Eftekhari, Hamid Reza, and Mehdi Ghatee. "An inference engine for smartphones to preprocess data and detect stationary and transportation modes., By Hamidreza Eftekhari

Research

Title	Eftekhari, Hamid Reza, and Mehdi Ghatee. "An inference engine for smartphones to preprocess data and detect stationary and transportation modes.
Type	Article
Keywords	Intelligent Transportation Systems Mode detection Smartphone sensors Inference engine
Journal	TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
Researchers	Hamidreza Eftekhari

Abstract

smartphone can be utilized as a cost-effective device for the purposes of intelligent transportation system. To detect the movement and the stationary statuses in the motorized and non-motorized modes, this study develops a new inference engine, including two sets of rules. The first sets of rules are defined by the related thresholds on the features of smartphone sensors while the second sets are extracted from the human knowledge to improve the results of the first rules. The experimental results reveal that by utilizing Inertial Measurement Unit (IMU) sensors in the proposed inference engine, it is possible to save 40% energy in comparison with the previous research. Moreover, this engine increases the accuracy of the motorized mode detection to 95.2% and determines the stationary states in motorized mode with 97.1% accuracy.