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

Jani Sainio²  Jan Westerholm²  Juha Oksanen¹  Jamal Jokar Arsanjani³  Ming-Hsiang (Ming) Tsou³ 

[1] Department of Geoinformatics and Cartography, Finnish Geospatial Research Institute, National Land Survey of Finland, Masala FIN-02430, Finland; E-Mail:;Faculty of Science and Engineering, Åbo Akademi University, Turku FIN-20520, Finland; E-Mail:;Faculty of Science and Engineering, Åbo Akademi University, Turku FIN-20520, Finland; E-Mail

关键词: big data;    heat map;    data privacy;   

DOI  :  10.3390/ijgi4041813

来源: mdpi

【 摘 要 】

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.

【 授权许可】

CC BY   
© 2015 by the authors; licensee MDPI, Basel, Switzerland.