Precision Passenger Counting
Optimize transit operations with accurate, real-time passenger data. Transform your network with a single click.
Optimize transit operations with accurate, real-time passenger data. Transform your network with a single click.
Accurately tracking passenger flow with Tranzitup’s APC sensors drives operational efficiency. High-precision data empowers transit operators to make informed decisions and align with stakeholders seamlessly.
A robust sensor portfolio designed for buses, trams, trains, ferries, and more, delivering reliable passenger counts across all public transit vehicles.
Boost efficiency with real-time and historical passenger data for optimized vehicle scheduling and route planning.
Elevate rider satisfaction with demand-driven services powered by precise, objective passenger data.
Minimize boarding and alighting times with real-time data for improved load balancing and crowd management.
Empower your transit network with precise, scalable passenger counting solutions.
Monitor wide doors efficiently with a single sensor, ensuring comprehensive passenger counting even in challenging setups.
Differentiate between adults and children for accurate fare validation and enhanced data insights.
Automatically detect objects like bicycles and wheelchairs for inclusive and accurate transit planning.
Tranzitup’s APC sensors, powered by Xovis, deliver high accuracy, low-light sensitivity, and fast data processing. Robust and easy to install, these AI-powered sensors are ideal for real-time transit analytics.
Infrastructure associated with public transportation, such as stations, stops and other workplaces, are a rich source of objective data that operators and concessionaires can use to improve performance. Understanding people flow in these areas can help real estate owners, facility managers, and retailers improve resource planning—including staff schedules—and better manage costs. Responsibly capture valuble data about visitor flows across large areas with Xovis' powerful multisensor framework.