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As a result, this work introduces SAMARITAN, a framework for rural-road network monitoring based on MCS. SAMARITAN analyzes the spatio-temporal trajectories from cyclists extracted from the fitness application Strava so as to uncover potential obstacles in a target road network. The framework has been evaluated in a real-world network of forest paths in the city of Cieza (Spain) showing quite promising results.<\/jats:p>","DOI":"10.3233\/ais-200586","type":"journal-article","created":{"date-parts":[[2020,12,29]],"date-time":"2020-12-29T15:58:50Z","timestamp":1609257530000},"page":"37-54","source":"Crossref","is-referenced-by-count":3,"title":["Forest path condition monitoring based on crowd-based trajectory data analysis"],"prefix":"10.1177","volume":"13","author":[{"given":"Francisco","family":"Arcas-Tunez","sequence":"first","affiliation":[{"name":"Polytechnic School, Universidad Cat\u00f3lica de Murcia (UCAM), Murcia, Spain. E-mails:\u00a0farcas@ucam.edu,\u00a0fterroso@ucam.edu"}]},{"given":"Fernando","family":"Terroso-Saenz","sequence":"additional","affiliation":[{"name":"Polytechnic School, Universidad Cat\u00f3lica de Murcia (UCAM), Murcia, Spain. 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