Abstract
Road accidents are one of the most common causes of death in many countries, so it is imperative that police and local authorities take appropriate measures to prevent them. Accident circumstances vary depending on place and time. Therefore, a determined geographical and temporal analysis is needed in order to predict and interpret future accident numbers. Our study shows how such an analysis can be carried out using geographical segmentation. In particular, we take into account the different accident circumstances and their influence on the number of road accidents in the context of time series analysis.
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Meißner, K., Pal, F., Rieck, J. (2020). Time Series Analysis and Prediction of Geographically Separated Accident Data. In: Sitek, P., Pietranik, M., Krótkiewicz, M., Srinilta, C. (eds) Intelligent Information and Database Systems. ACIIDS 2020. Communications in Computer and Information Science, vol 1178. Springer, Singapore. https://doi.org/10.1007/978-981-15-3380-8_13
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DOI: https://doi.org/10.1007/978-981-15-3380-8_13
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