MARS-Group-HAW/model-soh
Oct 2024 – Jan 2025
4 Months active
Languages Used
C#MarkdownCSVGTFSJSONXMLGeoJSONPython
Technical Skills
DocumentationObject-Oriented ProgrammingAgent-Based ModelingC#Code RenamingData Engineering
Niklas Dikkafa
PROFILE
Niklas Dikkafa
Contributed to the MARS-Group-HAW/model-soh repository by developing and refining agent-based simulation features for large-event mobility scenarios. Over four months, delivered multimodal routing capabilities, integrated geospatial and GTFS transit data, and enhanced parking and resident-driver modeling to increase simulation realism. Applied C# and Python for backend development, data engineering, and configuration, while leveraging GeoJSON for accurate mapping and routing. Improved documentation and design transparency, optimized test performance, and strengthened exception handling to reduce runtime errors. The work focused on robust data management, object-oriented design, and iterative refactoring, supporting more realistic, scalable, and maintainable urban mobility simulations for stakeholders.
Overall Statistics
Feature vs Bugs
88%Features
Repository Contributions
39Total
Bugs
2
Commits
39
Features
14
Lines of code
310,718
Activity Months4
Your Network
29 peopleSame Organization
@haw-hamburg.de18
Shared Repositories
11
Work History
January 2025
8 Commits • 4 Features
Jan 1, 2025January 2025 monthly summary for MARS-Group-HAW/model-soh: Delivered a set of technical improvements and documentation updates across the model-soh repository, focusing on geospatial data integration, design governance, test efficiency, and realistic simulation data. These efforts enhanced mapping/routing capabilities, improved design transparency, shortened feedback loops, and increased fidelity of simulations.
8 Commits • 4 Features
Jan 1, 2025January 2025 monthly summary for MARS-Group-HAW/model-soh: Delivered a set of technical improvements and documentation updates across the model-soh repository, focusing on geospatial data integration, design governance, test efficiency, and realistic simulation data. These efforts enhanced mapping/routing capabilities, improved design transparency, shortened feedback loops, and increased fidelity of simulations.
January 2025
December 2024
20 Commits • 5 Features
Dec 1, 2024December 2024 monthly summary for MARS-Group-HAW/model-soh: Delivered significant multimodal routing capabilities and realism improvements, expanded data integrations, and strengthened robustness. Achievements span new transport modalities, pre-initialized parking for visitors, resident-driver modeling, ISO 8601 time handling, and refreshed documentation. These efforts increase simulation fidelity, reduce runtime errors, and provide clearer configuration guidance to support product planning and stakeholder decision-making.
December 2024
20 Commits • 5 Features
Dec 1, 2024December 2024 monthly summary for MARS-Group-HAW/model-soh: Delivered significant multimodal routing capabilities and realism improvements, expanded data integrations, and strengthened robustness. Achievements span new transport modalities, pre-initialized parking for visitors, resident-driver modeling, ISO 8601 time handling, and refreshed documentation. These efforts increase simulation fidelity, reduce runtime errors, and provide clearer configuration guidance to support product planning and stakeholder decision-making.
November 2024
9 Commits • 4 Features
Nov 1, 2024November 2024 monthly summary for MARS-Group-HAW/model-soh: Delivered multi-modal mobility and data fidelity enhancements for large-event simulations. Key refactors and new layers enable realistic visitor behavior, transit and parking data integration, and improved dependency stability. These changes improve planning and decision support for city-scale scenarios and strengthen data coverage across walking, transit, and parking assets.
9 Commits • 4 Features
Nov 1, 2024November 2024 monthly summary for MARS-Group-HAW/model-soh: Delivered multi-modal mobility and data fidelity enhancements for large-event simulations. Key refactors and new layers enable realistic visitor behavior, transit and parking data integration, and improved dependency stability. These changes improve planning and decision support for city-scale scenarios and strengthen data coverage across walking, transit, and parking assets.
November 2024
October 2024
2 Commits • 1 Features
Oct 1, 2024October 2024 monthly summary: Delivered foundational BigEventLayer multimodal routing capability and fixed critical documentation inaccuracies to improve deployment confidence and operational planning. The work enhances routing flexibility for multi-modal scenarios and ensures parking-lot data reflects actual capacities.
October 2024
2 Commits • 1 Features
Oct 1, 2024October 2024 monthly summary: Delivered foundational BigEventLayer multimodal routing capability and fixed critical documentation inaccuracies to improve deployment confidence and operational planning. The work enhances routing flexibility for multi-modal scenarios and ensures parking-lot data reflects actual capacities.
Activity
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Quality Metrics
Correctness89.2%
Maintainability89.8%
Architecture85.6%
Performance84.2%
AI Usage20.0%
Skills & Technologies
Programming Languages
C#CSVGTFSGeoJSONJSONMarkdownPythonXML
Technical Skills
Agent-Based ModelingBackend DevelopmentC#Code RenamingConfigurationData ConfigurationData EngineeringData ManagementDebuggingDependency ManagementDocumentationException HandlingGTFS DataGeoJSONGeospatial Data Management
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline