Traffic Jam Warning System

Abstract

Traffic jam is one of the most problem all of the nation. It has existed in Vietnam for many years and has no signal reduces. With the traffic jam always happens, it brings many advantages for the people lives. They can be delayed transportation easily. Up to now, the government has done many plans to reduce the traffic jam. However, it still happens and doesn’t decrease. The recommended solution for this product is detecting vehicle by using “Deep Learning” with a suitable feature Faster Region Convolutional Neural Networking and apply the K-Nearest Neighbor algorithm to calculation and define the traffic jam. With the application, users can check the route or receive information about the status of the road to manage their time in order to avoid entering the congested street.