METHODS AND INTERNET OF THINGS SYSTEMS FOR DETERMINING TRAFFIC TIME IN SMART CITIES

The present disclosure provides a method and an Internet of Things system for determining traffic time in a smart city. The method may include: obtaining traffic data information transmitted by the sensor network platform based on at least one object platform, wherein the traffic data information includes itinerary information of a user, vehicle information of a preset route, and channel information of a preset channel; determining a passing time of the preset channel in the preset route from a current location to a target location through processing the traffic data information based on a time prediction model, wherein the time prediction model includes a first embedding layer, a traffic flow distribution layer, a second embedding layer, a queuing distribution layer, and a channel passing time output layer, and the time prediction model is a machine learning model.