MARS-Group-HAW/model-soh
Oct 2024 – Nov 2024
2 Months active
Languages Used
C#CSVJSONOverpass QLQGIS
Technical Skills
Agent-Based ModelingC#Code OrganizationConfigurationConfiguration ManagementData Configuration
SimSon
PROFILE
Simson
Sebastian Schwarzkopf developed and enhanced agent-based pedestrian and multimodal travel simulations in the MARS-Group-HAW/model-soh repository over two months. He integrated a Visitor agent system using C# and object-oriented design, enabling realistic pedestrian flows and geospatial visualization with GeoJSON and QGIS. Sebastian expanded the simulation to include commuter train agents, implementing robust route-finding that gracefully falls back to walking when train options are unavailable. He improved code organization and maintainability by refactoring core files and removing obsolete resources. His work demonstrated depth in data management, configuration, and simulation development, resulting in a more flexible, data-driven, and maintainable modeling platform.
Overall Statistics
Feature vs Bugs
80%Features
Repository Contributions
12Total
Bugs
1
Commits
12
Features
4
Lines of code
3,098
Activity Months2
Your Network
11 peopleSame Organization
@etik.com1
Work History
November 2024
4 Commits • 1 Features
Nov 1, 2024Month: 2024-11 — MARS-Group-HAW/model-soh. This monthly summary covers key features delivered, major fixes, and overall impact with a focus on business value and technical achievement. Key features delivered: - Initial multimodal travel integration for the commuter train system: added train layers/agents, data integration, updated routes and schedules. Route finding now includes a fallback to walking when train options are unavailable to ensure travel planning remains robust. - Schedules and plan updates: incorporated updated commuter train schedules and plans, and cleaned up outdated entries to align with current rail data. Major bugs fixed: - Codebase cleanup of unused resources: removed obsolete resources (CSV config and GeoJSON walk graph) to reduce maintenance burden and simplify future enhancements. Overall impact and accomplishments: - Improved travel planning robustness and expandability by introducing multimodal routing capabilities while ensuring graceful fallbacks. - Reduced technical debt and maintenance overhead through targeted cleanup, setting the stage for easier onboarding of future data sources and modes. - Demonstrated end-to-end delivery discipline with incremental refinements to the commuter train feature and routing logic, improving system reliability. Technologies/skills demonstrated: - Systems integration and data modeling for multimodal routing (train data, routes, schedules). - Simulation architecture enhancement and modular feature integration. - Version control discipline with iterative feature improvements and cleanup (commit history reflects progressive iterations).
4 Commits • 1 Features
Nov 1, 2024Month: 2024-11 — MARS-Group-HAW/model-soh. This monthly summary covers key features delivered, major fixes, and overall impact with a focus on business value and technical achievement. Key features delivered: - Initial multimodal travel integration for the commuter train system: added train layers/agents, data integration, updated routes and schedules. Route finding now includes a fallback to walking when train options are unavailable to ensure travel planning remains robust. - Schedules and plan updates: incorporated updated commuter train schedules and plans, and cleaned up outdated entries to align with current rail data. Major bugs fixed: - Codebase cleanup of unused resources: removed obsolete resources (CSV config and GeoJSON walk graph) to reduce maintenance burden and simplify future enhancements. Overall impact and accomplishments: - Improved travel planning robustness and expandability by introducing multimodal routing capabilities while ensuring graceful fallbacks. - Reduced technical debt and maintenance overhead through targeted cleanup, setting the stage for easier onboarding of future data sources and modes. - Demonstrated end-to-end delivery discipline with incremental refinements to the commuter train feature and routing logic, improving system reliability. Technologies/skills demonstrated: - Systems integration and data modeling for multimodal routing (train data, routes, schedules). - Simulation architecture enhancement and modular feature integration. - Version control discipline with iterative feature improvements and cleanup (commit history reflects progressive iterations).
November 2024
October 2024
8 Commits • 3 Features
Oct 1, 2024October 2024 monthly focus on enhancing pedestrian realism and visualization capabilities in MARS-Group-HAW/model-soh. No major bugs fixed this period; notable maintainability improvements include reorganizing Visitor.cs for cleaner SOHModel structure. Delivered three key features: 1) Visitor agent integration and Dammtor area simulation; 2) Barclays Arena pedestrian data and spawning configuration; 3) Geospatial visualization assets and milestone documentation. These updates broaden model fidelity, data-driven scenario capabilities, and stakeholder presentation readiness, supporting better planning decisions and faster iteration.
October 2024
8 Commits • 3 Features
Oct 1, 2024October 2024 monthly focus on enhancing pedestrian realism and visualization capabilities in MARS-Group-HAW/model-soh. No major bugs fixed this period; notable maintainability improvements include reorganizing Visitor.cs for cleaner SOHModel structure. Delivered three key features: 1) Visitor agent integration and Dammtor area simulation; 2) Barclays Arena pedestrian data and spawning configuration; 3) Geospatial visualization assets and milestone documentation. These updates broaden model fidelity, data-driven scenario capabilities, and stakeholder presentation readiness, supporting better planning decisions and faster iteration.
Activity
Loading activity data...
Quality Metrics
Correctness91.8%
Maintainability90.0%
Architecture90.0%
Performance85.0%
AI Usage21.6%
Skills & Technologies
Programming Languages
C#CSVJSONOverpass QLQGIS
Technical Skills
Agent-Based ModelingBackend DevelopmentC#Code OrganizationConfigurationConfiguration ManagementData ConfigurationData EngineeringData ManagementData VisualizationDocumentationGISGeoJSONGeospatial Data ManagementObject-Oriented Programming
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline