In the recent decade the incidence of animal fatalities involving trains has remained high in the country. According to recent survey by Wildlife Trust of India (WTI), 72 animals are dying each year due to collision with speeding trains. Its high time we protect the lives of endangered species of animals. Though railway authorities ordered the drivers to reduce the speed of the trains inside forest areas, it does not have any fruitful results so far. We need a mechanism to alert the animals from crossing railway tracks when the train is approaching near. This paper proposes a simple and efficient technique which alerts animals about speeding trains. Unlike other techniques, our proposed mechanism does not need human intervention for operation. © 2012 Springer-Verlag GmbH Berlin Heidelberg.
CITATION STYLE
Jayachitra, V. P., & Ramachandran, S. (2012). Preventing forest animals from train accidents using outlier-analysis Algorithm in wsn. In Advances in Intelligent and Soft Computing (Vol. 132 AISC, pp. 571–581). Springer Verlag. https://doi.org/10.1007/978-3-642-27443-5_66
Mendeley helps you to discover research relevant for your work.