Combining residual and LSTM recurrent networks for transportation mode detection using multimodal sensors integrated in smartphones

C Wang, H Luo, F Zhao, Y Qin - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In recent years, with the rapid development of public transportation, the ways people travel
has become more diversified and complicated. Transportation mode detection, as a …

Smartphone data classification technique for detecting the usage of public or private transportation modes

P Castrogiovanni, E Fadda, G Perboli, A Rizzo - IEEE Access, 2020 - ieeexplore.ieee.org
One of the main endeavors of smart cities is the organization and subsidization of public
transportation. To achieve this, it is important to obtain information about the way in which …

A novel segment-based approach for improving classification performance of transport mode detection

MA Guvensan, B Dusun, B Can, HI Turkmen - Sensors, 2017 - mdpi.com
Transportation planning and solutions have an enormous impact on city life. To minimize the
transport duration, urban planners should understand and elaborate the mobility of a city …

Smartphone-Based CO2e Emission Estimation Using Transportation Mode Classification

O Brimacombe, LC González, J Wahlström - IEEE Access, 2023 - ieeexplore.ieee.org
As a first step towards decreasing greenhouse gas emissions originating from
transportation, it is critical that we create efficient systems for monitoring individual travel …

Transportation mode detection using machine learning techniques on mobile phone sensor data

I Drosouli, A Voulodimos, G Miaoulis - Proceedings of the 13th ACM …, 2020 - dl.acm.org
The everyday use of means of transportation by millions of people combined with the
continuous spreading of smartphones which are now equipped with various sensors, imply …

Transportation mode detection using temporal convolutional networks based on sensors integrated into smartphones

P Wang, Y Jiang - Sensors, 2022 - mdpi.com
In recent years, with the development of science and technology, people have more and
more choices for daily travel. However, assisting with various mobile intelligent services by …

GLMLP-TRANS: A transportation mode detection model using lightweight sensors integrated in smartphones

X Liu - Computer Communications, 2022 - Elsevier
Transportation mode detection (TMD), as an essential part of Intelligent Transportation
Systems, aims at analyzing human current transportation activities, and can be widely …

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 …

AdvMOB: Interactive visual analytic system of billboard advertising exposure analysis based on urban digital twin technique

Q Yu, D Feng, G Li, Q Chen, H Zhang - Advanced Engineering Informatics, 2024 - Elsevier
Digital outdoor billboards have emerged as powerful marketing tools for engaging
consumers. However, the industry grapples with challenges, notably in accurately gauging …

Urban transportation mode detection from inertial and barometric data in pedestrian mobility

FT Alaoui, H Fourati, A Kibangou, B Robu… - IEEE Sensors …, 2021 - ieeexplore.ieee.org
This paper presents a novel urban transportation mode detection (TMD) method based on
inertial and barometric data. To the best of the authors knowledge, this is the first time that a …