Award-winning Work Information & Description
Special Vehicle Scheduling and Road Health Supervision Platform Based on Deep Learning
Description
Users (special vehicles) need to register on the applet, fill in personal related information such as the user's real name, fill in vehicle related information such as the license plate number of the vehicle to be bound, and the background management personnel will review and pass the registration application. When users (special vehicles) carry out emergency operations, they can fill in the destination and emergency type on the equipment (applet) and send them to the background system, after receiving the scheduling request, the manager chooses whether to agree to the scheduling request. After agreeing, the manager will provide the requester with the fastest path planning. By simulating traffic light scheduling control, it saves waiting time for special vehicles, improves road traffic efficiency, and provides a smooth life channel. In addition, in addition to the core scheduling functions: 1) The administrator can call and view cloud monitoring on the platform. The video stream obtained by cloud monitoring puts the area of the target object into the classifier to classify and identify the target object through the YOLO target detection algorithm. 2) The administrator can understand the traffic health status in different regions through the analysis of the platform's health index, average speed and other data. 3) The administrator can view the congestion health status of the road on the platform, make it more intuitive to observe the traffic flow status of the road through the dynamic rendering effect of particles, and obtain the ranking data such as the mileage ratio of the road network congestion section through the average value and the worst value calculated by the platform. 4) The administrator can view the visual data of scheduling on the platform, such as traffic light scheduling in the past 14 days, green traffic of vehicles, task completion, etc. The administrator can also manage and maintain data such as equipment and bound vehicles on the platform.