Generating Heat Maps of Popular Routes Online from Massive Mobile Sports Tracking Application Data in Milliseconds While Respecting Privacy
The breakthrough of GPS-equipped smartphones has enabled the collection of track data from human mobility on massive scales that can be used in route recommendation, urban planning and traffic management. In this work we present a fast map server that can generate and visualize heat maps of popular...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2015-09-01
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| Series: | ISPRS International Journal of Geo-Information |
| Subjects: | |
| Online Access: | http://www.mdpi.com/2220-9964/4/4/1813 |
| _version_ | 1818914879306727424 |
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| author | Jani Sainio Jan Westerholm Juha Oksanen |
| author_facet | Jani Sainio Jan Westerholm Juha Oksanen |
| author_sort | Jani Sainio |
| collection | DOAJ |
| description | The breakthrough of GPS-equipped smartphones has enabled the collection of track data from human mobility on massive scales that can be used in route recommendation, urban planning and traffic management. In this work we present a fast map server that can generate and visualize heat maps of popular routes online from massive sports track data based on client preferences, e.g., running routes lasting less than an hour. The heat maps shown respect user privacy by not showing routes with less than a predefined number of different users, for instance five. The results are represented to the client using a dynamic tile layer. The current implementation uses data collected by the Sports Tracker mobile application with over 800,000 different tracks and 2.8 billion GPS data points. Stress tests indicate that the server can handle hundreds of simultaneous client requests in a single server configuration. |
| first_indexed | 2024-12-19T23:53:24Z |
| format | Article |
| id | doaj.art-7877dfbfcd8343aeb1bfc79bde4ac916 |
| institution | Directory Open Access Journal |
| issn | 2220-9964 |
| language | English |
| last_indexed | 2024-12-19T23:53:24Z |
| publishDate | 2015-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | ISPRS International Journal of Geo-Information |
| spelling | doaj.art-7877dfbfcd8343aeb1bfc79bde4ac9162022-12-21T20:01:04ZengMDPI AGISPRS International Journal of Geo-Information2220-99642015-09-01441813182610.3390/ijgi4041813ijgi4041813Generating Heat Maps of Popular Routes Online from Massive Mobile Sports Tracking Application Data in Milliseconds While Respecting PrivacyJani Sainio0Jan Westerholm1Juha Oksanen2Faculty of Science and Engineering, Åbo Akademi University, Turku FIN-20520, FinlandFaculty of Science and Engineering, Åbo Akademi University, Turku FIN-20520, FinlandDepartment of Geoinformatics and Cartography, Finnish Geospatial Research Institute, National Land Survey of Finland, Masala FIN-02430, FinlandThe breakthrough of GPS-equipped smartphones has enabled the collection of track data from human mobility on massive scales that can be used in route recommendation, urban planning and traffic management. In this work we present a fast map server that can generate and visualize heat maps of popular routes online from massive sports track data based on client preferences, e.g., running routes lasting less than an hour. The heat maps shown respect user privacy by not showing routes with less than a predefined number of different users, for instance five. The results are represented to the client using a dynamic tile layer. The current implementation uses data collected by the Sports Tracker mobile application with over 800,000 different tracks and 2.8 billion GPS data points. Stress tests indicate that the server can handle hundreds of simultaneous client requests in a single server configuration.http://www.mdpi.com/2220-9964/4/4/1813big dataheat mapdata privacy |
| spellingShingle | Jani Sainio Jan Westerholm Juha Oksanen Generating Heat Maps of Popular Routes Online from Massive Mobile Sports Tracking Application Data in Milliseconds While Respecting Privacy ISPRS International Journal of Geo-Information big data heat map data privacy |
| title | Generating Heat Maps of Popular Routes Online from Massive Mobile Sports Tracking Application Data in Milliseconds While Respecting Privacy |
| title_full | Generating Heat Maps of Popular Routes Online from Massive Mobile Sports Tracking Application Data in Milliseconds While Respecting Privacy |
| title_fullStr | Generating Heat Maps of Popular Routes Online from Massive Mobile Sports Tracking Application Data in Milliseconds While Respecting Privacy |
| title_full_unstemmed | Generating Heat Maps of Popular Routes Online from Massive Mobile Sports Tracking Application Data in Milliseconds While Respecting Privacy |
| title_short | Generating Heat Maps of Popular Routes Online from Massive Mobile Sports Tracking Application Data in Milliseconds While Respecting Privacy |
| title_sort | generating heat maps of popular routes online from massive mobile sports tracking application data in milliseconds while respecting privacy |
| topic | big data heat map data privacy |
| url | http://www.mdpi.com/2220-9964/4/4/1813 |
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