Secure storage scheme of trajectory data for digital tracking mechanism
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.23095
Abstract: The application of digital tracking mechanism introduces a series of leakage problems of users' personal sensitive information related to the trajectory. Therefore, we propose a secure storage scheme for trajectory data. Firstly, four‐dimensional spatiotemporal clustering… read more here.
Keywords: digital tracking; trajectory data; storage scheme; secure storage ... See more keywords
Discovery of evolving companion from trajectory data streams
Sign Up to like & getrecommendations! Published in 2020 at "Knowledge and Information Systems"
DOI: 10.1007/s10115-020-01471-2
Abstract: The widespread use of position-tracking devices leads to vast volumes of spatial–temporal data aggregated in the form of the trajectory data streams. Extracting useful knowledge from moving object trajectories can benefit many applications, such as… read more here.
Keywords: data streams; evolving companion; group; trajectory data ... See more keywords
Spatial–temporal travel pattern mining using massive taxi trajectory data
Sign Up to like & getrecommendations! Published in 2018 at "Physica A: Statistical Mechanics and its Applications"
DOI: 10.1016/j.physa.2018.02.064
Abstract: Abstract Deep understanding of residents’ travel patterns would provide helpful insights into the mechanisms of many socioeconomic phenomena. With the rapid development of location-aware computing technologies, researchers have easy access to large quantities of travel… read more here.
Keywords: trajectory; taxi trajectory; spatial temporal; travel pattern ... See more keywords
Leveraging tourist trajectory data for effective destination planning and management: A new heuristic approach
Sign Up to like & getrecommendations! Published in 2022 at "Tourism Management"
DOI: 10.1016/j.tourman.2021.104437
Abstract: Abstract Understanding tourist movements provides insights for destination planning, service design and marketing. The key challenge is to develop a tool that can capture the value in the tourist mobility data. This study presents a… read more here.
Keywords: destination; new heuristic; heuristic approach; destination planning ... See more keywords
Modelling imperfect knowledge via location semantics for realistic privacy risks estimation in trajectory data
Sign Up to like & getrecommendations! Published in 2022 at "Scientific Reports"
DOI: 10.1038/s41598-021-03762-2
Abstract: Mobility patterns of vehicles and people provide powerful data sources for location-based services such as fleet optimization and traffic flow analysis. Location-based service providers must balance the value they extract from trajectory data with protecting… read more here.
Keywords: imperfect knowledge; semantics; trajectory data; privacy ... See more keywords
Analysis of road travel behaviour based on big trajectory data
Sign Up to like & getrecommendations! Published in 2020 at "Iet Intelligent Transport Systems"
DOI: 10.1049/iet-its.2019.0785
Abstract: The extensive use of mobile phones has produced a massive amount of trajectory data and provided the possibility to conduct travel behaviour analyses. In this study, a method of travel behaviour analysis is proposed based… read more here.
Keywords: regularity; travel; travel behaviour; hot spots ... See more keywords
Detecting regional dominant movement patterns in trajectory data with a convolutional neural network
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Geographical Information Science"
DOI: 10.1080/13658816.2019.1700510
Abstract: ABSTRACT Detecting movement patterns with complicated spatial or temporal characteristics is a challenge. The past decade has witnessed the success of deep learning in processing image, voice and text data. However, its application in movement… read more here.
Keywords: movement; convolutional neural; regional dominant; movement patterns ... See more keywords
Constrained trajectory simplification with speed preservation
Sign Up to like & getrecommendations! Published in 2019 at "Cartography and Geographic Information Science"
DOI: 10.1080/15230406.2019.1618200
Abstract: ABSTRACT The rapid increase in movement trajectory data causes data storage, transmission, computational processing, and visualization problems. These issues can be alleviated through trajectory simplification, which removes unnecessary details from raw trajectories. Most existing studies… read more here.
Keywords: trajectory simplification; position; speed; constrained trajectory ... See more keywords
Evaluating performance of selected vehicle following models using trajectory data under mixed traffic conditions
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Intelligent Transportation Systems"
DOI: 10.1080/15472450.2019.1675522
Abstract: Abstract This research work is focused on modeling vehicle following behavior under mixed traffic conditions. Vehicle-following behavior can be potentially utilized in building real-time drivers’ assistance systems or identifying collision escaping time thresholds for varying… read more here.
Keywords: traffic; vehicle; vehicle following; following behavior ... See more keywords
Modeling following behavior of vehicles using trajectory data under mixed traffic conditions: an Indian viewpoint
Sign Up to like & getrecommendations! Published in 2020 at "Transportation Letters"
DOI: 10.1080/19427867.2020.1751440
Abstract: ABSTRACT The present research work provides a methodology of calibration of the vehicle-following behavior in VISSIM using vehicle trajectory data obtained under non-lane-based mixed traffic conditions. In this context, two access-controlled mid-block sections, one on… read more here.
Keywords: lane; following behavior; mixed traffic; traffic conditions ... See more keywords
Periodic Pattern Detection Algorithms for Personal Trajectory Data Based on Spatiotemporal Multi-Granularity
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2930619
Abstract: Identifying periodic patterns in individuals’ trajectories is the basis of location awareness and personalized location services. It can help us understand personal behaviors. However, fuzziness and uncertainty of trajectory data, as well as noise and… read more here.
Keywords: multi granularity; periodic patterns; spatiotemporal multi; trajectory ... See more keywords