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Exploring pattern-aware travel routes for trajectory search
2013
ACM Transactions on Intelligent Systems and Technology
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The PATS framework comprises two components: travel behavior exploration and trajectory search. ...
In this article, given a spatial range and a user preference of depth/breadth specified by a user, we develop a Pattern-Aware Trajectory Search (PATS) framework to retrieve the top K trajectories passing ...
CONCLUSIONS AND FUTURE WORKS In this article, we have dealt with the problem of searching for pattern-aware travel routes from trajectory datasets. ...
doi:10.1145/2483669.2483681
fatcat:m47lacxqmfgsblysmfsjl64qba
Trajectory-aware mobile search
2012
Proceedings of the 2012 ACM annual conference on Human Factors in Computing Systems - CHI '12
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We present Trajectory-Aware Search (TAS), a mobile local search application that predicts the user's destination in real-time based on location data from the current trip and shows search results near ...
Most location-aware mobile applications only make use of the user's current location, but there is an opportunity for them to infer the user's future locations. ...
Figure 1 . 1 Trajectory-Aware Search Interface. User is traveling from the purple triangle to the red square with their current location shown by a blue dot. ...
doi:10.1145/2207676.2208644
dblp:conf/chi/AminiBKTK12
fatcat:5wb4yuzc2vdmbdrihkrknxodoi
ENRICHING WALKING ROUTES WITH TOURISM ATTRACTIONS RETRIEVED FROM CROWDSOURCED USER GENERATED DATA
2020
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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In this research, we showcase Flickr geotagged crowdsource photo database as a source for mining users' trajectories to effectively compute walking tourism routes. ...
Handling, mining and interpreting these user-generated 'digital footprints' can be used to reconstruct travel trajectories of users to recover their activity and knowledge. ...
This allows for fast and intuitive analysis of the photographers' activity patterns in space by analyzing the cells traversed by their trajectories. . ...
doi:10.5194/isprs-annals-v-4-2020-95-2020
fatcat:xwwexo6hnfhtdc4frddxbwno7e
Mobility Modes Awareness from Trajectories Based on Clustering and a Convolutional Neural Network
2019
ISPRS International Journal of Geo-Information
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After the combination of route patterns and travel activity information, different mobility modes existing in history trajectories were discovered. ...
Firstly, route patterns of trajectories were mined based on unsupervised origin and destination (OD) points clustering. ...
Acknowledgments: The authors would like to thank the US Coast Guard Navigation Center for providing an access to the AIS data.
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/ijgi8050208
fatcat:p5o2ynqvyfb4rf2bobvbgwcsdm
Survey: Optimal Travel Route Discovery based on Topic Interest and Image Attributes
2018
International Journal of Trend in Scientific Research and Development
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In order to provide appropriate search results, explore the representative Skyline concept, the Skyline route, which best describes the tradeoffs between different POI features. ...
However, it does not consider the cost of travel routes. So use the minimum spanning tree to calculate cost travel routes. ...
travel patterns. ...
doi:10.31142/ijtsrd11303
fatcat:a23xghswqjhc5nyhkef5seh2vm
A Survey on Trajectory Data Management, Analytics, and Learning
[article]
2020
arXiv
pre-print
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2020 pre-print arXiv:2003.11547v1 fatcat:iwvb5ec7hfcsjddlevdisyz3ma
We also explore four closely related analytical tasks commonly used with trajectory data in interactive or real-time processing. Deep trajectory learning is also reviewed for the first time. ...
Recent advances in sensor and mobile devices have enabled an unprecedented increase in the availability and collection of urban trajectory data, thus increasing the demand for more efficient ways to manage ...
[144] explored the spatial-temporal trajectory similarity join problem for road networks. ...
arXiv:2003.11547v2
fatcat:5gf5h5skqjbrhf67cflygggnky
A Survey on Trajectory Data Mining: Techniques and Applications
2016
IEEE Access
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This framework and the survey can be used as a guideline for designing future trajectory data mining solutions. INDEX TERMS Trajectory data mining, big data applications, data mining techniques. ...
A trajectory is typically represented by a sequence of timestamped geographical locations. A wide spectrum of applications can benefit from the trajectory data mining. ...
One typical application is route recommendation for a trip to multiple places. ...
doi:10.1109/access.2016.2553681
fatcat:bwz3c6oyfjahroihps7i3wo76q
Travel Route Recommendation System using User Keyword Search
2020
International journal of recent technology and engineering
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By combining the power of Data Analytics of data mining, Big Data and programming capabilities of Java, this project focuses on building a customer centric Keyword Aware Travel Route Framework." ...
The competitiveness in marketing and need of fulfilling customer experience in travel have given many opportunities for today's technological advancements to play a crucial role in it. ...
Travel Route Exploration "In this segment, we present the algorithm of trajectory reconstruction and how to apply Skyline query for our online suggestion framework. ...
doi:10.35940/ijrte.e7275.038620
fatcat:bi2cvyycz5g7jpc23i5hxkdrf4
PREDICTION OF DESTINATIONS AND ROUTES IN URBAN TRIPS WITH AUTOMATED IDENTIFICATION OF PLACE TYPES AND STAY POINTS
2018
Revista Brasileira de Cartografia
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Predicting the destination and the route that someone is likely to take is useful for various purposes, such as to prevent people from going through congested routes. ...
Most of existing approaches to this prediction problem only consider geographic patterns within their models, although this appears to be not enough for creating a robust predictor. ...
Then a pattern matching function searches for the set of segments of the path traveled in a paths tree. ...
doaj:05ab37f7d1c04e8e911286b3ca6ffe16
fatcat:dlxivr5fdzdarpr5vmwhatdmpy
Exploring App-Based Taxi Movement Patterns from Large-Scale Geolocation Data
2021
ISPRS International Journal of Geo-Information
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This study is designed to leverage ubiquitous mobile computing techniques on exploring app-based taxi movement patterns in large cities. ...
To study patterns at different scales, we comprehensively explore both occupied and unoccupied vehicle movement characteristics through not only individual trips but also their aggregations. ...
For example, mobility data have become increasingly available due to the extensive usage of location-aware techniques, which consist of a set of moving objects and their trajectory or time-stamped locations ...
doi:10.3390/ijgi10110751
fatcat:2ct3jg3yprf4fm7zzt4tuilfju
Travel Data Sequence from Multi-Source Recommendation System
2018
International Journal of Engineering & Technology
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And for image based search similar images with the tag information are retrieved for the query image users. ...
Due to examining this, extended data allows us to invent the profiles, daily mobility patterns, and results of the user's. ...
These data are not only convenient for reliable POIs points of curiosity, travel routes but give an opportunity to mention personalized collapsible POIs and routes based on user's concentration [2] . ...
doi:10.14419/ijet.v7i4.6.20242
fatcat:pmxochrkavgf5bcfaxdzhqq2cq
Linked Open Data in Location-Based Recommendation System on Tourism Domain: a survey
2020
IEEE Access
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Last, we also guide the possible future research direction for the linked open data in location-based recommendations on tourism. ...
tourism domain, many studies are using linked open data to address the problem of location-based recommendation by integrating data with other linked open datasets to enrich data and tourism content for ...
Route Recommendations provide the output of the recommended travel route and travel itinerary. • GPS Trajectory-based Recommendations are to use travel patterns and behavior from GPS trajectory records ...
doi:10.1109/access.2020.2967120
fatcat:yqwkrko6mzfw5e5kckfaxbxzju
Visual Exploration of Sparse Traffic Trajectory Data
2014
IEEE Transactions on Visualization and Computer Graphics
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Abstract-In this paper, we present a visual analysis system to explore sparse traffic trajectory data recorded by transportation cells. ...
We apply existing trajectory aggregation techniques to the dataset, studying cell status pattern and inter-cell flow pattern. ...
ACKNOWLEDGMENTS The authors wish to thank the anomynous reviewers for their valuable comments. This work is supported by NSFC No. 61170204 and HKUST grant No. SRFI11EG15PG. ...
doi:10.1109/tvcg.2014.2346746
pmid:26356895
fatcat:dj24unsng5a2xjoiwsbujfkqgm
From plague to coronavirus: vessel trajectory data from ship automatic identification systems for epidemic modeling1
2020
Journal of Travel Medicine
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Vessel trajectory data from ship Automatic Identification Systems (AIS) is available online and can be extracted and analyzed, as we illustrate in the case of the current coronavirus epidemic. ...
Acknowledgements We thank Daniela Perrotta for her contributions to the analysis of the Madagascar data. We thank the UN Global Platform for access to its AIS database. ...
patterns in the AIS data to estimate possible transmission routes through commercial and cruise ships. ...
doi:10.1093/jtm/taaa072
pmid:32391908
fatcat:rlca3o5vjrgxrk6tdbpoz56y6q
From Raw Pedestrian Trajectories to Semantic Graph Structured Model—Towards an end-to-end spatiotemporal analytics framework
2021
Procedia Computer Science
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Produced Space-Time Trajectories (STT) perfectly match the concept of temporal geography, as to assess pedestrian exposure to the above risks. ...
Produced Space-Time Trajectories (STT) perfectly match the concept of temporal geography, as to assess pedestrian exposure to the above risks. ...
time instances of the object, • Trajectory Clustering [2] [6] , in order to discover meaningful trajectories, • Trajectory Exploration: geo-visual analytics for exploring movement data that links three-dimensional ...
doi:10.1016/j.procs.2021.03.018
fatcat:f5fina36vzcrpljqgoyfbta4be
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