Traffic flow guidance method, device, equipment and storage medium for high-speed sections

Abstract

The present application relates to a method, apparatus, device, and storage medium for traffic flow guidance in high-speed sections, wherein the method comprises: obtaining travel time information from a preset historical travel database, sorting the travel time information corresponding to the same vehicle model information in descending order, and setting the travel time information ranked first as the maximum travel time; obtaining actual entrance flow information and travel volume information corresponding to the same vehicle model information; calculating estimated flow information corresponding to the vehicle model information based on the maximum travel time; obtaining vehicle model ratio information from the historical travel database; calculating estimated travel volume information based on the vehicle model ratio information and the estimated flow information; and performing a diversion operation if the estimated travel volume information is greater than a preset standard travel volume range. The technical effect of the present application is that it enables the system to promptly perform diversion operations on road sections that are about to become congested.

Description

Technical Field

[0001] The present application relates to the technical field of traffic flow guidance, and in particular to a traffic flow guidance method, apparatus, device and storage medium for high-speed sections. Background Art

[0002] With the development of economic integration, the demand for long-distance travel such as transit and cross-regional travel between regions has increased, and the overall traffic congestion has shown a slow growth trend. Expressways, national and provincial roads and urban expressways are currently the areas where traffic congestion is more concentrated. Balancing the traffic flow on expressways, national and provincial trunk roads and urban expressways will help improve the efficiency and stability of road network operation, provide travelers with more scientific travel guidance, comprehensive services and enhance the travel experience.

[0003] Existing traffic flow guidance methods detect road congestion in real time and perform diversion operations on designated road sections to alleviate road congestion.

[0004] During the use of the above-mentioned traffic flow guidance method, the applicant believes that there are at least the following problems: by obtaining the congestion situation of the detected road and sending relevant information so that the system can perform corresponding adjustment operations, the system has a certain lag in performing the adjustment operations after obtaining the relevant congestion information, which makes it impossible for the system to guide the congested roads in a timely manner. Summary of the Invention

[0005] In order to improve the problem that the existing traffic flow guidance method has a lag that causes the system to be unable to guide congested sections in a timely manner, the present application provides a traffic flow guidance method and system for high-speed sections.

[0006] In a first aspect, the present application provides a traffic flow guidance method for a high-speed section, which adopts the following technical solution: the method comprises: obtaining travel time information from a preset historical travel database, wherein the historical travel database stores different vehicle model information and travel time information corresponding to the vehicle model information;

[0007] Arrange the travel time information corresponding to the same vehicle type information in descending order and set the travel time information ranked first as the maximum travel time;

[0008] Obtain actual entrance traffic information and travel volume information corresponding to the same vehicle model information;

[0009] Calculate estimated traffic information corresponding to vehicle type information based on maximum travel time;

[0010] Obtain vehicle type ratio information in the historical travel database;

[0011] Calculate estimated travel volume information based on vehicle type ratio information and estimated traffic flow information;

[0012] If the estimated travel volume information is greater than the preset standard travel volume range, a diversion operation will be performed.

[0013] Through the above technical solution, the system can obtain the corresponding maximum travel time based on the travel time information in the historical travel database, and obtain the actual entrance traffic information and travel volume information in real time, and calculate the estimated travel volume information based on the vehicle type ratio information in the historical travel database. Based on the estimated travel volume information, the system can predict the actual estimated travel volume information in advance based on the data information in the historical travel database, so that the system can promptly perform diversion operations on road sections that are about to become congested.

[0014] In a specific embodiment, the splitting operation includes:

[0015] Obtain congestion time information based on preset map software;

[0016] Obtaining diversion time information from a preset historical travel database, wherein the historical travel database stores different diversion road section information and diversion time information corresponding to the diversion road section information;

[0017] If the congestion time information is less than the diversion time information, the diversion operation is canceled;

[0018] If the congestion time information is not less than the diversion time information, the diversion operation is performed.

[0019] Through the above technical solution, the congestion time information corresponding to the congested road section is obtained through the preset map software, and the total diversion time information of the preset historical travel database is obtained. If the congestion time information is less than the diversion time information, the diversion operation is canceled; otherwise, the diversion operation is performed, so that the system can automatically calculate the time required for the vehicle to perform the diversion operation and the congestion time information on the congested road section. By comparing the congestion time information with the diversion time information, the system can quickly and conveniently perform diversion operations on different vehicles, thereby improving the diversion efficiency of the system.

[0020] In a specific embodiment, after the splitting operation, the method further comprises:

[0021] Obtain diversion section information;

[0022] Obtaining diversion critical information corresponding to the diversion section information from a preset diversion section library, wherein the diversion section library stores different diversion section information and diversion critical information corresponding to the diversion section information, wherein the diversion critical information is the diversion critical flow corresponding to the diversion section information;

[0023] Obtaining a preset diversion section length corresponding to the diversion section information;

[0024] Obtain the average diversion speed corresponding to the diversion section information in real time;

[0025] Calculating a ratio between the length of the diversion section and the average diversion speed and setting the ratio as the average diversion time;

[0026] Calculating a product value between the diversion average time and the diversion critical information and setting the product value as the diversion critical capacity;

[0027] Compare the diversion critical capacity with the preset standard diversion capacity;

[0028] If the diversion critical capacity is outside the preset standard diversion capacity, the diversion operation is canceled and saturation information related to the diversion section information is sent.

[0029] Through the above technical solution, during the diversion operation, the system can obtain the diversion section information, obtain the diversion critical information corresponding to the diversion road information in the preset diversion section library, obtain the diversion section length and diversion average speed corresponding to the diversion section information, and calculate the diversion critical capacity, so that the system can directly and conveniently know the accommodating capacity of the diversion section based on the diversion critical capacity, reducing the possibility of the diversion section being congested due to too many diverted vehicles, thereby improving the stability of the diversion operation.

[0030] In a specific embodiment, the method further comprises:

[0031] constructing road simulation information corresponding to the estimated travel volume information;

[0032] The road simulation information includes road network information composed of different roads, and the road network information includes node attribute information and road attribute information, wherein the node attribute information is the intersection of different roads, and the road attribute information is the road without node attribute;

[0033] Calculating traffic flow prediction information based on the maximum travel time and the estimated travel volume information, wherein the traffic flow prediction information is the product of the preset weight information and the maximum travel time and the estimated travel volume;

[0034] Determine whether the current diversion road has node attribute information;

[0035] If so, the diversion operation information corresponding to the traffic prediction information is sent to a preset diversion operation library, in which different traffic prediction information and the diversion operation information corresponding to the traffic prediction information are stored.

[0036] Through the above technical solution, by constructing road simulation information corresponding to the estimated travel volume information, obtaining the node attribute information and road attribute information of the corresponding diversion road based on the road simulation information, calculating the flow prediction information based on the maximum travel time and the estimated travel volume information, and judging whether the current diversion road has node attribute information; if so, sending the diversion operation information corresponding to the flow prediction information in the preset diversion operation library, so that the system can automatically perform diversion operations on the roads containing node attribute information according to the calculated flow prediction information, reducing the possibility of performing diversion operations after the road is congested, so that the system can perform diversion operations on the roads in a timely manner.

[0037] In a specific embodiment, the method further comprises:

[0038] Obtaining driving image information corresponding to the vehicle;

[0039] Obtaining the vehicle's contour information from the driving image information;

[0040] Calculating a distance value between contour information in the driving image information and setting the distance value as driving distance information;

[0041] If the driving distance information is less than the preset critical distance value, abnormal information related to the vehicle is sent.

[0042] Through the above technical solution, the driving image information corresponding to the vehicle is obtained, the shape contour information corresponding to the vehicle is obtained based on the driving image information, the distance value between the shape contour information in the driving image information is calculated and the distance value is set as the driving distance value; when the driving distance information is less than the preset critical distance value, abnormal information related to the vehicle is sent, so that the system can send relevant abnormal information for special situations where two vehicles collide, thereby improving the accuracy of the abnormal information.

[0043] In a specific implementation scheme, the sending of abnormal information related to the vehicle includes:

[0044] Obtain detection image information within a preset time;

[0045] Check whether there is human outline information in the detected image information;

[0046] If it does not exist, cancel sending the abnormal information related to the vehicle;

[0047] If so, send vehicle-related exception information.

[0048] Through the above technical solution, when the driving distance value is less than the preset critical distance value, the detection image information within the preset time is obtained. When the detection image information contains human outline information, the abnormal information related to the vehicle is sent; otherwise, the sending of the abnormal information related to the vehicle is canceled. This allows the system to reduce the possibility that the two parties only have a slight scratch and do not stop to deal with it based on the method of detecting human outline information, thereby improving the accuracy of the abnormal information.

[0049] In a specific implementation scheme, the sending of abnormal information related to the vehicle includes:

[0050] When the driving distance information is greater than a preset critical distance value, obtaining the corresponding outer contour information of the vehicle;

[0051] Get the license plate information corresponding to the vehicle;

[0052] Obtaining standard profile information corresponding to the license plate information from a preset standard vehicle model library according to the license plate information, wherein the standard vehicle model library stores different license plate information and standard profile information corresponding to the license plate information;

[0053] Determine whether the outer contour information is the same as the standard contour information;

[0054] If the outer contour information is different from the standard contour information, abnormal information related to the vehicle is sent.

[0055] Through the above technical solution, when the driving distance information is greater than a preset critical distance value, the vehicle's corresponding outer contour information is obtained, the vehicle's corresponding license plate information is obtained, and the outer contour information corresponding to the license plate information is obtained from a preset standard vehicle model library based on the license plate information. It is determined whether the outer contour information is the same as the standard contour information. If they are not the same, abnormal information related to the vehicle is sent; the system can determine whether the vehicle has encountered abnormal situations such as a traffic accident based on the comparison of the vehicle's outer contour information and the standard contour information, so that the system can send relevant abnormal information for unexpected situations such as collisions between the vehicle itself and other objects on the road, thereby improving the accuracy of abnormal information.

[0056] In a second aspect, the present application provides a traffic flow guiding device for high-speed sections, which adopts the following technical solution: the device comprises:

[0057] A travel time acquisition module is used to obtain travel time information from a preset historical travel database, wherein the historical travel database stores different vehicle type information and travel time information corresponding to the vehicle type information;

[0058] The travel time arrangement module is used to arrange the travel time information corresponding to the same vehicle type information in descending order and set the travel time information at the top as the maximum travel time;

[0059] Traffic information acquisition module, used to obtain actual entrance traffic information and travel volume information corresponding to the same vehicle model information;

[0060] An estimated traffic flow calculation module is used to calculate the estimated traffic flow information corresponding to the vehicle type information according to the maximum travel time;

[0061] The vehicle type ratio acquisition module is used to obtain vehicle type ratio information in the historical travel database;

[0062] An estimated travel calculation module is used to calculate estimated travel volume information based on vehicle type ratio information and estimated traffic flow information;

[0063] The vehicle diversion operation module is used to perform a diversion operation if the estimated travel volume information is greater than a preset standard travel volume range.

[0064] In a third aspect, the present application provides a computer device that adopts the following technical solution: it includes a memory and a processor, and the memory stores a computer program that can be loaded and executed by the processor, such as any of the above-mentioned traffic flow guidance methods for high-speed sections.

[0065] In a fourth aspect, the present application provides a computer-readable storage medium, which adopts the following technical solution: storing a computer program that can be loaded by a processor and execute any of the above-mentioned traffic flow guidance methods for high-speed sections.

[0066] In summary, this application includes at least one of the following beneficial technical effects:

[0067] 1. The system can obtain the corresponding maximum travel time based on the travel time information in the historical travel database, and obtain the actual entrance traffic flow and travel volume information in real time. It can also calculate the estimated travel volume information based on the vehicle type ratio information in the historical travel database. This estimated travel volume information allows the system to predict the actual estimated travel volume information in advance based on the data in the historical travel database, so that the system can promptly divert traffic to sections of roads that are about to be congested.

[0068] 2. By constructing road simulation information corresponding to the estimated travel volume information, obtaining the node attribute information and road attribute information of the corresponding diversion road based on the road simulation information, calculating the traffic prediction information based on the maximum travel time and the estimated travel volume information, and judging whether the current diversion road has node attribute information; if so, sending the diversion operation information corresponding to the traffic prediction information in the preset diversion operation library, so that the system can automatically perform diversion operations on the roads containing node attribute information according to the calculated traffic prediction information, reducing the possibility of performing diversion operations after the road is congested, so that the system can perform diversion operations on the roads in a timely manner. BRIEF DESCRIPTION OF THE DRAWINGS

[0069] Figure 1 This is a flow chart of a traffic flow guidance method for high-speed sections in an embodiment of the present application.

[0070] Figure 2 It is a structural block diagram of a traffic flow guiding device for high-speed sections in an embodiment of the present application.

[0071] Figure numerals: 201, travel time acquisition module; 202, travel time arrangement module; 203, traffic information acquisition module; 204, estimated traffic calculation module; 205, vehicle type ratio acquisition module; 206, estimated travel calculation module; 207, diversion vehicle operation module; 208, road simulation construction module; 209, vehicle anomaly detection module. DETAILED DESCRIPTION

[0072] The following is combined with Figure 1-2 This application is described in further detail.

[0073] An embodiment of the present application discloses a traffic flow guidance method for a highway section. The method is based on a highway section command system, obtains vehicle-related traffic flow information through cameras and other shooting equipment preset in the highway section, and uses road network nodes such as interchange hubs and toll stations to divert vehicles based on the traffic flow information. A dynamic traffic simulation model of the highway section is established to evaluate the control of the diversion operation.

[0074] like Figure 1 As shown, the method includes the following steps:

[0075] S10, obtaining travel time information.

[0076] The travel time information is obtained from a preset historical travel database, which stores information on different vehicle types and travel time information corresponding to the vehicle type information.

[0077] S11, obtaining the maximum travel time.

[0078] The travel time information corresponding to the same vehicle type information is sorted in descending order and the travel time information ranked first is set as the maximum travel time.

[0079] S12, obtaining actual entrance traffic information and travel volume information.

[0080] Among them, the vehicle model information is first obtained, and the actual entrance traffic information and travel volume information corresponding to the same vehicle model are obtained based on the cameras preset at toll stations and other roads. The actual entrance traffic information is the number of vehicles passing within the preset time, and the travel volume information is the total number of vehicles included in the road section.

[0081] S13, calculating estimated flow information.

[0082] Among them, the maximum travel time and travel volume split ratio are obtained from the preset historical travel database, and the estimated traffic information is calculated based on the maximum travel time. For example, if the maximum travel time is 1 hour, the corresponding

[0083] S14, obtaining vehicle model ratio information.

[0084] Among them, vehicle model ratio information is obtained from a preset historical travel database, which stores different vehicle model information. The number of each vehicle model is counted and the ratio between the number of corresponding vehicles and the total number of vehicles is calculated and the ratio is set as the vehicle model ratio information.

[0085] S15, calculating estimated travel volume information.

[0086] Among them, the estimated travel volume information is calculated based on the vehicle model ratio information and the estimated traffic information.

[0087] S16, determining whether the estimated travel volume information is greater than a preset standard travel volume range.

[0088] If the estimated travel volume information is greater than the preset standard travel volume range, the control system performs a diversion operation; otherwise, the estimated flow information is calculated in real time.

[0089] In one embodiment, considering that a vehicle needs to be controlled to perform a detour when performing a diversion operation, the diverting vehicle needs additional diversion time information when performing the diversion operation. The diversion time information needs to be compared with the congestion time information. The specific comparison operation can be performed as follows:

[0090] According to the preset map software, congestion time information is obtained, and diversion time information is obtained from the preset historical travel database. The historical travel database stores different diversion road section information and diversion time information corresponding to the diversion road section information. If the congestion time information is less than the diversion leave information, the diversion operation is canceled; otherwise, the diversion operation is performed. This allows the system to output different diversion operations based on the comparison results between the congestion time information and the diversion time information, thereby improving the diversion effect of the diversion operation. For example, the congestion time information obtained from the map software is X, and there are three preset diversion road sections, corresponding to diversion time information M, N, and L, where M≤N≤L. When the congestion time information X≤M, the diversion operation is not performed. When the congestion time information X≥L, the diversion operation is performed, and the diversion road section corresponding to the diversion time information M is preferentially selected.

[0091] In one embodiment, considering that the diversion section may also be congested, it is necessary to calculate the diversion critical capacity of the diversion section. The specific calculation steps can be performed as follows:

[0092] Obtain diversion section information, obtain diversion critical information corresponding to the diversion section information in a preset diversion section library, the diversion section library stores different diversion section information and diversion critical information corresponding to the diversion section information, and the diversion critical information is the diversion critical traffic volume corresponding to the diversion section information; obtain the preset diversion section length corresponding to the diversion section information; obtain the diversion average speed corresponding to the diversion section information in real time, calculate the ratio between the diversion section length and the diversion average speed and set the ratio as the diversion average time, calculate the product between the diversion average time and the diversion critical information and set the product as the diversion critical capacity, and compare the diversion critical capacity with the preset standard diversion capacity; if the diversion critical capacity is outside the preset standard diversion capacity, cancel the diversion operation and send saturation information related to the diversion section information; otherwise, continue the diversion operation; so that the system can calculate the diversion critical capacity corresponding to the diversion section information in real time, reduce the possibility of congestion in the diversion section information, and thus improve the diversion efficiency of the diversion operation. For example, the length of the diversion section is A, the average diversion speed is B, the average diversion time is A / B, and the diversion critical information is Q. Then the diversion critical capacity is QA / B if the standard diversion capacity is O; if the diversion critical capacity QA / B is outside the standard diversion capacity O, the diversion operation is canceled and saturation information related to the diversion section information is sent.

[0093] In one embodiment, considering the need to evaluate the diversion operation, a corresponding evaluation model needs to be established. The specific establishment steps can be performed as follows:

[0094] Construct road simulation information corresponding to the estimated travel volume information, the road simulation information includes road network information composed of different roads, the road network information includes node attribute information and road attribute information, wherein the node attribute information is the intersection of different roads, and the road attribute information is the road without node attributes, calculate the flow prediction information according to the maximum travel time and the estimated travel volume information, the flow prediction information is the product of the preset weight information and the maximum travel time and the estimated travel volume, and judge whether there is node attribute information on the current diversion road; if so, send the diversion operation information corresponding to the flow prediction information to the preset diversion operation library, the diversion operation library stores different flow prediction information and the diversion operation information corresponding to the flow prediction information; so that the system can evaluate the diversion information after calculating the weights of different information according to the flow prediction information, thereby improving the diversion efficiency of the diversion operation.

[0095] In one embodiment, considering that during the driving process of a vehicle, accidents such as traffic accidents may occur and cause road congestion, it is necessary to monitor whether the vehicle has any abnormal conditions. The specific monitoring operation can be performed as follows:

[0096] Acquire driving image information corresponding to the vehicle, obtain the vehicle's corresponding outline information in the driving image information, calculate the distance value between the outline information in the driving image information and set the distance value as the driving distance information; if the driving distance information is less than a preset critical distance value, send abnormal information related to the vehicle; so that the system can automatically determine whether a collision occurs between the two vehicles, causing road congestion, based on the driving distance information between the vehicles, thereby improving the accuracy of the abnormal information.

[0097] In one embodiment, considering that when two vehicles collide, both parties may not care about the collision, further monitoring of the driving image information is required. The specific monitoring operation may be performed as follows:

[0098] The detection image information within the preset time is obtained, and the monitoring image information is checked to see whether there is human outline information. If not, the sending of abnormal information related to the vehicle is cancelled; otherwise, abnormal information related to the vehicle is sent, such as the prompt message "Human outline information is detected, and the vehicle is abnormal". This allows the system to automatically eliminate the situation where both parties do not cause congestion after a scratch, thereby improving.

[0099] In one embodiment, considering the possibility that a vehicle may lose control during driving and thus cause traffic congestion, it is necessary to monitor the vehicle's outline. The specific monitoring operation may be performed as follows:

[0100] When the driving distance information is greater than a preset critical distance value, the corresponding outer contour information of the vehicle is obtained; the corresponding license plate information of the vehicle is obtained; based on the license plate information, the standard contour information corresponding to the license plate information is obtained from a preset standard vehicle model library, where different license plate information and standard contour information corresponding to the license plate information are stored, and it is determined whether the outer contour information is the same as the standard contour information. If the outer contour information is different from the standard contour information, abnormal information related to the vehicle is sent; the system can quickly and conveniently detect whether the vehicle's appearance has changed by comparing the outer contour information of the passing vehicle with the standard contour information, thereby reducing the possibility of the vehicle accidentally colliding with an obstacle and causing road congestion, thereby improving the accuracy of abnormal information.

[0101] The implementation principle of the embodiment of this application is:

[0102] Obtain travel time information, obtain the maximum travel time based on the travel time information, and obtain real-time actual entrance traffic information and travel volume information. Calculate the estimated traffic information corresponding to the vehicle model information based on the maximum travel time, and then obtain the vehicle model ratio information in the historical travel database. Calculate the estimated travel volume information based on the vehicle model ratio information and the estimated traffic information, so that the system can perform diversion operations on congested sections in advance based on the estimated travel volume information.

[0103] Based on the above method, an embodiment of the present application also discloses a traffic flow guiding device for high-speed sections.

[0104] like Figure 2 As shown, the device includes the following modules:

[0105] The travel time acquisition module 201 is used to obtain travel time information from a preset historical travel database, wherein the historical travel database stores information of different vehicle types and travel time information corresponding to the vehicle type information;

[0106] The travel time arrangement module 202 is used to arrange the travel time information corresponding to the same vehicle type information in descending order and set the travel time information at the top as the maximum travel time;

[0107] Traffic information acquisition module 203, used to obtain actual entrance traffic information and travel volume information corresponding to the same vehicle type information;

[0108] An estimated traffic flow calculation module 204 is configured to calculate estimated traffic flow information corresponding to the vehicle type information based on the maximum travel time;

[0109] The vehicle type ratio acquisition module 205 is used to obtain vehicle type ratio information in the historical travel database;

[0110] Estimated travel calculation module 206, for calculating estimated travel volume information based on vehicle type ratio information and estimated traffic flow information;

[0111] The vehicle diversion operation module 207 is configured to perform a diversion operation if the estimated travel volume information is greater than a preset standard travel volume range.

[0112] In one embodiment, the diversion vehicle operation module 207 is also used to perform diversion operations including: obtaining congestion time information according to a preset map software; obtaining diversion time information from a preset historical travel database, wherein the historical travel database stores different diversion road section information and diversion time information corresponding to the diversion road section information; if the congestion time information is less than the diversion time information, canceling the diversion operation; if the congestion time information is not less than the diversion time information, performing the diversion operation.

[0113] In one embodiment, the diversion vehicle operation module 207 is also used to, after the diversion operation is performed, further include: obtaining diversion section information; obtaining diversion critical information corresponding to the diversion section information in a preset diversion section library, wherein the diversion section library stores different diversion section information and diversion critical information corresponding to the diversion section information, and the diversion critical information is the diversion critical traffic volume corresponding to the diversion section information; obtaining a preset diversion section length corresponding to the diversion section information; obtaining the diversion average speed corresponding to the diversion section information in real time; calculating the ratio between the diversion section length and the diversion average speed and setting the ratio as the diversion average time; calculating the product between the diversion average time and the diversion critical information and setting the product as the diversion critical capacity; comparing the diversion critical capacity with the preset standard diversion capacity; if the diversion critical capacity is outside the preset standard diversion capacity, canceling the diversion operation and sending saturation information related to the diversion section information.

[0114] In one embodiment, the road simulation construction module 208 is also used to construct road simulation information corresponding to the estimated travel volume information; the road simulation information includes road network information composed of different roads, and the road network information includes node attribute information and road attribute information, wherein the node attribute information is the intersection of different roads, and the road attribute information is the road without node attributes; traffic prediction information is calculated based on the maximum travel time and the estimated travel volume information, and the traffic prediction information is the product of preset weight information and the maximum travel time and the estimated travel volume; it is determined whether the current diversion road has node attribute information; if so, the diversion operation information corresponding to the traffic prediction information is sent to the preset diversion operation library, and the diversion operation library stores different traffic prediction information and diversion operation information corresponding to the traffic prediction information.

[0115] In one embodiment, the vehicle abnormality detection module 209 is further used to obtain driving image information corresponding to the vehicle; obtain the outer contour information corresponding to the vehicle in the driving image information; calculate the distance value between the outer contour information in the driving image information and set the distance value as the driving distance information; if the driving distance information is less than a preset critical distance value, send abnormality information related to the vehicle.

[0116] In one embodiment, the vehicle abnormality detection module 209 is also used to send abnormal information related to the vehicle, including: obtaining detection image information within a preset time; querying whether there is human outline information in the detection image information; if not, canceling the sending of abnormal information related to the vehicle; if so, sending abnormal information related to the vehicle.

[0117] In one embodiment, the vehicle anomaly detection module 209 is also used to send abnormal information related to the vehicle, including: when the driving distance information is greater than a preset critical distance value, obtaining the corresponding outer contour information of the vehicle; obtaining the corresponding license plate information of the vehicle; obtaining the standard contour information corresponding to the license plate information from a preset standard vehicle model library based on the license plate information, wherein the standard vehicle model library stores different license plate information and standard contour information corresponding to the license plate information; determining whether the outer contour information is the same as the standard contour information; if the outer contour information is different from the standard contour information, sending abnormal information related to the vehicle.

[0118] The embodiment of the present application also discloses a computer device.

[0119] Specifically, the computer device includes a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and execute the above-mentioned traffic flow guidance method for high-speed sections.

[0120] The embodiment of the present application also discloses a computer-readable storage medium.

[0121] Specifically, the computer-readable storage medium stores a computer program that can be loaded by a processor and executed such as the above-mentioned traffic flow guidance method for high-speed sections. The computer-readable storage medium includes, for example: a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and other media that can store program codes.

[0122] This specific embodiment is merely an explanation of the present invention and is not intended to limit the present invention. After reading this specification, those skilled in the art may make non-creative modifications to this embodiment as needed. However, as long as such modifications are within the scope of the claims of the present invention, they are protected by patent law.

Claims

1. A traffic flow guidance method for high-speed sections, characterized in that: The method comprises: Acquiring travel time information from a preset historical travel database, wherein the historical travel database stores information of different vehicle types and travel time information corresponding to the vehicle type information; Arrange the travel time information corresponding to the same vehicle type information in descending order and set the travel time information ranked first as the maximum travel time; Obtain actual entrance traffic information and travel volume information corresponding to the same vehicle model information; Calculate estimated traffic information corresponding to vehicle type information based on maximum travel time; Obtain vehicle type ratio information in the historical travel database; Calculate estimated travel volume information based on vehicle type ratio information and estimated traffic flow information; If the estimated travel volume information is greater than the preset standard travel volume range, a diversion operation is performed; After the diversion operation is performed, the method further includes: Obtain diversion section information; Obtaining diversion critical information corresponding to the diversion section information from a preset diversion section library, wherein the diversion section library stores different diversion section information and diversion critical information corresponding to the diversion section information, wherein the diversion critical information is the diversion critical flow corresponding to the diversion section information; Obtaining a preset diversion section length corresponding to the diversion section information; Obtain the average diversion speed corresponding to the diversion section information in real time; Calculating a ratio between the length of the diversion section and the average diversion speed and setting the ratio as the average diversion time; Calculating a product value between the diversion average time and the diversion critical information and setting the product value as the diversion critical capacity; Compare the diversion critical capacity with the preset standard diversion capacity; If the diversion critical capacity is outside the preset standard diversion capacity, the diversion operation is canceled and saturation information related to the diversion section information is sent; The method further comprises: constructing road simulation information corresponding to the estimated travel volume information; The road simulation information includes road network information composed of different roads, and the road network information includes node attribute information and road attribute information, wherein the node attribute information is the intersection of different roads, and the road attribute information is the road without node attribute; Calculating traffic flow prediction information based on the maximum travel time and the estimated travel volume information, wherein the traffic flow prediction information is the product of the preset weight information and the maximum travel time and the estimated travel volume; Determine whether the current diversion road has node attribute information; If so, the diversion operation information corresponding to the traffic prediction information is sent to a preset diversion operation library, in which different traffic prediction information and the diversion operation information corresponding to the traffic prediction information are stored.

2. The method according to claim 1, characterized in that The diversion operation comprises: Obtain congestion time information based on preset map software; Obtaining diversion time information from a preset historical travel database, wherein the historical travel database stores different diversion road section information and diversion time information corresponding to the diversion road section information; If the congestion time information is less than the diversion time information, the diversion operation is canceled; If the congestion time information is not less than the diversion time information, the diversion operation is performed.

3. The method according to claim 1, characterized in that The method further comprises: Obtaining driving image information corresponding to the vehicle; Obtaining the vehicle's contour information from the driving image information; Calculating a distance value between contour information in the driving image information and setting the distance value as driving distance information; If the driving distance information is less than the preset critical distance value, abnormal information related to the vehicle is sent.

4. The method according to claim 3, characterized in that The sending of abnormal information related to the vehicle includes: Obtain detection image information within a preset time; Check whether there is human outline information in the detected image information; If it does not exist, cancel sending the abnormal information related to the vehicle; If so, send vehicle-related exception information.

5. The method according to claim 4, characterized in that The sending of abnormal information related to the vehicle includes: When the driving distance information is greater than a preset critical distance value, obtaining the corresponding outer contour information of the vehicle; Get the license plate information corresponding to the vehicle; Obtaining standard profile information corresponding to the license plate information from a preset standard vehicle model library according to the license plate information, wherein the standard vehicle model library stores different license plate information and standard profile information corresponding to the license plate information; Determine whether the outer contour information is the same as the standard contour information; If the outer contour information is different from the standard contour information, abnormal information related to the vehicle is sent.

6. A traffic flow guiding device for high-speed sections, characterized in that: The device comprises: A travel time acquisition module (201) is used to acquire travel time information from a preset historical travel database, wherein the historical travel database stores information on different vehicle types and travel time information corresponding to the vehicle type information; A travel time arrangement module (202) is used to arrange the travel time information corresponding to the same vehicle type information in descending order and set the travel time information at the top as the maximum travel time; A traffic information acquisition module (203) is used to obtain actual entrance traffic information and travel volume information corresponding to the same vehicle type information; An estimated flow calculation module (204) is used to calculate estimated flow information corresponding to the vehicle type information according to the maximum travel time; A vehicle type ratio acquisition module (205) is used to obtain vehicle type ratio information in a historical travel database; An estimated travel calculation module (206) is used to calculate estimated travel volume information based on vehicle type ratio information and estimated flow information; A vehicle diversion operation module (207) is used to perform a diversion operation if the estimated travel volume information is greater than a preset standard travel volume range; It is also used to, after the diversion operation is performed, further include: obtaining diversion section information; obtaining diversion critical information corresponding to the diversion section information in a preset diversion section library, wherein the diversion section library stores different diversion section information and diversion critical information corresponding to the diversion section information, and the diversion critical information is the diversion critical traffic volume corresponding to the diversion section information; obtaining a preset diversion section length corresponding to the diversion section information; obtaining the diversion average speed corresponding to the diversion section information in real time; calculating the ratio between the diversion section length and the diversion average speed and setting the ratio as the diversion average time; calculating the product between the diversion average time and the diversion critical information and setting the product as the diversion critical capacity; comparing the diversion critical capacity with a preset standard diversion capacity; if the diversion critical capacity is outside the preset standard diversion capacity, canceling the diversion operation and sending saturation information related to the diversion section information; The road simulation construction module (208) is further used to construct road simulation information corresponding to the estimated travel volume information; the road simulation information includes road network information composed of different roads, the road network information includes node attribute information and road attribute information, wherein the node attribute information is the intersection of different roads, and the road attribute information is the road without node attribute; calculate the flow prediction information based on the maximum travel time and the estimated travel volume information, the flow prediction information is the product of the preset weight information and the maximum travel time and the estimated travel volume; determine whether the current diversion road has node attribute information; if so, send the diversion operation information corresponding to the flow prediction information to the preset diversion operation library, and the diversion operation library stores different flow prediction information and the diversion operation information corresponding to the flow prediction information.

7. A computer device, characterized in that: The method comprises a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and execute the traffic flow guidance method for a high-speed section according to any one of claims 1 to 5.

8. A computer-readable storage medium, characterized in that The computer program is stored which can be loaded by a processor and executes the traffic flow guiding method for a high-speed section according to any one of claims 1 to 5.

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