A Two-Step E-Nose System for Vehicle Drunk Driving Rapid Detection
Source abstract
Abstract
With the rapid development of shared cars, to reduce the phenomenon of drunk driving in shared cars, we have studied the onboard drunk driving rapid detection electronic nose system suitable for shared cars. To accurately judge whether the driver is drunk while driving in the presence of interfering gases such as passenger exhalation and the volatile smell containing alcohol, this paper proposes a two-step drunk driving detection frame for shared cars that first judges whether someone in the car is drunk and then judges whether the driver is drunk. To reduce the cost and volume of the electronic nose, the sensor array was optimized based on the random forest algorithm. To find the optimal sampling time, we processed the original data by time slicing. Finally, using the two-step framework proposed by us, the accuracy of the first step and the second step of driver drunk driving detection reached 99.44% and 100%, respectively, with a sampling time of 5 s. After algorithm optimization, only 9 of the 21 sensors were left. This paper presents a practical electronic nose system for the detection of drunk driving in shared cars.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Advanced Chemical Sensor Technologies · Gas Sensing Nanomaterials and Sensors · Fire Detection and Safety Systems
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
College of Communication Engineering, Jilin University, Changchun 130012, China
Digital Intelligent Cockpit Department, Intelligent Connected Vehicle Development Institute, China FAW Group Co., Ltd., Changchun 130013, China
School of Mechanical and Aerospace Engineering, Jilin University, Changchun 130022, China
Weihai Institute for Bionics, Jilin University, Weihai 264401, China
College of Biological and Agricultural Engineering, Jilin University, Changchun 130022, China
School of Aviation on Operations and Services, Aviation University of Air Force, Changchun 130022, China
Key Laboratory of Bionic Engineering, Ministry of Education, Jilin University, Changchun 130022, China
Funding
National Natural Science Foundation of China · Science-Technology Development Plan Project of Jilin Province · Special Project of Industrial Technology Research and Development of Jilin Province · “13th Five-Year Plan” Scientific Research Foundation of the Education Department of Jilin Province
References (33)
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