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http://dx.doi.org/10.6109/jicce.2019.17.2.142

Android Application for Connecting Cycling Routes on Strava Segments  

Mulasastra, Intiraporn (Department of Computer Engineering, Kasetsart University)
Kao-ian, Wichpong (Department of Computer Engineering, Kasetsart University)
Publication Information
Journal of information and communication convergence engineering / v.17, no.2, 2019 , pp. 142-148 More about this Journal
Abstract
Relatively few countries provide separate bicycle lanes for cyclists. Hence, tools for suggesting cycling routes are essential for a safe and pleasant cycling experience. This study aims to develop a mobile application to build cycling routes based on user preferences, specifically location, search radius, ride distance, and number of optimal routes. Our application calls the Strava API to retrieve Strava cycling segments crowdsourced from the cycling community. Then, it creates a graph consisting of the start and end points of these segments. Beginning from a user-specified location, the depth-first search algorithm (DFS) is applied to find routes that conform to the user's preferences. Next, a set of optimal routes is obtained by computing a trade-off ratio for every discovered route. This ratio is calculated from the lengths of all segments and the lengths of all connecting paths. The connected routes can be displayed on a map on an Android device or exported as a GPX file to a bike computer. Future work must be performed to improve the design of the user interface and user experience.
Keywords
Android application; Bike navigator; Depth-First Search; GPX; Strava segments;
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