7 results about "Traffic enforcement" patented technology

This invention discloses a traffic flow prediction method based on spatiotemporal data embedding, comprising: acquiring historical traffic flow data; performing spatiotemporal data embedding based on the historical traffic flow data, including: interval representation of traffic flow: determining the interval to which each traffic flow belongs and converting it into a corresponding traffic flow interval; generating traffic flow vectors: taking all traffic flow intervals as input data, and using a Word2vec model to convert the input data into embedded data, i.e., the corresponding traffic flow vectors; extracting time features from the traffic flow vectors to obtain a node feature matrix, and extracting the correlation between traffic enforcement devices to obtain a dynamic correlation graph; inputting the node feature matrix and the dynamic correlation graph into a graph convolutional neural network to obtain the prediction result output by the graph convolutional neural network. This method can quantify and measure the implicit correlation between traffic flows, extract high-level time features and dynamic correlation graphs for effective modeling, and obtain accurate and stable traffic flow predictions.

1. Name of the product in this design: Warning Light (Transportation Administration Law Enforcement). 2. Purpose of this design: A horn for safety warning and protection of traffic enforcement vehicles and patrol cars. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

A solar-powered traffic enforcement and monitoring system comprising, a GPS module, one or more solar panels, one or more sensors including Doppler radar unit and one or more cameras, one or more communication modules and a processing module. The GPS module is configured to track the one or more vehicle. The one or more solar panels for providing electrical power to the system. The one or more sensors including a Doppler radar unit and one or more cameras. The one or more sensors adapted for detecting unauthorized entry or vehicles traveling in the wrong direction at exits or chevron areas using artificial intelligence. The Doppler radar unit configured to measure the speed of vehicles passing through an enforcement zone with an accuracy of ± 1 km / hr. across up to 8 lanes. Real-time alerts and warnings are duly sent to one or more concerned authorities upon detecting violations.

This disclosure relates to a method for vehicle monitoring based on roadside equipment, the roadside equipment itself, and a vehicle. The method includes: receiving monitoring information from a traffic monitoring platform; broadcasting the monitoring information to vehicles surrounding the roadside equipment via C-V2X communication; receiving vehicle perception information reported by vehicles within the road segment where the roadside equipment is located; determining whether vehicles within the road segment where the roadside equipment is located comply with the requirements of the monitoring information based on the vehicle perception information and the roadside perception information from the roadside equipment; and sending a violation warning message to the vehicle if it does not comply with the requirements of the monitoring information. By combining the perception data from both the vehicle and roadside equipment for regulatory compliance determination, the accuracy and timeliness of data processing in traffic enforcement can be improved overall. Broadcasting monitoring information helps guide vehicles to adjust their driving paths in real time according to the monitoring information, reducing violations and improving traffic efficiency.

To provide a driving support system or the like for properly notifying a driver of traffic regulation information or the like disclosed by the police or the like of each prefecture.SOLUTION: The driving assistance system 1 includes the control means 11 that acquires the scheduled monitoring information related to the implementation schedule of the traffic monitoring activity and the current information that is the information related to the current time, and executes the control to notify the notification information based on the current information and the scheduled monitoring information at the notification timing determined based on the scheduled monitoring information and the current information, and the notification timing includes the timing under the prior situation set to be in the prior situation for the traffic monitoring activity when the current information does not match the scheduled monitoring information.SELECTED DRAWING: Figure 1

A method for calibrating a traffic enforcement device comprising a camera and a radar, the method comprising: estimating position and orientation parameters of the camera and the radar in a reference frame associated with a lane of a road; acquiring, data relating to the path of a given vehicle in the lane of the road; determining, a camera path of the vehicle based on the data acquired by the camera and of the estimated position and orientation parameters, and determining, a radar path of the vehicle based on the data acquired by the radar and of the estimated position and orientation parameters; and computing, based on the camera path and of the radar path, corrected values for the estimated position and orientation parameters of the camera, including a parameter quantifying the angle of elevation, and a parameter quantifying the height, of the camera.

The embodiment of the invention discloses a traffic vehicle snapshot method and device based on an unmanned aerial vehicle, equipment and a medium. A specific embodiment of the method comprises the following steps: determining an unmanned aerial vehicle inspection path based on a geographic information network system; according to the unmanned aerial vehicle inspection path, controlling an associated unmanned aerial vehicle to perform video acquisition on the no-parking area to obtain video stream data; performing target detection on the video stream data to obtain an illegal parking vehicle image set; real-time positioning data and camera operation parameters of the unmanned aerial vehicle are obtained, space coordinate conversion is carried out on the real-time positioning data and the camera operation parameters based on a space coordinate conversion method and the illegal parking vehicle image set, and a vehicle position data set is obtained; performing digital encryption on the illegal parking vehicle image set, the vehicle position data set and the system timestamp to obtain an illegal parking evidence file; and transmitting the illegal parking evidence file to a traffic law enforcement system, and triggering road network warning. According to the embodiment, the effective working time of the unmanned aerial vehicle can be prolonged, and the road network warning delay is reduced.