Modern Technology for Evolving Mass Public Transportation in Cities

Buses and Rapid transit are an integral part of the mass transit system, especially in big cities & have become a lifeline for many people. It has made commuting much easier and faster. With the increase in population, there has been a massive surge in the number of passengers leading to crowding at platforms and bus stops. Since the frequency of buses and rapid transit is uneven and lacks proper real-time tracking of buses, we see a vast discrepancy in the number of passengers traveling. Such discrepancies not only have a vast economic impact but also make travelling by buses difficult for regular commuters, also increasing the travelling time. Especially considering the COVID 19 situation, it can cause a lot of problems. Thus, there is a need for a system that can adjust itself according to the number of passengers and real-time tracking of public transportation systems available for passengers.With this paper, we aim towards providing an intelligent transportation system using real-time data to manage the frequency of mass transit systems by crowdsourcing people on bus stands in real-time using CCTV, analyzing the data, and making decisions realtime on the frequency of these mass transit systems by analyzing data through the help of data science and machine learning which would help in automation of rapid transit systems.