Pieter Fourie
Managing Director at URaP International
Contact Info
Other
Summary
👤
Senior🎓
Top SchoolPieter Fourie is a managing director and agent-based simulation specialist with 17 years’ experience blending urban data science, transport modelling, and machine learning. He leads the MATSim Association’s open-source roadmap while holding academic appointments at Hiroshima and Keio Universities, applying MATSim to real-world testbeds for resilience and accessibility research. Pieter has a strong engineering background—contributing core algorithm and performance improvements to the widely used MATSim simulation libraries—and founded Agency Simulation Research to translate research into practice. His work bridges rigorous PhD-level research at ETH Zurich with hands-on software implementation, often focusing on feedback, emergence and path-dependence in complex transport systems. An often-overlooked strength is his experience producing analytics-ready outputs from large simulations, enabling policymakers and analysts to act on model insights.
17 years of coding experience
14 years of employment as a software developer
Doctor of Philosophy - PhD, Transportation/Mobility Management, Doctor of Philosophy - PhD, Transportation/Mobility Management at ETH ZurichUniversity of Pretoria
Github Skills (10)
algorithm10
net10
network10
javas10
algorithms10
networking10
java10
implement10
agent-based-modeling9
performance-optimization8
Programming languages (4)
Github contributions (5)
matsim-org/matsim-libs
Jul 2008 - Mar 2018
Multi-Agent Transport Simulation
Role in this project:
Back-end Developer & Algorithm Implementer
Back-end Developer & Algorithm ImplementerContributions:355 commits, 2 PRs, 22 pushes in 9 years 10 months
Contributions summary:Pieter's contributions involved implementing new features within the core agent-based transport simulation library. This included the creation of a writer for ExpensiveSimScoreWriter and the development of new cost calculators and route calculations. The commits demonstrate a focus on algorithm implementation, performance optimization, and integrating new mathematical models within the established codebase. They also contributed to improvements to the transit-related parts of the simulator.
agent-basedtransportation-planningagentagent-based-modelmatsim
langkoos/matsim-tourist-evac
Mar 2022 - Mar 2022
A small example of how to use MATSim as a library.
Contributions:4 pushes, 1 branch in 28 days
matsim
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