Filters








70,800 Hits in 4.4 sec

Mobility Viewer: An Eulerian Approach for Studying Urban Crowd Flow

Yuxin Ma, Tao Lin, Zhendong Cao, Chen Li, Fei Wang, Wei Chen
2016 IEEE transactions on intelligent transportation systems (Print)  
Studying human movement citywide is important for understanding the mobility and transportation patterns.  ...  We design a suite of visualization techniques to illustrate the dynamic evolutions of the flow over the networks.  ...  For example, by monitoring and exploring the crowd flow, the analysts in the city government can discover the area with high population density or mobility, and then determine what is happening in the  ... 
doi:10.1109/tits.2015.2498187 fatcat:dstdop3dsbb3lg5bwwosvvvph4

eSTIMe: Towards an All-in-One Geovisualization Environment for Daily Mobility Analysis

Aline Menin, Sonia Chardonnel, Paule-Annick Davoine, Luciana Nedel
2019 2019 32nd SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI)  
and flows, and to analyze and visualize the mobility dynamics at the individual and population levels.  ...  In addition to the visualization tools mentioned earlier, Shi et al. [10] visually explore mobility metrics to identify vibrancy, fluidity, commutation, and diversity patterns.  ... 
doi:10.1109/sibgrapi.2019.00014 dblp:conf/sibgrapi/MeninCDN19 fatcat:hvblc43hwzbl7ok2mmzdvo6s5q

From Fertilized Eggs to Complex Organisms: Models of Biological Pattern Formation [chapter]

Hans Meinhardt
1999 Lecture Notes in Computer Science  
Evolution of Neural Controllers with Adaptive Synapses and CompactGenetic Encoding p. 183 Sexual Signalling in an Artificial Population: When Does the Handicap Principle Work?  ...  Detectors p. 266 Evolutionary Design of Mobile Robot Behaviors for Action-Based Environment Modeling p. 271 On the Dynamics of Robot Exploration Learning p. 279 Artificial Autonomy in the Natural  ... 
doi:10.1007/3-540-48304-7_1 fatcat:uwmpy5iuyfbgtixvtio5xozebu

Using bundling to visualize multivariate urban mobility structure patterns in the São Paulo Metropolitan Area

Tallys G. Martins, Nelson Lago, Eduardo F. Z. Santana, Alexandru Telea, Fabio Kon, Higor A. de Souza
2021 Journal of Internet Services and Applications  
In this paper, we augment a recent bundling technique to support multi-attribute trail datasets for the visual analysis of urban mobility.  ...  However, it is challenging to visualize huge amounts of data from mobility datasets. Plotting raw trajectories on a map often causes data occlusion, impairing the visual analysis.  ...  We adapt CUBu to use bundling to find and visually explore mobility patterns created by different combinations (2021) 12:6 Page 3 of 32 of the attributes present in the OD survey, such as traffic  ... 
doi:10.1186/s13174-021-00136-9 fatcat:asbw4aciczem7lq6tx23sjkxka

Visualization of Urban Mobility Data from Intelligent Transportation Systems

Thiago Sobral, Teresa Galvão, José Borges
2019 Sensors  
To address the multivariate nature of spatiotemporal urban mobility data, researchers and practitioners have developed an extensive body of research and interactive visualization tools.  ...  This article surveys related studies to analyze which topics of urban mobility were addressed and their related phenomena, and to identify the adopted visualization techniques and sensors data types.  ...  Figure 9 . 9 The TaxiVis system for exploring mobility patterns from taxi trips [43] (adapted from [45] ). Figure 10 . 10 Semantic space map for visualization of mobility flows [41] .  ... 
doi:10.3390/s19020332 fatcat:degl2umu6nfk3i43zgxn7zpirq

Exploring Multi-Scale Spatiotemporal Twitter User Mobility Patterns with a Visual-Analytics Approach

Junjun Yin, Yizhao Gao, Zhenhong Du, Shaowen Wang
2016 ISPRS International Journal of Geo-Information  
In this paper, we employed a visual-analytics approach to studying multi-scale spatiotemporal Twitter user mobility patterns in the conterminous United States during the year 2014.  ...  By further studying such mobility patterns in different temporal ranges, we identified both consistency and seasonal fluctuations regarding the distance decay effects in the corresponding mobility patterns  ...  In this paper, we have employed a visual-analytics approach to exploring the Twitter user mobility patterns across multi-level spatial scales and temporal ranges in the conterminous United States (i.e.  ... 
doi:10.3390/ijgi5100187 fatcat:n6n2t7ma3rfythezibys34guvu

Understanding Urban Mobility and Pedestrian Movement [chapter]

Marija Bezbradica, Heather J. Ruskin
2019 Smart Urban Development [Working Title]  
visualization.  ...  In this chapter we explore the pedestrian viewpoint, aids to familiarity with and ease of navigation in the urban environment, and the impact of novel modes of individual transport (as options such as  ...  Figure 5 5 shows emergence of flow patterns Understanding Urban Mobility and Pedestrian Movement DOI: http://dx.doi.org/10.5772/intechopen.86801 originating from such features in a hypothetical peak commute  ... 
doi:10.5772/intechopen.86801 fatcat:dn7x5lfip5glxijg6qlku2vvpy

Visually Analysing Urban Mobility: Results and Insights from Three Student Research Projects

Till Nagel
2020 KN - Journal of Cartography and Geographic Information  
In this paper, we present results and insights from a set of mobility visualization projects, students from computer science and design developed over one semester.  ...  The resulting prototypes visualize (a) user-generated bike trajectories, (b) population movement, and (c) public transit passengers.  ...  We want to thank our partners GeoNet.MRN, SAP, DFKI, Stadt Kaiserslautern, and RNV for their expertise, and their willingness to participate in an open-ended process with uncertain results.  ... 
doi:10.1007/s42489-020-00040-5 fatcat:gerowtoopvdsngboduersadu2e

GIS and Transport Modeling—Strengthening the Spatial Perspective

Martin Loidl, Gudrun Wallentin, Rita Cyganski, Anita Graser, Johannes Scholz, Eva Haslauer
2016 ISPRS International Journal of Geo-Information  
They allow for an integration of various data sources into a scalable, dynamic and adaptable geospatial framework (see Figure 1 ).  ...  First, ICT (Information and Communication Technologies) has not only changed the way people and goods are moved, but also what we know about this mobility.  ...  Acknowledgments: The initial concept of this paper was developed at the GI-Forum Conference 2015 in Salzburg  ... 
doi:10.3390/ijgi5060084 fatcat:pbyyvbghmfdifkd37nc7puawti

The City Pulse of Buenos Aires [article]

Carlos Sarraute, Carolina Lang, Nicolas B. Ponieman, Sebastian Anapolsky
2017 arXiv   pre-print
We use anonymized cell phone data to estimate the distribution of the population in the city using different periods of time.  ...  We also go further to explore new possibilities opened by these methods.  ...  We used a dataset of geolocalized CDR (call detail records), from which we examine the mobility patterns of mobile phone users.  ... 
arXiv:1707.01032v2 fatcat:ehrpc5l3bbgnpkbrrki64pytcq

Multidimensional Proteomic Approach of Endothelial Progenitors Demonstrate Expression of KDR Restricted to CD19 Cells

Coralie L. Guerin, Léa Guyonnet, Guillaume Goudot, Dominique Revets, Maria Konstantinou, Anna Chipont, Richard Chocron, Adeline Blandinieres, Lina Khider, Jeanne Rancic, Christophe Peronino, Benjamin Debuc (+14 others)
2020 Stem Cell Reviews and Reports  
We showed a redistribution of circulating CD34+ and CD19+ sub-populations in both situations. None of the immature cell population expresses KDR. Mobilized CD34+ expressed c-Kit.  ...  In order to better evaluate EPC phenotype, we performed imaging flow cytometry measurements of immature CD34+KDR+ cells in cord blood and showed that, after elimination of non-circular events, those cells  ...  care, Clinical investigation center and Hematology departments of the George Pompidou European Hospital in COVID-19 cohort for their help in taking care of patients and including them in the study.  ... 
doi:10.1007/s12015-020-10062-1 pmid:33205351 pmcid:PMC7670993 fatcat:rqlyqlbeabh73kurtdyttomvja

Visual Analytics of Mobility and Transportation: State of the Art and Further Research Directions

Gennady Andrienko, Natalia Andrienko, Wei Chen, Ross Maciejewski, Ye Zhao
2017 IEEE transactions on intelligent transportation systems (Print)  
In this paper, we describe recent developments in visual analytics that are related to the study of movement and transportation systems and discuss how visual analytics can enable and improve the intelligent  ...  create intelligent transportation systems that utilize the current abundance of multisource and multiform data related to the functionality and use of transportation infrastructure to better support human mobility  ...  to population mobility, activities, and lifestyles (such as records of mobile phone uses and georeferenced posts in social media) [17] .  ... 
doi:10.1109/tits.2017.2683539 fatcat:ie3er7ersncyhppoqejegejjfi

Modeling and Visualizing Smart City Mobility Business Ecosystems: Insights from a Case Study

Anne Faber, Sven-Volker Rehm, Adrian Hernandez-Mendez, Florian Matthes
2018 Information  
Our model represents a first explication of categories for visualizing business ecosystem models in a smart city mobility context.  ...  Agile processes and roles to collaboratively manage and adapt business ecosystem models and visualizations are defined.  ...  The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.  ... 
doi:10.3390/info9110270 fatcat:5xiydsgmarcllfavlbaadyn6ky

Spatiotemporal Patterns of Population Mobility and its Determinants in Chinese Cities Based on Travel Big Data

Zhen Yang, Weijun Gao, Xueyuan Zhao, Chibiao Hao, Xudong Xie
2020 Sustainability  
The patterns of population mobility and determinants explored in this paper can provide a new reference for the balanced development of regional economy.  ...  Compared with traditional census data, mobile-phone-based travel big data can describe the mobility patterns of a population in a timely, dynamic, complete, and accurate manner.  ...  This pattern of population flow revealed the differences in China's regional development, so it was particularly important to explore the causes of this phenomenon, which may be geopolitical, economic,  ... 
doi:10.3390/su12104012 fatcat:otbt5ibvifdglcxg5abheptepy

Reinforced Epidemic Control: Saving Both Lives and Economy [article]

Sirui Song, Zefang Zong, Yong Li, Xue Liu, Yang Yu
2020 arXiv   pre-print
DURLECA hires a novel graph neural network, namely Flow-GNN, to estimate the virus-transmission risk induced by urban mobility.  ...  Besides, we design two exploration strategies to improve the agent's searching efficiency and help it get rid of local optimums.  ...  Figure 4 manifests that DURLECA's smartness in distributing quotas according to both epidemic risks and mobility patterns.  ... 
arXiv:2008.01257v1 fatcat:psr22puozbhqrj5cas7vbd2dze
« Previous Showing results 1 — 15 out of 70,800 results