Study on Alcohol Testing Modeling and Design of Trusted Driving Safety Control System Based on IOT

Autor: Yue Jiang, Peng Wang, Hao Yang, Xu Chuan Zhou
Rok vydání: 2014
Předmět:
Zdroj: Applied Mechanics and Materials. 590:741-745
ISSN: 1662-7482
DOI: 10.4028/www.scientific.net/amm.590.741
Popis: The Internet of Things (IOT) provides people with a more integrated and intelligent services. The applications based IOT is focus on the solution driving safety in the paper. The design of driving safety control system based on the IOT is proposed and the topology of the system is given. Meanwhile, the alcohol content testing modeling of human blood after drinking is established using the simple differential equations sets. Meanwhile, the model is established and the model solution is given. In the end, MATLAB fitting curves of alcohol content in the blood is proposed and the simulation results showed whether measures are taken after driving, such driving permitted. it shows deeply intelligent driving safety control system can provide mankind with the better services of personal security.
Databáze: OpenAIRE