Advancing Object Detection in Transportation with Multimodal Large Language Models (MLLMs): A Comprehensive Review and Empirical Testing
This study aims to comprehensively review and empirically evaluate the application of
multimodal large language models (MLLMs) and Large Vision Models (VLMs) in object …
multimodal large language models (MLLMs) and Large Vision Models (VLMs) in object …
Application of machine learning to predict transport modes from GPS, accelerometer, and heart rate data
Background There has been an increased focus on active transport, but the measurement of
active transport is still difficult and error-prone. Sensor data have been used to predict active …
active transport is still difficult and error-prone. Sensor data have been used to predict active …
A multi-stage fusion network for transportation mode identification with varied scale representation of GPS trajectories
Accurate transportation mode identification is essential for traffic management and travel
planning. The rapid development of GPS-enabled devices has made it both popular and …
planning. The rapid development of GPS-enabled devices has made it both popular and …
Transportation Mode Detection Technology to Predict Wheelchair Users' Life Satisfaction in Seoul, South Korea
Transportation mode detection (TMD) has been proposed as a computational technology to
obtain mobility information. However, previous TMD studies mainly focused on improving …
obtain mobility information. However, previous TMD studies mainly focused on improving …
Efficient Cloud-Sourced Transport Mode Detection Using Trajectory Data: A Semi-Supervised Asynchronous Federated Learning Approach
The Internet of Things enables collaborative efforts in pattern recognition tasks within
intelligent transportation systems, such as transport mode detection (TMD). However …
intelligent transportation systems, such as transport mode detection (TMD). However …
Travel Mode Identification for Non-Uniform Passive Mobile Phone Data
The collection of individual GPS data, as a substitute for traditional travel surveys, is
hindered by low response rates and high costs. Meanwhile, passive mobile phone data …
hindered by low response rates and high costs. Meanwhile, passive mobile phone data …
POPAyI: Muscling Ordinal Patterns for low-complex and usability-aware transportation mode detection
I Cardoso-Pereira, JB Borges, AC Viana… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
Detecting transportation modes' usability in spatiotemporal urban trajectories can provide
valuable insights into the mobility preferences of urban populations, helping epidemic …
valuable insights into the mobility preferences of urban populations, helping epidemic …
A study on the geometric and kinematic descriptors of trajectories in the classification of ship types
Y Tavakoli, L Peña-Castillo, A Soares - Sensors, 2022 - mdpi.com
The classification of ships based on their trajectory descriptors is a common practice that is
helpful in various contexts, such as maritime security and traffic management. For the most …
helpful in various contexts, such as maritime security and traffic management. For the most …
A deep semi-supervised machine learning algorithm for detecting transportation modes based on GPS tracking data
Transportation research has benefited from GPS tracking devices since a higher volume of
data can be acquired. Trip information such as travel speed, time, and most visited locations …
data can be acquired. Trip information such as travel speed, time, and most visited locations …
TeLeGaIT: Transfer Learning on Fog for Generalizable and Real-Time Transport Mode Detection
M Kamalian, A Taherkordi… - 2024 9th International …, 2024 - ieeexplore.ieee.org
The knowledge of users' transport modes, eg, cars or buses, enables innovative
transportation services, such as automatic ticketing and navigation. A promising approach …
transportation services, such as automatic ticketing and navigation. A promising approach …