Abstract
Traveling has become one of the most popular trends nowadays. People travel for business, study, vacation, religious activity and many more. Nonetheless, while travelling, their safety and health condition can be a major concern to travelers as well as concern from their family members. There exists many existing smart traveler app for the purpose of locating a traveler. However, they might produce accurate location. Predicting location in all apps is largely based on the speed of a walking traveler. This paper discusses the techniques for more accurate location tracking and location prediction of a traveler. The techniques are able to track the movement of the traveler using location tracking techniques and predict the location of a missing traveler based on parameters such as walking speed, age, gender, weather condition and the health condition. The results based on an app developed in this research show that the techniques are more accurate and efficient. Also, with these techniques, a better emergency alert system can be incorporated in a smart traveler app.
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Aminuddin, M.A.I.M., Osman, M.A., Zainon, W.M.N.W., Talib, A.Z. (2020). Location Tracking and Location Prediction Techniques for Smart Traveler Apps. In: Bi, Y., Bhatia, R., Kapoor, S. (eds) Intelligent Systems and Applications. IntelliSys 2019. Advances in Intelligent Systems and Computing, vol 1037. Springer, Cham. https://doi.org/10.1007/978-3-030-29516-5_8
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DOI: https://doi.org/10.1007/978-3-030-29516-5_8
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