Animal Habit Monitoring System on the Road side to avoid animal collisions with Support Vector Machine Model.

摘要

Collisions between vehicle and animal still do not lose its significance in terms of traffic safety. In spite of, a lot measures to reduce the conflict have been established around the world it still hazardous for both of wildlife and people. In that case for remaining traffic safety we need advanced technology used control system. LDM (Local Dynamic Map) is a data store standardized by European Telecommunications Standards Institute, utilized for displaying location and status of road users on a dynamic map. Machine learning SVM (Support Vector Machine) model, which is used for both regression and classification problems, the objective of algorithm finding hyperplane to classify the data points in N-dimensional space. The main purpose of this research is to decrease the collisions between wildlife-vehicles by performing machine learning SVM predictions in LDM based database environment.