CN114999161B - Be used for intelligent traffic jam edge management system - Google Patents
Be used for intelligent traffic jam edge management system Download PDFInfo
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- CN114999161B CN114999161B CN202210902470.1A CN202210902470A CN114999161B CN 114999161 B CN114999161 B CN 114999161B CN 202210902470 A CN202210902470 A CN 202210902470A CN 114999161 B CN114999161 B CN 114999161B
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0125—Traffic data processing
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0108—Measuring and analyzing of parameters relative to traffic conditions based on the source of data
- G08G1/0112—Measuring and analyzing of parameters relative to traffic conditions based on the source of data from the vehicle, e.g. floating car data [FCD]
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
- G08G1/0968—Systems involving transmission of navigation instructions to the vehicle
- G08G1/096805—Systems involving transmission of navigation instructions to the vehicle where the transmitted instructions are used to compute a route
Abstract
The invention relates to the field of congestion processing based on traffic accident congestion, and provides an intelligent traffic congestion edge management system. Including an edge device mounted on a piece of transportation equipment, characterized in that the system comprises: a scene acquisition module: the system comprises a traffic device, an edge device and a monitoring device, wherein the traffic device is used for acquiring surrounding scene information through the edge device on the traffic device when the traffic device is congested and judging whether a congestion event exists or not; an accident analysis module: the system comprises a scene analysis module, a traffic information module and a traffic information module, wherein the scene analysis module is used for analyzing the scene information when a congestion event exists and determining congestion accident information; an edge connection module: the edge device is used for carrying out local traffic equipment connection to form a local traffic network; an edge processing module: and the traffic alarm system is used for giving an accident alarm through the local traffic network and generating drainage paths and guide prompt information of different traffic devices. The beneficial effects are that: the vehicle drainage system can be used for carrying out local vehicle drainage and guidance by combining a plurality of vehicles, and the congestion caused by traffic accidents is relieved.
Description
Technical Field
The invention relates to the technical field of traffic management, in particular to an intelligent traffic jam edge management system.
Background
At present, along with the gradual increase of the automobile holding capacity, the increment of a running road of the automobile is far shorter than the increasing speed of the automobile holding capacity, and the congestion phenomenon of urban theory is increasingly serious.
However, in the overall management of traffic, the prior art mainly determines congestion based on street lamps and traffic flow as reference items, and if an irregular congestion event occurs, for example, a traffic congestion caused by the congestion event occurring in a road: traffic accidents occur in roads, congestion phenomena caused by unconventional events such as temporary management and control, sudden collapse or water flooding occur in the roads, and the like, and although traffic dispersion can be realized by adjusting traffic lights, the congestion phenomena caused by the congestion phenomena can only be relieved, and the temporary congestion problem cannot be fundamentally solved. In order to fundamentally solve the problem of traffic congestion caused by the problems, the congestion events need to be quickly discovered, the event cause needs to be quickly determined, and the congestion events need to be quickly reported and quickly processed.
Disclosure of Invention
The invention provides an intelligent traffic jam edge management system which is used for solving the jam phenomena caused by unconventional events such as traffic accidents, temporary management and control in roads, sudden collapse in roads or flooding of roads and the like, and the jam phenomena caused by the unconventional events can only relieve traffic jams and cannot fundamentally solve the temporary jam problem although traffic dispersion can be realized by adjusting traffic lights.
An edge management system for intelligent traffic congestion, comprising an edge device mounted on a piece of traffic equipment, the system comprising:
a scene acquisition module: the system is used for acquiring surrounding scene information through an edge device on the traffic equipment when the traffic equipment is jammed and judging whether a jam event exists or not;
an accident analysis module: the system comprises a scene analysis module, a traffic information module and a traffic information module, wherein the scene analysis module is used for analyzing the scene information when a congestion event exists and determining congestion accident information;
an edge connection module: the edge device is used for carrying out local traffic equipment connection to form a local traffic network;
an edge processing module: and the local traffic network is used for generating drainage paths and guidance prompt information of different traffic devices.
Further: the scene acquisition module comprises:
vehicle information acquisition unit: the system comprises a traffic device, an edge device and a control device, wherein the traffic device is used for connecting the traffic device through the edge device and acquiring real-time information of the traffic device; wherein the content of the first and second substances,
the real-time information includes: real-time speed information, average speed information, real-time position information and driving path information;
a scene acquisition unit: the system comprises a data acquisition module, a data processing module and a data processing module, wherein the data acquisition module is used for acquiring scene data around the traffic equipment and determining the scene data of the traffic equipment; wherein, the first and the second end of the pipe are connected with each other,
the scene data includes: the method comprises the following steps of (1) obtaining a surrounding scene image, surrounding vehicle distribution information and moving data of surrounding vehicles;
a congestion determination unit: the system comprises a real-time information acquisition module, a traffic jam judging module and a traffic jam judging module, wherein the traffic jam judging module is used for determining local vehicle data according to the real-time information and scene data and judging whether a traffic jam exists or not based on a traffic jam judging model; wherein the content of the first and second substances,
the local vehicle data includes: the local vehicle density data, the local vehicle average speed information and the running information of the local vehicle in the preset time;
congestion factor extraction means: the system is used for screening accident factors according to the scene image when the local congestion occurs, and judging whether a road accident exists or not;
congestion event determination unit: the method is used for determining accident characteristics of the road accident when the road accident exists, and determining the corresponding congestion event according to the accident characteristics.
Further: the congestion factor extraction unit comprises the following extraction steps:
determining a peripheral scene image according to the scene data;
splicing surrounding scene images to generate a local stereo image;
setting gridding division conditions according to the local stereo image through a division reference of gridding division, dividing the local stereo image to generate a gridded image, and constructing an element data set corresponding to the current gridded image;
extracting scene elements within different meshes based on the element data set;
screening scene elements which accord with the characteristic matching conditions in different grids in a preset scene database; wherein, the first and the second end of the pipe are connected with each other,
the scene element database includes all scene elements;
the characteristic matching conditions comprise chromatographic matching, contour matching and geometric matching;
marking the scene elements which accord with the characteristic matching condition to generate a marking code;
according to the mark codes, a congestion judgment model based on the local stereo image is constructed;
calculating the weight value of each scene element in the congestion condition according to the congestion judgment model; wherein the content of the first and second substances,
the weight values represent congestion weights for different scene elements in a congestion environment;
and extracting congestion factors according to the weight values.
Further: the congestion event determination unit determines the corresponding congestion event, and includes the following steps:
counting road congestion events in advance, and constructing a knowledge graph of the road congestion events;
determining event entity information of different road congestion events in a knowledge graph of the road congestion events;
obtaining a congestion identity entity associated with the event entity information of the road congestion event;
according to the congestion identity entity, determining position information associated with the congestion identity entity as congestion position information, and time information associated with the congestion position information as congestion time information; wherein the content of the first and second substances,
the congestion position information represents position information of an event entity of a road congestion event;
the congestion event information represents congestion time of a road congestion event;
defining N-level congestion position information according to the vehicle adjacency degree of the congestion position information, and defining M-level congestion time information according to the adjacency degree of the congestion time information, wherein N, M is a positive integer;
obtaining type information associated with the congestion identity entity according to the knowledge graph of the road congestion event; wherein the content of the first and second substances,
the knowledge graph of the road congestion event comprises congestion identity entities and type information, wherein the congestion identity entities are at least one, the type information at least comprises identity information, time information and position information, each congestion identity entity is respectively associated with one identity information, one time information and one position information, adjacent time information is associated, and adjacent position information is associated;
and determining a corresponding congestion event according to the identity information, the position information, the type information and the time information.
Further: the incident analysis module includes:
a model generation unit: the scene analysis module is used for acquiring scene data and analyzing scenes through the scene analysis model so as to generate a scene document;
a document decomposition unit: the system comprises a neural training model, a Word2Vec model and a scene document database, wherein the neural training model is used for analyzing the scene document based on the training of a road accident library so as to obtain a plurality of congestion event information, and is used for decomposing the information of the scene document so as to obtain scene global information and n elements corresponding to the scene document; wherein the content of the first and second substances,
the scene global information comprises distribution information of different elements in the scene global;
the n elements are all elements of a congestion event;
an information vector generation unit: the system comprises a preset cyclic neural network, an element information vector and a scene global information vector, wherein the preset cyclic neural network is used for processing the scene global information to generate an information vector of the scene global information, and the cyclic neural network is used for processing n elements of the information vector to generate an element information vector;
an event information extraction unit: the system comprises a cyclic neural network, a congestion event content summary and a congestion event information determination module, wherein the cyclic neural network is used for processing element information vectors to generate a congestion event content summary, and the congestion event information is determined according to the congestion event content summary;
an accident determination unit: and the congestion event information is matched with a preset congestion event template to determine corresponding congestion accident information.
Further: the accident determination unit matches the congestion event information with a preset congestion event template, and includes the following steps:
performing event analysis on the congestion event information through a preset congestion event analysis rule, and determining a regular expression set; wherein the content of the first and second substances,
the congestion event resolution rule at least comprises the following steps: the method comprises the steps of analyzing a congestion event type rule, a congestion event feature analysis rule, a congestion event element analysis rule and an attribute analysis rule of a template matching item;
matching the congestion event information with each regular expression in the regular expression set of the congestion event template one by one, and determining a target regular expression which is successfully matched with the event information; wherein the one-by-one matching comprises:
under the condition that a regular expression comprising an exclusion item exists in the regular expression set of the congestion event template, matching the congestion event information with the regular expression without the exclusion item; wherein, the first and the second end of the pipe are connected with each other,
the exclusion item is determined based on the congestion event analysis rule, and comprises event types, event characteristics, event elements and attributes of template matching items;
under the condition that the congestion event information and the congestion event template are successfully matched, determining a target regular expression which is successfully matched with the event information from the regular expressions comprising the exclusion items;
and acquiring congestion accident information corresponding to the congestion event information based on the target regular expression.
And further: the edge connection module includes:
an apparatus information acquisition unit: the device identification of the current traffic equipment is obtained according to the device parameters of the edge device of the current traffic equipment, and corresponding first configuration parameter information is matched according to the device identification; wherein the content of the first and second substances,
the first configuration parameter information is communication configuration information of traffic equipment;
an edge device information acquisition unit: acquiring second configuration parameter information of the edge device;
the second configuration parameter information is communication configuration information of the edge device;
a node information acquisition unit: the system comprises a first configuration parameter information module, a second configuration parameter information module, a node feature module and a node address module, wherein the first configuration parameter information module is used for acquiring connection configuration information of the current traffic equipment and the edge device according to the first configuration parameter information and the second configuration parameter information, generating a combined connection node, determining the node feature and generating a first address parameter of the node;
a matching unit: for matching peripheral other edge devices by the edge device and determining second address parameters of the other edge devices;
a networking unit: and the local traffic network is generated by performing combined networking on the edge device of the current traffic equipment and the edge devices of the surrounding vehicles according to the first address parameter and the second address parameter.
Further: the networking unit includes: :
a signal azimuth subunit: the system is used for calculating the azimuth angle of a signal from the current traffic equipment to other edge devices according to the address parameters;
a distance calculation subunit: the distance between the current traffic equipment and other edge devices is calculated according to the address parameters;
local movement determination subunit: the system comprises a joint networking module, a local traffic equipment and a local traffic equipment, wherein the joint networking module is used for determining the movement information of the current traffic equipment and the peripheral traffic equipment according to the joint networking;
the model equation construction subunit: the system is used for establishing a motion model and a relative state equation based on local transportation equipment movement characteristics and the joint networking positioning; wherein the content of the first and second substances,
the relative state equation is a measurement equation established by the distance from the current traffic equipment to the edge devices of other traffic equipment and the azimuth angle of the signal;
a coordinate filtering unit: the system comprises a position coordinate calculation module, a position coordinate calculation module and a data processing module, wherein the position coordinate calculation module is used for calculating the position coordinate of local traffic equipment by adopting a Kalman filtering method;
a position correction unit: and the method is used for correcting the position of the local traffic equipment according to the position coordinates and the combined networking positioning fusion method.
Further: the edge processing module includes:
an accident information processing unit: the system is used for determining a corresponding accident handling strategy according to the congestion event information; wherein the content of the first and second substances,
the accident handling strategy comprises an alarm strategy, a dredging strategy and a drainage strategy;
a path model building unit: the system is used for judging a local traffic state according to the local traffic network and an accident handling strategy and judging whether a persuasible line exists according to the local traffic state;
the guidance prompt building unit: and the method is used for carrying out unified grooming strategy formulation and drainage path planning through the combined networking when the groomable line exists, and generating a unified grooming strategy and a drainage path.
Further: the guidance prompt construction unit includes:
a collecting subunit: determining the running route of each traffic device in the local traffic devices according to the combined networking, and acquiring and preprocessing road data of a target scene to obtain a target data set; wherein the content of the first and second substances,
the target road data includes: road bifurcation information, road vehicle information and road operation rule information;
a matching subunit: importing the target data set into a matching model to generate a matching result; the matching result is drainage path matching and uniform dredging strategy matching;
a dredging unit: and when the matching result is of a sparse type, performing path planning according to corresponding target data to generate a target drainage path and generating a corresponding dredging strategy.
The invention has the beneficial effects that: the invention can judge the congestion event in the road, judge whether the accident exists, alarm when the accident exists, and carry out edge networking to combine a plurality of vehicles to carry out local vehicle drainage and guidance, thereby relieving the congestion caused by the traffic accident.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and drawings.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
fig. 1 is a block diagram of an intelligent traffic congestion edge management system according to an embodiment of the present invention;
FIG. 2 is a flowchart illustrating a congestion event template matching process according to an embodiment of the present invention;
fig. 3 is a block diagram of a networking unit according to an embodiment of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.
As shown in fig. 1, the present invention is an intelligent traffic jam edge management system, including an edge device installed on a traffic facility, the system including:
a scene acquisition module: the system comprises a traffic device, an edge device and a monitoring device, wherein the traffic device is used for acquiring surrounding scene information through the edge device on the traffic device when the traffic device is congested and judging whether a congestion event exists or not;
an accident analysis module: the system is used for carrying out scene analysis on the scene information when a congestion event exists, and determining congestion accident information;
an edge connection module: the edge device is used for carrying out local traffic equipment connection to form a local traffic network;
an edge processing module: and the traffic alarm system is used for giving an accident alarm through the local traffic network and generating drainage paths and guide prompt information of different traffic devices.
The principle of the technical scheme is as follows: the invention relates to a process for processing traffic jam aiming at accidents possibly occurring in traffic. Because the invention mainly judges the accidents in the road, when the traffic accidents exist, the invention judges what congestion events cause the congestion, namely what traffic accidents, possibly car accidents, possibly obstacles in the road are not processed by people, and possibly road maintenance is carried out. And then, forming a local guide network by linking nearby traffic equipment, and performing local path drainage and traffic dispersion, wherein because the invention is characterized in that each traffic equipment is provided with an edge device, edge accident treatment can be realized, guide prompt information of each vehicle is generated, and the vehicle is prompted to operate, and congestion is caused by the congestion event. The edge device of the invention, including the edge device mounted on the roof of the vehicle, may also be an edge device integrated in a navigation system.
The beneficial effects of the above technical scheme are that: the invention can judge the congestion event in the road, judge whether the accident exists, alarm when the accident exists, and carry out edge networking to combine a plurality of vehicles to carry out local vehicle drainage and guidance, thereby relieving the congestion caused by the traffic accident.
Further: the scene acquisition module comprises:
vehicle information acquisition unit: the system comprises a traffic device, an edge device and a control device, wherein the traffic device is used for connecting the traffic device through the edge device and acquiring real-time information of the traffic device; wherein the content of the first and second substances,
the real-time information includes: real-time speed information, average speed information, real-time position information and driving path information;
a scene acquisition unit: the system is used for acquiring scene data around the traffic equipment; wherein, the first and the second end of the pipe are connected with each other,
the scene data is mainly acquired based on sensing equipment and a camera device on the traffic equipment;
the scene data includes: the method comprises the following steps of (1) obtaining a surrounding scene image, surrounding vehicle distribution information and moving data of surrounding vehicles;
a congestion determination unit: the system comprises a real-time information acquisition module, a traffic jam judging module and a traffic jam judging module, wherein the traffic jam judging module is used for determining local vehicle data according to the real-time information and scene data and judging whether a traffic jam exists or not based on a traffic jam judging model; wherein the content of the first and second substances,
the local vehicle data includes: the local vehicle density data, the local vehicle average speed information and the running information of the local vehicle in the preset time;
congestion factor extraction means: the system is used for screening accident factors according to the scene image when the local congestion occurs, and judging whether a road accident exists or not;
congestion event determination unit: the method is used for determining accident characteristics of the road accident when the road accident exists, and determining the corresponding congestion event according to the accident characteristics.
The principle of the technical scheme is as follows:
the invention can collect scenes, wherein the scene collection comprises the collection of driving scenes and the collection of the state of the traffic equipment, the collected data are transmitted to the edge device, the collection of the scenes is to collect surrounding scene images through a camera device of the traffic equipment and collect images of vehicles, whether congestion events exist is judged, and whether congestion exists can be judged through the images and the moving state of the vehicles. The congestion event congestion judging model is a judging mechanism formed by preset congestion judging rules, and is used for judging whether the density of a vehicle exceeds a preset value or not, whether the speed of the vehicle is lower than the preset value or not and the like.
The beneficial effects of the above technical scheme are that: the method and the device can judge whether the congestion accident occurs or not by acquiring the scene image and the state of the vehicle, and can judge the reason why the congestion accident occurs.
Further: the congestion factor extraction unit includes:
determining a peripheral scene image according to the scene data;
splicing surrounding scene images to generate a local three-dimensional image;
setting gridding division conditions according to the local stereo image through a division reference of gridding division, dividing the local stereo image to generate a gridded image, and constructing an element data set corresponding to the current gridded image;
extracting scene elements within different meshes based on the element data set;
screening scene elements meeting the characteristic matching conditions in different grids in a preset scene database; wherein the content of the first and second substances,
the scene element database includes all scene elements;
the characteristic matching conditions comprise chromatographic matching, contour matching and geometric matching;
marking the scene elements which accord with the characteristic matching condition to generate a marking code;
according to the mark codes, a congestion judgment model based on the local stereo image is constructed;
calculating the weight value of each scene element in the congestion condition according to the congestion judgment model; wherein the content of the first and second substances,
the weight values represent congestion weights for different scene elements in a congestion environment;
and extracting congestion factors according to the weight values.
The principle of the technical scheme is as follows: according to the invention, the vehicle distribution around the vehicle is judged, so that the surrounding scene images are collected, and the surrounding images are not collected by the same camera device, so that image splicing is required to generate a local three-dimensional image. The method comprises the steps of generating a corresponding data set after a scene is gridded, judging congestion factors appearing in the scene, and judging the congestion factors through the congestion factors.
The beneficial effects of the above technical scheme are that: the method can judge congestion caused by any reason, and can realize quick positioning of congestion accident generation factors after gridding.
Further:
the congestion event determination unit determines the corresponding congestion event, and includes the following steps:
counting road congestion events in advance, and constructing a knowledge graph of the road congestion events;
determining event entity information of different road congestion events in a knowledge graph of the road congestion events;
obtaining a congestion identity entity associated with the event entity information of the road congestion event;
according to the congestion identity entity, determining position information associated with the congestion identity entity as congestion position information, and time information associated with the congestion position information as congestion time information; wherein the content of the first and second substances,
the congestion position information represents position information of an event entity of a road congestion event;
the congestion event information represents congestion time of a road congestion event;
defining N-level congestion position information according to the vehicle adjacency degree of the congestion position information, and defining M-level congestion time information according to the adjacency degree of the congestion time information, wherein N, M is a positive integer;
obtaining type information associated with the congestion identity entity according to the knowledge graph of the road congestion event; wherein the content of the first and second substances,
the knowledge graph of the road congestion event comprises congestion identity entities and type information, wherein the congestion identity entities are at least one, the type information at least comprises identity information, time information and position information, each congestion identity entity is respectively associated with one identity information, one time information and one position information, adjacent time information is associated, and adjacent position information is associated;
and determining a corresponding congestion event according to the identity information, the position information, the type information and the time information.
The principle of the technical scheme is as follows: the invention can count the road congestion events in advance, establish a knowledge map based on a neural network model, wherein the map has entity information of different congestion events, and the entity represents the generation reason of the congestion event, probably because of a vehicle of a traffic accident and probably because of a maintenance place of road maintenance. The congestion identity entity indicates that congestion is generated or the entity causing congestion is identity information. And the congestion position information is the source position of the congestion. The congestion time information is the time when the congestion occurs and the time when other vehicles are affected, and the duration of the congestion, including the future duration, and is determined according to the accident information. The invention has N-level congestion position information and M-level congestion time information, because at the time of causing congestion, vehicles with a plurality of vehicles may be damaged slightly, can be driven away, and some vehicles may be directly scrapped, so that different congestion levels exist, the level of congestion time information is the time of congestion of different accident vehicles, and the congestion time caused by scrapped vehicles is certainly the longest time. By the identity information, the position information, the type information and the time information, the accident can be clearly determined, the accident participants exist in the accident, and the exact position of the accident, so that specific information can be provided for how to deal with the accident.
The beneficial effects of the above technical scheme are that: the invention can determine what jam event is generated, and can also process the jam event to determine specific accident information, so that the accident can accurately participate in the specific contents of the accident under the fine granularity of the time and the type fine granularity.
Further:
the incident analysis module includes:
a model generation unit: the scene analysis module is used for acquiring scene data and analyzing scenes through the scene analysis module so as to generate a scene document;
a document decomposition unit: the system comprises a neural training model, a Word2Vec model and a scene document database, wherein the neural training model is used for analyzing the scene document based on the training of a road accident library so as to obtain a plurality of congestion event information, and is used for decomposing the information of the scene document so as to obtain scene global information and n elements corresponding to the scene document; wherein the content of the first and second substances,
the scene global information comprises distribution information of different elements in the scene global;
the n elements are all elements of congestion events;
an information vector generation unit: the device comprises a circulating neural network, a scene global information processing unit, a scene information processing unit and a scene information processing unit, wherein the circulating neural network is used for processing the scene global information through a preset circulating neural network to generate an information vector of the scene global information, and the circulating neural network is used for processing n elements of the information vector to generate an element information vector;
an event information extraction unit: the system comprises a cyclic neural network, a congestion event content summary and a congestion event information determination module, wherein the cyclic neural network is used for processing element information vectors to generate a congestion event content summary, and the congestion event information is determined according to the congestion event content summary;
an accident determination unit: and the congestion event information is matched with a preset congestion event template to determine corresponding congestion accident information.
The principle of the technical scheme is as follows: when the invention carries out the concrete analysis and processing of the accident, the best method needs to be determined, namely the concrete information of the accident is accurately determined in the form of characters, and the image can only determine the surface information, so the invention generates a scene document, then obtains the concrete information of the congestion event through the analysis of a neural training model, and the concrete information comprises global information and different elements distributed in the scene, wherein the elements comprise elements causing congestion and non-congestion elements, and finally determines the concrete congestion accident information in the form of vectors and the matching of an event template.
The beneficial effects of the above technical scheme are that: the participation vector of congestion caused by different elements, namely the participation degree of the congestion in the accident can be firstly determined by means of the vector and the template, and the template matching can determine specific accident information.
Further:
the accident determination unit matches the congestion event information with a preset congestion event template, and comprises the following steps:
performing event analysis on the congestion event information through a preset congestion event analysis rule, and determining a regular expression set; wherein the content of the first and second substances,
the congestion event resolution rule at least comprises the following steps: the method comprises the steps of analyzing a congestion event type rule, a congestion event feature analysis rule, a congestion event element analysis rule and an attribute analysis rule of a template matching item;
matching the congestion event information with each regular expression in the regular expression set of the congestion event template one by one, and determining a target regular expression which is successfully matched with the event information; wherein the content of the first and second substances,
the one-by-one matching comprises:
under the condition that a regular expression comprising an exclusion item exists in the regular expression set of the congestion event template, matching the congestion event information with the regular expression without the exclusion item; wherein the content of the first and second substances,
the exclusion item is determined based on the congestion event analysis rule, and comprises event types, event characteristics, event elements and attributes of template matching items;
under the condition that the congestion event information and the congestion event template are successfully matched, determining a target regular expression which is successfully matched with the event information from the regular expressions comprising the exclusion items;
and acquiring congestion accident information corresponding to the congestion event information based on the target regular expression.
The principle of the technical scheme is as follows: as shown in fig. 2, the present invention can determine what event occurs by matching event information with a preset event template, and determine that the regular expression is a regular expression composed of feature quantities of different analysis rules during event analysis in the specific matching process of specific event information, and is in a form of event parameterization because the specific information of the vehicle is also parameterized, and event processing is easier to perform, and the regular expression set is because each rule has a corresponding regular expression. The reason for one-by-one matching is that matching parameters of different regular expressions can be accurately determined, information quantification of congestion events can be achieved, the influence degree of congestion is judged, whether the congestion events are major accidents or minor accidents is judged, and the influence time of the accidents is indirectly judged.
The beneficial effects of the above technical scheme are that: the invention can carry out matching judgment on the events and determine the specifically appeared event information.
Further:
the edge connection module includes:
an apparatus information acquisition unit: the device identification of the current traffic equipment is obtained according to the device parameters of the edge device of the current traffic equipment, and the corresponding first configuration parameter information is matched according to the device identification; wherein the content of the first and second substances,
the first configuration parameter information is communication configuration information of traffic equipment;
an edge device information acquisition unit: acquiring second configuration parameter information of the edge device;
the second configuration parameter information is communication configuration information of the edge device;
a node information acquisition unit: the system comprises a first configuration parameter information module, a second configuration parameter information module, a node feature module and a node address module, wherein the first configuration parameter information module is used for acquiring connection configuration information of the current traffic equipment and the edge device according to the first configuration parameter information and the second configuration parameter information, generating a combined connection node, determining the node feature and generating a first address parameter of the node;
a matching unit: for matching peripheral other edge devices by the edge device and determining second address parameters of the other edge devices;
a networking unit: and the local traffic network is generated by performing combined networking on the edge device of the current traffic equipment and the edge devices of the surrounding vehicles according to the first address parameter and the second address parameter.
The principle of the technical scheme is as follows: the invention can connect different traffic devices through the edge device, then connect different traffic devices at the periphery through the edge device, the configuration parameter information is communication information, namely how to realize the communication connection generation node is that each traffic device is a node, the joint networking can be realized, the joint networking of different traffic devices can be realized, when the joint networking is generated, the local traffic information sharing can be realized, after the traffic information sharing, the reasonable planning of a road can be realized according to the information collected by different vehicles, all the vehicles can more quickly pass through accident sites, the congestion is reduced, and the alarm can be given.
The beneficial effects of the above technical scheme are that: the invention can generate a local traffic network, realize communication connection among different traffic devices and realize resident route planning.
Further: the networking unit includes:
a signal azimuth subunit: the system is used for calculating the azimuth angle of the signal from the current traffic equipment to other edge devices according to the address parameters;
a distance calculation subunit: the distance between the current traffic equipment and other edge devices is calculated according to the address parameters;
local movement determination subunit: the system comprises a joint networking module, a local traffic equipment and a local traffic equipment, wherein the joint networking module is used for determining the movement information of the current traffic equipment and the peripheral traffic equipment according to the joint networking;
the model equation construction subunit: the system is used for establishing a motion model and a relative state equation based on the local transportation equipment movement characteristics and the joint networking positioning; wherein the content of the first and second substances,
the relative state equation is a measurement equation established by the distance from the current traffic equipment to the edge devices of other traffic equipment and the signal azimuth angle;
a coordinate filtering unit: the system comprises a position sensor, a position sensor and a controller, wherein the position sensor is used for calculating position coordinates of local traffic equipment by adopting a Kalman filtering method;
a position correction unit: and the method is used for correcting the position of the local traffic equipment according to the position coordinates and the combined networking positioning fusion method.
The principle of the technical scheme is as follows: as shown in fig. 3, in the networking process of the present invention, mainly based on address parameters, the signal azimuth can determine the azimuth direction of different vehicles relative to the current vehicle, and after the distance and the azimuth are determined, the azimuth of different transportation devices can be determined, so as to implement data sharing, the movement characteristic of the local transportation device is the tendency of local movement, and the basis of path planning and traffic dispersion is performed in the motion model and the relative state equation, the kalman filtering method is a process calculation method, so as to implement the optimal survival, that is, the most accurate calibration of the position coordinates, which belongs to the coordinates obtained by scene analysis, and the position correction and networking positioning fusion method is to obtain a network position coordinate, and an accurate position coordinate can be obtained by the network coordinate and the scene analysis coordinate.
The beneficial effects of the above technical scheme are that: the invention can realize the combined networking of different edge devices, position calibration of different traffic equipment and position analysis, thereby realizing more accurate unified dredging and drainage.
Further:
the edge processing module includes:
an accident information processing unit: the system is used for determining a corresponding accident handling strategy according to the congestion event information; wherein the content of the first and second substances,
the accident handling strategy comprises an alarm strategy, a dredging strategy and a drainage strategy;
a path model building unit: the system is used for judging a local traffic state according to the local traffic network and an accident handling strategy and judging whether a persuasible line exists according to the local traffic state;
a guidance prompt construction unit: and the method is used for carrying out unified grooming strategy formulation and drainage path planning through the combined networking when the groomable line exists, and generating a unified grooming strategy and a drainage path.
The principle of the technical scheme is as follows: the method determines corresponding processing strategies according to specific accident information, and in the process, the strategies comprise three strategies, namely an alarm strategy, a dredging strategy and a drainage strategy; because there may be a canalable route or none after an accident, the present invention mainly generates a unified canalable strategy and a drainage path when there is a canalable route. The unified dredging strategy and the drainage path are an integral dredging strategy and drainage strategy of all local vehicles.
The beneficial effects of the above technical scheme are that: can alleviate because the jam that traffic accident produced dredges, dredge the drainage of carrying on that can the drainage dredges, can not the drainage dredges report to the police, certainly in prior art, most traffic jams all can realize the drainage and dredges, and the drainage is dredged and also can prevent other accidents of reoccurrence.
Further: the guidance prompt construction unit includes:
a collecting subunit: determining the running route of each traffic device in the local traffic devices according to the combined networking, and acquiring and preprocessing road data of a target scene to obtain a target data set; wherein, the first and the second end of the pipe are connected with each other,
the target road data includes: road bifurcation information, road vehicle information and road operation rule information;
a matching subunit: importing the target data set into a matching model to generate a matching result; the matching result is drainage path matching and unified leading strategy matching;
a dredging unit: and when the matching result is of a sparse type, performing path planning according to the corresponding target data to generate a target drainage path, and generating a corresponding dredging strategy.
The principle of the technical scheme is as follows: in the process of determining the unified dredging strategy and the drainage path, the method conducts guiding matching of the target data through the road route, and then generates the corresponding guiding strategy and path. The preprocessing is the division and extraction processing of target data, and the matching models are models of a drainage path and a dredging strategy, and the models are obtained through the neural network model processing. The neural network models of the invention are all traffic-based neural network models. The sparse type represents that the maximum congestion processing effect can be achieved by the minimum path planning and drainage strategy, namely when the matching value of the matching result is higher.
The beneficial effects of the above technical scheme are that: the invention can generate different equipment guide paths and can realize path drainage.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (8)
1. An intelligent traffic jam edge management system including an edge device mounted on a piece of traffic equipment, the system comprising:
a scene acquisition module: the system is used for acquiring surrounding scene information through an edge device on the traffic equipment when the traffic equipment is jammed and judging whether a jam event exists or not;
an accident analysis module: the system comprises a scene analysis module, a traffic information module and a traffic information module, wherein the scene analysis module is used for analyzing the scene information when a congestion event exists and determining congestion accident information;
an edge connection module: the edge device is used for carrying out local traffic equipment connection to form a local traffic network;
an edge processing module: the local traffic network is used for alarming accidents and generating drainage paths and guidance prompt information of different traffic devices;
the incident analysis module includes:
a model generation unit: the scene analysis module is used for acquiring scene data and analyzing scenes through the scene analysis model so as to generate a scene document;
a document decomposition unit: the system comprises a neural training model, a Word2Vec model and a scene document database, wherein the neural training model is used for analyzing the scene document based on the training of a road accident library so as to obtain a plurality of congestion event information, and is used for decomposing the information of the scene document so as to obtain scene global information and n elements corresponding to the scene document; wherein the content of the first and second substances,
the scene global information comprises distribution information of different elements in the scene global;
the n elements are all elements of a congestion event;
an information vector generation unit: the system comprises a preset cyclic neural network, an element information vector and a scene global information vector, wherein the preset cyclic neural network is used for processing the scene global information to generate an information vector of the scene global information, and the cyclic neural network is used for processing n elements of the information vector to generate an element information vector;
an event information extraction unit: the system comprises a cyclic neural network, a congestion event content summary and a congestion event information determination module, wherein the cyclic neural network is used for processing element information vectors to generate a congestion event content summary, and the congestion event information is determined according to the congestion event content summary;
an accident determination unit: the congestion event information is matched with a preset congestion event template to determine corresponding congestion event information;
the scene acquisition module comprises:
vehicle information acquisition unit: the system comprises a traffic device, an edge device and a server, wherein the traffic device is used for being connected with the edge device and acquiring real-time information of the traffic device; wherein the content of the first and second substances,
the real-time information includes: real-time speed information, average speed information, real-time position information, and travel path information;
a scene acquisition unit: the system is used for acquiring scene data around the traffic equipment; wherein the content of the first and second substances,
the scene data includes: the method comprises the following steps of (1) obtaining a surrounding scene image, surrounding vehicle distribution information and movement data of surrounding vehicles;
a congestion determination unit: the system is used for determining local vehicle data according to the real-time information and the scene data, and judging whether congestion exists or not based on a congestion judgment model; wherein the content of the first and second substances,
the local vehicle data includes: the local vehicle density data, the local vehicle average speed information and the running information of the local vehicle in the preset time;
congestion factor extraction means: the system is used for screening accident factors according to the scene image when the local congestion occurs, and judging whether a road accident exists or not;
congestion event determination unit: the method is used for determining accident characteristics of the road accident when the road accident exists, and determining the corresponding congestion event according to the accident characteristics.
2. The system as claimed in claim 1, wherein the congestion factor extraction unit comprises the following extraction steps:
determining a peripheral scene image according to the scene data;
splicing surrounding scene images to generate a local three-dimensional image;
setting gridding division conditions according to the local stereo image through a division reference of gridding division, dividing the local stereo image to generate a gridded image, and constructing an element data set corresponding to the current gridded image;
extracting scene elements within different meshes based on the element data set;
screening scene elements which accord with feature matching conditions in different grids in a preset scene database; wherein the content of the first and second substances,
the scene database includes all scene elements;
the characteristic matching conditions comprise chromatographic matching, contour matching and geometric matching;
marking the scene elements which accord with the characteristic matching condition to generate a marking code;
according to the mark codes, a congestion judgment model based on the local stereo image is constructed;
calculating the weight value of each scene element in the congestion condition according to the congestion judgment model; wherein, the first and the second end of the pipe are connected with each other,
the weight values represent congestion weights for different scene elements in a congestion environment;
and extracting congestion factors according to the weight values.
3. The intelligent traffic congestion edge management system according to claim 1, wherein the congestion event determination unit determining the corresponding congestion event comprises the steps of:
counting road congestion events in advance, and constructing a knowledge graph of the road congestion events;
determining event entity information of different road congestion events in a knowledge graph of the road congestion events; obtaining a congestion identity entity associated with the event entity information of the road congestion event;
according to the congestion identity entity, determining position information associated with the congestion identity entity as congestion position information, and time information associated with the congestion position information as congestion time information; wherein the content of the first and second substances,
the congestion position information represents position information of an event entity of a road congestion event;
the congestion time information represents congestion time of a road congestion event;
defining N-level congestion position information according to the vehicle adjacency degree of the congestion position information, and defining M-level congestion time information according to the adjacency degree of the congestion time information, wherein N, M is a positive integer;
obtaining type information associated with the congestion identity entity according to the knowledge graph of the road congestion event; wherein the content of the first and second substances,
the knowledge graph of the road congestion event comprises congestion identity entities and type information, wherein the congestion identity entities are at least one, the type information at least comprises identity information, time information and position information, each congestion identity entity is respectively associated with one identity information, one time information and one position information, adjacent time information is associated, and adjacent position information is associated;
and determining a corresponding congestion event according to the identity information, the position information, the type information and the time information.
4. The intelligent traffic congestion edge management system according to claim 1, wherein the accident determination unit matches the congestion event information with a preset congestion event template, comprising the steps of:
performing event analysis on the congestion event information through a preset congestion event analysis rule, and determining a regular expression set; wherein the content of the first and second substances,
the congestion event resolution rule at least comprises the following steps: the method comprises the steps of analyzing a congestion event type rule, a congestion event feature analysis rule, a congestion event element analysis rule and an attribute analysis rule of a template matching item;
matching the congestion event information with each regular expression in the regular expression set of the congestion event template one by one, and determining a target regular expression which is successfully matched with the event information; wherein the content of the first and second substances,
the one-by-one matching includes:
under the condition that a regular expression comprising an exclusion item exists in the regular expression set of the congestion event template, matching the congestion event information with the regular expression without the exclusion item; wherein the content of the first and second substances,
the exclusion item is determined based on the congestion event analysis rule, and comprises event types, event features, event elements and attributes of template matching items;
under the condition that the congestion event information and the congestion event template are successfully matched, determining a target regular expression which is successfully matched with the event information from the regular expressions comprising the exclusion items;
and acquiring congestion accident information corresponding to the congestion event information based on the target regular expression.
5. The system of claim 1, wherein the edge connection module comprises:
an apparatus information acquisition unit: the device identification of the current traffic equipment is obtained according to the device parameters of the edge device of the current traffic equipment, and the corresponding first configuration parameter information is matched according to the device identification; wherein the content of the first and second substances,
the first configuration parameter information is communication configuration information of traffic equipment;
an edge device information acquisition unit: acquiring second configuration parameter information of the edge device;
the second configuration parameter information is communication configuration information of the edge device;
a node information acquisition unit: the system comprises a first configuration parameter information module, a second configuration parameter information module, a node feature module and a node address module, wherein the first configuration parameter information module is used for acquiring connection configuration information of the current traffic equipment and the edge device according to the first configuration parameter information and the second configuration parameter information, generating a combined connection node, determining the node feature and generating a first address parameter of the node;
a matching unit: for matching peripheral other edge devices by the edge device and determining second address parameters of the other edge devices;
a networking unit: and the local traffic network is generated by performing combined networking on the edge device of the current traffic equipment and the edge devices of the surrounding vehicles according to the first address parameter and the second address parameter.
6. The system of claim 5, wherein the networking unit comprises:
a signal azimuth subunit: the system is used for calculating the azimuth angle of the signal from the current traffic equipment to other edge devices according to the address parameters;
a distance calculation subunit: the distance between the current traffic equipment and other edge devices is calculated according to the address parameters;
local movement determination subunit: the system is used for determining the movement information of the current traffic equipment and the surrounding traffic equipment according to the combined networking and determining the movement characteristics of local traffic equipment;
a model equation construction subunit: the system is used for establishing a motion model and a relative state equation based on the local transportation equipment movement characteristics and the joint networking positioning; wherein, the first and the second end of the pipe are connected with each other,
the relative state equation is a measurement equation established by the distance from the current traffic equipment to the edge devices of other traffic equipment and the signal azimuth angle;
a coordinate filtering unit: the system comprises a position sensor, a position sensor and a controller, wherein the position sensor is used for calculating position coordinates of local traffic equipment by adopting a Kalman filtering method;
a position correction unit: and the method is used for correcting the position of the local traffic equipment according to the position coordinates and the combined networking positioning fusion method.
7. The system of claim 6, wherein the edge processing module comprises:
an accident information processing unit: the system is used for determining a corresponding accident handling strategy according to the congestion event information; wherein the content of the first and second substances,
the accident handling strategy comprises an alarm strategy, a dredging strategy and a drainage strategy;
a path model building unit: the system is used for judging a local traffic state according to the local traffic network and an accident handling strategy and judging whether a persuasible line exists according to the local traffic state;
a guidance prompt construction unit: and the method is used for carrying out unified grooming strategy formulation and drainage path planning through the combined networking when the groomable line exists, and generating a unified grooming strategy and a drainage path.
8. The system of claim 7, wherein the guidance prompt construction unit comprises:
a collecting subunit: determining the running route of each traffic device in the local traffic devices according to the combined networking, and acquiring and preprocessing road data of a target scene to obtain a target data set; wherein the content of the first and second substances,
the target road data includes: road bifurcation information, road vehicle information and road operation rule information;
a matching subunit: importing the target data set into a matching model to generate a matching result; the matching result is drainage path matching and uniform dredging strategy matching;
a dredging unit: and when the matching result is of a sparse type, performing path planning according to corresponding target data to generate a target drainage path, and generating a corresponding dredging strategy.
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