Web Page Design of Automobile Energy Saving and Emission Reduction System Based on Neural Network

Abstract

With the continuous development of economy and society, the demand and use of automobiles are increasing all over the world. China’s automobile industry has gradually grown into one of the important industries. Automobile exhaust has become one of the main sources of air pollutants in many cities, and automobile exhaust in some cities has a great impact on many air pollution indicators. If we can provide a more energy-saving route for the driver before the driver leaves, combining with the traffic situation forecast, we can better realize the energy-saving and emission-reduction of automobile travel. This paper mainly introduces the web page design of an automobile energy saving and emission reduction system based on neural network, which is implemented by Python, Html, JavaScript, CSS, Java and other programming languages, and meets the basic needs of users.