Power-saving transportation mode identification for large-scale applications
Transportation mode detection with personal devices has been investigated for over ten
years due to its importance in monitoring ones' activities, understanding human mobility, and …
years due to its importance in monitoring ones' activities, understanding human mobility, and …
Urban sensing: Using smartphones for transportation mode classification
We present a prototype mobile phone application that implements a novel transportation
mode detection algorithm. The application is designed to run in the background, and …
mode detection algorithm. The application is designed to run in the background, and …
Poster: Monosense: An energy efficient transportation mode detection system
AM AbdelAziz - Proceedings of the 14th Annual International …, 2016 - dl.acm.org
Transportation mode detection problem has been addressed by a number of recent systems
using the ubiquitous mobile phones. Nevertheless, these studies either leverage different …
using the ubiquitous mobile phones. Nevertheless, these studies either leverage different …
Machine Learning for Data-Centric Transport Mode Detection: A Systematic Review
N Yang, C Al Haddad, I Yamnenko… - Available at SSRN … - papers.ssrn.com
Ubiquitous and diverse sensors have enriched the transportation field with a multitude of
data types and substantial semantic knowledge, significantly advancing the development of …
data types and substantial semantic knowledge, significantly advancing the development of …
Transportation modes classification using feature engineering
M Etemad - arXiv preprint arXiv:1807.10876, 2018 - arxiv.org
Predicting transportation modes from GPS (Global Positioning System) records is a hot topic
in the trajectory mining domain. Each GPS record is called a trajectory point and a trajectory …
in the trajectory mining domain. Each GPS record is called a trajectory point and a trajectory …
A multi-scale attributes attention model for transport mode identification
Transport mode identification (TMI), which infers the travel modes of user trajectories, is
essential to facilitate an understanding of urban mobility patterns and passengers' choice …
essential to facilitate an understanding of urban mobility patterns and passengers' choice …
DeepTravel: Online transport mode identification based on low-rate sampling sensors through deep neural network
J Wang, Q Zhao, C Wang - 2017 4th International Conference …, 2017 - ieeexplore.ieee.org
Transportation Mode Identification (TMI) has been studied for over 10 years, but few
researches focused on datasets sampled at low sampling rates with low localization rates as …
researches focused on datasets sampled at low sampling rates with low localization rates as …
Breaking the limits of transportation mode detection: Applying deep learning approach with knowledge-based features
J Iskanderov, MA Guvensan - IEEE Sensors Journal, 2020 - ieeexplore.ieee.org
Activity recognition and transportation mode detection are the key research areas for context-
aware systems. In smart environments such as cities, buildings, transportation systems etc …
aware systems. In smart environments such as cities, buildings, transportation systems etc …
The devil is in the details: An efficient convolutional neural network for transport mode detection
Transport mode detection is a classification problem aiming to design an algorithm that can
infer the transport mode of a user given multimodal signals (GPS and/or inertial sensors). It …
infer the transport mode of a user given multimodal signals (GPS and/or inertial sensors). It …
Enhancing Transparency in Transport Mode Detection: An Interpretable Ensemble Model Classifier
A Aziz, NK Youkee, FS Ahmed… - … on Advances in …, 2024 - ieeexplore.ieee.org
Transport Mode Detection (TMD) is a crucial component in the field of Intelligent
Transportation Systems (ITS), taking advantage of current advancements in Artificial …
Transportation Systems (ITS), taking advantage of current advancements in Artificial …