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 …
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 …
Abstract The study of Transportation Mode Detection (TMD) has become a popular research field in recent years. It will be a crucial part of Smart mobility and Smart cities in upcoming …
The widespread utilization of smartphones has provided extensive availability to Inertial Measurement Units, providing a wide range of sensory data that can be advantageous for …
Transportation Mode Detection (TMD) is an important task for the Intelligent Transportation System (ITS) and Lifelog. TMD, using smartphone built-in sensors, can be a low-cost and …
Q Tang, H Cheng - Transportation Research Interdisciplinary Perspectives, 2024 - Elsevier
The wide utilization of smartphones has provided extensive availability to Inertial Measurement Units, providing a wide range of sensory data that can be advantageous for …
X Liang, Y Zhang, G Wang, S Xu - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Understanding people's transportation modes is beneficial for empowering many intelligent transportation systems, such as supporting urban transportation planning. Yet, current …
With the rapid development of mobile Internet techniques, using the sensor-rich smartphones to sense various contexts attracts much attention, such as transportation mode …
Q Tang, K Jahan, M Roth - 2022 IEEE Intelligent Vehicles …, 2022 - ieeexplore.ieee.org
Transportation mode detection from smartphone data is investigated as a relevant problem in the multi-modal transportation systems context. Neural networks are chosen as a timely …