Anomaly Detection for Road Traffic: A Visual Analytic Framework by using SVM and HMM |
Author(s): |
| Saba Eram Khan , wainganga college of engineering and managment |
Keywords: |
| Multidimensional, Visual Analytic, Road Traffic, Anomalous, Congestion |
Abstract |
|
Traffic control is one of the fastest developing technologies in the world. In India numbers of vehicles are growing very fast which leads to accidents, traffic jam issues. Traffic analysis becomes a challenging problem. The analysis of large amount of multidimensional road traffic data for anomaly detection is a complex task. Visual analytic helps in detecting anomalous behavior in road traffic. In this project author try to explore the multidimensional road traffic data, detect anomalous events and explain the anomalous event. In this project author try to find out the probability of vehicles which meet to accident in future, it also used to avoid traffic congestion and improve safe driving. |
Other Details |
|
Paper ID: IJSRDV6I22104 Published in: Volume : 6, Issue : 2 Publication Date: 01/05/2018 Page(s): 3417-3421 |
Article Preview |
|
|
|
|
