CN116663934B - Traffic event processing method and system integrating monitoring data - Google Patents
Traffic event processing method and system integrating monitoring data Download PDFInfo
- Publication number
- CN116663934B CN116663934B CN202310705206.3A CN202310705206A CN116663934B CN 116663934 B CN116663934 B CN 116663934B CN 202310705206 A CN202310705206 A CN 202310705206A CN 116663934 B CN116663934 B CN 116663934B
- Authority
- CN
- China
- Prior art keywords
- duty
- traffic
- processing
- preset
- road section
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0637—Strategic management or analysis, e.g. setting a goal or target of an organisation; Planning actions based on goals; Analysis or evaluation of effectiveness of goals
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/40—Business processes related to the transportation industry
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
- G06V20/54—Surveillance or monitoring of activities, e.g. for recognising suspicious objects of traffic, e.g. cars on the road, trains or boats
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/10—Internal combustion engine [ICE] based vehicles
- Y02T10/40—Engine management systems
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Human Resources & Organizations (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Economics (AREA)
- Physics & Mathematics (AREA)
- Strategic Management (AREA)
- Entrepreneurship & Innovation (AREA)
- Marketing (AREA)
- Educational Administration (AREA)
- General Business, Economics & Management (AREA)
- Tourism & Hospitality (AREA)
- Quality & Reliability (AREA)
- Game Theory and Decision Science (AREA)
- Operations Research (AREA)
- Development Economics (AREA)
- Multimedia (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Traffic Control Systems (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
A traffic event processing method and system integrating monitoring data relates to the field of data processing. The method is applied to a traffic platform and comprises the steps of obtaining monitoring data of a preset camera, determining traffic event types of a target road section based on the monitoring data, wherein the traffic event types comprise traffic jam, traffic accidents and vehicle damage, matching the traffic event types with a preset strategy table to obtain a processing strategy corresponding to the traffic event types, and sending the traffic event types and the processing strategy to user equipment of duty personnel. Thereby improving the duty efficiency of the traffic police.
Description
Technical Field
The application relates to the technical field of data processing, in particular to a traffic event processing method and system integrating monitoring data.
Background
Along with the urban construction of China, a traffic road network is also established among villages and towns, wherein the traffic road network comprises the construction of national roads and provincial roads, so that foreign people travel or go home to visit relatives.
During some holidays, these roads are often very congested and even a series of traffic accidents occur in severe cases. At present, when traffic events occur, in the traditional processing mode, a principal is required to contact a local traffic management department to report the current event condition, then the traffic management department dispatches a traffic police to the place where the traffic police is going to issue, and after knowing the actual condition, the traffic police adopts corresponding solving measures to ensure that the road is unobstructed. However, the process of traffic police knowing the actual situation requires a lot of time, resulting in lower processing efficiency.
Disclosure of Invention
The application provides a traffic event processing method and system integrating monitoring data, which have the effect of duty efficiency of traffic police.
In a first aspect, the application provides a traffic event processing method integrating monitoring data, which is applied to a traffic platform, and comprises the steps of acquiring monitoring data of a preset camera; the traffic event type of the target road section is determined based on the monitoring data, the traffic event type comprises traffic jam, traffic accident and vehicle damage, the traffic event type is matched with a preset strategy table to obtain a processing strategy corresponding to the traffic event type, and the traffic event type and the processing strategy are sent to user equipment of a duty personnel.
By adopting the technical scheme, the target road section with traffic events and the specific conditions of the traffic events can be quickly found according to the monitoring data of the preset cameras, the type of the traffic events is matched with the preset policy table, so that a comprehensive traffic event processing policy is obtained, the processing policy is sent to user equipment of the duty personnel of the target road section in advance, the duty personnel can quickly know the site conditions, and the duty personnel can more comprehensively know and process the traffic events by referring to the processing policy of the traffic events, so that the probability of missing processing of the traffic events is reduced.
The application provides a traffic event processing system integrating monitoring data, which is a traffic platform and comprises an acquisition module, a processing module and a sending module, wherein the acquisition module is used for acquiring the monitoring data of a preset camera, the processing module is used for determining the traffic event type of a target road section based on the monitoring data, the traffic event type comprises traffic jam, traffic accidents and vehicle damage, the traffic event type is matched with a preset strategy table to obtain a processing strategy corresponding to the traffic event type, and the sending module is used for sending the traffic event type and the processing strategy to user equipment of duty personnel.
By adopting the technical scheme, the acquisition module can quickly find a target road section with traffic events and specific conditions of the traffic events according to the monitoring data of the preset cameras, the processing module can obtain a comprehensive traffic event processing strategy by matching the types of the traffic events with the preset strategy table, the sending module sends the processing strategy to user equipment of a duty personnel of the target road section in advance so as to help the duty personnel to quickly know the site conditions, and the duty personnel can more comprehensively know and process the traffic events by referring to the processing strategy of the traffic events, so that the probability of missing processing of the traffic events is reduced.
Optionally, the traffic event type of the target road section is determined based on the monitoring data, and the traffic event type determining device further comprises an acquisition module, a processing module and a processing module, wherein the acquisition module is used for processing the monitoring data to obtain road condition information of the target road section, the road condition information comprises traffic flow, traffic conditions, average speed and vehicle density, the processing module is used for splitting the target road section into a plurality of sub road sections according to a preset first rule, the preset first rule is an intersection, a sidewalk and a traffic light, the acquisition module is used for acquiring sub road condition information corresponding to each of the sub road sections, and the processing module is used for determining that the sub road section corresponding to the first sub road condition information is an accident road section if the similarity value of the first sub road condition information and the road condition information is greater than a preset similarity threshold value, and the first sub road condition information is any one of the sub road condition information.
By adopting the technical scheme, the processing module splits the target road section into a plurality of sub road sections, and then respectively matches the road condition information of the plurality of sub road sections with the road condition information of the target road section, so that the accident road section which causes the traffic event is determined, and the accident reason can be analyzed more accurately.
Optionally, the processing module is configured to match the first sub-road condition information with a preset accident classification table, so as to obtain the traffic event type, where the preset accident classification table includes a correspondence between road condition information and traffic event type.
Through adopting above-mentioned technical scheme, through the accident classification table that sets up in advance to make at the first time of traffic accident emergence, can predict traffic event type and its corresponding event reason fast, and then help the traffic police can make the arrangement of relevant work in advance.
Optionally, the processing module is configured to divide the traffic event type into a plurality of events to be processed, where the plurality of events to be processed include traffic management, vehicle maintenance, insurance issues and casualty personnel rescue, match the plurality of events to a preset policy table to obtain a corresponding preprocessing policy of each of the plurality of events, and connect the plurality of preprocessing policies to an event processing chain according to a preset second rule to generate a processing policy.
By adopting the technical scheme, the traffic event type is subdivided into a plurality of small events to be processed, so that traffic polices are helped to more comprehensively consider and process the traffic event, the possibility that the traffic polices miss processing matters is reduced, the plurality of events to be processed are matched with a preset skip list, the preprocessing strategies of the plurality of events to be processed are obtained, and the plurality of preprocessing strategies are used for generating an event processing chain, so that the traffic polices are helped to reasonably arrange the whole duty plan.
Optionally, the acquiring module is configured to acquire event processing time of the plurality of events to be processed, where the event processing time includes preparation time, commute time and processing time, the processing module is configured to determine a processing time period corresponding to each of the plurality of events to be processed according to the event processing time, where the processing time period includes a plurality of time nodes, and connect the plurality of time nodes corresponding to each of the plurality of events to be processed according to a time sequence, so as to generate the event processing chain.
By adopting the technical scheme, the starting time points and the ending time points of a plurality of events to be processed in the processing process are connected into the event processing chain according to the time sequence, so that traffic police can know the whole processing period of traffic events, the predicted processing strategy can be adjusted conveniently, and the whole duty efficiency is improved.
Optionally, the acquiring module is configured to acquire duty information of a plurality of duty personnel, where the duty information includes position information and duty status, the processing module is configured to prioritize the plurality of duty personnel according to the duty information, and if the priority of a first duty personnel is greater than that of a second duty personnel, the sending module sends the processing policy to the first duty personnel, where the first duty personnel is any one of the plurality of duty personnel, and the second duty personnel is any one of the plurality of duty personnel.
Through adopting above-mentioned technical scheme, there are a plurality of personnel on duty in the event place of traffic incident, carry out the priority order with a plurality of personnel on duty according to the information on duty, the priority is to the specific condition of the high personnel on duty of priority sending traffic incident and its corresponding processing strategy to be convenient for police reasonable arrangement police strength and improve the efficiency of on duty.
Optionally, the sending the traffic event type and the processing policy to the first duty personnel further includes sending the traffic event type and the processing policy to the second duty personnel by a sending module if the first duty personnel does not reach the target road section within a preset time period.
By adopting the technical scheme, when the duty personnel cannot go to the duty place on time or cannot go to the duty place because of some sudden reasons, the specific situation of the traffic event and the corresponding processing strategy are sent to the second duty personnel according to the priority, so that the traffic event can be timely processed, and larger influence is avoided.
In a third aspect, the present application provides an electronic device comprising a processor, a memory for storing instructions, a user interface and a network interface for communicating to other devices, the processor for executing the instructions stored in the memory to cause the electronic device to perform the method of any of the first aspects.
In a fourth aspect, the present application provides a computer readable storage medium storing instructions which, when executed, perform the method of any one of the first aspects.
In summary, one or more technical solutions provided in the embodiments of the present application at least have the following technical effects or advantages:
1. The traffic event type is matched with a preset strategy table, so that a comprehensive traffic event processing strategy is obtained, the processing strategy is sent to user equipment of a duty personnel of the target road section in advance, the duty personnel can quickly know the scene condition, and the duty personnel can more comprehensively know and process the traffic event by referring to the traffic event processing strategy, so that the probability of missing processing of the traffic event is reduced.
2. The traffic event type is subdivided into a plurality of small events to be processed, so that traffic polices are helped to comprehensively consider and process the traffic events, meanwhile, the possibility that the traffic polices miss processing matters is reduced, the plurality of events to be processed are matched with a preset skip list, the preprocessing strategies of the plurality of events to be processed are obtained, and then the plurality of preprocessing strategies are generated into an event processing chain, so that the traffic polices are helped to reasonably arrange the whole duty plan.
Drawings
Fig. 1 is a schematic flow chart of a traffic event processing method for fusing monitoring data according to an embodiment of the present application.
Fig. 2 is a schematic structural diagram of an event processing chain according to an embodiment of the present application.
Fig. 3 is a schematic structural diagram of a traffic event processing device with fused monitoring data according to an embodiment of the present application.
Fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
The reference numerals illustrate 1, an acquisition module, 2, a processing module, 3, a sending module, 400, an electronic device, 401, a processor, 402, a communication bus, 403, a user interface, 404, a network interface, 405, and a memory.
Detailed Description
In order that those skilled in the art will better understand the technical solutions in the present specification, the technical solutions in the embodiments of the present specification will be clearly and completely described below with reference to the drawings in the embodiments of the present specification, and it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments.
In describing embodiments of the present application, words such as "for example" or "for example" are used to mean serving as examples, illustrations, or descriptions. Any embodiment or design described herein as "such as" or "for example" in embodiments of the application should not be construed as preferred or advantageous over other embodiments or designs. Rather, the use of words such as "or" for example "is intended to present related concepts in a concrete fashion.
In the description of embodiments of the application, the term "plurality" means two or more. For example, a plurality of systems means two or more systems, and a plurality of screen terminals means two or more screen terminals. Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating an indicated technical feature. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include one or more such feature. The terms "comprising," "including," "having," and variations thereof mean "including but not limited to," unless expressly specified otherwise.
Along with the promotion of urban construction in China, the traffic road network is gradually perfected, and the traffic connection among villages and towns is increasingly compact, wherein the construction of national roads and provinces is included, so that travel demands of people, such as traveling and relatives seeking are met.
With the acceleration of the urban process, the problems of population flow and traffic jam are more and more prominent, and especially during important holidays, the problems of jam, traffic accidents and the like of the roads often occur, so that great inconvenience and potential safety hazards are brought to the travel of people. In the traditional processing mode, a principal is required to contact a local traffic management department to report the current event condition, then the traffic management department dispatches a traffic police to go to the place where the traffic police is located, and after knowing the actual condition, the traffic police adopts corresponding solving measures to ensure that the road is smooth. However, the process of traffic police knowing the actual situation requires a lot of time, resulting in lower processing efficiency.
In order to solve the problem, the application provides a traffic event processing method integrating monitoring data, which is applied to a traffic management platform, as shown in fig. 1, and comprises steps S101 to S104.
S101, acquiring monitoring data of a preset camera.
In the above steps, the preset camera may be understood as a camera for monitoring a driving state of a vehicle on a target road section, for example, a camera for shooting whether the vehicle is driving on a wrong lane is provided on a traffic light, and a camera for monitoring a traffic flow and a vehicle speed is provided on a street lamp. The application discloses a system for monitoring traffic accidents, which comprises a target road section, a monitoring video and a camera, wherein the target road section is a road section with traffic events fed back by a user or an accident road section determined by checking the monitoring video by a staff of a fire platform, the preset cameras are all cameras arranged on the target road section, and the user is a driver or an accident principal at the target road section. In addition, the preset camera is opened all the time to ensure the monitoring continuity. When a traffic event exists in a target road section, the traffic management platform calls monitoring data and a current monitoring picture which are stored in a camera on the road section in a preset time period.
S102, determining traffic event types of the target road section based on the monitoring data, wherein the traffic event types comprise traffic jam, traffic accident and vehicle damage.
In the above steps, after the traffic platform obtains the monitoring data of the preset camera, the traffic platform performs image processing on the monitoring data to obtain the road condition information of the target road section. The road condition information includes, but is not limited to, traffic flow, vehicle condition, average vehicle speed, vehicle density, road width and traffic light number. The method comprises the steps of dividing a target road section into a plurality of sub road sections according to a preset first rule, wherein the preset first rule can be understood as a node standard for dividing the target road section into the plurality of sub road sections, for example, when the target road section comprises an intersection, a sidewalk and a traffic light, the node standard can be at least one of the intersection, the sidewalk and the traffic light, and naturally, the node standard is not limited to the intersection, the sidewalk and the traffic light and can also comprise a school exit, a residential area exit and the like due to different road condition information of each road, and the setting of the preset first rule is determined according to practical conditions. At this time, if the target link includes 3 intersections, 2 traffic lights, and 1 sidewalk, and the 2 intersections coincide with the traffic lights, the target link is divided into 5 sub-links. And the traffic platform acquires sub-road condition information corresponding to each of the plurality of sub-road sections through the monitoring data, wherein the sub-road condition information and the road condition information of the target road section are the same type of information. When the similarity value of the first sub road condition information in the plurality of sub road condition information and the road condition information of the target road section is larger than the preset similarity threshold value, the main reason for the traffic event caused by the existence of the sub road section corresponding to the first sub road condition information can be determined. The similarity calculation method can adopt any one of a covariance image comparison algorithm, a peak signal-to-noise ratio image comparison method and a structural similarity index, and the application is not limited. It should be explained that the above-mentioned similarity calculation formula may be adopted when comparing images, and any one of cosine similarity and hamming distance similarity may be adopted if text similarity needs to be compared, which is not limited by the present application. The similarity calculation method is determined according to the computer computing power, when the computer computing power is high, an image similarity algorithm is selected, and when the computer computing power is low, text similarity calculation is selected. The similarity algorithm is selected according to the actual situation.
And after determining that the sub road section corresponding to the first road condition information is an accident road section, the traffic platform matches the first sub road condition information with a preset accident classification table so as to obtain the traffic event type of the target road section, wherein the traffic event type comprises but is not limited to traffic jam, traffic accident, vehicle damage and road maintenance. The preset accident classification table comprises a corresponding relation between road condition information and traffic event types, wherein one traffic event type corresponds to a plurality of road condition information, for example, the plurality of road condition information comprises traffic flow reduction, vehicle speed reduction, vehicle density increase and collision damage of vehicles, and the traffic event type is determined as the traffic accident of a target road section.
And S103, matching the traffic event type with a preset strategy table to obtain a processing strategy corresponding to the traffic event type.
In the above steps, after determining the traffic event type of the target road section, the traffic platform divides the traffic event type into a plurality of events to be processed, wherein the events to be processed include but are not limited to event registration, traffic management, vehicle maintenance, insurance matters and casualty personnel rescue. And then acquiring the actual field condition of each event to be processed, and matching the corresponding preprocessing strategies of the plurality of events to be processed from a preset strategy table according to the field condition of each event to be processed.
For example, if a serious car accident occurs and there is a casualty, the traffic platform divides the event into a plurality of treatment events, including traffic grooming, vehicle maintenance, insurance matters, and casualty personnel rescue. Then, the actual situation of the site of each event to be treated is obtained, for example, 3 wounded persons are on the site, 3 vehicles are seriously damaged, and the like. According to the site situation of each event to be processed, a plurality of corresponding pretreatment strategies of the event to be processed are matched from a preset strategy table, for traffic combing, the pretreatment strategies are used for calling traffic police to dispatch traffic police to dredge traffic, for casualties to rescue, the pretreatment strategies are used for calling emergency calls and cleaning sites so as to rescue vehicles to enter, for vehicle maintenance, the pretreatment strategies are used for dragging damaged vehicles off site and arranging maintenance, for insurance matters, the pretreatment strategies are used for calling insurance companies to inquire whether injured personnel and damaged vehicles purchase related insurance and arrange related reimbursements.
After determining the preprocessing strategies of the plurality of to-be-processed strategies, acquiring event processing time of the plurality of to-be-processed events, wherein the event processing time comprises preparation time, commute time and processing time. The preparation time can be understood as the preparation time of the related personnel of the event to be processed before departure, the commute time can be understood as the time of the related personnel of the event to be processed reaching the accident scene after departure, and the processing time can be understood as the time of the related personnel of the event to be processed to process the event to be processed after reaching the accident scene. Wherein each time to be processed comprises a plurality of time periods, each time period being for a start time node and an end time node. For example, the preparation time, the commute time, and the processing time each correspond to a period of time. And finally, connecting a plurality of time nodes corresponding to the events to be processed according to the time sequence to generate an event processing chain, wherein the event processing chain is a traffic event processing strategy, and the event processing chain can help traffic police to know the whole processing period of the traffic event so as to make some adjustments to the predicted processing strategy, thereby improving the whole duty efficiency.
For example, as shown in fig. 2, when the plurality of events to be treated are traffic grooming and casualty people. The traffic management corresponds to 4 time nodes including a, B, C and D, wherein the time for the traffic police to go to the target road section is prepared between a and B, the commute time for the traffic police to go to the target road section is prepared between B and C, the time for the traffic police to manage traffic is prepared between C and D, the casualty personnel management comprises A, B, C and D, the time for the hospital to arrange the rescue personnel is prepared between A and B, the commute time for the ambulance to go to the target road section is prepared between B and C, and the time for the ambulance to manage the casualty personnel is prepared between C and D. And arranging a plurality of events to be processed and a plurality of time nodes corresponding to the events to be processed on a time axis according to the time sequence. In order to facilitate viewing of the event sequence of the plurality of events to be processed, the time corresponding to each time period is displayed in a table form.
And S104, transmitting the traffic event type and the processing strategy to user equipment of the duty personnel.
In the above steps, since there may be a plurality of duty personnel in the vicinity of the target road section, in order to facilitate the police's reasonable arrangement of police forces and to improve duty efficiency. And acquiring the duty information of a plurality of duty personnel through the duty records of the duty personnel, wherein the duty information comprises position information and duty state which can be understood as whether the duty personnel is currently on duty and the duty ending time. The fire-fighting platform sorts the priorities of the plurality of duty personnel according to the respective duty information of the plurality of duty personnel, and in the priority sorting process, the traffic platform determines the duty time of the duty personnel reaching the target road section according to the position information, and then determines the current time of the duty personnel needing to be duty according to the duty state. And finally, determining the total time of duty of the duty personnel according to the commute time and the current time of duty, and sequencing the priorities of the duty personnel based on the total time of duty. At this point, the traffic event type and processing policy are sent to the highest priority duty personnel. If the duty personnel with the highest priority has an emergency, for example, traffic congestion cannot go to the duty place on time due to the storm on the duty-on road, or the duty personnel needs to support an emergency event and cannot go to the duty place, the traffic event types and the processing strategies are sent one by one according to the priority sorting result until any one duty personnel finishes the duty of the traffic event.
The application also provides a traffic event processing system integrating the monitoring data, which is a traffic platform, as shown in fig. 3, wherein the traffic platform comprises an acquisition module 1, a processing module 2 and a sending module 3, wherein:
the acquisition module 1 is used for acquiring monitoring data of a preset camera;
The processing module 2 is used for determining the traffic event type of the target road section based on the monitoring data, wherein the traffic event type comprises traffic jam, traffic accident and vehicle damage;
and the sending module 3 is used for sending the traffic event type and the processing strategy to the user equipment of the duty personnel.
In a possible implementation manner, the method for determining the traffic event type of the target road section based on the monitoring data further comprises the steps of obtaining the road condition information of the target road section by processing the monitoring data, wherein the road condition information comprises traffic flow, vehicle condition, average speed and vehicle density, the processing module 2 is used for splitting the target road section into a plurality of sub road sections according to a preset first rule, the preset first rule is an intersection, a sidewalk and a traffic light, the obtaining module 1 is used for obtaining sub road condition information corresponding to each of the sub road sections, and the processing module 2 is used for determining that the sub road section corresponding to the first sub road condition information is an accident road section if the similarity value of the first sub road condition information and the road condition information is larger than a preset similarity threshold value.
In one possible implementation manner, the processing module 2 is configured to match the first sub-road condition information with a preset accident classification table, so as to obtain the traffic event type, where the preset accident classification table includes a correspondence between road condition information and traffic event type.
In one possible implementation manner, the processing module 2 is configured to divide the traffic event type into a plurality of events to be processed, where the plurality of events to be processed include traffic management, vehicle maintenance, insurance issues, and casualty personnel rescue, match the plurality of events to a preset policy table to obtain a preprocessing policy corresponding to each of the plurality of events, and connect the plurality of policies to an event processing chain according to a preset second rule to generate a processing policy.
In one possible implementation manner, the acquiring module 1 is configured to acquire event processing times of the plurality of events to be processed, where the event processing times include a preparation time, a commute time, and a processing time, the processing module 2 is configured to determine, according to the event processing times, a processing time period corresponding to each of the plurality of events to be processed, where the processing time period includes a start time point and an end time point, and connect, according to a time sequence, each of the start time points and the end time points corresponding to each of the plurality of events to be processed, to generate the event processing chain.
In one possible implementation manner, the acquiring module 1 is configured to acquire duty information of a plurality of duty personnel, where the duty information includes position information and duty status, the processing module 2 is configured to prioritize the plurality of duty personnel according to the duty information, and if a first duty personnel priority is greater than a second duty personnel, the sending module 3 sends the processing policy to the first duty personnel, where the first duty personnel is any one of the plurality of duty personnel, and the second duty personnel is any one of the plurality of duty personnel.
In one possible implementation, the sending the traffic event type and the processing policy to the first duty personnel further includes sending the traffic event type and the processing policy to the second duty personnel by the sending module 3 if the first duty personnel does not reach the target road section within a preset time period.
It should be noted that, when the apparatus provided in the foregoing embodiment implements the functions thereof, only the division of the foregoing functional modules is used as an example, in practical application, the foregoing functional allocation may be implemented by different functional modules, that is, the internal structure of the device is divided into different functional modules, so as to implement all or part of the functions described above. In addition, the embodiments of the apparatus and the method provided in the foregoing embodiments belong to the same concept, and specific implementation processes of the embodiments of the method are detailed in the method embodiments, which are not repeated herein.
The application further provides electronic equipment. Referring to fig. 4, fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure. The electronic device 400 may include at least one processor 401, at least one network interface 404, a user interface 403, a memory 405, and at least one communication bus 402.
Wherein communication bus 402 is used to enable connected communications between these components.
The user interface 403 may include a Display screen (Display) and a Camera (Camera), and the optional user interface 403 may further include a standard wired interface and a standard wireless interface.
The network interface 404 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface), among others.
Wherein the processor 401 may include one or more processing cores. The processor 401 connects the various parts within the entire server using various interfaces and lines, performs various functions of the server and processes data by executing or executing instructions, programs, code sets, or instruction sets stored in the memory 405, and invoking data stored in the memory 405. Alternatively, the processor 401 may be implemented in at least one hardware form of digital signal Processing (DIGITAL SIGNAL Processing, DSP), field-Programmable gate array (Field-Programmable GATE ARRAY, FPGA), programmable logic array (Programmable Logic Array, PLA). The processor 401 may integrate one or a combination of several of a central processing unit (Central Processing Unit, CPU), an image processor (Graphics Processing Unit, GPU), a modem, etc. The CPU mainly processes an operating system, a user interface, an application program and the like, the GPU is used for rendering and drawing contents required to be displayed by the display screen, and the modem is used for processing wireless communication. It will be appreciated that the modem may not be integrated into the processor 401 and may be implemented by a single chip.
The Memory 405 may include a random access Memory (Random Access Memory, RAM) or a Read-Only Memory (Read-Only Memory). Optionally, the memory 405 includes a non-transitory computer readable medium (non-transitory computer-readable storage medium). Memory 405 may be used to store instructions, programs, code sets, or instruction sets. The memory 405 may include a stored program area that may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playing function, an image playing function, etc.), instructions for implementing the above-described respective method embodiments, etc., and a stored data area that may store data, etc., involved in the above-described respective method embodiments. The memory 405 may also optionally be at least one storage device located remotely from the aforementioned processor 401. Referring to fig. 4, an operating system, a network communication module, a user interface module, and an application program of a traffic event processing method fusing monitoring data may be included in a memory 405 as a computer storage medium.
In the electronic device 400 shown in fig. 4, the user interface 403 is primarily used to provide an input interface for a user to obtain data entered by the user, while the processor 401 may be used to invoke an application program in the memory 405 storing a traffic event processing method incorporating monitoring data, which when executed by the one or more processors 401, causes the electronic device 400 to perform the method as described in one or more of the above embodiments. It should be noted that, for simplicity of description, the foregoing method embodiments are all described as a series of acts, but it should be understood by those skilled in the art that the present application is not limited by the order of acts described, as some steps may be performed in other orders or concurrently in accordance with the present application. Further, those skilled in the art will also appreciate that the embodiments described in the specification are all of the preferred embodiments, and that the acts and modules referred to are not necessarily required for the present application.
In the foregoing embodiments, the descriptions of the embodiments are emphasized, and for parts of one embodiment that are not described in detail, reference may be made to related descriptions of other embodiments.
In the several embodiments provided by the present application, it should be understood that the disclosed apparatus may be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative, such as a division of units, merely a division of logic functions, and there may be additional divisions in actual implementation, such as multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some service interface, device or unit indirect coupling or communication connection, electrical or otherwise.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable memory. Based on this understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art or in whole or in part in the form of a software product stored in a memory, comprising several instructions for causing a computer device (which may be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the method of the various embodiments of the present application. The memory includes various media capable of storing program codes, such as a USB flash disk, a mobile hard disk, a magnetic disk or an optical disk.
The foregoing is merely exemplary embodiments of the present disclosure and is not intended to limit the scope of the present disclosure. That is, equivalent changes and modifications are contemplated by the teachings of this disclosure, which fall within the scope of the present disclosure. Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure.
This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a scope and spirit of the disclosure being indicated by the claims.
Claims (5)
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310705206.3A CN116663934B (en) | 2023-06-14 | 2023-06-14 | Traffic event processing method and system integrating monitoring data |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310705206.3A CN116663934B (en) | 2023-06-14 | 2023-06-14 | Traffic event processing method and system integrating monitoring data |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN116663934A CN116663934A (en) | 2023-08-29 |
| CN116663934B true CN116663934B (en) | 2025-02-18 |
Family
ID=87709572
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310705206.3A Active CN116663934B (en) | 2023-06-14 | 2023-06-14 | Traffic event processing method and system integrating monitoring data |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116663934B (en) |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106651071A (en) * | 2015-10-29 | 2017-05-10 | 国网智能电网研究院 | Emergency processing method used for electric power emergency |
| CN112530163A (en) * | 2020-11-23 | 2021-03-19 | 腾讯科技(深圳)有限公司 | Traffic accident prediction method, traffic accident prediction device, electronic device, and storage medium |
| CN116153067A (en) * | 2023-01-10 | 2023-05-23 | 贵州道坦坦科技股份有限公司 | Video round-robin system for traffic event |
Family Cites Families (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107045788B (en) * | 2017-06-28 | 2020-04-10 | 北京数行健科技有限公司 | Traffic road condition prediction method and device |
| CN108682155A (en) * | 2018-07-11 | 2018-10-19 | 贵州大学 | Prevent and eliminate the design method of traffic accident in advance by high moral road conditions early warning |
| CN109615894A (en) * | 2018-12-29 | 2019-04-12 | 南京奥杰智能科技有限公司 | Road section traffic volume road condition detection system for traffic information intelligent management |
| CN110895881A (en) * | 2019-12-17 | 2020-03-20 | 成都通甲优博科技有限责任公司 | Traffic data processing method, device and storage medium |
| CN111523797A (en) * | 2020-04-21 | 2020-08-11 | 深圳中科慧据科技有限公司 | Rail transit early warning event scheduling method and device, computer equipment and storage medium |
| CN113593217B (en) * | 2021-06-08 | 2022-11-04 | 北京交通大学 | A kind of traffic police force command and dispatch method, equipment and readable storage medium |
| CN113538946A (en) * | 2021-07-09 | 2021-10-22 | 池州学院 | Distribution-based highway emergency early warning system and method |
-
2023
- 2023-06-14 CN CN202310705206.3A patent/CN116663934B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106651071A (en) * | 2015-10-29 | 2017-05-10 | 国网智能电网研究院 | Emergency processing method used for electric power emergency |
| CN112530163A (en) * | 2020-11-23 | 2021-03-19 | 腾讯科技(深圳)有限公司 | Traffic accident prediction method, traffic accident prediction device, electronic device, and storage medium |
| CN116153067A (en) * | 2023-01-10 | 2023-05-23 | 贵州道坦坦科技股份有限公司 | Video round-robin system for traffic event |
Also Published As
| Publication number | Publication date |
|---|---|
| CN116663934A (en) | 2023-08-29 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110378824B (en) | A kind of public security traffic control data brain and construction method | |
| US20220215667A1 (en) | Method and apparatus for monitoring vehicle, cloud control platform and system for vehicle-road collaboration | |
| JP2022006181A (en) | Traffic monitoring methods, devices, equipment and storage media | |
| US20200175634A1 (en) | Methods, systems, and media for coordinating parking availability | |
| Ma et al. | Cityguard: A watchdog for safety-aware conflict detection in smart cities | |
| DE102017113129A1 (en) | Abolition of the autonomy behavior when using a rescue lane | |
| CN108492556A (en) | The dissemination method and Cloud Server of information are evaded in a kind of traffic accident | |
| CN106652523B (en) | Intelligent traffic system based on real-time reservation and processing of roads | |
| US20220335535A1 (en) | Traffic accident processing method and apparatus, device, storage medium and program product | |
| CN110363426A (en) | A cloud platform remote law enforcement method, device, server and storage medium | |
| Vardhana et al. | Iot based real time trafic control using cloud computing | |
| US20210049910A1 (en) | Using holistic data to implement road safety measures | |
| CN106920412A (en) | Suitable for the intelligent transportation runtime and method of bus or train route collaboration | |
| KR102644659B1 (en) | Road managing system and method | |
| CN112687401A (en) | Aggregation risk determination method and device, computer readable medium and electronic device | |
| CN111416841A (en) | Monitoring information processing method, system, terminal and readable storage medium | |
| DE102022100240A1 (en) | GELOCATION-BASED VEHICLE ACCESS SYSTEMS AND METHODS | |
| CN116663934B (en) | Traffic event processing method and system integrating monitoring data | |
| CN112837201A (en) | Accurate data-driven intelligent resource allocation system | |
| CN117236469A (en) | Reservation of access methods, devices, electronic equipment and computer program products | |
| KR20200030298A (en) | Real-time automatic traffic accident handling method | |
| CN107464036A (en) | A kind of method and its system for sending resource | |
| KR102220268B1 (en) | Device for transmitting and receiving traffic accident information, method for managing traffic accident information and apparatus using the same | |
| CN114386656A (en) | Abnormal personnel tracking method, system, computer equipment and storage medium | |
| Li et al. | Business process analysis and optimization on road traffic law enforcement of the Beijing intelligent traffic management |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |