transport demand management

The Modern Public Transportation is Passenger-Aware

Although a self-driving bus or train is still a long way off, there are other approaches to automate public transit. It starts with knowing where passengers are, where they want to go, how much they wait and what they do.

The Case for Transportation Analytics

Public transportation agencies will benefit from knowing more about passenger movement and behavior.


  • Fleet optimization with real-time demand
  • Eliminate human monitoring


  • Monetize digital signage based on traffic
  • Contextual advertising

Passenger Experience

  • Reduce wait time
  • Reduce crowded buses
  • Inform passengers to reduce expectation gap

Buses and Trains Need Simple-to-Deploy Sensors

Existing passenger counting solutions are reliant on car power and require a time-consuming and expensive setup. They necessitate professional installation and upkeep.

Eta Compute’s low-cost, battery-operated sensors require no wiring and merely need to be mounted to the car. They are easy to use and require little maintenance.

Public Transportation Require Reliable and Accurate Solutions

Reliability is essential in public transportation. Any flaw causes a chain reaction that affects the entire system. As a result, any component of the system should simply operate.

Intelligent sensors from Eta Compute are dependable and always-on. They’re accurate, thanks to a mix of powerful algorithms, and they use energy-efficient components that don’t need to be cooled.

Some Concrete Use Cases

Transportation Demand Management

Better operation is possible with accurate passenger flow monitoring for each car and bus. Fleet management becomes more precise in order to service the busiest areas at the most convenient times.

Digital Signage at Bus Stops

Aside from the wait time, digital signage can also provide information about how congested a line is and alternative options.
Furthermore, monitoring the passenger traffic in front of the digital sign allows for precise monetization of advertisements.