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Mobility Data Analytics with KNOT: The KNime mObility Toolkit

2023
Developments in Web and Wireless technologies have enabled the diffusion of large volumes of geospatial mobility data, and new challenges and opportunities have emerged for the GIScience research community, interested in extracting knowledge from these data.
Di Martino Sergio   +3 more
openaire   +2 more sources

Web-based Visualization of Transportation Networks for Mobility Analytics

International Symposiu on Visual Information Communication and Interaction, 2019
Mobility analytics is a growing field with various use-cases. Specific tools for visual, spatial, and spatio-temporal analysis are not only important for trained professionals and experts of GIS, but also required by non-domain experts, such as urban ...
A. Schoedon   +4 more
semanticscholar   +1 more source

Enhancing Large Language Models for Mobility Analytics with Semantic Location Tokenization

Knowledge Discovery and Data Mining
The widespread adoption of location-based services has led to the generation of vast amounts of mobility data, providing significant opportunities to model user movement dynamics within urban environments.
Yile Chen   +5 more
semanticscholar   +1 more source

Web-Centric Human Mobility Analytics: Methods, Applications, and Future Directions in the LLM Era

The Web Conference
Human mobility analytics is essential to enabling a broad range of web-related applications, such as navigation, urban planning, and point-of-interest (POI) recommendation.
Zijian Zhang   +7 more
semanticscholar   +1 more source

Visual Analytics for Mobile Eye Tracking

IEEE Transactions on Visualization and Computer Graphics, 2017
The analysis of eye tracking data often requires the annotation of areas of interest (AOIs) to derive semantic interpretations of human viewing behavior during experiments. This annotation is typically the most time-consuming step of the analysis process.
Kuno, Kurzhals   +3 more
openaire   +2 more sources

Digital Twin-based Driver Risk-Aware Intelligent Mobility Analytics for Urban Transportation Management

arXiv.org
Traditional mobility management strategies emphasize macro-level mobility oversight from traffic-sensing infrastructures, often overlooking safety risks that directly affect road users.
Tao Li   +8 more
semanticscholar   +1 more source

Mobile data analytics

SIGSPATIAL Special, 2016
With the rapid advancement of mobile devices and location acquisition technologies, more and more large-scale location-based data have been available for data analytics and realizing new location-aware services. Various large-scale location-based data including user-generated data in location-based social networks (LBSNs) and GPS data reported from ...
openaire   +1 more source

Mobilytics: Mobility Analytics Framework for Transferring Semantic Knowledge

IEEE Transactions on Mobile Computing
The proliferation of sensor-equipped smartphones has led to the generation of vast amounts of GPS data, such as timestamped location points, enabling a range of location-based services.
Shreya Ghosh   +3 more
semanticscholar   +1 more source

Smart Mobility in the Cloud: Enabling Real-Time Situational Awareness and Cyber-Physical Control Through a Digital Twin for Traffic

IEEE transactions on intelligent transportation systems (Print), 2023
This article presents the design, implementation, and use cases of the Chattanooga Digital Twin (CTwin) towards the vision for next-generation smart city applications for urban mobility management.
Haowen Xu   +9 more
semanticscholar   +1 more source

Big mobility data analytics

2022
Ο πρωτοφανής ρυθμός παραγωγής δεδομένων τροχιάς που παρατηρείται τα τελευταία χρόνια και προκλήθηκε από τον πολλαπλασιασμό των συσκευών με δυνατότητα GPS, δημιουργεί νέες προκλήσεις όσον αφορά την αποθήκευση, την αναζήτηση, την ανάλυση και την εξαγωγή γνώσης από δεδομένα κίνησης.
openaire   +1 more source

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