Results 31 to 40 of about 50,329,501 (342)
GeoSOT-Based Spatiotemporal Index of Massive Trajectory Data
ISPRS International Journal of Geo-Information, 2019 With the rapid development of global positioning technologies and the pervasiveness of intelligent mobile terminals, trajectory data have shown a sharp growth trend both in terms of data volume and coverage.
Chunyao Qian +5 more
doaj +1 more source
Micro- and Macroscopic Road Traffic Analysis using Drone Image Data [PDF]
Leibniz Transactions on Embedded Systems, 2022 The current development in the drone technology, alongside with machine learning based image processing, open new possibilities for various applications. Thus, the market volume is expected to grow rapidly over the next years.
Kruber, Friedrich +5 more
doaj +1 more source
Trajectory Data Management and Mining: A Survey From Deep Learning to the LLM Era [PDF]
IEEE Transactions on Knowledge and Data EngineeringTrajectory computing, which encompasses trajectory data management and mining, has been widely studied owing to its role in practical applications such as location services, urban traffic, and public safety.
Wei Chen +13 more
semanticscholar +1 more source
MobilityDL: a review of deep learning from trajectory data [PDF]
GeoInformaticaTrajectory data combines the complexities of time series, spatial data, and (sometimes irrational) movement behavior. As data availability and computing power have increased, so has the popularity of deep learning from trajectory data.
Anita Graser +4 more
semanticscholar +1 more source
Tracking Data Trajectories in IoT
Proceedings of the 5th International Conference on Information Systems Security and Privacy, 2019 The Internet of Things (IoT) devices access and process large amounts of data. Some of them are sensitive and can become a target for security attacks. As a consequence, it is crucial being able to trace data and to identify their paths. We start from the specification language IOT-LYSA, and propose a Control Flow Analysis for statically predicting ...
Bodei C., Galletta L.
openaire +1 more source
Sustainability, 2022 Connected and Automated Vehicles (CAV) have been rapidly developed, which, inevitably, renders that human-driven and autonomous vehicles share the road.
Da-Yi Qu +3 more
semanticscholar +1 more source
Determination and Visualization of Uncertainties in 4D-Trajectory Prediction [PDF]
, 2012 Future air traffic management relies on trajectory forecasting for higher safety, efficiency and environmental friendliness. The quality of trajectory predictions is subject to errors from a variety of sources.
Weitz, P. +3 more
core +1 more source
Straight-path queries in trajectory data [PDF]
Journal of Discrete Algorithms, 2015 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Berg, de, M.T., Mehrabi, A.D.
openaire +5 more sources
Analyzing Spatiotemporal Daily Travel Source Carbon Emissions Based on Taxi Trajectory Data
IEEE Access, 2021 Analyzing the spatial-temporal distribution of travel carbon emissions will help government departments to develop effective policies and strategies for carbon emission management.
Maopeng Sun +4 more
doaj +1 more source
Map Matching Algorithm: Trajectory and Sequential Map Analysis on Road Network [PDF]
EAI Endorsed Transactions on Industrial Networks and Intelligent Systems, 2018 The Global Positioning System (GPS) tracking data is essential for sensor data sources. It plays an important role for various systems like Traffic assessment and Prediction, routing and navigation, Fleet management etc.
Kanta Sharma +4 more
doaj +1 more source