A Computer Software Optimization and Upgrading Study of Automated Traffic Violation Detection Based on Intelligent Optimization Algorithm

Abstract

Scientific research on the optimization and enhancement of the design of computer technology for automatic identification of traffic violations according to intelligent optimization algorithms. For the current automatic identification of traffic violations, there is an urgent need to solve the modern development of automatic identification of traffic violation management methods. Based on this, this study elaborates on the reliability design requirements of the traffic violation automatic identification computer technology based on the ant colony algorithm in the intelligent optimization algorithm, and improves the design and implementation of the traffic violation automatic identification computer technology as encouraged by the ant colony algorithm. The optimization and improvement of traffic violation automatic identification computer technology based on intelligent optimization algorithm completes the group control system and production scheduling of traffic violation environment monitoring process, reduces the system software energy consumption, and manifests the proactive application's economic benefits. The computer software designed in this paper for the optimization of automatic traffic violation detection based on the intelligent optimization algorithm is feasible and can have a positive design realization value.