Title :
Road traffic safety solution
Author :
Stan, O. ; Miclea, Liviu
Author_Institution :
Dept. of Autom., Tech. Univ. of Cluj-Napoca, Cluj-Napoca, Romania
Abstract :
This paper comes as a response to the fact that lately more and more accidents are caused by people who drive while intoxicated. Drunk drivers are not able to manage the wheel and make the most basic movements required when driving. This often puts their life and other traffic participants´ lives in peril. The proposed system, four alcohol sensors based, can determine if and who has been drinking (the driver or one of the passengers) and it will signal visual and auditive warnings.
Keywords :
road accidents; road safety; road traffic; sensors; traffic engineering computing; alcohol sensor; auditive warning; drunk drivers; road accident; road traffic safety solution; visual warning; Belts; Blood; Global Positioning System; Microcontrollers; Safety; Sensors; Vehicles; alcohol detection; mq3; msp430; traffic safety;
Conference_Titel :
Automation, Quality and Testing, Robotics, 2014 IEEE International Conference on
Conference_Location :
Cluj-Napoca
Print_ISBN :
978-1-4799-3731-8
DOI :
10.1109/AQTR.2014.6857863