and i∈[1,n];

[0101] Specifically, the weight coefficient of holidays should be greater than that of weekdays;

[0102] S180, return to S150, until all target roads are selected, and the traffic flow evaluation coefficient of each target road is obtained.

[0103] It should be noted that, since the traffic information of expressways has a strong time characteristic, the traffic evaluation sub-coefficients obtained at different collection nodes can only be used to evaluate the passing efficiency of the target road at the collection node. Therefore, it is necessary to evaluate the overall passing efficiency of the target road during the collection period by calculating the traffic evaluation coefficient. Under normal circumstances, the target road has a surplus of capacity on weekdays, while on holidays, the target road is fully loaded or even overloaded. At this time, the road capacity of the target road may be difficult to meet the vehicle traffic demand, and it is more likely to cause emergencies. Therefore, in order to more accurately reflect the road status of the target road on holidays, the weight coefficient is set to adjust the proportion of the traffic evaluation sub-coefficients of different collection nodes in the traffic evaluation coefficient, so that the traffic evaluation coefficient can better act on the adjustment of the target road on holidays.

[0104] When calculating the traffic flow evaluation coefficient, a corresponding weight coefficient is set for each collection node of the target road, so that the calculated traffic flow evaluation coefficient can more accurately reflect the overall traffic flow situation of the target road.

[0105] In an optional embodiment, the S300 includes:

[0106] S310, obtaining multiple target roads and a traffic flow evaluation coefficient of each target road;

[0107] S320, setting road evaluation and a traffic flow evaluation coefficient range corresponding to each road evaluation;

[0108] Specifically, the range of the traffic flow evaluation coefficient range corresponding to each road evaluation of a road with more lanes should be greater than the range of the traffic flow evaluation coefficient range corresponding to each road evaluation of a road with fewer lanes;

[0109] S330, creating a traffic flow evaluation model;

[0110] S340, inputting the plurality of target roads, the traffic flow evaluation coefficient of each target road, the road evaluation, and the traffic flow evaluation coefficient range corresponding to each road evaluation as a training set into a traffic flow evaluation model to train the traffic flow evaluation model, thereby obtaining a trained traffic flow evaluation model;

[0111] Specifically, the acquired multiple target roads and the traffic flow evaluation coefficients of each target road need to be divided into training sets and test sets according to random proportions, wherein the data samples of the training set are input into the traffic flow evaluation model to train the traffic flow evaluation model, and the data samples of the test set are used to verify the training effect of the trained traffic flow evaluation model.

[0112] It should be noted that, since expressways include single lanes, dual lanes, and multiple lanes, the range of traffic flow evaluation coefficients for target roads with different numbers of lanes should also be set in combination with the number of lanes of the target roads; for target roads with fewer lanes, at the same speed and the same time, the maximum total number of vehicles passing through is less than that of target roads with more lanes, so the range of traffic flow evaluation coefficients corresponding to the road evaluation of target roads with fewer lanes is also set smaller. Specifically, the road evaluations for target roads with different numbers of lanes and the range of traffic flow evaluation coefficients corresponding to each road evaluation are shown in Table-2 Road Evaluation Table.

[0113] Table-2 Road Evaluation Table

[0114] ;

[0115] In an optional embodiment, the S340 includes:

[0116] S341, selecting a section of target road and a traffic flow evaluation coefficient of the section of target road;

[0117] S342, determining the traffic flow evaluation coefficient range of the traffic flow evaluation coefficient of the target road section;

[0118] S343, determining and outputting a road evaluation of the target road segment according to the range of the traffic flow evaluation coefficient of the target road segment;

[0119] S344, return to S341, until the road evaluation of each section of the target road is obtained.

[0120] It should be noted that the target road L described in the above embodiment AB According to formula 1, the target road L can be calculated AB The evaluation traffic coefficients at the two collection nodes of 9.30 and 10.1 are 913000 and 1155000 respectively. AB The weight coefficient of the collection node at 9.30 is set to 0.3, and the target road L AB The weight coefficient of the collection node at 10.1 is set to 0.7. According to Formula 2, the target road L can be calculated. AB The traffic flow evaluation coefficient is 1082400.

[0121] Since the target road L AB It is a one-way two-lane road, so according to the data in the road evaluation table in Table 2, it can be concluded that the target road L AB The road evaluation during the collection period of 9.30-10.1 was normal.

[0122] In an optional embodiment, the S400 includes:

[0123] S410, obtaining a section of regulated road and real-time traffic information of the section of regulated road; recording the section of regulated road as a main road;

[0124] S420, inputting the real-time traffic flow information of the main road into the traffic flow evaluation model to obtain the real-time road evaluation of the main road;

[0125] Specifically, the real-time road evaluation of the main road is obtained by inputting the real-time traffic flow information of the main road into the traffic flow evaluation model, and then sequentially executing the relevant steps of the above-mentioned embodiment;

[0126] S430, setting an adjustment threshold;

[0127] S440, determining whether the real-time road evaluation of the main road is greater than or equal to the adjustment threshold;

[0128] S450: If the real-time road evaluation of the main road is less than the adjustment threshold, the operation state of the main road is maintained.

[0129] It should be noted that the reason for setting the adjustment threshold is to make the adjustment of the main roads more free. If the adjustment threshold is set high, there is no need to make adjustments when the real-time road evaluation is small, thereby concentrating resources on adjusting roads with higher congestion.

[0130] In an optional embodiment, the S420 further includes:

[0131] S421, calculating the real-time traffic flow evaluation coefficient of the main road by formula 3;

[0132] Formula 3;

[0133] Among them, tf is the real-time traffic flow evaluation coefficient of the main road, P is the real-time total number of vehicles on the main road, and V is the real-time average speed of all vehicles on the main road;

[0134] It should be noted that the real-time traffic flow information of the main road is not the traffic flow information on the main road at a moment, but the traffic flow information of the main road within a short collection time, and the collection time should be as close as possible to the time node when the instruction of "collecting real-time traffic flow information on the main road" is received.

[0135] When it is necessary to obtain real-time traffic information on the main roads, the collection parameters of the collection component can be adjusted, for example, the collection node of the collection component is set to one hour after receiving the instruction "collect real-time traffic information on the main roads", so as to complete the collection of real-time traffic information.

[0136] In an optional embodiment, the S600 includes:

[0137] S610, obtaining multiple sections of connected roads closest to the exit of the main road; recording the connected roads as reserve roads;

[0138] S620, obtaining a traffic flow evaluation coefficient of each prepared road section and real-time traffic flow information of each prepared road section;

[0139] S630, calculating the real-time traffic flow evaluation sub-coefficient of each prepared road section by using Formula 4;

[0140] Formula 4;

[0141] Among them, tf q is the real-time traffic flow evaluation sub-coefficient corresponding to the real-time traffic flow information of the qth prepared road, P q is the total number of vehicles in the qth prepared road in real time, V qis the real-time average speed of all vehicles on the qth section of prepared road;

[0142] S640, calculating the real-time traffic flow evaluation coefficient of each prepared road section by using Formula 5;

[0143] Formula 5;

[0144] Among them, TC q is the real-time traffic flow evaluation coefficient of the qth section of the preparation road, tf qi is the traffic flow evaluation coefficient corresponding to the traffic flow information collected at the i-th time for the q-th section of the preparation road, tf q is the real-time traffic flow evaluation sub-coefficient corresponding to the real-time traffic flow information of the qth section of preparation road;

[0145] S650, obtaining each prepared road and a real-time traffic flow evaluation coefficient of each prepared road;

[0146] S660, arranging in descending order according to the magnitude of the real-time traffic flow evaluation coefficient;

[0147] S670, selecting the reserve roads corresponding to the last N real-time traffic flow evaluation coefficients, and opening the connection between the selected N reserve roads and the main road.

[0148] It should be noted that since you cannot get off the highway at will and can only leave the highway at the exit, in order to alleviate the congestion on the main roads, multiple sections of reserve roads are set up and the reserve roads with better road evaluation are selected to accommodate traffic from the main roads, thereby maintaining the smoothness of the reserve roads themselves while alleviating the congestion on the main roads.

[0149] Roads with smaller real-time traffic flow evaluation coefficients have higher road evaluations, that is, they are less congested and easier to pass. Therefore, after calculating the real-time traffic flow evaluation coefficients corresponding to each reserve road through Formula 4 and Formula 5, it is only necessary to select N equipment roads with smaller real-time traffic flow evaluation coefficients and open the connection between the selected N reserve roads and the main road.

[0150] Embodiment 2, as Figure 2 As shown, a highway intelligent traffic behavior analysis and emergency response system proposed by the present invention includes a collection component 100 and a processing component 200.

[0151] The collection component 100 is set on the target road, and the traffic information of the target road is collected through the collection component 100; the collection component 100 is communicated with the processing component 200, and the highway intelligent traffic behavior analysis and emergency response method as described in Example 1 is executed through the processing component 200.

[0152] It should be noted that at least one collection component 100 needs to be separately set up in each target road section where traffic flow information needs to be collected. Each collection component 100 collects the traffic flow information of the target road section and inputs the collected traffic flow information into the processing component 200. The processing component 200 combines the traffic flow information of the target road to execute the intelligent traffic behavior analysis and emergency response method for highways as described in Example 1.

[0153] The embodiments of the present invention are described in detail above with reference to the accompanying drawings, but the present invention is not limited thereto, and various changes can be made within the knowledge scope of technicians in the relevant technical field without departing from the purpose of the present invention.

Claims

1. A highway intelligent traffic behavior analysis and emergency response method, characterized in that: include: Setting acquisition parameters, collecting traffic flow information of different target roads according to the acquisition parameters, and calculating the traffic flow evaluation coefficient of each section of the target road based on the collected traffic flow information of the target roads; the acquisition parameters include an acquisition cycle and an acquisition node; Create a traffic flow evaluation model; The traffic flow evaluation model is trained using the traffic flow evaluation coefficient and traffic flow information of the target road to obtain a trained traffic flow evaluation model; the trained traffic flow evaluation model has the ability to automatically output a road evaluation of a certain section of road according to the traffic flow information of the input section of road; Collecting real-time traffic flow information of the regulated road, and inputting the real-time traffic flow information into the trained traffic flow evaluation model to obtain the real-time road evaluation of the regulated road; Determining whether the real-time road evaluation of the regulated road is greater than or equal to the regulation threshold; If the real-time road evaluation of the adjustment road is greater than or equal to the adjustment threshold, the real-time traffic flow evaluation coefficient of the preparation road is calculated through the real-time traffic flow information, and the road traffic is adjusted based on the real-time traffic flow evaluation coefficient of the preparation road; Acquire multiple sections of connected roads closest to the exit of the main road; record the connected roads as reserve roads; Obtaining the traffic flow evaluation coefficient of each section of the prepared road and the real-time traffic flow information of each section of the prepared road; The real-time traffic flow evaluation sub-coefficient of each section of the prepared road is calculated by formula 4; Formula 4: in, is the real-time traffic flow evaluation sub-coefficient corresponding to the real-time traffic flow information of the qth section of the prepared road, is the total number of vehicles in the qth prepared road in real time, is the real-time average speed of all vehicles on the qth section of prepared road; The real-time traffic flow evaluation coefficient of each section of the prepared road is calculated by formula 5; Formula 5: in, is the real-time traffic flow evaluation coefficient of the qth section of the preparation road, is the traffic flow evaluation sub-coefficient corresponding to the traffic flow information collected at the i-th time for the q-th section of the preparation road, is the real-time traffic flow evaluation sub-coefficient corresponding to the real-time traffic flow information of the qth section of preparation road; Obtain each prepared road and the real-time traffic flow evaluation coefficient of each prepared road; Arrange in order from large to small according to the size of the real-time traffic flow evaluation coefficient; Select the reserve roads corresponding to the last N real-time traffic flow evaluation coefficients, and open the connection between the selected N reserve roads and the main road.

2. A highway intelligent traffic behavior analysis and emergency response method according to claim 1, characterized in that: Set the collection parameters, collect the traffic flow information of different target roads according to the collection parameters, and calculate the traffic flow evaluation coefficient of each section of the target road based on the collected traffic flow information of the target roads, including: Create a traffic information table; Select a target road; Setting collection parameters for the target road section, collecting multiple traffic flow information for the target road section based on the collection parameters, and putting all collected traffic flow information into a traffic flow information table; the traffic flow information includes an average speed of all vehicles passing through the target road section and a total number of vehicles passing through the target road section; Return to select a section of target road until all target roads are selected, and obtain multiple traffic flow information of each section of road.

3. A highway intelligent traffic behavior analysis and emergency response method according to claim 2, characterized in that: Setting collection parameters, collecting traffic flow information of different target roads according to the collection parameters, and calculating the traffic flow evaluation coefficient of each section of the target road based on the collected traffic flow information of the target roads, further comprising: Select a section of target road and all the traffic flow information of the section of target road from the traffic flow information table; The traffic flow evaluation sub-coefficient of the target road section is calculated by formula 1; Formula 1; in, is the traffic flow evaluation sub-coefficient corresponding to the traffic flow information corresponding to the i+1th collection node of the mth target road section, is the total number of vehicles corresponding to the i+1th collection node on the mth target road, It is the average speed of all vehicles corresponding to the i+1th collection node on the mth target road.

4. A highway intelligent traffic behavior analysis and emergency response method according to claim 3, characterized in that: Setting collection parameters, collecting traffic flow information of different target roads according to the collection parameters, and calculating the traffic flow evaluation coefficient of each section of the target road based on the collected traffic flow information of the target roads, further comprising: The traffic flow evaluation coefficient of the target road section is calculated by formula 2 based on the traffic flow evaluation sub-coefficient of the target road section; Formula 2: in, is the traffic flow evaluation coefficient of the mth target road, is the traffic flow evaluation sub-coefficient corresponding to the traffic flow information of the i+1th collection node of the mth target road, is the weight coefficient corresponding to the i+1th collection node, n is the total number of collection nodes, i is the ordinal number of the collection node, and i∈[1,n]; Return to select a section of target road and the traffic flow information of the section of target road from the traffic flow information table until all target roads are selected, and obtain the traffic flow evaluation coefficient of each section of target road.

5. A highway intelligent traffic behavior analysis and emergency response method according to claim 4, characterized in that: The traffic flow evaluation model is trained using the traffic flow evaluation coefficient and traffic flow information of the target road to obtain the trained traffic flow evaluation model, including: Obtain multiple target roads and the traffic flow evaluation coefficient of each target road; Set the road evaluation and the range of traffic flow evaluation coefficients corresponding to each road evaluation; Create a traffic flow evaluation model; Multiple target roads, the traffic flow evaluation coefficient of each target road, the road evaluation and the traffic flow evaluation coefficient range corresponding to each road evaluation are input as training sets into the traffic flow evaluation model to train the traffic flow evaluation model and obtain the trained traffic flow evaluation model.

6. A highway intelligent traffic behavior analysis and emergency response method according to claim 5, characterized in that: Inputting multiple target roads, the traffic flow evaluation coefficient of each target road, the road evaluation and the traffic flow evaluation coefficient range corresponding to each road evaluation as a training set into the traffic flow evaluation model to train the traffic flow evaluation model, and obtaining the trained traffic flow evaluation model includes: Select a section of target road and the traffic flow evaluation coefficient of the section of target road; Determine the traffic flow evaluation coefficient range of the target road section; Determine and output the road evaluation of the target road section according to the range of the traffic flow evaluation coefficient of the target road section; Return a selected section of target road and the traffic flow evaluation coefficient of the section of target road until the road evaluation of each section of target road is obtained.

7. A highway intelligent traffic behavior analysis and emergency response method according to claim 6, characterized in that: Collecting real-time traffic flow information of the regulated road and inputting the real-time traffic flow information into the trained traffic flow evaluation model to obtain the real-time road evaluation of the regulated road, including: Obtain a section of regulated road and real-time traffic information of the section of regulated road; record the section of regulated road as a main road; Input the real-time traffic flow information of the main road into the traffic flow evaluation model to obtain the real-time road evaluation of the main road; Set the adjustment threshold; Determine whether the real-time road evaluation of the main road is greater than or equal to the adjustment threshold; If the real-time road evaluation of the main road is less than the adjustment threshold, the operation status of the main road is maintained.

8. The method for analyzing and responding to highway intelligent traffic behavior according to claim 7 is characterized in that: Input the real-time traffic flow information of the main road into the traffic flow evaluation model to obtain the real-time road evaluation of the main road, including: The real-time traffic flow evaluation coefficient of the main road is calculated by formula 3; Formula 3: in, is the real-time traffic flow evaluation coefficient of the main road, is the real-time total number of vehicles on the main road, is the real-time average speed of all vehicles on the main road.

9. A highway intelligent traffic behavior analysis and emergency response system, characterized in that: include: A collection component, which is disposed on a target road and collects traffic information of the target road; A processing component, wherein the collection component is communicatively connected with the processing component, and the highway intelligent traffic behavior analysis and emergency response method as described in any one of claims 1 to 8 is executed through the processing component.

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