Live occupancy with AI compared to automatic passenger counting.

Imagine you want to go to a bar and there is a bouncer at the entrance who must decide whether the bar is full or not. The bouncer counts how many people come and go from the bar, but he doesn’t know the actual number of people currently in the bar. This is where the bartender comes in. The bartender “sees” how many people are at the bar. Together, the bouncer and the bartender can give a very accurate overview of the total number of guests.

What is the difference between counting and seeing?

The bar example shows how two factors can interact to achieve an optimal result: The same is true for occupancy detection in public transportation vehicles. Automatic passenger counting (APC) “counts” passengers boarding and alighting from public transport vehicles, while live occupancy with AI “sees” how many passengers are actually in a vehicle and thus determines the actual passenger load. By combining the data from both systems, the total number of passengers on a bus or train can be accurately determined.


Live Occupancy with AI

Using AI algorithms and existing infrastructure, such as surveillance cameras, this system detects people and determines occupancy in real time. It can be flexibly deployed in different locations in vehicles and can detect the occupancy of specific areas behind the door. The accuracy of occupancy detection is very high.

More here: Live Occupancy with AI

Automatic Passenger Counting (APC)

This system counts passengers via door sensors with an accuracy of 99 % according to VDV 457 2.1. The mathematical calculation of occupancy may be incorrect due to deviations, which may lead to inaccurate results. Recalibration is necessary, e.g. by defining a known “empty” state at a terminal stop. The accuracy of passenger counting is very high.

More here: Automatic Passenger Counting

What is the benefit of live occupancy information?

Public transport providers can use the data to optimize services and improve the overall passenger experience. Transport authorities can also use the data to monitor service performance and ensure that operators are meeting their contractual obligations. Finally, passengers can benefit from live occupancy information by making more informed travel decisions and avoiding crowded vehicles.

Live occupancy data can also be used in a number of other ways, including:


In shaping the future of mobility, Automatic Passenger Counting and AI with Intelligent Video Surveillance play a key role. These technologies not only provide accurate and effective solutions for passenger counting and occupancy detection, but are also an essential part of the “smart mobility” we want to see in the future. Together, we can improve the passenger experience, increase the efficiency of public transport and shape the city of the future. Because – the future of mobility is smart!