Perception Scheduling and Intelligent Delivery of Smart Logistics Under Complex Events

In response to the low efficiency of traditional environmental perception and logistics distribution Vehicle Routing Problems (VRPs) in the logistics transportation process, a complex event-based environment perception model based on the Internet of Things is studied and designed. Combining the interpolation method and adaptive ant colony algorithm, a hybrid VRP algorithm is designed. The results showed that the optimal solutions of the design method on the four instances were 59.93%, 61.82%, 90.34%, and 91.75%, respectively. Compared with other methods, the maximum improvement in the optimal results was 13.6% and 23.5%, proving that the design method had good solving ability. By using design methods for path planning, the average transportation costs for each week within four weeks were 0.9 × 10 4 yuan, 1.1 × 10 4 yuan, 1.4 × 10 4 yuan, and 1.5 × 10 4 yuan, respectively, which were significantly lower than other algorithms. This indicates that the design method can effectively reduce transportation costs. The design method has high practicality in logistics transportation and provides strong technical support for the sustainable development of the logistics industry.