23 results about "Traffic law enforcement" patented technology

The invention discloses a traffic comprehensive law enforcement situation awareness, study and judgment system based on big data and cloud computing, and relates to the technical field of traffic law enforcement management. The problem that a traffic law enforcement platform based on edge calculation has calculation and storage bottlenecks and cannot timely and accurately recognize novel and rare traffic illegal behaviors when dealing with extremely complex traffic scenes and mass data is solved. According to the invention, the law enforcement scene and the vehicle abnormal condition are identified through data collected by various devices, illegal behaviors are identified and early warned in time by combining audio and video analysis, the law enforcement accuracy and efficiency are improved, the road safety and the market order are guaranteed, the traffic law enforcement situation model carries out clustering analysis on traffic data, a visual situation map is generated, and law enforcement decision is assisted. Resource configuration is optimized, illegal trend is predicted, a targeted scheme is formulated, law enforcement scientificity is improved, the system is optimized by analyzing feedback information of law enforcement officers, key information is pushed in real time, collaborative law enforcement is promoted, and comprehensive law enforcement efficiency is improved.

The invention discloses a digital traffic law enforcement insight engine and research and judgment platform based on edge calculation, relates to the technical field of digital traffic law enforcement, and aims to solve the problem that the judgment and decision-making efficiency of transportation illegal behaviors is not high. Through information association and verification, the accuracy and integrity of data are ensured, reliable standard traffic research and judgment data are provided for a traffic and transportation comprehensive administrative law enforcement agency, more efficient decision making and execution are supported, the platform can automatically perform data extraction, fusion, association and verification, manual intervention is reduced, the management efficiency is improved, and the management cost is reduced. The platform reduces the workload of manual intervention and analysis through an automatic research and judgment process and intelligent analysis, improves the efficiency and accuracy of decision support, and further improves the processing efficiency and speed through GPU acceleration calculation of an AI chip, so that the system can meet the real-time processing requirements of large-scale data streams. And a data processing flow and an analysis model can be adjusted according to actual requirements.

The invention discloses a traffic law enforcement virtual simulation training method based on a dynamic scene and cognitive evaluation, and the method comprises the steps: generating an initialization parameter according to a trainee portrait and a training target, and driving an emergence type scene generation engine to synthesize a dynamic three-dimensional virtual training scene containing composite illegal elements; in scene operation, multi-modal interaction behaviors and physiological response data of the trainees are synchronously collected to form a data stream; through real-time analysis of the data flow, a cognitive behavior analysis report for evaluating attention, cognitive load and decision intention is generated; constructing a space-time knowledge graph based on the student operation sequence, performing automatic reasoning and contradiction detection in combination with formalized legal rules, and outputting an evidence chain logic verification result; and fusing the report and the result to carry out multi-dimensional weighted evaluation, and generating a comprehensive score and personalized feedback. According to the method, normal form transformation from preset process training to open cognitive evaluation is realized, and the authenticity, pertinence and evaluation depth of training are improved.

The invention discloses an artificial intelligence multispectral sensing mobile illegal parking automatic evidence obtaining device and method, and belongs to the technical field of intelligent traffic management. The equipment integrates a multispectral sensing unit, a positioning and posture sensing unit, an edge computing unit, a data management and interaction unit and a mobile platform. The system has the beneficial effects that the law enforcement coverage range is expanded through the mobile platform, the detection limitation of severe environments such as night, rain and fog is overcome by means of a multispectral sensing technology, and the full-process automation of vehicle detection, illegal parking judgment and automatic evidence obtaining is realized by utilizing an artificial intelligence algorithm; the problems that a traditional fixed electronic police is limited in coverage range and low in manual patrol efficiency and evidence obtaining of a single sensor is restricted by the environment are solved, all-directional, all-time and automatic illegal parking accurate evidence obtaining is achieved, and the traffic law enforcement efficiency and the management level are remarkably improved.

The application discloses a traffic law enforcement resource scheduling method and system based on multi-source real-time data, which comprises the following steps: acquiring multi-source real-time data, wherein the multi-source real-time data at least comprises law enforcement task data, law enforcement resource data and environmental support data; pre-processing and fusing the multi-source real-time data to construct a standardized scheduling data resource pool; based on the scheduling data resource pool, structurally analyzing the law enforcement task and determining a task priority sequence; based on the scheduling data resource pool, constructing a dynamic portrait of law enforcement resources; inputting the task priority sequence and the dynamic portrait into a preset intelligent scheduling decision model, and performing multi-objective optimization calculation combined with law enforcement compliance constraint conditions to generate a target scheduling scheme; and outputting the target scheduling scheme to perform dynamic scheduling of law enforcement resources. The traffic law enforcement resource is accurately matched, quickly responded and compliantly scheduled in a dynamic scene, and the law enforcement disposal efficiency and resource utilization rate are significantly improved.

The invention discloses an off-site comprehensive risk assessment method and system for an overloaded vehicle and a storage medium thereof, and relates to the field of intelligent traffic law enforcement. The method comprises the following steps: firstly, collecting multi-source data when a vehicle passes through a monitoring area, wherein the multi-source data comprises weight data of at least two weighing sensors, vehicle running speed and transverse offset; performing weighted fusion on the weight data based on the confidence coefficient weight of each sensor to obtain an actually measured weight and an overload weight; respectively calculating a speed penalty factor and an offset penalty factor according to the vehicle speed and the offset; and substituting the overload weight and the two penalty factors into the comprehensive scoring model to obtain a quantitative comprehensive risk score S. And S is compared with a preset risk threshold value, whether the vehicle has a high-risk overload behavior or not is judged, and off-site electronic evidence containing complete data is automatically generated. According to the method, single overload judgment is converted into multi-dimensional risk assessment fusing weight, speed and attitude, and quantification and refinement of law enforcement basis are achieved.

It is an object of the present invention to provide a predictive traffic law enforcement profiler apparatus and method which incorporates a means to determine current location, time, velocity and also incorporates a means to utilize a database derived from historic traffic law enforcement records, crowd sourced records and historical traffic data and also incorporates a predictive processing means to provide historic traffic law enforcement records and estimates of enforced speed limits and enforcement profiles, patrol locations and schedules of traffic law enforcement to a driver.

The invention provides an expressway remote monitoring method based on the Internet of Things, and the method comprises the steps: obtaining an abnormal traffic state on an expressway, and marking the abnormal traffic state; acquiring video recording equipment in an abnormal traffic state influence range on the expressway; and the emergency lane is photographed through photographing equipment, and the behavior of illegally occupying the emergency lane for driving is uploaded to the platform. The method has higher efficiency and whole-course coverage for the behavior of illegally occupying the emergency lane for driving during highway traffic jam, can effectively solve the problem of insufficient coverage of single-point snapshot of a snapshot camera occupied by the emergency lane, and fully and reasonably utilizes the existing social resources. And the burden of a traffic law enforcement management department is hardly increased.

The invention relates to the technical field of traffic law enforcement, in particular to a vehicle-mounted voice recognition law enforcement linkage system and method based on edge calculation. A data storage unit; a voice acquisition unit; the analysis unit determines law enforcement regulations of the current law enforcement area, obtains law enforcement intentions in the voice information, identifies and confirms a law enforcement target according to the law enforcement intentions and law enforcement scenes, and determines a current law enforcement type according to the law enforcement regulations, the law enforcement intentions, the law enforcement scenes and the law enforcement target. Obtaining a standardized operation guide corresponding to the current law enforcement type, pushing related typical cases, and sending an equipment control code according to the standardized operation guide; an equipment linkage unit; and an evidence chain management module. According to the invention, through linkage of voice recognition and equipment, automatic control based on voice information can be realized, a plurality of manual operation links in traditional law enforcement are integrated into a one-button flow triggered by voice information, the operation time is reduced, and the practicability is improved.

The invention discloses an urban road high-risk rider and pedestrian illegal behavior identification and early warning method and system, and belongs to the technical field of intelligent traffic management. The method comprises the following steps: collecting multi-modal data of a road intersection in real time; identifying illegal behaviors based on the data, and carrying out identity identification on illegal individuals or groups; and generating an early warning strategy based on the identification result and the identity label and executing directional early warning. The system comprises a sensing module, an analysis decision module and an early warning execution module. According to the method, the problems of response lag, inaccurate early warning, data island and lack of pre-judgment ability in the prior art are solved, the conversion from post-event evidence obtaining to pre-event prevention is realized, the timeliness and effectiveness of traffic violation intervention are remarkably improved through accurate identification and collaborative early warning, and meanwhile, data support is provided for traffic management decision making. The method is suitable for wide popularization and application in traffic management.

The present application relates to the technical field of intelligent transportation, in particular to a method and system for intelligent judgment of low-altitude parking violation target based on deep learning. It includes: traffic flow field anomaly diagnosis step, unmanned aerial vehicle collects road video data, generates vehicle motion vector field, and autonomously determines traffic obstruction area; obstruction root space-time backtracking step, through the attention network of stop state propagation graph and reverse propagation graph, the initial stationary vehicle as the obstruction root is locked; parking violation influence quantification and comprehensive judgment step, the additional traffic delay quantification index is calculated and whether parking violation is judged comprehensively according to the spatial relationship; dynamic causal evidence chain generation step, encapsulating the structured evidence file containing traffic flow evolution process, space-time backtracking path and quantification index. The present application realizes the paradigm upgrade from "passive single-point detection" to "active obstruction source tracing", greatly improves the intelligent level and disposal efficiency of low-altitude traffic law enforcement.

This application relates to the field of intelligent transportation technology and discloses an intelligent identification and evidence collection system for traffic violations based on multimodal fusion perception. The system includes an edge sensing terminal, which uses a synchronous control module to achieve hardware synchronous acquisition of multimodal sensors. A data processing module performs spatiotemporal alignment of the acquired data and performs cross-modal correlation and fusion tracking of the target to generate a high-precision fused motion trajectory. Finally, the trajectory is compared with a digital road traffic rule model to determine the violation. This invention solves the technical problems of low accuracy and susceptibility to false alarms and missed detections caused by single sensors in complex scenarios such as adverse weather and target occlusion. It can generate highly credible multi-dimensional structured evidence, significantly improving the automation level and credibility of traffic law enforcement.

The application provides a kind of based on AI Agent's wisdom traffic law enforcement cooperation method, system and medium, according to multi-source detection task information, through multimodal fusion model output illegal coefficient, combined with historical illegal records, obtain law enforcement task list;Based on dynamic radius algorithm, according to multi-source road condition information, get the radius of control circle, combined with law enforcement task list, generate dispatch list, for generating and pushing optimal path;Based on the image of law enforcement instrument, identify risk information and trigger risk warning;Combined with law enforcement instrument voice, judge opening speech and defense volume, trigger law enforcement early warning;Through AI Agent, analyze multi-source data, perform resource elastic scheduling, solve the problem of information silos, response lag, process flaws in traditional traffic law enforcement, realize from passive disposal to active management.

The utility model provides a portable multifunctional traffic transportation law enforcement detection box, and relates to the field of traffic transportation law enforcement. The portable multifunctional traffic transportation law enforcement detection box comprises a detection box body and a plurality of clamps, the detection box body comprises two double box bodies, the two double box bodies are connected through a connecting assembly, an integrated isolation belt is installed between the two double box bodies, and the two ends of the isolation belt make contact with the two clamps respectively; according to the portable multifunctional traffic transportation law enforcement detection box, the detection box body is compact in structure, under the condition that the loading capacity is increased, space can be saved, the isolation belt can isolate the clamp, the protection effect is achieved, the probability that a detection instrument in the clamp is damaged is reduced, and when the detection box body is used, the detection box body can be separated from the ground and prevented from being polluted; and the isolation belt can be separated from the clamp and cooperates with the detection box main body to form a stable structure, so that the stability of taking the instrument is improved.

The invention provides an AI Agent-based intelligent traffic law enforcement cooperation method and system and a medium, and the method comprises the steps: outputting law violation coefficients through a multi-modal fusion model according to multi-source detection task information, and obtaining a law enforcement task list in combination with historical law violation records; based on a dynamic radius algorithm, according to the multi-source road condition information, obtaining a deployment and control circle radius, and combining a law enforcement task list to generate a scheduling list for generating and pushing an optimal path; identifying risk information and triggering risk warning based on the law enforcement instrument image; in combination with the law enforcement instrument voice, the field opening voice and the declaration volume are judged, and law enforcement early warning is triggered; multi-source data are analyzed through the AI Agent, resource flexible scheduling is executed, the problems of information islands, response lag and program flaws in traditional traffic law enforcement are solved, and passive disposal is changed into active treatment.

The invention relates to a vehicle-mounted motor vehicle road violation recognition instrument, and relates to the technical field of intelligent traffic. The device comprises a camera module integrated with a wide-angle lens and an infrared light supplement unit, wherein the camera module supports 1080P and 30fps high-definition video acquisition and dynamic exposure adjustment; the multi-band GPS / Beidou positioning module and the 9-axis IMU cooperate to realize continuous positioning; a deep learning algorithm module based on a CNN-RNN hybrid model accurately judges violation behaviors such as retrograde driving, lane changing without turning on a steering lamp, solid line lane changing and the like through YOLO target detection, FastSAM lane line segmentation and CRNN license plate recognition technologies; and a 4G / 5G and block chain encrypted data uploading module is arranged, so that reliable transmission of violation evidence packets is realized. According to the invention, a multi-modal data fusion mechanism is innovatively adopted, and a vehicle-mounted power supply and standby battery intelligent switching system is combined, so that all-weather violation monitoring can be realized in a complex road environment, high-confidence structured evidence is provided for traffic law enforcement, and violation identification accuracy and evidence chain integrity are effectively improved.

The application discloses a kind of off-site comprehensive risk assessment method, system and its storage medium of overloaded vehicle, it is related to intelligent traffic law enforcement field.The method first collects the multi-source data of vehicle when passing through monitoring area, including the weight data of at least two weighing sensors, vehicle speed and lateral offset.According to the confidence weight of each sensor, the weight data is weighted and fused to obtain the measured weight and overload weight;According to the speed and offset, the speed penalty factor and offset penalty factor are calculated respectively.The overload weight and two penalty factors are substituted into the comprehensive score model to obtain the quantitative comprehensive risk score S.By comparing S with the preset risk threshold, it is determined whether the vehicle has high-risk overload behavior, and the off-site electronic evidence containing complete data is automatically generated.The application changes the single "overload or not" judgment into a multi-dimensional risk assessment that integrates weight, speed and attitude, and realizes the quantification and refinement of law enforcement basis.

The invention provides a noise detection system, which comprises a vehicle-mounted detection unit, a server and a mobile terminal, and is characterized in that whether whistling noise is generated around a deployed vehicle is detected through the vehicle-mounted detection unit deployed on the vehicle, and when the whistling noise around the deployed vehicle is detected, the server sends the whistling noise to the mobile terminal; the distance between the deployment vehicle and the whistling noise source vehicle is measured, the whistling noise source vehicle image is shot, the server identifies the whistling noise source vehicle according to the whistling noise source vehicle image, whistling noise source vehicle information is obtained, whistling noise event information is further generated, and the whistling noise event information is sent to the deployment vehicle. And the whistling noise event information is sent to a traffic law enforcement department, so that the violation whistling monitoring range is expanded, the violation whistling phenomenon is restrained, the civilized driving habit of a driver is cultivated, noise pollution is reduced, and the life quality of residents and the overall image of a city are improved.

The utility model provides a mobile law violation snapshot recognition device, which relates to the technical field of traffic law enforcement equipment and comprises a mounting seat, an adjusting support is fixedly connected to the center of the top of the mounting seat, and a snapshot equipment body is slidably connected to the outer surface of the adjusting support. Four snapshot probes are fixedly connected to the outer surface of the snapshot device body in an annular array mode. The first motor drives the first screw to rotate, the lifting sliding plate slides up and down along the supporting column through thread transmission, and then the snapshot device body is driven to move vertically; meanwhile, a second motor drives a transmission wheel to rotate, so that a transmission gear ring drives the snapshot equipment main body to horizontally rotate, the vertical height and the horizontal angle of the snapshot equipment main body are accurately adjusted, the snapshot equipment can quickly adapt to complex road conditions such as viaducts and intersections, shooting blind areas are effectively eliminated, the shooting range is greatly expanded, and the shooting efficiency is improved. The snapshot device main body is more flexible and efficient to use, and the comprehensiveness of traffic violation snapshot is remarkably improved.

The utility model relates to the technical field of traffic law enforcement equipment boxes, and discloses an intelligent multipurpose integrated traffic law enforcement equipment box which comprises a supporting base rod and an equipment box body, a movable rod is movably installed at the top end of the supporting base rod, a first sleeve is fixedly arranged at the top end of the movable rod in a sleeved mode, and a connecting rod is fixedly installed at one side end of the first sleeve. A second sleeve is fixedly installed at the bottom end of the supporting base rod, a supporting bottom plate is fixedly installed at the side end of the second sleeve, dampers are installed at the top end of the supporting bottom plate in an array mode, the outer walls of the dampers are sleeved with damping springs, and supporting plates are fixedly installed at the top ends of the dampers. According to the intelligent multi-purpose integrated traffic law enforcement equipment box, by arranging the supporting base rod, the moving rod and the operation plate, the equipment box can be conveniently supported and operated, the equipment box can be prevented from being directly placed on the ground, meanwhile, by arranging a damper, a damping spring and a protection plate, the equipment box can be conveniently protected, and the applicability of the equipment box is improved.

The utility model relates to the technical field of warning devices, and discloses a traffic law enforcement acousto-optic warning barrel which comprises a supporting assembly, an auxiliary assembly fixedly connected to the top of the supporting assembly, a fixing pin in threaded connection with the surface of the auxiliary assembly, a fixing rod slidably connected to the interior of the auxiliary assembly, and a reminding assembly fixedly connected to the top of the fixing rod. When a vehicle breaks down, the device is placed behind the vehicle, a user screws out the two sets of bolts from the second threaded grooves in the tops of the two sets of reminding plates, relieves fixing of the reminding plates, then pinches one sides of the reminding plates, pulls the reminding plates out of the moving grooves, screws the bolts into the other set of second threaded grooves in the tops of the reminding plates, and then the reminding plates are fixed. When the warning barrel is used, the warning plate is fixed, the lamp belt is started to give out warning light, then the stepping motor is started to drive the connecting plate and the warning plate to rotate, the warning plate drives the lamp belt to rotate, in the weather such as heavy fog, rear vehicles can obviously see the warning barrel, and traffic accidents are reduced.

The embodiment of the invention provides an intelligent management method for off-site law enforcement through an unmanned aerial vehicle, which relates to the technical field of intelligent traffic management and comprises a data acquisition stage, a data processing and analysis stage and a data transmission and storage stage. According to the method, a highly integrated and intelligent full-process solution is constructed, an unmanned aerial vehicle is used as a core acquisition terminal, various technologies such as flight control, image acquisition and data transmission are fused, and seamless joint with a traffic management integrated command platform is realized. In the technical architecture aspect, the network level utilizes the Internet / mobile private network, the video private network and the security network, and the security transmission of data is ensured through a boundary access platform; the functional module layer covers data aggregation, core rule, business function and self-research platform modules, and all the modules work cooperatively. The method can be applied to scenes of daily traffic patrol and the like, efficiency and accuracy of traffic law enforcement are remarkably improved, and innovative technical support is provided for urban traffic management.

The invention relates to the technical field of vehicle illegal behavior monitoring, and discloses a vehicle illegal behavior monitoring method and system based on single Beidou video positioning, and the method comprises the steps: obtaining Beidou positioning data generated by a vehicle through a single Beidou positioning system; when the position coordinates of the vehicle fall into the electronic fence range of the illegal monitoring area, calling a video stream collected by roadside video equipment covering the position coordinates of the vehicle; extracting a video frame sequence matched with the timestamp from the video stream and identifying behavior characteristics of the vehicle in the video frame sequence; and comparing the behavior characteristics with an illegal behavior rule base in real time, and if the comparison succeeds, generating an illegal evidence packet. The problems of high equipment cost of a multi-satellite positioning system and inaccurate positioning of a signal shielding area can be avoided, the data fusion complexity is reduced, the processing speed is improved, the real-time monitoring requirement is met, the problems of limited coverage range, high cost, poor real-time performance and the like of vehicle illegal behavior monitoring are effectively solved, and the efficiency and accuracy of traffic law enforcement are improved.