Abstract
Recently, there have been strong demand and interest for developing methods to analyze driving data for extracting traffic safety information. In this chapter, we study a method to extract incident factors that interfere with smooth driving for making safety map by using smartphone as a terminal data logger. In automobile research field, several methods for detecting sudden braking have been proposed; however, the detection of the factors those disturb the driving process, which drivers should pay attention, has not been fully discussed. Our method is based on smartphone with GPS information, therefore sophisticated equipments such as speed cameras are not required. We highly expect to utilize data from community in which each member shares smartphone data for generating incident map collectively. In our method, we apply the IMAC method (a dynamic map generating method) [1] for generating safety map. We carry out computer simulations and take real-world experiments in order to validate a part of safety map which generated by the proposed method. The result shows that based on the proposed method, safety map are correctly archived.
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Chau, D.V., Kubo, M., Sato, H., Namatame, A. (2014). Design of Safety Map with Collectives of Smartphone Sensors. In: Spagnolo, P., Mazzeo, P., Distante, C. (eds) Human Behavior Understanding in Networked Sensing. Springer, Cham. https://doi.org/10.1007/978-3-319-10807-0_20
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DOI: https://doi.org/10.1007/978-3-319-10807-0_20
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