Abstract
Due to the huge number of accidents, improving driving safety around the world is becoming a priority. Providing efficient and cost effective solutions to detect driving behavior is quite a challenging research topic worldwide. Exploring several technologies including big data, machine learning, data mining and data analysis in general can help researchers to track vehicles and monitor drivers, since several sensors and devices can feed us with a huge amount of data. In this paper, we propose a GPS based method to track vehicles and detect different driving events. The main idea consists on exploiting GPS data to recognize several vehicular motion and proving the feasibility and efficiency of using GPS data in the driving events detection; Obtained results for the proposed method are promising.
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Notes
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SVM: Support Vector Machine.
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DTW: Dynamic Time Warping.
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Aymen, A., Imen, J., Sabra, M., Mosbah, M. (2020). Leveraging GPS Data for Vehicle Maneuver Detection. In: Krief, F., Aniss, H., Mendiboure, L., Chaumette, S., Berbineau, M. (eds) Communication Technologies for Vehicles. Nets4Cars/Nets4Trains/Nets4Aircraft 2020. Lecture Notes in Computer Science(), vol 12574. Springer, Cham. https://doi.org/10.1007/978-3-030-66030-7_4
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