2results about How to "Ease traffic pressure" patented technology

This utility model discloses a toll station card dispensing machine, comprising: a chassis with a built-in controller and an opening on one side; an aerial imaging device installed inside the chassis, comprising a housing, an imaging lens, and a display screen, both located within the chassis, with the imaging lens facing the opening; signal light emitted from the display screen is projected onto the imaging lens, and the signal light passes through the imaging lens to form a real image in the air that is mirror-symmetrical to the display screen; and a card receiving and dispensing device installed on the side of the chassis facing the lane, communicating with the aerial imaging device, containing a card, and positioned within the chassis but adapted to carry the card out of the chassis. The toll station card dispensing machine according to this utility model has advantages such as improving vehicle traffic efficiency, alleviating traffic pressure, and increasing user safety.

The application discloses a method and device for identifying road congestion state in real time, equipment and storage medium. Including: obtaining trajectory data corresponding to an idling vehicle equipped with a front image device, filtering a target vehicle driving on a road based on the trajectory data; extracting the front view image of the target vehicle, inputting the front view image into a pre-trained traffic object recognition model, and outputting the traffic object recognition result in the image; based on the traffic object recognition result, filtering an initial congestion image and automatically labeling the traffic light category corresponding to the initial congestion image; based on the traffic light category, inputting the initial congestion image into the corresponding congestion recognition model, and outputting the congestion level determination result of the current vehicle. Through image data recognition and congestion level recognition, the application accurately determines the congestion level, improves the accuracy and real-time performance of congestion recognition, provides strong support for traffic management and optimization, and improves road traffic efficiency.