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Exploring Multi-Scale Spatiotemporal Twitter User Mobility Patterns with a Visual-Analytics Approach
ISPRS International Journal of Geo-Information, 2016 Understanding human mobility patterns is of great importance for urban planning, traffic management, and even marketing campaign. However, the capability of capturing detailed human movements with fine-grained spatial and temporal granularity is still ...
Junjun Yin, Zhenhong Du
doaj +4 more sources
Urban Mobility Analysis With Mobile Network Data: A Visual Analytics Approach [PDF]
IEEE Transactions on Intelligent Transportation Systems, 2018 Urban planning and intelligent transportation management are facing key challenges in today’s ever more urbanized world. Providing the right tools to city planners is crucial to cope with these challenges. Data collected from citizens’ mobile communication can be used as the foundation for such tools. These kinds of data can facilitate various analysis
Hansi Senaratne +7 more
semanticscholar +6 more sources
Future Internet, 2023 Numerous real-life smart city application scenarios require joint analytics on unified views of georeferenced mobility data with environment contextual data including pollution and meteorological data.
Isam Mashhour Al Jawarneh +2 more
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Privacy-Friendly Mobility Analytics using Aggregate Location Data [PDF]
SIGSPATIAL/GIS, 2016 Location data can be extremely useful to study commuting patterns and disruptions, as well as to predict real-time traffic volumes. At the same time, however, the fine-grained collection of user locations raises serious privacy concerns, as this can ...
De Cristofaro, Emiliano +2 more
core +4 more sources
Combining edge and cloud computing for mobility analytics [PDF]
IFIP International Information Security Conference, 2017 Mobility analytics using data generated from the Internet of Mobile Things (IoMT) is facing many challenges which range from the ingestion of data streams coming from a vast number of fog nodes and IoMT devices to avoiding overflowing the cloud with ...
Cao, Hung +3 more
core +2 more sources
Movement analytics for sustainable mobility
Journal of Spatial Information Science, 2020 Mobility is central to urbanity, and urbanity is central to our common future as the world's population crowds into urban areas. This is creating a global urban mobility crisis due to the unsustainability of our 20th century transportation systems for ...
Harvey J. Miller
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Real-time streaming mobility analytics [PDF]
2013 IEEE International Conference on Big Data, 2013 Location prediction over mobility traces may find applications in navigation, traffic optimization, city planning and smart cities. Due to the scale of the mobility in a metropolis, real time processing is one of the major Big Data challenges. In this paper we deploy distributed streaming algorithms and infrastructures to process large scale mobility ...
Garzó, András +4 more
openaire +3 more sources
Urban Mobility Analytics (Dagstuhl Seminar 22162)
Dagstuhl Reports, 2022 This report documents the program and the outcomes of Dagstuhl Seminar 22162 "Urban Mobility Analytics". The seminar brought together researchers from academia and industry who work in complementary ways on urban mobility analytics. The seminar especially aimed at bringing together ideas and approaches from deep learning research, which is requiring ...
Jonietz, David +5 more
openaire +4 more sources
Evaluating Localization Accuracy of Automated Driving Systems
Sensors, 2021 Automated driving systems are in need of accurate localization, i.e., achieving accuracies below 0.1 m at confidence levels above 95%. Although during the last decade numerous localization techniques have been proposed, a common methodology to validate ...
Karl Rehrl, Simon Gröchenig
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Data & Policy, 2021 In this paper, we present the work conducted by Vodafone to enrich the understanding of people movement in Italy during the outbreak of the Coronavirus in 2020, and the tool developed to support the decisions taken by the authorities during that period ...
Francesco Calabrese +5 more
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