Abstract

With the development of economy and society, the demand and use of automobiles are increasing all over the world. Cars have become a common means of transportation in people’s daily life, but with it comes the problem of automobile exhaust emission. Nowadays, motor vehicle exhaust has become one of the main sources of air pollutants in many cities. This paper mainly introduces the design and development process of a vehicle flow system based on neural network. In this paper, the demand analysis and overall analysis of the whole system are included, as well as the design and implementation of background algorithms and application functions in the system, which meet the needs of users.

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