Prediction of Electric Load Neural Network Prediction Model for Big Data

Abstract

The problem of traffic enforcement scheduling has become one of the key concerns of the government in recent years. How to carry out scientific and efficient speed measurement activities to ensure the safety of road traffic has therefore become the direction of the article's research. The paper selects accident-prone and speeding-prone locations as checkpoints, dividing them into three zones. The optimal speeding check time period is determined to be 18:00-23:00. To increase officers' efficiency, the problem is transformed into a TSP and solved using the Immunity Algorithm. The article defines the degree of safety, based on prior speeding violations, and evaluates the effectiveness of the inspection routes. The persistent effect of the dispatch scheme on local road safety is analyzed, taking an average of 3.67 days for a road to reach a higher risk state. Monte Carlo simulations are used to model vehicle speeding events and officer enforcement, with a final speeding violation detection probability of 0.871.