Using Data Mining and Vehicular Networks to Estimate the Severity of Traffic Accidents-Reference-Cited by-同舟云学术

Using Data Mining and Vehicular Networks to Estimate the Severity of Traffic Accidents

Published:2012 Issue: Volume: Page:37-46
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
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Author:

Fogue Manuel,Garrido Piedad,Martinez Francisco J.,Cano Juan-Carlos,Calafate Carlos T.,Manzoni Pietro

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-30864-2_4.pdf

Reference18 articles.

1. Beshah, T., Hill, S.: Mining Road Traffic Accident Data to Improve Safety: Role of Road-Related Factors on Accident Severity in Ethiopia. In: Proceedings of AAAI Artificial Intelligence for Development (AI-D 2010), Stanford, CA, USA (March 2010)

2. Bradley, A.P.: The use of the area under the ROC curve in the evaluation of machine learning algorithms. Pattern Recognition 30, 1145–1159 (1997)

3. Chong, M., Abraham, A., Paprzycki, M.: Traffic accident analysis using machine learning paradigms. Informatica 29, 89–98 (2005)

4. Cooper, G.F., Herskovits, E.: A bayesian method for the induction of probabilistic networks from data. Machine Learning 9, 309–347 (1992)

5. Dirección General de Tráfico (DGT). The main statistics of road accidents. Spain (2010), http://www.dgt.es/portal/es/seguridad_vial/estadistica

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