Research on the Planning Method of Traffic Lags Based on Adaptive Ant Colony Algorithms

Abstract

During the high-speed urbanization process, driverless technology has gradually become one of the mainstream development directions of new energy vehicles, while traffic road planning is one of the core points of driverless technology. During transportation path planning, traffic signs play an indispensable role in one of the most important traffic guidelines in the traffic system. In order to improve the existing path, unmanned driving algorithm, the identification process of the traffic signs needs to be further optimized, and the self-made transportation logo data and algorithm experiments must be made to make full use of their homemade traffic signs. Based on the background mentioned above, this article is improved by adapting the ant colony algorithms to identify the traffic logo data set and iterates optimization of each improvement point, which fully improves the accuracy and reliability of the detection of traffic signs.