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AuthorFilali, Fethi
AuthorTayeb, Fatima
AuthorChihaoui, Hamadi
Available date2024-10-20T10:43:19Z
Publication Date2022
Publication NameISC2 2022 - 8th IEEE International Smart Cities Conference
ResourceScopus
URIhttp://dx.doi.org/10.1109/ISC255366.2022.9922573
URIhttp://hdl.handle.net/10576/60222
AbstractOn February 2020, Qatar entered the Guinness World Record by opening the world's longest continuous cycling track developed by the Public Works Authority - Ashghal. Gaining insights of the usage of the so called Olympic Cycling Track (OCT) such as biker count, travel time, speed, riding periodicity, and location origin, allows for the development of better cycling user experience, operational planning and maintenance. This paper attempts to conduct this analysis based on data collected from WaveTraf a sensing system that anonymously detects and tracks the movement of Bluetooth and WiFi-enabled devices. Data from four WaveTraf IoT sensors, deployed along the track, is cleaned, prepossessed and analysed to reveal riding patterns in the OCT track. An effective data cleaning technique was applied to detect and clean the noise in the data caused by detected devices from roads close of the OCT track. Analysis results demonstrate clear seasonality and trend in the riding pattern which was proven to be associated to the weather conditions as well as the normal work schedules.
SponsorThis work was made possible by NPRP Grant No.: NPRP12S-0304-190212 from the Qatar National Research Fund (a member of The Qatar Foundation). The statements made herein are solely the responsibility of the authors.
Languageen
PublisherInstitute of Electrical and Electronics Engineers Inc.
SubjectBike Riding
Data analysis
IoT Sensors
Smart mobility
TitleAnalyzing Riding Activities on the World's Longest Continuous Cycling Path Using Non-Intrusive IoT Sensors
TypeConference
dc.accessType Full Text


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