• The intelligent data collection module comprises a GPS module and a Wi-Fi module.
• The GPS module is configured to receive route data of the public transportation vehicle, wherein the route data comprises coordinates of one or more stations of the public transportation vehicle.
• The Wi-Fi module is configured to collect Wi-Fi data from a plurality of vehicles present in the traffic stream.
• The prediction processing module is configured to determine a correlation between the data received from the GPS module and the data collected from the Wi-Fi module.
• The power supply module comprises AC power supplies and DC power supplies for the system.

The invention further discloses a  method for estimating travel time for a traffic stream with respect to a public transportation vehicle in real-time comprising:

• Receiving, by a GPS module, route data of the public transportation vehicle
• Congregating, by the GPS module, the route data based on a plurality of variables dividing the data in to one or more sections
• Collecting, by a Wi-Fi module, Wi-Fi data from a plurality of vehicles present in the traffic stream
• Determining, by a prediction processing module, a correlation between the data received from the GPS module and from the Wi-Fi module
• Predicting, by the prediction processing module the travel time for the traffic stream based on the correlation
• The method disclosed is capable of controlling the vehicles commuting via one or more stations
• The receiving module is located at one or more stations and controls the vehicles commuting via the one or more stations therein receiving at least one route data indicating the location of said public transportation vehicle  
• The prediction processing module utilizes linear regression and Artificial Neural Network, ANN, technique.
• The said display module is configured to the one or more stations and/or a mobile device and wherein the user is able to view the travel time, in real-time, through the display module