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Exploring pattern-aware travel routes for trajectory search

Ling-Yin Wei, Wen-Chih Peng, Wang-Chien Lee
2013 ACM Transactions on Intelligent Systems and Technology  
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

Shahriyar Amini, A.J. Brush, John Krumm, Jaime Teevan, Amy Karlson
2012 Proceedings of the 2012 ACM annual conference on Human Factors in Computing Systems - CHI '12  
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

M. Mor, S. Dalyot
2020 ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
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

Rui Chen, Mingjian Chen, Wanli Li, Jianguang Wang, Xiang Yao
2019 ISPRS International Journal of Geo-Information  
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

Asha Murali, Amina Beevi A
2018 International Journal of Trend in Scientific Research and Development  
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]

Sheng Wang, Zhifeng Bao, J. Shane Culpepper, Gao Cong
2020 arXiv   pre-print
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

Zhenni Feng, Yanmin Zhu
2016 IEEE Access  
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  
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

Francisco Dantas Nobre Neto, Cláudio de Souza Baptista, Cláudio Elízio Calazans Campelo
2018 Revista Brasileira de Cartografia  
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

Wenbo Zhang, Chang Xu
2021 ISPRS International Journal of Geo-Information  
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

Ms. Shobarani, Dr. Anandam Velagandula, Mr. Ravula Arun Kumar, B Anandkumar
2018 International Journal of Engineering & Technology  
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

Phatpicha Yochum, Liang Chang, Tianlong Gu, Manli Zhu
2020 IEEE Access  
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

Zuchao Wang, Tangzhi Ye, Min Lu, Xiaoru Yuan, Huamin Qu, Jacky Yuan, Qianliang Wu
2014 IEEE Transactions on Visualization and Computer Graphics  
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

Katherine E Hoffmann Pham, Miguel Luengo-Oroz
2020 Journal of Travel Medicine  
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

Lamia Karim, Azedine Boulmakoul, Karine Zeitouni
2021 Procedia Computer Science  
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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