Public transportation services often exhaust their capacity during peak hours. Beyond this, commuters often lack opportunities for last mile connections. Flexible service routing and individualization of trips are key challenges for future mobility systems.
The Geo Prediction Engine of Geospin accurately predicts spatial and temporal mobility demand for different modes of transport. The predictions are even possible for areas without current mobility service provision or without comparative data.
With Geospin, you can optimize mobility network and fleet utilization, prepare for disruptions and create novel shared-mobility solutions (e.g. demand responsive transportation).
»Geospin provides strong technical expertise and powerful algorithms for various mobility services. The models proved to be particularly useful for transferring knowledge between different cities. That way we could forecast mobility demand for areas where we currently do not have any mobility data.«
Dr. Christian Schwingenschlögl,
Head Mobility Data Analytics,
Siemens Mobility GmbH
The model is trained using several hundred-thousands of mobility patterns from various cities.
Over the course of a day, mobility demand is being predicted and compared to the true values.
Peak hour demand can be predicted with 97% accuracy. Even for areas without prior connection to the system our software can estimate the hidden mobility demand.
Road to success
Geo data revolution
Location Intelligence Assistent
Our LIA assistant uses years of experience and excellent research in the field of location intelligence.
Whether it is complex AI forecasting, influence factor determination, digital twins, or viewing and filtering millions of data points: LIA makes location intelligence simple, fast, and intuitive for you.
With the intelligent geo-data analyses from LIA, you save resources, expand your action competence – and gain advanced knowledge and a competitive edge in the market.