MARKET LEADER IN AI-Driven Capacity analytics & forecasting for Public Transport
Currently 3 rail operators from 2 countries are already using OpenCapacity's capacity forecasting or performance analytics tools.
Collect, analyse, predict, display
OpenCapacity is a system to collect, analyse, predict and display the occupancy, accessibility and performance of public transport.
We measure passenger load by using existing public transport data sources, such as weight sensors, CCTV cameras, door sensors, and ticketing information. Cross-referencing these sources helps us strengthen the overall accuracy of passenger numbers.
Real-time information display
Our system provides real-time information on available space inside train carriages, buses, and other modes of transport to passengers and operators via information screens, mobile apps and dashboards.
This will allow passengers to better plan their journeys and travel more comfortably, as well as allowing operators to further optimise their systems.
Machine learning and predictive modelling
Displaying the occupancy of an approaching train is not enough. At large transport hubs many passengers will alight from a busy train, making room for others waiting on the platform.
It is therefore essential to analyse the data for patterns and cross-reference it against other data sources like weather and event calendars to model and predict passenger flow.
A particularly pertinent piece of information is the capacity after alighting, which is the result of OpenCapacity’s predictive modelling.
Gerrit Boehm, PhD
Founder & CEO
Gerrit holds a PhD in Persuasive Technologies focusing on novel, innovative products and services to enhance Public Transportation. He has 13 years of experience in human-computer interaction, design engineering and emerging technologies. His core interests lie in IoT, Big Data & Smart Public Transport to deliver Intelligent Mobility.
Peter is a technical lead with over 20+ years experience in implementing solutions in health, infrastructure and finance. Over the last 6 years, he worked in lead roles for several tech startups. Peter’s background is in Business Intelligence and Spatial Analysis and has been driven by presenting big complex datasets as meaningful information. He holds an MSc in Computing and an MBA in Innovation Management.
Lead machine learning engineer
Tadej Magajna is a machine learning engineer and software developer with over 7 years of experience delivering production quality software and machine learning models. He specialises in neural networks doing time series analysis, computer vision, unsupervised learning and NLP. Tools of choice include Python, Tensorflow, Keras and PyTorch. He holds a master's degree in Computer Science from the University of Ljubljana.
“It’s a great pleasure for me to support OpenCapacity, this promising and innovative start-up at a none executive level. I’m really looking forward working in this international, enthusiastic and motivated team.”
Andreas has 20+ years of domain knowledge in the transport sector. He previously worked as Managing Director of Alstom and continued thereafter to serve as Senior Vice President of Europe at Alstom Transport. Having worked for many years operationally in big corporation, mainly in the Railway Industry, he now has joined OpenCapacity at a none executive level to share his knowledge and experiences to support business development in order to generate customer satisfaction in a sustainable and profitable way.