QDCL: An Android Application to Measure Driving Comfort Level in Different Environmental Contexts

Publications

QDCL: An Android Application to Measure Driving Comfort Level in Different Environmental Contexts

Author : Dr Ishita Sar

Year : 2022

Publisher : American Society of Civil Engineers (ASCE)

Source Title : International Conference on Transportation and Development 2022: Application of Emerging Technologies - Selected Papers from the Proceedings of the International Conference on Transportation and Development 2022

Document Type :

Abstract

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.