度量(数据仓库)
计算机科学
Android(操作系统)
环境科学
人机交互
操作系统
数据库
作者
Ishita Sar,Soumitra Kundu,Aurobinda Routray,Biswajit Mahanty
标识
DOI:10.1061/9780784484340.015
摘要
Measurement of driving comfort is necessary, as an uncomfortable journey experience could be extremely hazardous for old people and patients. Overall driving comfort depends on several environmental contexts in addition to the driving behaviour. In this paper, we present QDCL, an android application, capable of measuring context specific driving comfort. RMS values of the tri-axial acceleration values followed by FFT have been considered for defining driver behaviour-based comfort index (CI). For defining the context specific comfort index (CSCI), road condition and ambient temperature have been considered along with CI. International roughness index (IRI) has been considered for quantifying road anomaly, which can affect driving comfort. Deviation of ambient temperature from ideal temperature range of human body has also been considered for measuring CSCI. QDCL measures CSCI for each 20 s interval. The application provides an alarm to the driver in case the CI value exceeds the threshold for "a little uncomfortable" journey experience.
科研通智能强力驱动
Strongly Powered by AbleSci AI