Log in

Relevant bibliographies by topics / Temporal-constrained (sub-)trajectory clustering

Contents

Journal articles

Academic literature on the topic 'Temporal-constrained (sub-)trajectory clustering'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Temporal-constrained (sub-)trajectory clustering.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "Temporal-constrained (sub-)trajectory clustering"

1

Cheng, Xiaoqian, Chengming Li, Weibing Du, Jianming Shen, and Zhaoxin Dai. "Trip Extraction of Shared Electric Bikes Based on Multi-Rule-Constrained Homomorphic Linear Clustering Algorithm." ISPRS International Journal of Geo-Information 8, no. 12 (2019): 526. http://dx.doi.org/10.3390/ijgi8120526.

Full text

Abstract:

Trajectory data include rich interactive information of humans. The correct identification of trips is the key to trajectory data mining and its application. A new method, multi-rule-constrained homomorphic linear clustering (MCHLC), is proposed to extract trips from raw trajectory data. From the perspective of the workflow, the MCHLC algorithm consists of three parts. The first part is to form the original sub-trajectory moving/stopping clusters, which are obtained by sequentially clustering trajectory elements of the same motion status. The second part is to determine and revise the motion s

APA, Harvard, Vancouver, ISO, and other styles

2

Guo, Yishan, and Mandan Liu. "Spatial-temporal trajectory anomaly detection based on an improved spectral clustering algorithm." Intelligent Data Analysis 27, no. 1 (2023): 31–58. http://dx.doi.org/10.3233/ida-216185.

Full text

Abstract:

With the development of wireless communication technology, when users use wireless networks to meet various needs, wireless networks also record a large number of users’ spatial-temporal trajectory data. In order to better pay attention to the healthy development of students and promote the information construction on campus, a spectral clustering algorithm based on the multi-scale threshold and density combined with shared nearest neighbors (MSTDSNN-SC) is proposed. Firstly, it improves the affinity distance function based on the shortest time dis-tance-shortest time distance sub-sequence (ST

APA, Harvard, Vancouver, ISO, and other styles

3

Dritsas, Elias, Andreas Kanavos, Maria Trigka, Spyros Sioutas, and Athanasios Tsakalidis. "Storage Efficient Trajectory Clustering and k-NN for Robust Privacy Preserving Spatio-Temporal Databases." Algorithms 12, no. 12 (2019): 266. http://dx.doi.org/10.3390/a12120266.

Full text

Abstract:

The need to store massive volumes of spatio-temporal data has become a difficult task as GPS capabilities and wireless communication technologies have become prevalent to modern mobile devices. As a result, massive trajectory data are produced, incurring expensive costs for storage, transmission, as well as query processing. A number of algorithms for compressing trajectory data have been proposed in order to overcome these difficulties. These algorithms try to reduce the size of trajectory data, while preserving the quality of the information. In the context of this research work, we focus on

APA, Harvard, Vancouver, ISO, and other styles

4

Yang, Jinhao, Junwen Cao, and Mingyu Fang. "Personalized trajectory inference framework integrating driving behavior recognition and temporal dependency learning." PLOS One 20, no. 7 (2025): e0326937. https://doi.org/10.1371/journal.pone.0326937.

Full text

Abstract:

This study proposes a Driving style-Tri Channel Trajectory Model (DS-TCTM) to enhance vehicle trajectory prediction accuracy and driving safety. The framework operates through three rigorously designed stages: (1)Data preprocessing involving kinematics feature extraction, (2)Driving style recognition utilizing acceleration variation rate and average time headway combined with K-Means++ traffic density clustering and K-neighbor Gaussian mixture model (K-GMM) analysis to classify driving behaviors into conservative, moderate, and radical categories, and (3)Personalized trajectory prediction empl

APA, Harvard, Vancouver, ISO, and other styles

5

Pelekis, Nikos, Panagiotis Tampakis, Marios Vodas, Christos Doulkeridis, and Yannis Theodoridis. "On temporal-constrained sub-trajectory cluster analysis." Data Mining and Knowledge Discovery 31, no. 5 (2017): 1294–330. http://dx.doi.org/10.1007/s10618-017-0503-4.

Full text

APA, Harvard, Vancouver, ISO, and other styles

6

Liu, C. K., K. Qin, K. Chen, and R. Ma. "UNCOVERING THE AGGREGATION PATTERN OF GPS TRAJECTORY BASED ON SPATIOTEMPORAL CLUSTERING AND 3D VISUALIZATION." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3/W10 (February 7, 2020): 255–60. http://dx.doi.org/10.5194/isprs-archives-xlii-3-w10-255-2020.

Full text

Abstract:

Abstract. Constrained by road network structure, travel choice and city function zoning, GPS trajectory data exhibits significant spatiotemporal correlation. Unveiling the clustering and distribution patterns of GPS trajectory can help to better understand the travel behaviour as well as the corresponding spatial and temporal characteristics. This paper proposes an approach to identify and visualize the aggregation pattern from GPS trajectory data. Firstly, slow feature trajectory sequences are extracted from raw taxi trajectory data. Together with taxi states information, these sequences are

APA, Harvard, Vancouver, ISO, and other styles

7

Zhao, Yinan, Tao Liu, Xiang Feng, Zhanfeng Zhao, Wenqing Cui, and Yu Fan. "New Application: A Hand Air Writing System Based on Radar Dual View Sequential Feature Fusion Idea." Remote Sensing 14, no. 20 (2022): 5177. http://dx.doi.org/10.3390/rs14205177.

Full text

Abstract:

In recent years, non-contact human–computer interactions have aroused much attention. In this paper, we mainly propose a dual view observation system based on the frontal and side millimeter-wave radars (MWR) to collect echo data of the Air writing digits “0~9”, simultaneously. Additionally, we also propose a novel distance approximation method to make the trajectory reconstruction more efficient. To exploit these characteristics of spatial-temporal adjacency in handwriting digits, we propose a novel clustering algorithm, named the constrained density-based spatial clustering of application wi

APA, Harvard, Vancouver, ISO, and other styles

8

Matos, Tiago R., Hongye Liu, Masahiro Hirakawa, Ana Cristina Alho, and Jerome Ritz. "Maturation and Phenotypic Diversity of Human CD4+ Regulatory T Cells in Umbilical Cord Blood and Peripheral Blood from Healthy Donors." Blood 126, no. 23 (2015): 2357. http://dx.doi.org/10.1182/blood.v126.23.2357.2357.

Full text

Abstract:

Abstract Introduction: CD4+ FoxP3+ CD25+ regulatory T cells (Treg) are required for maintenance of immune tolerance and immune homeostasis. Quantitative or functional Treg deficiency has been correlated with autoimmune disease, allergy, allograft rejection and graft versus host disease. Conversely, increased Treg can suppress tumor immunity resulting in tumor progression. Treg express a large number of cellular markers that reflect their level of maturation, functionality, activation and migratory capacity. Nevertheless, it has not previously been possible to integrate the expression of these

APA, Harvard, Vancouver, ISO, and other styles

9

de Foy, B., W. Lei, M. Zavala, et al. "Modelling constraints on the emission inventory and on vertical diffusion for CO and SO<sub>2</sub> in the Mexico City Metropolitan Area using Solar FTIR and zenith sky UV spectroscopy." Atmospheric Chemistry and Physics Discussions 6, no. 4 (2006): 6125–81. http://dx.doi.org/10.5194/acpd-6-6125-2006.

Full text

Abstract:

Abstract. Emissions of air pollutants in and around urban areas lead to negative health impacts on the population. To estimate these impacts, it is important to know the sources and transport mechanisms of the pollutants accurately. Mexico City has a large urban fleet in a topographically constrained basin leading to high levels of carbon monoxide (CO). Large point sources of sulfur dioxide (SO2) surrounding the basin lead to episodes with high concentrations. An Eulerian grid model (CAMx) and a particle trajectory model (FLEXPART) are used to evaluate the estimates of CO and SO2 in the curren

APA, Harvard, Vancouver, ISO, and other styles

10

de Foy, B., W. Lei, M. Zavala, et al. "Modelling constraints on the emission inventory and on vertical dispersion for CO and SO<sub>2</sub> in the Mexico City Metropolitan Area using Solar FTIR and zenith sky UV spectroscopy." Atmospheric Chemistry and Physics 7, no. 3 (2007): 781–801. http://dx.doi.org/10.5194/acp-7-781-2007.

Full text

Abstract:

Abstract. Emissions of air pollutants in and around urban areas lead to negative health impacts on the population. To estimate these impacts, it is important to know the sources and transport mechanisms of the pollutants accurately. Mexico City has a large urban fleet in a topographically constrained basin leading to high levels of carbon monoxide (CO). Large point sources of sulfur dioxide (SO2) surrounding the basin lead to episodes with high concentrations. An Eulerian grid model (CAMx) and a particle trajectory model (FLEXPART) are used to evaluate the estimates of CO and SO2 in the curren

APA, Harvard, Vancouver, ISO, and other styles

More sources

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!