2017/12/15 by Nipun Wijerathne, Wijerathne, Nipun, Sanjana Kadaba Viswanath +8
Computer Science · Engineering · Social Sciences · #Computers and Society (cs.CY) #FOS: Computer and information sciences #Human Mobility and Location-Based Analysis #Indoor and Outdoor Localization Technologies #Mobile Crowdsensing and Crowdsourcing
paper · pdf · doi:10.48550/arxiv.1712.05545
openalex publication_date 2017/12/15 · openalex created_date 2022/10/03 · openalex updated_date 2026/07/28
This is a no brainer. Using bicycles to commute is the most sustainable form\nof transport, is the least expensive to use and are pollution-free. Towns and\ncities have to be made bicycle-friendly to encourage their wide usage.\nTherefore, cycling paths should be more convenient, comfortable, and safe to\nride. This paper investigates a smartphone application, which passively\nmonitors the road conditions during cyclists ride. To overcome the problems of\nmonitoring roads, we present novel algorithms that sense the rough cycling\npaths and locate road bumps. Each event is detected in real time to improve the\nuser friendliness of the application. Cyclists may keep their smartphones at\nany random orientation and placement. Moreover, different smartphones sense the\nsame incident dissimilarly and hence report discrepant sensor values. We\nfurther address the aforementioned difficulties that limit such crowd-sourcing\napplication. We evaluate our sensing application on cycling paths in Singapore,\nand show that it can successfully detect such bad road conditions.\n