In-vehicle Person Counting

The people counting system is developed to be able to find out the number of passengers who use public transportation vehicles during different times of the day and to send this information to the passenger information systems. It helps determine the time-based passenger density points, the trip planning of the public transport vehicles and provide the information whether public transport vehicles are overloaded or empty when the vehicles are moving.

The system can be used with fare-based counting systems. The number of paying passengers is easily known in traditional ticket-based systems, but it is not known at which stops the passengers get off. The main benefits of the passenger counting system, which can provide now passenger statistics who get off the vehicle with high accuracy through different technologies and methods, are as follows:
Ability to collect data at a lower cost than fare-based counting, and with higher accuracy, and to collect data as needed.
More extensive knowledge and a more precise relation to the identification of passengers’ getting on and getting off locations.
Thanks to the infrared technology, the capacity to understand the individual passenger flow in the buses increases.
People/passenger counting system includes sensor module (PCSSMTS and/or PCSSMTD) and a control unit. The control unit has an input for door on/off status information. Optionally, this control can be added to the system.
The sensor module located at each door entrance of the public transport vehicle detects passengers’ getting on and getting off actions and reports the increase or decrease in the number of passengers in the vehicle. The control unit records the incoming count values ​​together with the GPS data and time. In addition, the control unit can also send the actual data to the data center on an optional basis via GPRS.
The passenger counting system is a software program whose management panel works in the web environment. Thanks to this panel, you can easily receive passengers’ getting on and getting off statistics on a table or graph basis with their route, bus, number of trips, time and date. In addition, we can present additional features such as getting off- getting on values ​​for each stop, and the number of passengers waiting at stops, and so on.