[HTML][HTML] Transportation Mode Detection Using Learning Methods and Self-Contained Sensors

I Gharbi, F Taia-Alaoui, H Fourati, N Vuillerme, Z Zhou - Sensors, 2024 - mdpi.com
Due to increasing traffic congestion, travel modeling has gained importance in the
development of transportion mode detection (TMD) strategies over the past decade …

TMD-BERT: A Transformer-Based Model for Transportation Mode Detection

I Drosouli, A Voulodimos, P Mastorocostas, G Miaoulis… - Electronics, 2023 - mdpi.com
Aiming to differentiate various transportation modes and detect the means of transport an
individual uses, is the focal point of transportation mode detection, one of the problems in …

The design and maintenance of low-orbit navigation constellation for traffic control in a smart city

Y Zheng, B Lin, R Li, Y Liu - Sensors, 2022 - mdpi.com
The traffic control issue in the smart city scenario gives rise to the higher requirements of
Global Navigation Satellite System (GNSS) services, especially in terms of navigation …

Multiple tree model integration for transportation mode recognition

Y Ren - Adjunct Proceedings of the 2021 ACM International …, 2021 - dl.acm.org
The team RY presents a solution for Sussex-Huawei Locomotion-Transportation (SHL)
recognition challenge, which aims at differentiating eight transportation modes with mobile …

Transportation mode detection using an optimized long short-term memory model on multimodal sensor data

I Drosouli, A Voulodimos, G Miaoulis, P Mastorocostas… - Entropy, 2021 - mdpi.com
The advancement of sensing technologies coupled with the rapid progress in big data
analysis has ushered in a new era in intelligent transport and smart city applications. In this …

Transportation mode recognition based on low-rate acceleration and location signals with an attention-based multiple-instance learning network

C Siargkas, V Papapanagiotou… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Transportation mode recognition (TMR) is a critical component of human activity recognition
(HAR) that focuses on understanding and identifying how people move within transportation …

Kick-scooters identification in the context of transportation mode detection using inertial sensors: Methods and accuracy

FT Alaoui, H Fourati, A Kibangou, B Robu… - Journal of Intelligent …, 2022 - Taylor & Francis
This work presents a novel transportation mode detection algorithm that handles the
recognition of kick-scooters. In 2015, 10 minutes of data from a kick-scooter were considered …

[PDF][PDF] Smartphone-based recognition of access trip phase to public transport stops via machine learning models

SH Hosseini, G Gentile - Transport and Telecommunication Journal, 2022 - sciendo.com
The usage of mobile phones is nowadays reaching full penetration rate in most countries.
Smartphones are a valuable source for urban planners to understand and investigate …

The Intelligent Blockchain for the Protection of Smart Automobile Hacking

SK Kim, ES Jang - Journal of Multimedia Information System, 2022 - koreascience.kr
In this paper, we have recently created self-driving cars and self-parking systems in human-
friendly cars that can provide high safety and high convenience functions by recognizing the …

[Retracted] Fault Diagnosis of Subway Mechanical Equipment Based on 5G Intelligent Sensor Network Signal Processing

Z Li - Journal of Sensors, 2022 - Wiley Online Library
The application of traditional feature extraction methods in subway mechanical fault
diagnosis has attracted the attention of researchers. Based on the 5G intelligent sensor …