Abstract
This study proposes the HTML5 geolocation-based vehicle speed alert application aims to facilitate the passengers who could not see the information on the dashboard of vehicle. The traditional vehicle speed determined from HTML5 geolocation API is improved using haversine distance calculation. The speed limit value is automatically set according to the specify type of vehicle and the current type of road. The prototype was developed and tested under the transportation regulations in Thailand. The result reveals that the enhanced HTML5 geolocation speed determination using haversine distance significantly improves the accuracy of vehicle speed detection compared with the traditional HTML5 geolocation API.
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Jakkhupan, W. (2014). A Prototype of Mobile Speed Limits Alert Application Using Enhanced HTML5 Geolocation. In: Hwang, D., Jung, J.J., Nguyen, NT. (eds) Computational Collective Intelligence. Technologies and Applications. ICCCI 2014. Lecture Notes in Computer Science(), vol 8733. Springer, Cham. https://doi.org/10.1007/978-3-319-11289-3_32
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DOI: https://doi.org/10.1007/978-3-319-11289-3_32
Publisher Name: Springer, Cham
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