Increasing profitability for shared mobility operators using agent-based mobility modelling

Digital mobility twins for operational efficiency and strategic insights
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Strategic insights

Advanced simulations and instant hypothesis testing. New market exploration and city comparison for expansion.

Operational efficiency

Fleet size and shift optimisation. Demand forecasting. Demand based In-fleeting

and vehicle relocation.

Digital twin delivery in just 2 weeks
Thanks to deep process automation and the use of machine learning, we have reduced the delivery time of the initial digital twin to just 2 weeks.
STRATEGIC USE CASES
Strategic decision support through multimodal simulation
  • Demand-Supply-Match
  • Service Area Optimisation
  • Simulate Service Parameter Changes
  • Price Changes
  • Decisions For Regional Expansion
  • Travel Behaviour Insights
  • Environmental assessment
  • Simulation Based A/B-Testing

REPLAN.CITY is more than just a data layer, it is a robust simulation tool. The models are designed to support both strategic planning and negotiation processes with authorities by considering the transportation system as one holistic model.
OPERATIONAL USE CASES
Real-time Operational Optimisation For Maximum Efficiency
  • Demand-based relocation
  • Timing of In-fleeting/De-fleeting
  • Demand Prediction
  • Optimisation of Fleet Size
  • Service shifts scheduling
  • Charging Stops Positioning

REPLAN.CITY helps you increase fleet utilisation without reducing service quality. The tool provides algorithms to optimise fleet size, and find the best spots for relocation and in-fleeting through demand prediction.
Implementation Procedure
1

Initial agent-based model

2 weeks

Development of a tailored agent-based model

2

Calibration & model tuning

10 weeks
Calibration and tuning based on client data
3

Running SaaS solution

Continuously

User friendly UI, automatic updates, constantly improving models

sales@replan.city

Mariendorfer Damm 1, 12099 Berlin

The Drivery

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