Journal article

A fuzzy logic based transport mode detection framework in urban environment

Rahul Deb Das, Stephan Winter

Journal of Intelligent Transportation Systems | TAYLOR & FRANCIS INC | Published : 2018

Abstract

Transport mode detection is an emerging research area in different domains such as urban planning, context-aware mobile computing, and intelligent transportation systems. Current approaches are mostly data-driven, based on machine learning approaches. However, machine learning models require substantial training data and cannot explain the reasoning procedure. Data-driven approaches also fall short while interpreting trajectories where ground truth information is limited. Therefore, this paper develops a novel knowledge-based approach for interpreting smartphone global positioning system trajectories by detecting various transport modes used during travel. The proposed model is based on an e..

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University of Melbourne Researchers