Rapid Transit Route Access Control for Bus and Ambulance

Abstract

The city's development significantly depends on the public transportation infrastructure. It significantly affects every aspect of society, including the economy. Despite designing specific routes for them, many public transit systems nevertheless confront a significant traffic issue. These routes are used by a lot of private vehicles, which causes traffic issues. As a result, there are delays, which eventually render the BRT (Bus Rapid Transport) system inefficient. There have been multiple attempts by city cooperations in order to make boom barriers to stop the entry of unwanted vehicles in the BRT route. Yet they are ineffective, making room for critics. This research work intends to provide a bus detection and vehicle detection system that aids to identify, detect, for public transportation buses and ambulances. Image classification plays a very important role in this application as several of the feature detection and image pre-processing techniques like BRISK and SIFT, ORB and Histogram Equalization were used to improve the efficiency of the application. The proposed system shows an accuracy of 86% for detecting the bus and ambulances and accordingly operating the barrier in the BRTS corridor.