Research and application of data-driven intelligent traffic law enforcement system
Luo Wanhua, Honggang Kong, SU Hong-wei · 2022 IEEE 6th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC ) · 2022
With the rapid development of the transportation industry, starting from the goal of improving industry governance capabilities, it is urgent to realize a new model of digital law enforcement with the help of information management platforms and intelligent technological means. This paper analyzes the urgency of carrying out intelligent law enforcement and its pain points based on the characteristics and difficulties of current transportation law enforcement. The law enforcement knowledge base model formed by the transformation of various data such as law enforcement procedures, research and propose a data-driven intelligent law enforcement system, design the overall framework, core modules, etc., and verify the effect through application in the transportation industry, in order to achieve deep intelligence Law enforcement and intelligent supervision provide important support.