Commutator Bus Transit Recommendation by Predicting Dynamic Bus Flow Occupancy Using Machine Learning

T Public bus transportation in India plays a major role in short and long-distance. The majority of the population in India depends on the bus daily for going to work, pursuing studies and many other essential purposes. Owing to this the congestion inside the bus increases. In the pandemic situation like COVID social distancing should be maintained and avoid the exchange of money and ticket plays an important factor. Further, the number of passengers within the bus has to fix with a limit that in turn has to plan for increased inefficient transportation. The proposed work implies that upon making the paper-based ticketing system to application-oriented ticket process exchange of money and the ticket can be avoided. Ticket payment by RFID card or scanning QR code can be done that makes travelling by bus much more comfortable during the pandemic situation. Machine learning helps in analyzing the dynamic count of passengers within the bus based on the source and destination a passenger enters inside the bus. Thus the congestion inside the bus predicted to plan the travel.