matsim-scenarios/matsim-berlin
Oct 2024 – Jan 2025
4 Months active
Languages Used
JavaMakefileCSVPythonMarkdownShellYAMLTOML
Technical Skills
Backend DevelopmentCode CleanupData EngineeringData ModelingGTFS Data ProcessingMachine Learning
rakow
PROFILE
Rakow
Over four months, Sebastian Rakow developed and enhanced the matsim-scenarios/matsim-berlin repository, focusing on agent-based transportation modeling and simulation. He implemented features such as improved bicycle travel time modeling, income-based utility scoring, and robust demand-responsive transit scenario loading, using Java and Python for backend development and data processing. His work included refining GTFS data integration, calibrating simulation parameters, and introducing error modeling for plan choice estimation, which improved planning accuracy and simulation reliability. Rakow emphasized code maintainability through regular refactoring, documentation, and configuration management, resulting in a more stable, reproducible, and extensible platform for urban mobility analysis.
Overall Statistics
Feature vs Bugs
78%Features
Repository Contributions
60Total
Bugs
8
Commits
60
Features
28
Lines of code
13,718
Activity Months4
Your Network
10 peopleSame Organization
@vsp.tu-berlin.de8
Shared Repositories
2
Work History
January 2025
18 Commits • 8 Features
Jan 1, 2025January 2025 monthly summary for matsim-scenarios/matsim-berlin. Focused on delivering high-value features, improving stability, and enhancing observability to enable faster iteration and releases. Key outcomes include increased estimation accuracy, more robust DRT scenario loading, refined bike mode utility modeling, safer activity estimation handling, and improved debugging/monitoring. Business value centers on more reliable planning simulations, reduced risk in deployments, and a maintainable codebase for future growth.
18 Commits • 8 Features
Jan 1, 2025January 2025 monthly summary for matsim-scenarios/matsim-berlin. Focused on delivering high-value features, improving stability, and enhancing observability to enable faster iteration and releases. Key outcomes include increased estimation accuracy, more robust DRT scenario loading, refined bike mode utility modeling, safer activity estimation handling, and improved debugging/monitoring. Business value centers on more reliable planning simulations, reduced risk in deployments, and a maintainable codebase for future growth.
January 2025
December 2024
25 Commits • 11 Features
Dec 1, 2024December 2024 monthly summary for matsim-scenarios/matsim-berlin: Delivered a set of feature-rich updates to MATSim integration, transit scheduling workflows, and experiment tooling, alongside targeted bug fixes, code hygiene improvements, and release readiness work. The work focused on improving planning accuracy, reproducibility, and maintainability, enabling faster iteration and more reliable deployment in a Berlin transit scenario.
December 2024
25 Commits • 11 Features
Dec 1, 2024December 2024 monthly summary for matsim-scenarios/matsim-berlin: Delivered a set of feature-rich updates to MATSim integration, transit scheduling workflows, and experiment tooling, alongside targeted bug fixes, code hygiene improvements, and release readiness work. The work focused on improving planning accuracy, reproducibility, and maintainability, enabling faster iteration and more reliable deployment in a Berlin transit scenario.
November 2024
12 Commits • 7 Features
Nov 1, 2024Concise monthly summary for 2024-11 highlighting key features delivered, major fixes, overall impact, and technologies demonstrated. Focused on improving multimodal modeling, data quality, and simulation stability for MATSim-Berlin to enable better planning decisions and policy analysis.
12 Commits • 7 Features
Nov 1, 2024Concise monthly summary for 2024-11 highlighting key features delivered, major fixes, overall impact, and technologies demonstrated. Focused on improving multimodal modeling, data quality, and simulation stability for MATSim-Berlin to enable better planning decisions and policy analysis.
November 2024
October 2024
5 Commits • 2 Features
Oct 1, 2024October 2024 monthly summary focusing on key accomplishments for matsim-scenarios/matsim-berlin. Key activities included delivering enhancements to user behavior modeling (improved facility attraction predictions and income-based utility scoring), validating data reliability via GTFS fixes, and upgrading MATSim with code cleanup to improve compatibility and maintainability. These efforts reduced planning errors, improved route accuracy, and lowered technical debt, translating into more reliable simulations and better decision support for transit planning.
October 2024
5 Commits • 2 Features
Oct 1, 2024October 2024 monthly summary focusing on key accomplishments for matsim-scenarios/matsim-berlin. Key activities included delivering enhancements to user behavior modeling (improved facility attraction predictions and income-based utility scoring), validating data reliability via GTFS fixes, and upgrading MATSim with code cleanup to improve compatibility and maintainability. These efforts reduced planning errors, improved route accuracy, and lowered technical debt, translating into more reliable simulations and better decision support for transit planning.
Activity
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Quality Metrics
Correctness82.6%
Maintainability83.2%
Architecture79.2%
Performance71.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
CSVJavaMakefileMarkdownPythonShellTOMLYAML
Technical Skills
API DesignAgent-Based ModelingAlgorithm DesignBackend DevelopmentBuild SystemCI/CDCheckstyleChoice ModelingCode AdaptationCode CleanupCode DocumentationCode FormattingCode RefactoringCode RenamingConfiguration
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline