56 results about "Mobile traffic" patented technology

The invention discloses a road traffic flow management and control system based on a mobile road cone. The road traffic flow management and control system comprises a data transmission module (1), a scheme generation module (2), a field management and control module (3) and an energy storage and charging module (4), the data transmission module (1) is used for transmitting a control instruction issued by a traffic manager to the scheme generation module (2); the scheme generation module (2) is used for receiving an instruction issued by a traffic manager and generating a moving path scheme and a formation scheme; the field management and control module (3) is used for moving a mobile road cone (6) to a target position according to the mobile path scheme and the formation scheme to form a preset formation management and control traffic flow; and the storage and energy charging module (4) is used for charging the movable road cone (6). Manual on-site operation is not needed, the coverage range is far, the intelligent degree is high, and response is rapid.

The invention relates to the technical field of traffic signal lamps, and discloses a mobile traffic signal lamp with an intelligent network connection function, which comprises a traffic signal lamp module and a control system which are mutually connected, and is characterized in that the traffic signal lamp module comprises a traffic signal lamp body, a camera, a solar charging panel and a storage battery; the camera and the solar charging panel are installed on the traffic signal lamp body, and the storage battery is installed in the traffic signal lamp body. The control system comprises a signal control machine, a channel driver, a cloud platform and a charging controller, the signal control machine is connected with the cloud platform and the channel driver, the channel driver is connected with the traffic signal lamp body, the charging controller is connected with the solar charging panel and the storage battery, and the charging controller is used for controlling the solar charging panel to charge the storage battery. According to the invention, through the intelligent network connection technology, remote monitoring and control of the traffic signal lamp module are realized, and the efficiency and flexibility of traffic management are improved.

The invention provides a mobile traffic prediction method and device based on a diffusion model, and relates to the technical field of mobile traffic prediction.The method comprises the steps that on the basis of obtained historical mobile traffic, noise mobile traffic and dynamic characteristics of the historical mobile traffic are determined, and the noise mobile traffic is the mobile traffic added with noise; the noise priori estimation unit based on the diffusion model is used for carrying out noise estimation on the noise movement flow and the dynamic characteristics to obtain noise priori, and carrying out noise prediction on the noise movement flow based on a denoising network of the diffusion model to obtain residual noise; and performing flow prediction according to the noise prior, the residual noise and the noise moving flow to obtain future moving flow. According to the invention, the accuracy of mobile traffic prediction can be improved.

The invention belongs to the technical field of mobile traffic prediction, and particularly relates to a cross-domain migration space-time integrated network algorithm, which comprises the following steps: S1, constructing an integrated learning model, carrying out initial training on a basic learner by utilizing integrated learning, and capturing space-time characteristics in combination with a space-time network, the method is used for overcoming the defects of instability and overfitting in a multi-dimensional space-time cross-domain environment, and an integrated learning model comprises a traffic data set structure, spectral clustering, long-short term memory (LSTM) and a convolutional neural network (CNN). The invention provides a new migration learning algorithm, the algorithm trains a mobile traffic prediction model from source domain data with rich data, then the model is migrated to a mobile edge network environment with sparse data so as to improve the prediction precision of the model, and meanwhile, a new migration mapping framework is provided so as to improve the prediction precision of the model. That is, a reflection function is learned from empirical data and optimized to predict when or how to migrate to achieve optimal predictive performance.

The invention relates to the technical field of traffic signals, in particular to a movable intelligent traffic light which comprises a vehicle body, a signal lamp assembly, a camera shooting part and a control assembly, wheels are arranged at the bottom of the vehicle body, an energy part is arranged in the vehicle body, an audio playing module is further arranged on the vehicle body, and the signal lamp assembly is arranged at the top of the vehicle body. The bottom of the signal lamp assembly is fixedly connected with the top of the vehicle body, the camera part is arranged at the top of the signal lamp assembly, and the mounting end of the bottom of the camera part is fixedly connected with the top of the signal lamp assembly. The intelligent mobile traffic light system provided by the invention not only effectively solves the traffic safety management problem in special areas, but also improves the urban traffic management through the characteristics of high efficiency, flexibility and low cost.

The application discloses the field of flow data processing, and proposes a mobile flow classification method based on a multi-scale pyramid token sliding window. Different scale sliding windows are designed based on the pyramid pooling principle to perform multi-granularity segmentation on token sequences, better capture the distribution characteristics and perform embedded representation, and then convert the fragments into fixed-length vector representation through the multi-scale sliding window mechanism, effectively fuse the multi-scale features, and apply LSTM for deep feature extraction, capture the forward and backward time sequence dependence relationship in each sub-sequence fragment, and introduce the attention mechanism in each time step output, and strengthen the key feature and the feature representation of the difficult classification and easily confused category. The application solves the classification boundary ambiguity and performance bottleneck problem caused by the single scale feature extraction and the lack of effective feature fusion strategy in the existing mobile flow classification method, and improves the classification accuracy.

The invention provides a cross-scale urban population movement behavior generation method and model. The method comprises the following steps: acquiring a real first individual movement track and a first group movement flow of an urban population; generating a simulated second individual movement track by using the first individual movement track and the first group movement traffic, and aggregating the simulated second individual movement track into a simulated second group movement traffic; respectively comparing the first individual movement track with the second individual movement track, the first group movement flow and the second group movement flow, and giving a reward signal based on a comparison result; evaluating the conformity degree of the generated second individual movement track to the individual movement mode and the conformity degree of the second group movement flow to the group flow rule, and giving a dominant function; and updating parameters of the generator according to the dominant function. The method overcomes the limitation of simplified description of an existing model, and can more comprehensively capture the complexity of urban movement, including heterogeneity of individual movement, interaction between individuals and complex relationship between individuals and environment.

The utility model provides mobile traffic warning equipment, and relates to the technical field of traffic warning equipment. The mobile traffic warning equipment comprises two square frames and four supporting rods, and the four supporting rods are installed among the four corners of the two square frames to form a frame structure. According to the mobile traffic warning equipment, the warning box capable of sliding up and down is arranged in the frame formed by the square frame and the supporting rods, when the equipment needs to be used, the warning box slides to the top of the equipment, and the position of the warning box is fixed through the limiting assembly, so that people in the distance can better observe the warning box, and the use safety of the equipment is improved. When the equipment needs to be moved, the warning box slides to the bottom of the equipment and is matched with a limiting assembly to fix the position of the equipment, and universal wheels at the bottom of the warning box are used for rapidly moving the whole equipment, so that the equipment is convenient to move, and the using effect of the equipment can be further improved; and practical application and operation are facilitated.

The invention provides a mobile network traffic processing method and device based on a general prediction model, and the method comprises the steps: segmenting target mobile network traffic corresponding to a target prediction task based on a number element segmentation unit of the general prediction model, and obtaining a mobile number element sequence; based on a space-time mask mechanism of the general prediction model and a task type corresponding to the target prediction task, performing mask processing on the mobile number element sequence to obtain a mask sequence; and based on a prediction task processing layer of the general prediction model, performing task processing on the target environment data corresponding to the mask sequence and the moving number element sequence to obtain target prediction data corresponding to the target prediction task. According to the method, the problems of task splitting, insufficient model generalization, high engineering deployment complexity and the like of a current mobile traffic prediction method are solved; multiple types of mobile traffic prediction tasks can be processed at the same time, and excellent migration ability and task adaptation ability are achieved; and the generalization performance and robustness of the model under multiple cities and multiple tasks are improved.

The invention belongs to the field of network traffic classification, and discloses a network traffic classification method and system based on dual position coding and a mixed mask mechanism, and the method comprises the steps: segmenting input network traffic according to time slices, and generating structured traffic representation based on a source address, a destination address, a source port, a destination port and a transmission protocol; inputting the stream data subjected to double-position coding into a Transform-based coding model, and introducing a mixed mask mechanism in an attention calculation process to balance the byte dependency relationship in a packet and between packets; and obtaining a classification result output by the coding model, performing judgment according to a preset confidence threshold, if the confidence of the classification result is within a preset confidence interval, executing stream caching and reconstruction processing, otherwise, directly outputting the classification result. According to the method, the accuracy and robustness of encrypted traffic classification and attack detection can be effectively improved, and the method is suitable for Internet of Things traffic, mobile traffic and cross-platform complex network environments.

A solar intelligent collision early warning mobile signal lamp relates to the field of traffic safety. In order to solve the technical defect that a signal lamp capable of realizing effective monitoring and timely early warning is not disclosed in the prior art, the technical scheme provided by the utility model is as follows: the signal lamp comprises a signal lamp main body; the solar cell panel is used for converting solar energy into electric energy; the LED signal lamp module is used for displaying traffic indication signals; the battery compartment is used for storing electric energy converted by the solar cell panel, and an intelligent signal control machine, a sensor data acquisition module and a communication module are arranged in the electronic control cabin; the sensor module comprises a temperature sensor, an acceleration sensor and a GPS positioning module which are respectively arranged at different positions of the main body; the sensor module sends acquired monitoring data to the sensor data acquisition module. The method is suitable for mobile traffic signal lamp safety control work requiring real-time monitoring and remote management.

The utility model discloses an intelligent mobile traffic cone which comprises a cone body, a base arranged at the bottom of the cone body and a walking mechanism installed at the bottom of the base. The bottom of the cone is provided with a first cabin, the top of the cone is provided with a downwards-sunken storage groove, and a second cabin is formed between the first cabin and the storage groove; a cylindrical air bag is arranged in the storage groove, the bottom of the air bag is fixedly connected with the bottom wall of the storage groove, an equipment mounting seat is fixed to the top of the air bag, and an image acquisition device is mounted on the equipment mounting seat; the image acquisition device is mounted on the equipment mounting seat through the universal holder; an inflation and deflation port is formed in the side part of the air bag; a controller and a wireless communication module in signal connection with the controller are arranged in the second cabin; the walking mechanism and the image acquisition device are respectively in signal connection with the controller; a first warning indicator arranged along the side wall of the cone is arranged outside the second cabin; a storage battery is arranged in the first cabin and electrically connected with the walking mechanism, the image collecting device and the controller.

The present invention provides a CSS web page animation compression method, system, device and storage medium. The method includes: performing video recognition on a first animation medium, and sequentially dividing the first animation medium into a plurality of video segments based on frame similarity, each segment containing a plurality of video frames; obtaining a standard video frame from each video segment, where the average value of the image similarity between the standard video frame and other video frames in the video segment is the highest; comparing the standard video frame with other video frames in the same video segment respectively to obtain a static region, a plurality of dynamic regions and image restoration information of the video segment; generating a media file jointly based on the static regions, the plurality of dynamic regions and the image restoration information of the video segments corresponding to all the video segments of the first animation medium, and the capacity of the media file is smaller than that of the first animation medium. The present invention can reduce the capacity of web page animations, save mobile traffic, speed up page refresh speed and improve user experience.

The utility model relates to the technical field of mobile vehicles, and particularly discloses an adjustable rear wheel expansion device which comprises a device body. A front case; a rear housing; the connecting assembly is arranged between the front shell and the rear shell, one end of the connecting assembly is slidably connected with the front shell in the front-back direction, and the other end of the connecting assembly is fixedly connected with the rear shell; the first rear wheel assembly and the second rear wheel assembly are arranged on the two opposite sides of the rear shell respectively; the expansion assembly can apply a first acting force to the first rear wheel assembly and the second rear wheel assembly, the first acting force enables the first rear wheel assembly and the second rear wheel assembly to move oppositely, and the expansion assembly can apply a second acting force to the first rear wheel assembly and the second rear wheel assembly; the second acting force enables the first rear wheel assembly and the second rear wheel assembly to move relatively. According to the adjustable rear wheel expansion device, the distance between the rear wheels is adjusted, and the performance of the device in the aspects of the stability and the bearing capacity of the rear wheels is improved.

1. The name of the design product: mobile traffic guidance vehicle. 2. The use of the design product: for traffic monitoring and driving guidance. 3. The design points of the design product: in shape. 4. The picture or photo that best shows the design points: perspective view.

The utility model relates to the technical field of support platforms, in particular to a support platform of traffic meteorological mobile observation equipment, which comprises a fixed connecting rod, a lifting rotating structure is connected onto the end face of the fixed connecting rod, an angle adjusting structure is connected onto the lifting rotating structure, a camera is connected onto the angle adjusting structure, and the camera is connected onto the fixed connecting rod. A controller is connected to the end face of the fixed connecting rod, the lifting rotating structure comprises a connecting vertical rod, the connecting vertical rod is connected to the end face of the fixed connecting rod, a movable box body is connected to the side wall of the connecting vertical rod, and a lifting motor is connected to the side wall of the movable box body through a connecting base; according to the utility model, the angle adjusting structure is arranged in the support platform of the traffic meteorological mobile observation equipment, so that the elevation angle of the camera in use can be adjusted by using the driving motor in the angle adjusting structure through the transmission structure, and the monitoring distance can be wider.

The present invention provides a method and system for real-time power outage monitoring in residential areas based on mobile Internet traffic feedback, the method comprising: layering the power supply network data provided by the power supply company to form a multi-layer tree structure and displaying it on a map; when the background APP of the user's smart phone is always connected to the network and the background APP is disconnected after losing WIFI, the user is marked as an effective group user, and according to the divided multi-layer tree structure, all surface element areas in the bottom layer are independently marked as 1 geographic fence; the mobile traffic behavior characteristics of the effective group users entering a certain geographic fence in the target area are counted, and the collected mobile traffic behavior characteristics of the effective group users are sorted and stored; the power outage area is obtained by statistical analysis of the stored data and visualized on the map. The present invention not only does not require active feedback from residents, but can also accurately delineate the complete power outage area by coordinating with the power supply network.

This invention relates to the field of traffic data processing and classification, and proposes a mobile traffic classification method and system based on spatiotemporal hybrid representation learning. Through a preprocessing mechanism of feature hierarchical screening and dynamic noise filtering, the quality of the original traffic feature input is optimized. Subsequently, attention-guided feature interaction is added in the micro-fusion stage to strengthen the nonlinear correlation of spatiotemporal features within a single time step. Furthermore, in the macro-fusion stage, a cross-scale feature alignment and temporal-spatial attention interaction mechanism is designed to avoid the limitations of traditional independent modeling. Finally, the classification module is optimized by combining a class-adaptive loss adjustment strategy to adapt to the sample distribution differences of different traffic types. This invention achieves deep spatiotemporal feature fusion and improves the accuracy of mobile traffic classification.

The application belongs to the technical field of mobile traffic prediction, and particularly relates to a cross-domain transfer spatio-temporal integrated network method, comprising the following steps: S1, constructing an integrated learning model, using integrated learning to initially train a basic learner, and combining a spatio-temporal network to capture spatio-temporal features, which is used to overcome the instability and overfitting defects existing in a multi-dimensional spatio-temporal cross-domain environment, wherein the integrated learning model comprises a traffic data set structure, spectral clustering, a long short-term memory (LSTM) and a convolutional neural network (CNN). The application proposes a new transfer learning algorithm, which trains a mobile traffic prediction model from source domain data rich in data, and then migrates the model to a mobile edge network environment with sparse data, so as to improve the prediction accuracy of the model, and at the same time proposes a new transfer mapping framework, that is, learning a reflection function from experience data and optimizing the reflection function to predict when to migrate or how to transfer to obtain the best prediction performance.

To provide a mobile object traffic control system that controls traffic of a mobile object in real space with high accuracy.SOLUTION: A sensor device acquires image sensor data composed of point clouds in the real space. A server device generates a digital twin based on the image sensor data composed of the point clouds in the real space, and generates a map on which a virtual obstacle for controlling the traffic of the mobile object is placed on the digital twin. The mobile object generates a travel route of the mobile object in the real space based on information related to the map including the virtual obstacle, and controls each drive mechanism for travel.SELECTED DRAWING: Figure 3

The utility model relates to the technical field of traffic signal lamps, and discloses a movable traffic signal lamp, which comprises a base, the top of the base is fixedly connected with a fixed rod, the upper part of the fixed rod is fixedly connected with a signal lamp, the inside of the fixed rod is fixedly connected with a shunt pipe, and the surface of the shunt pipe is fixedly connected with a spray head. A filter screen is arranged in the base, a recycling pool is arranged in the base, a water pump is fixedly connected to the interior of the base, and an adjusting assembly is arranged at the top of the fixing rod and comprises a motor. According to the signal lamp cleaning device, rainwater is filtered by the filter screen or injected into the recycling pool, the water pump is started, water in the recycling pool can be pumped out, the pumped water is conveyed to the spray head through the flow dividing pipe, the spray head conducts even water spraying and cleaning operation on signal lamps in multiple directions from top to bottom, the signal lamps are cleaned, water resources can be recycled, and the environment is protected. And the practicability of the equipment is greatly improved.

The utility model relates to the field of traffic signal lamps, in particular to a mobile traffic signal lamp pole piece with an adjustable cross arm. The adjustable signal lamp pole piece comprises a signal lamp stand column and a cross arm connected with the signal lamp stand column. A driving device is arranged in the cross arm; the driving device is connected with the telescopic rod; the telescopic rod is driven by the driving device to stretch out and draw back, so that the function of adjusting the length of the cross arm is achieved, and when municipal traffic is guided, the control operation of improving the traffic indication effect of roads with different widths is achieved.

The invention discloses a multi-communication module fusion transmission method, which comprises the following steps that: firstly, a main control module analyzes downlink data issued by an upper computer and determines a service type to which the downlink data belongs; meanwhile, the main control module can collect various transmission quality indexes of each communication module, so as to evaluate the signal quality score of each communication module. Then, the main control module can select a corresponding communication module and a corresponding transmission frequency band to transmit the received downlink data according to a set decision rule in combination with the service type of the downlink data and the signal quality score of each communication module. And finally, based on the selected transmission frequency band and the service type, through the constructed joint optimization model, distributing transmission power of each communication module used for transmitting downlink data. Therefore, the network coverage range is expanded, the coverage blind area is reduced, the repeated construction is reduced, the resource waste is avoided, and the seamless connection requirement of the mobile traffic of the terminal between the networks is met.

1. The name of the design product: mobile traffic signal. 2. The use of the design product: the design product is used for the emergency traffic signal command of the vehicle-road cloud integrated new system test road. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

The invention relates to the technical field of traffic signal control, in particular to a mobile traffic signal lamp control method and system based on photovoltaic power generation. The method comprises the following steps: acquiring data of a mobile traffic signal lamp control area, dividing the data into a plurality of control sub-areas, deploying a multi-parameter acquisition device for the mobile traffic signal lamp in each control sub-area, and acquiring multi-parameter data of the current control sub-area in real time; dividing three-level traffic pressure threshold values of the sub-regions, comparing the multi-parameter data to determine the grade of the current control sub-region, and adjusting signal lamp control data of the current control sub-region; linkage of multiple control sub-regions is carried out, master and slave control nodes are dynamically replaced, and multi-region linkage is carried out according to regional traffic pressure; the system comprises a current area multi-parameter acquisition module, a signal lamp three-level dynamic management module and a multi-area linkage module. Through the mode, multi-area dynamic linkage is realized, so that the traffic management efficiency and the environmental protection property are improved, and diversified traffic scene requirements are met.

The invention provides a flow statistical method and electronic equipment, the method is applied to first electronic equipment, a first SIM card is arranged in the first electronic equipment, the first SIM card is associated with a first phone number, the method comprises the following steps: displaying a first interface, and displaying a first control in the first interface; the first control corresponds to a second SIM card associated with the first phone number; the second SIM card is arranged in second electronic equipment; and a selection operation for the first control is detected, a second interface is displayed, and mobile traffic information corresponding to the second SIM card is displayed in the second interface. The mobile traffic use condition of other electronic devices associated with the same phone number can be checked on one electronic device, the user operation is reduced, and the user experience is improved.

The utility model relates to the technical field of signal lamps, in particular to a movable traffic signal lamp, which comprises an electric power storage box, a placing mechanism is arranged on the electric power storage box and comprises a lower fixing rod, the top of the electric power storage box is fixedly connected with the lower fixing rod, the top end of the lower fixing rod is fixedly connected with a sliding rod, and the sliding rod is fixedly connected with the sliding rod. An upper fixing rod is fixedly connected to the top end of the sliding rod, a second spring is fixedly connected to the bottom end of the upper fixing rod, a sliding plate slides on the sliding rod, the top end of the sliding plate abuts against the bottom end of the second spring, a fixing block is fixedly connected to the side wall of the sliding plate, and a containing groove is formed in the top of the electricity storage box. An indicating plate is clamped between the placing groove and the fixing block, and an indicating mechanism and an adjusting mechanism are arranged on the upper fixing rod; the construction detouring diagram can be placed on the mobile traffic signal lamp, so that people can watch the diagram conveniently, drivers are prevented from driving in wrong directions, and time is not wasted.

The invention provides a transverse movement traffic detection method, which is used for detecting whether transverse movement traffic exists in a traffic sequence to be detected generated in a target containerization cluster, and comprises a preprocessing stage, a first detection stage, a second detection stage and a detection result output stage, wherein the preprocessing stage is used for obtaining a value range corresponding to a target feature and a topological structure of a target containerization cluster; the first detection stage is used for carrying out extreme value detection and topology detection; the second detection stage is used for carrying out flow detection on the to-be-detected flow sequence by adopting a pre-trained transverse movement detection model; and the detection result output stage is used for performing deduplication processing to obtain a final detection result of the to-be-detected traffic sequence. According to the technical scheme of the invention, two-stage detection is set to screen the transverse movement flow, and the false alarm rate is reduced while the detection rate is improved.

A vehicle detection device of an urban traffic intelligent control system disclosed by the present invention comprises a moving seat, a mounting column is mounted at the upper end of the moving seat, traffic lights are mounted on the four sides of the mounting column, a lifting screw is in threaded connection in a threaded groove, a rotating rod is fixed at the bottom of the lifting screw, and the rotating rod is fixed at the bottom of the rotating rod. And the rotating rod is rotationally connected with the inner bottom of the rectangular groove, a mounting plate is fixed to the upper end of the rectangular column, four cameras with adjustable angles are mounted at the upper end of the mounting plate, and the cameras can detect the vehicle. Flexible moving and stable supporting can be achieved, and different detection requirements can be met by adjusting the height and angle of the camera; according to the invention, illegal vehicles can be detected, the defect that an existing mobile traffic light is single in function is overcome, illegal driving behaviors are effectively reduced, the traffic accident probability is reduced, and the traffic safety level and the road traffic efficiency during temporary traffic control are improved.