[HTML][HTML] Traffic state estimation and classification on citywide scale using speed transition matrices

L Tišljarić, T Carić, B Abramović, T Fratrović - Sustainability, 2020 - mdpi.com
The rising need for mobility, especially in large urban centers, consequently results in
congestion, which leads to increased travel times and pollution. Advanced traffic …

[HTML][HTML] Integration of carbon dioxide sensor with GNSS receiver for dynamic air quality monitoring applications

L Yola, GA Nanditho, K Kobayashi, D Manandhar - Sensors International, 2024 - Elsevier
Air pollution is a significant problem in big cities due to the rapid increase of anthropogenic
activities and severe traffic congestion. Therefore, real-time and micro tools for air monitoring …

[HTML][HTML] Magnetic field gradient-based EKF for velocity estimation in indoor navigation

M Zmitri, H Fourati, C Prieur - Sensors, 2020 - mdpi.com
This paper proposes an advanced solution to improve the inertial velocity estimation of a
rigid body, for indoor navigation, through implementing a magnetic field gradient-based …

[HTML][HTML] The Real-Time Detection of Vertical Displacements by Low-Cost GNSS Receivers Using Precise Point Positioning

A Maciejewska, M Lackowski, T Hadas, K Maciuk - Sensors, 2024 - mdpi.com
Vertical displacements are traditionally measured with precise levelling, which is inherently
time consuming. Rapid or even real-time height determination can be achieved by the …

[HTML][HTML] Transition state matrices approach for trajectory segmentation based on transport mode change criteria

M Erdelić, T Carić, T Erdelić, L Tišljarić - Sustainability, 2022 - mdpi.com
Identifying distribution of users' mobility is an essential part of transport planning and traffic
demand estimation. With the increase in the usage of mobile devices, they have become a …

Comparison of the performance of gradient boosting, logistic regression, and linear Support Vector Classifier algorithms in classifying travel modes based on GNSS …

O Shamohammadi, P Pahlavani… - … Archives of the …, 2023 - isprs-archives.copernicus.org
Public transportation system capacity must be compatible with the frequency of daily trips.
Smart mobile phones can collect positioning data at different times, which can detect …

Classification of Travel Modes from Cellular Network Data Using Machine Learning Algorithms

L Tišljarić, D Cvetek, V Vareškić… - 2021 International …, 2021 - ieeexplore.ieee.org
Data availability in recent years has grown exponentially, allowing researchers in the
transport sector to harness valuable information regarding traffic flows. In that sense, cellular …

Road Traffic State Classification Based on Speed Transition Matrix

L Tišljarić - 2023 - repozitorij.unizg.hr
Sažetak The accelerated development of communication technologies in this decade has
allowed the use of large spatiotemporal traffic datasets for research related to intelligent …

[PDF][PDF] Transition State Matrices Approach for Trajectory Segmentation Based on Transport Mode Change Criteria. Sustainability 2022, 14, 2756

M Erdelic, T Caric, T Erdelic, L Tišljaric - 2022 - academia.edu
Identifying distribution of users' mobility is an essential part of transport planning and traffic
demand estimation. With the increase in the usage of mobile devices, they have become a …

벡터임베딩을활용한스마트폰궤적의이동모드분류

이지윤, 강영옥 - 대한공간정보학회지, 2023 - dbpia.co.kr
본 연구에서는 이동 궤적을 일정한 간격으로 분리하여 세그먼트를 추출하고 해당 구간의 이동
모드 (travel mode) 를 추론하였다. 특히 레이블이 없는 원시 데이터의 이동 모드를 효과적으로 …