Traffic abnormity early warning method and system based on urban static traffic comprehensive data

Abstract

The invention relates to the technical field of traffic monitoring, in particular to a traffic abnormity early warning method and system based on urban static traffic comprehensive data, and the method comprises the steps: judging the full load of static traffic, and marking a traffic road section to which a static traffic parking entrance and exit belong; determining an interval road section of the marked traffic road section, and collecting traffic flow data passing through a signal lamp intersection of the interval road section; based on the traffic flow data, carrying out interval road section overload amount judgment and carrying out abnormity early warning; according to the traffic abnormity early warning result, adjusting the traffic light passing duration of the section road section; the number of remaining parking spaces of static traffic is obtained in real time, and adjustment and mark removal are carried out; and performing secondary comparison according to the traffic flow data of the section road sections, and removing abnormal early warning. By acquiring the comprehensive data of static traffic, the congestion condition of the traffic road can be found in time for early warning, and the mark and early warning state of the traffic road section can be dynamically adjusted according to the traffic flow data.

Description

Technical Field

[0001] The present invention relates to the technical field of traffic monitoring, and in particular to a traffic anomaly warning method and system based on comprehensive urban static traffic data. Background Art

[0002] With the rapid increase in the number of motor vehicles, self-driving travel has become a popular way of travel during holidays. However, when traveling by car to unfamiliar cities or regions, the problem of parking difficulties has become increasingly prominent due to unfamiliar road traffic.

[0003] However, with the continuous increase in tourism popularity, the existing parking resources around the core scenic spots are far less than the parking demand. When a large number of vehicles cannot park in time, the following prominent problems are likely to occur: First, road traffic congestion is prone to occur. Long-term congestion in one direction at the intersection will further increase the number of vehicles in that direction, and then occupy the intersection, resulting in vehicles traveling in other directions being blocked and unable to pass, causing long-term traffic jams; second, during peak tourist periods, the road traffic pressure around the scenic area is high, the contradiction between parking supply and demand is prominent, people and vehicles are intertwined, and the disorder affects the travel experience of tourists; third, some vehicles stop at temporary parking sections on the side of urban roads. Although it is convenient for parking, it also causes road traffic to be unsmooth, affecting the normal travel and life of local citizens. Summary of the invention

[0004] In order to solve the above problems, the first aspect of the present invention provides a traffic anomaly warning method based on comprehensive urban static traffic data, comprising: S1. Obtain the number of remaining parking spaces for static traffic, and set a low number threshold for static traffic to determine the full load of static traffic. If the current number of remaining parking spaces is less than or equal to the low number threshold, mark the traffic section to which the parking entrance and exit of the static traffic belongs; S2, determining the interval section where the static traffic parking space is located in the marked traffic section, and collecting the traffic flow data of the traffic light intersection of the interval section, wherein the traffic flow data includes the number of vehicles entering the interval section, the number of vehicles going out straight, the number of vehicles turning left, and the number of vehicles turning right; S3, judging the overload of the section based on the traffic flow data, and issuing abnormal warning according to the overload judgment result; S4. Adjust the traffic light duration of the section according to the abnormal traffic warning results; S5. Obtain the number of remaining parking spaces for static traffic in real time and compare it with the low number threshold. If it is greater than the low number threshold, adjust the traffic section to which the static traffic parking entrance and exit belongs and remove the mark. Perform a secondary comparison based on the traffic flow data passing through each signal light intersection in the interval section. If the number of vehicles leaving the interval section is greater than or equal to the percentage threshold of the number of vehicles entering the interval section, remove the abnormal warning and restore the signal light cycle at the signal light intersection of the original traffic section.

[0005] In S2, the traffic flow data of the traffic light intersection in the section is collected, and the specific operation is as follows: S2.1, based on the marked traffic section, starting from the static traffic parking space entrance and exit, extending to both sides along the driving direction of the traffic section until the first traffic light intersection ends, and the traffic section between the traffic light intersections in each driving direction is the determined section; S2.2, the number of vehicles passing through a single traffic light cycle at each intersection is collected through the road monitoring system at each traffic light intersection; the traffic light cycle starts from the green light straight line and ends at the next green light straight line, and the number of vehicles entering the interval section and the number of vehicles leaving the interval section in one traffic light cycle are counted respectively; S2.3. Determine the traffic flow data of the section based on the number of vehicles passing through each signal light intersection in a single signal light cycle.

[0006] As some specific implementations of the first aspect, in S3, the overload of the section is determined based on the traffic flow data, and the specific method is as follows: S3.1. Obtain the number of vehicles at the signal light intersections at both ends of the interval section in the same driving direction according to the traffic flow data, that is, the number of vehicles A entering the interval section at the signal light intersection at one end and the number of vehicles B' leaving the interval section at the signal light intersection at the other end; S3.2, compare the number of vehicles A entering the interval section with the number of vehicles B' exiting the interval section, and issue a traffic anomaly warning based on the comparison result; preset a percentage coefficient of vehicle overload and determine the percentage threshold of the number of vehicles A; if the number of vehicles B' exiting the interval section is less than the percentage threshold of the number of vehicles A, the interval section is overloaded and an abnormality warning is issued; If the number of vehicles B' driving out is greater than or equal to the percentage threshold of the number of vehicles A, the traffic section is normal and no traffic abnormality warning is issued.

[0007] In S4, the traffic light duration of the section is adjusted according to the abnormal traffic warning result, specifically: S4.1. When an abnormal warning is present in a section, the number of vehicles exiting the section in the driving direction is obtained based on the traffic flow data in the driving direction of the abnormal warning, and the signal light duration of the corresponding direction is adjusted based on the exit vehicle data in the three directions; If the number of vehicles going straight out is the highest, the straight green light duration at the signal light intersection will be extended by a preset time value; If the number of vehicles turning left is the highest, the left-turn green light duration at the signal light intersection is extended by a preset time value; If the number of vehicles turning right is the highest, the straight green light duration of the traffic section perpendicular to the traffic section at the signalized intersection is shortened by a preset time value; S4.2. Based on the adjusted signal light duration, adjust the signal light priority of the section entering the section and the section exiting the section in the driving direction; S4.3. According to the determined adjusted signal light duration and signal light priority, the signal light intersections of the section are adjusted synchronously.

[0008] In a specific implementation, the S4 also includes if there are cross-connections between two or more traffic sections belonging to static traffic, and all of them issue abnormal warnings, then the traffic flow data of each interval section is compared to determine the interval section with the largest traffic flow data, and based on the adjustment time of the traffic light communication time of the interval section, the signal light cycle of the signal light intersection where the traffic sections overlap is controlled.

[0009] As some specific implementations of the first aspect, the static traffic includes static parking spaces in parking lots and temporary parking spaces on roads.

[0010] The number of vehicles entering the interval section is the number of vehicles passing through all intersections in a single traffic light cycle; the number of vehicles exiting the interval section includes the number of vehicles driving straight, turning left, and turning right in a single traffic light cycle.

[0011] The second aspect provides a traffic anomaly warning system based on comprehensive urban static traffic data, including: A full load detection module is used to obtain the number of remaining parking spaces for static traffic and set a low number threshold for static traffic to determine the full load of static traffic. If the current number of remaining parking spaces is less than or equal to the low number threshold, the traffic section to which the parking entrance and exit of the static traffic belongs is marked; A traffic collection module is used to determine the interval section where the static traffic parking space is located in the marked traffic section, and collect the traffic flow data of the traffic light intersection of the interval section, wherein the traffic flow data includes the number of vehicles entering the interval section, the number of vehicles going straight out, the number of vehicles turning left, and the number of vehicles turning right; The abnormal warning module is used to judge the overload volume of the section based on the traffic flow data, and to issue an abnormal warning according to the overload volume judgment result; A processing module, used to adjust the traffic light duration of the section according to the traffic anomaly warning result; The warning cancellation module is used to obtain the number of remaining parking spaces for static traffic in real time and compare it with the low number threshold. If it is greater than the low number threshold, the traffic section to which the static traffic parking entrance and exit belongs will be adjusted and the mark will be removed; a secondary comparison will be made based on the traffic flow data passing through each signal light intersection in the interval section. If the number of vehicles leaving the interval section is greater than or equal to the percentage threshold of the number of vehicles entering the interval section, the abnormal warning will be cancelled and the signal light cycle at the signal light intersection of the original traffic section will be restored.

[0012] The third aspect provides a traffic anomaly warning device based on comprehensive urban static traffic data, comprising a processor and a memory, wherein the processor implements the traffic anomaly warning method based on comprehensive urban static traffic data as described above when executing the program data stored in the memory.

[0013] A fourth aspect provides a readable storage medium for storing control program data, wherein the control program data, when executed by a processor, implements the traffic anomaly warning method based on comprehensive urban static traffic data as described above.

[0014] Beneficial effects: The present invention is a traffic anomaly warning method and system based on comprehensive data of urban static traffic. By acquiring comprehensive data of static traffic and automatically marking relevant traffic sections when the remaining parking spaces of static traffic are close to full load, and by collecting traffic flow data at traffic light intersections, it is possible to timely detect traffic road congestion and issue warnings. At the same time, combined with the number of vehicles entering and exiting each driving direction of the interval section and the intersection, it is possible to more accurately judge the overload situation of the traffic section, and intelligently adjust the signal light duration and priority of the interval section, thereby alleviating traffic congestion and ensuring smooth passage of vehicles to avoid traffic chaos caused by congestion. The number of remaining parking spaces for static traffic is updated in real time, and the marking and warning status of the traffic section are dynamically adjusted according to the traffic flow data. When the number of parking spaces is restored or traffic returns to normal, the warning is promptly lifted and the original signal light cycle is restored, ensuring the flexibility and efficiency of traffic management. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 It is a flow chart of the traffic anomaly warning method based on comprehensive urban static traffic data; Figure 2 It is a vehicle driving map of the traffic section. DETAILED DESCRIPTION

[0016] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings.

[0017] See also Figure 1-Figure 2 This embodiment provides a traffic anomaly warning method based on comprehensive urban static traffic data, which is applied to a traffic supervision cloud platform. The traffic supervision cloud platform is interconnected with each static parking management system network, and provides early warning prompts for urban road traffic by receiving comprehensive data such as positioning information, number of parking spaces, and parking information of the static parking management system in real time. The specific implementation steps of the traffic anomaly warning method are as follows: S1. Obtain the number of remaining parking spaces for static traffic, and set a low number threshold for static traffic to determine the full load of static traffic. If the current number of remaining parking spaces is less than or equal to the low number threshold, mark the traffic section to which the parking entrance and exit of the static traffic belongs; The static traffic includes static parking spaces in the parking lot and temporary parking spaces on the road. A low number threshold for the remaining parking spaces when the static parking spaces in the parking lot or the temporary parking spaces on the road are close to being full is set respectively. When the number is lower than the threshold, it means that the number of remaining parking spaces in the parking lot or the temporary parking spaces on the road is insufficient, and vehicles need to queue up when entering or leaving the parking area. Traffic congestion is prone to occur at the ramp, which in turn affects the vehicle driving speed on the normal traffic road of the parking entrance and exit.

[0018] The static parking management systems of static traffic obtain the remaining parking space data of static parking spaces in parking lots or temporary parking spaces on roads, and compare them with the low number threshold to determine whether the number of parking spaces for static traffic is close to full load. If the current remaining parking space data is less than or equal to the low number threshold, the traffic section to which the static traffic parking entrance and exit belongs is automatically marked, and traffic anomaly analysis and processing are carried out.

[0019] S2, determining the section where the static traffic parking space is located in the marked traffic section, and collecting the traffic flow data of the traffic light intersection of the section, wherein the traffic flow data includes the number of vehicles entering the section, the number of vehicles going straight out, the number of vehicles turning left, and the number of vehicles turning right. The specific operation is as follows: S2.1, based on the marked traffic section, starting from the static traffic parking space entrance and exit, extending to both sides along the driving direction of the traffic section until the first traffic light intersection ends, and the traffic section between the traffic light intersections in each driving direction is the determined section; S2.2, the number of vehicles passing through a single traffic light cycle at each intersection is collected through the road monitoring system of each traffic light intersection; the traffic light cycle starts from the green light straight line and ends at the next green light straight line, and the number of vehicles entering the interval section A, A', and the number of vehicles leaving the interval section B, B' are counted in a traffic light cycle; The number of vehicles A or A' entering the section at a single traffic light intersection is the number of vehicles passing through all intersections in a single traffic light cycle; The number of vehicles B or B' in the exit section of a single signal light intersection includes the number of vehicles B1 going straight out, the number of vehicles B2 turning left, and the number of vehicles B3 turning right in a single signal light cycle; S2.3. Determine the traffic flow data of the section based on the number of vehicles passing through each signal light intersection in a single signal light cycle.

[0020] S3. Determine the overload of the section based on the traffic flow data, and issue an abnormal warning according to the overload determination result. The specific method is as follows: S3.1. Obtain the number of vehicles at the signalized intersections at both ends of the interval section in the same driving direction according to the traffic flow data, that is, the number of vehicles A entering the interval section at the signalized intersection at one end and the number of vehicles B' exiting the interval section at the signalized intersection at the other end, or the number of vehicles B exiting the interval section at the signalized intersection at one end and the number of vehicles A' entering the interval section at the signalized intersection at the other end; The traffic section generally includes two-way driving lanes, so the vehicle quantity comparison is performed on the incoming vehicle flow data and the outgoing vehicle flow data in the same driving direction respectively to determine the overload in a single driving direction.

[0021] S3.2, comparing the number of vehicles A entering the interval section with the number of vehicles B' exiting the interval section, and issuing a traffic anomaly warning based on the comparison result; A percentage coefficient of vehicle overload is preset to determine a percentage threshold of the number of vehicles A; if the number of vehicles B' leaving the interval section is less than the percentage threshold of the number of vehicles A, the interval section is overloaded and an abnormal warning is issued, indicating that the traffic section in the driving direction is congested; If the number of vehicles B' driving out is greater than or equal to the percentage threshold of the number of vehicles A, the traffic section is normal, indicating that the traffic section in the driving direction is unobstructed and no traffic abnormality warning is issued.

[0022] S4. Adjust the traffic light duration of the section according to the abnormal traffic warning result. The adjustment method is as follows: S4.1. When an abnormal warning is present in a section, the number of vehicles exiting the section in the driving direction is obtained based on the traffic flow data in the driving direction of the abnormal warning, and the signal light duration of the corresponding direction is adjusted based on the exit vehicle data in the three directions; If the number of vehicles going straight out B1 is the highest value, the straight green light duration at the signal light intersection is extended by a preset time value; If the number of vehicles turning left B2 is the highest, the left-turn green light duration at the signal light intersection is extended by a preset time value; If the number of right-turning vehicles B3 is the highest value, the straight green light duration of the traffic section perpendicular to the traffic section at the signalized intersection is shortened by a preset time value.

[0023] S4.2. Based on the adjusted signal light duration, adjust the signal light priority of the section entering the section and the section exiting the section in the driving direction; Signal light intersections with adjusted signal light duration will be given first priority. Their green light will be lit first in the same direction as signal light intersections entering the interval section, so that the green light for exiting the interval section will be given priority over the green light for entering the interval section at the other end, ensuring that exiting vehicles leave the intersection in advance, and subsequent vehicles entering the traffic section can pass smoothly without stopping and waiting.

[0024] S4.3, according to the determined adjusted signal light duration and signal light priority, synchronously adjust the signal light intersections of the section; The adjusted signal light duration and signal light priority are synchronized to each signal light intersection in the section, and the duration of other signal lights at each signal light intersection is adjusted synchronously.

[0025] The S4 also includes if there are cross-connections between two or more traffic sections belonging to static traffic and all of them issue abnormal warnings, then the traffic flow data of each section is compared to determine the section with the largest traffic flow data, and based on the adjustment time of the traffic light communication time of the section, the signal light cycle of the signal light intersection where the traffic sections overlap is controlled.

[0026] S5. Obtain the number of remaining parking spaces for static traffic in real time and compare it with the low number threshold. If it is greater than the low number threshold, adjust the traffic section to which the static traffic parking entrance and exit belongs and remove the mark. Perform a secondary comparison based on the traffic flow data passing through each signal light intersection in the interval section. If the number of vehicles leaving the interval section is greater than or equal to the percentage threshold of the number of vehicles entering the interval section, remove the abnormal warning and restore the signal light cycle at the signal light intersection of the original traffic section.

[0027] Secondly, the present application also provides a traffic anomaly warning system based on comprehensive urban static traffic data, including: A full load detection module is used to obtain the number of remaining parking spaces for static traffic and set a low number threshold for static traffic to determine the full load of static traffic. If the current number of remaining parking spaces is less than or equal to the low number threshold, the traffic section to which the parking entrance and exit of the static traffic belongs is marked; A traffic collection module is used to determine the interval section where the static traffic parking space is located in the marked traffic section, and collect the traffic flow data of the traffic light intersection of the interval section, wherein the traffic flow data includes the number of vehicles entering the interval section, the number of vehicles going straight out, the number of vehicles turning left, and the number of vehicles turning right; The abnormal warning module is used to judge the overload volume of the section based on the traffic flow data, and to issue an abnormal warning according to the overload volume judgment result; A processing module, used to adjust the traffic light duration of the section according to the traffic anomaly warning result; The warning cancellation module is used to obtain the number of remaining parking spaces for static traffic in real time and compare it with the low number threshold. If it is greater than the low number threshold, the traffic section to which the static traffic parking entrance and exit belongs will be adjusted and the mark will be removed; a secondary comparison will be made based on the traffic flow data passing through each signal light intersection in the interval section. If the number of vehicles leaving the interval section is greater than or equal to the percentage threshold of the number of vehicles entering the interval section, the abnormal warning will be cancelled and the signal light cycle at the signal light intersection of the original traffic section will be restored.

[0028] In addition, a traffic anomaly warning device based on comprehensive urban static traffic data is also provided, comprising a processor and a memory, wherein the processor implements the traffic anomaly warning method based on comprehensive urban static traffic data as described above when executing the program data stored in the memory.

[0029] Finally, a readable storage medium is provided for storing control program data, wherein the control program data, when executed by a processor, implements the traffic anomaly warning method based on comprehensive urban static traffic data as described above.

Claims

1. A traffic anomaly warning method based on comprehensive urban static traffic data, characterized in that: include: S1. Obtain the number of remaining parking spaces for static traffic, and set a low number threshold for static traffic to determine the full load of static traffic. If the current number of remaining parking spaces is less than or equal to the low number threshold, mark the traffic section to which the parking entrance and exit of the static traffic belongs; S2, determining the interval section where the static traffic parking space is located in the marked traffic section, and collecting the traffic flow data of the traffic light intersection of the interval section, wherein the traffic flow data includes the number of vehicles entering the interval section, the number of vehicles going out straight, the number of vehicles turning left, and the number of vehicles turning right; S3, judging the overload of the section based on the traffic flow data, and issuing abnormal warning according to the overload judgment result; S4. Adjust the traffic light duration of the section according to the abnormal traffic warning results; S5. Obtain the number of remaining parking spaces for static traffic in real time and compare it with the low number threshold. If it is greater than the low number threshold, adjust the traffic section to which the static traffic parking entrance and exit belongs and remove the mark. Perform a secondary comparison based on the traffic flow data passing through each signal light intersection in the interval section. If the number of vehicles leaving the interval section is greater than or equal to the percentage threshold of the number of vehicles entering the interval section, remove the abnormal warning and restore the signal light cycle at the signal light intersection of the original traffic section.

2. The traffic anomaly warning method based on urban static traffic comprehensive data according to claim 1 is characterized in that: The step S2 collects the traffic flow data of the traffic light intersection of the section road, and the specific operation is: S2.1, based on the marked traffic section, starting from the static traffic parking space entrance and exit, extending to both sides along the driving direction of the traffic section until the first traffic light intersection ends, and the traffic section between the traffic light intersections in each driving direction is the determined section; S2.2, the number of vehicles passing through a single traffic light cycle at each intersection is collected through the road monitoring system at each traffic light intersection; the traffic light cycle starts from the green light straight line and ends at the next green light straight line, and the number of vehicles entering the interval section and the number of vehicles leaving the interval section in one traffic light cycle are counted respectively; S2.

3. Determine the traffic flow data of the section based on the number of vehicles passing through each signal light intersection in a single signal light cycle.

3. The traffic anomaly warning method based on comprehensive urban static traffic data according to claim 1 is characterized in that: In S3, the overload of the section is determined based on the traffic flow data, and the specific method is as follows: S3.

1. Obtain the number of vehicles at the signal light intersections at both ends of the interval section in the same driving direction according to the traffic flow data, that is, the number of vehicles A entering the interval section at the signal light intersection at one end and the number of vehicles B' leaving the interval section at the signal light intersection at the other end; S3.2, comparing the number of vehicles A entering the interval section with the number of vehicles B' exiting the interval section, and issuing a traffic anomaly warning based on the comparison result; Preset the percentage coefficient of vehicle overload and determine the percentage threshold of vehicle quantity A; If the number of vehicles B' leaving the section is less than the percentage threshold of the number of vehicles A, the section is overloaded and an abnormal warning is issued; If the number of vehicles B' driving out is greater than or equal to the percentage threshold of the number of vehicles A, the traffic section is normal and no traffic abnormality warning is issued.

4. The traffic anomaly warning method based on urban static traffic comprehensive data according to claim 1 is characterized in that: In S4, the traffic light duration of the section is adjusted according to the abnormal traffic warning result, specifically: S4.

1. When an abnormal warning is present in a section, the number of vehicles exiting the section in the driving direction is obtained based on the traffic flow data in the driving direction of the abnormal warning, and the signal light duration of the corresponding direction is adjusted based on the exit vehicle data in the three directions; If the number of vehicles going straight out is the highest, the straight green light duration at the signal light intersection will be extended by a preset time value; If the number of vehicles turning left is the highest, the left-turn green light duration at the signal light intersection is extended by a preset time value; If the number of vehicles turning right is the highest, the straight green light duration of the traffic section perpendicular to the traffic section at the signalized intersection is shortened by a preset time value; S4.

2. Based on the adjusted signal light duration, adjust the signal light priority of the section entering the section and the section exiting the section in the driving direction; S4.

3. According to the determined adjusted signal light duration and signal light priority, the signal light intersections of the section are adjusted synchronously.

5. The traffic anomaly warning method based on comprehensive urban static traffic data according to claim 4 is characterized in that: The S4 also includes if there are cross-connections between two or more traffic sections belonging to static traffic and all of them issue abnormal warnings, then the traffic flow data of each section is compared to determine the section with the largest traffic flow data, and based on the adjustment time of the traffic light communication time of the section, the signal light cycle of the signal light intersection where the traffic sections overlap is controlled.

6. The traffic anomaly warning method based on urban static traffic comprehensive data according to claim 1 is characterized in that: The static traffic includes static parking spaces in parking lots and temporary parking spaces on roads.

7. The traffic anomaly warning method based on comprehensive urban static traffic data according to claim 2 is characterized in that: The number of vehicles entering the interval section is the number of vehicles passing through all intersections in a single traffic light cycle; The number of vehicles exiting the interval road section includes the number of vehicles driving straight out, the number of vehicles turning left, and the number of vehicles turning right in a single traffic light cycle.

8. A traffic anomaly warning system based on comprehensive urban static traffic data, characterized in that: include: A full load detection module is used to obtain the number of remaining parking spaces for static traffic and set a low number threshold for static traffic to determine the full load of static traffic. If the current number of remaining parking spaces is less than or equal to the low number threshold, the traffic section to which the parking entrance and exit of the static traffic belongs is marked; A traffic collection module is used to determine the interval section where the static traffic parking space is located in the marked traffic section, and collect the traffic flow data of the traffic light intersection of the interval section, wherein the traffic flow data includes the number of vehicles entering the interval section, the number of vehicles going straight out, the number of vehicles turning left, and the number of vehicles turning right; The abnormal warning module is used to judge the overload volume of the section based on the traffic flow data, and to issue an abnormal warning according to the overload volume judgment result; A processing module, used to adjust the traffic light duration of the section according to the traffic anomaly warning result; The warning cancellation module is used to obtain the number of remaining parking spaces for static traffic in real time and compare it with the low number threshold. If it is greater than the low number threshold, the traffic section to which the static traffic parking entrance and exit belongs will be adjusted and the mark will be removed; a secondary comparison will be made based on the traffic flow data passing through each signal light intersection in the interval section. If the number of vehicles leaving the interval section is greater than or equal to the percentage threshold of the number of vehicles entering the interval section, the abnormal warning will be cancelled and the signal light cycle at the signal light intersection of the original traffic section will be restored.

9. A traffic anomaly warning device based on comprehensive urban static traffic data, characterized in that: It comprises a processor and a memory, wherein when the processor executes the program data stored in the memory, it implements the traffic anomaly warning method based on urban static traffic comprehensive data as described in any one of claims 1-7.

10. A readable storage medium, characterized in that: Used to store control program data, wherein the control program data, when executed by a processor, implements the traffic anomaly warning method based on urban static traffic comprehensive data as described in any one of claims 1-7.

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