Information system for data urban bike trails collection and analysis about
DOI:
https://doi.org/10.18372/1990-5548.50.11393Keywords:
Java EE, database, Android, Google Firebase, cycling infrastructure, transport planning, data analysis, geodetic dataAbstract
The shortcoming of modern software tools for processing data about bike trails in the cities ofUkraine are examines in the article. Based on the defined technical requirements analysis of availabletechnologies stack was conducted and the most effective method for creating a system to collect andanalyze data on urban bike trails was defined. Also new software solutions to implement improvedsystems for handling data on city bike trails were proposed. Used technologies: Java EE, Google Maps,Google App Engine service and Google Firebase databaseReferences
City target program of construction and development of cycling infrastructure in Kyiv in 2015-2019 years [Online] http://kga.gov.ua/files/Presentation_Cycling_Development.pdf.
J. Hood, E. Sall, and B. Charlton, A GPS-based bicycle route choice model for San Francisco, California [Online] http://www.sfcta.org/sites/default/files/content/IT/CycleTracks/BikeRouteChoiceModel.pdf
G. Romanilos, M. Z. Austwick, D. Ettema & J. D. Kruijf, “Big Data and Cycling,” Transport Reviews, pp. 114–133, 2015.
What is Google Maps API [Online] https://developers.google.com/maps/
Authenticating Users on App Engine Using Firebase [Online]
https://cloud.google.com/appengine/docs/python/authenticating-users-firebase-appengine
Geurmeur, Daniel & Uhruh, Amy, Google App Engine Java and GWT Application Development, (1st ed.), Packt Publishing, 2009, 480 p.
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