matsim-org/matsim-libs
Nov 2024 – Mar 2026
14 Months active
Languages Used
JavaXMLYAML
Technical Skills
API DesignBackend DevelopmentCachingData StructuresJavaMATSim
Sebastian Hörl
PROFILE
Sebastian Hörl
Over 14 months, contributed to matsim-org/matsim-libs by designing and implementing advanced simulation features for electric vehicles, demand-responsive transit, and routing. Developed configurable charging strategies, dynamic pricing, and agent-based modeling enhancements, focusing on modular architecture and maintainability. Improved simulation realism through innovations like per-person travel speeds, mode-specific transfer penalties, and dynamic route updating, while optimizing performance with caching and concurrent programming. Addressed reliability with targeted bug fixes and robust testing, leveraging Java, XML, and event-driven programming. Enhanced analytics and observability by enriching event data models and integrating notification systems, supporting more accurate scenario analysis and scalable, data-driven decision-making.
Overall Statistics
Feature vs Bugs
71%Features
Repository Contributions
57Total
Bugs
10
Commits
57
Features
25
Lines of code
24,243
Activity Months14
Your Network
32 peopleSame Organization
@irt-systemx.fr1
tkchouakiMember
Shared Repositories
31
aleksMember
anaueMember
Ricardo EwertMember
Friedrich VölkersMember
Gerry CaseyMember
paulhMember
u234825Member
Jakob RehmannMember
janekderersteMember
Work History
March 2026
2 Commits • 2 Features
Mar 1, 2026March 2026 performance summary for matsim-libs: Delivered key features that improve routing realism and simulation data quality, along with targeted bug fixes that stabilized the penalties workflow. The work centers on SwissRailRaptor mode-specific penalties and enhanced event data modeling, enabling more accurate modal transfer analysis and richer analytics for downstream systems.
2 Commits • 2 Features
Mar 1, 2026March 2026 performance summary for matsim-libs: Delivered key features that improve routing realism and simulation data quality, along with targeted bug fixes that stabilized the penalties workflow. The work centers on SwissRailRaptor mode-specific penalties and enhanced event data modeling, enabling more accurate modal transfer analysis and richer analytics for downstream systems.
March 2026
January 2026
1 Commits • 1 Features
Jan 1, 2026Month: 2026-01. The Matsim libs work focused on delivering a targeted performance and configurability enhancement for SpeedyALT routing through graph caching improvements, with tests adjusted for new configurations.
January 2026
1 Commits • 1 Features
Jan 1, 2026Month: 2026-01. The Matsim libs work focused on delivering a targeted performance and configurability enhancement for SpeedyALT routing through graph caching improvements, with tests adjusted for new configurations.
December 2025
11 Commits • 3 Features
Dec 1, 2025December 2025: delivered key features in observability, EV charging optimization, and analytics, plus a robustness fix for ride-sharing scheduling. These efforts improved real-time operations visibility, grid-aware charging decisions, and data-driven decision-making, contributing to more reliable service and cost efficiency.
11 Commits • 3 Features
Dec 1, 2025December 2025: delivered key features in observability, EV charging optimization, and analytics, plus a robustness fix for ride-sharing scheduling. These efforts improved real-time operations visibility, grid-aware charging decisions, and data-driven decision-making, contributing to more reliable service and cost efficiency.
December 2025
November 2025
8 Commits • 1 Features
Nov 1, 2025Monthly summary for 2025-11 focusing on delivered features, fixed bugs, impact, and technical achievements for matsim-libs.
November 2025
8 Commits • 1 Features
Nov 1, 2025Monthly summary for 2025-11 focusing on delivered features, fixed bugs, impact, and technical achievements for matsim-libs.
October 2025
3 Commits • 2 Features
Oct 1, 2025October 2025: Delivered dynamic EV charging pricing and strategic EV charging innovations in matsim-libs, delivering realistic pricing and improved planning quality. Focused on maximizing business value through modular design and robust integration. No major bugs fixed this month; the work enhances simulation fidelity and decision support.
3 Commits • 2 Features
Oct 1, 2025October 2025: Delivered dynamic EV charging pricing and strategic EV charging innovations in matsim-libs, delivering realistic pricing and improved planning quality. Focused on maximizing business value through modular design and robust integration. No major bugs fixed this month; the work enhances simulation fidelity and decision support.
October 2025
September 2025
2 Commits • 1 Features
Sep 1, 2025September 2025: Delivered reliability improvements and configurability enhancements in the EV Charging Strategy suite of matsim-libs. Implemented a bug fix to correct parsing of comma-separated attributes in StrategicChargingUtils and introduced granular SEVC innovation parameters to control charging plan innovations, enabling more accurate and adjustable EV simulations.
September 2025
2 Commits • 1 Features
Sep 1, 2025September 2025: Delivered reliability improvements and configurability enhancements in the EV Charging Strategy suite of matsim-libs. Implemented a bug fix to correct parsing of comma-separated attributes in StrategicChargingUtils and introduced granular SEVC innovation parameters to control charging plan innovations, enabling more accurate and adjustable EV simulations.
June 2025
6 Commits • 3 Features
Jun 1, 2025June 2025: Delivered major DRT and DVRP enhancements in matsim-libs that improve realism, scalability, and cost accuracy: configurable companion generation, advanced capacity parsing and load ordering, preemptive rejection controls, and a stop-duration timing accuracy fix. These changes enable more flexible scenarios, robust optimization, and more predictable performance for large-scale transit simulations.
6 Commits • 3 Features
Jun 1, 2025June 2025: Delivered major DRT and DVRP enhancements in matsim-libs that improve realism, scalability, and cost accuracy: configurable companion generation, advanced capacity parsing and load ordering, preemptive rejection controls, and a stop-duration timing accuracy fix. These changes enable more flexible scenarios, robust optimization, and more predictable performance for large-scale transit simulations.
June 2025
May 2025
1 Commits • 1 Features
May 1, 2025May 2025 (2025-05) summary for matsim-org/matsim-libs: Focused on enhancing teleportation routing with per-person speed customization. Delivered a configurable per-person travel speed attribute in RoutingConfigGroup and integrated it into TeleportationRoutingModule to compute travel times using per-person attributes when available, with a safe fallback to default speed. This change improves the accuracy of travel-time estimates for teleported modes, enabling more personalized and realistic routing outcomes and paving the way for more advanced user-centric routing metrics. The work is aligned with the ongoing effort to improve configurability, traceability, and maintainability of core routing features, and is linked to commit e8a268ba047f441bbbe4408222e8f09487deecae (#3941).
May 2025
1 Commits • 1 Features
May 1, 2025May 2025 (2025-05) summary for matsim-org/matsim-libs: Focused on enhancing teleportation routing with per-person speed customization. Delivered a configurable per-person travel speed attribute in RoutingConfigGroup and integrated it into TeleportationRoutingModule to compute travel times using per-person attributes when available, with a safe fallback to default speed. This change improves the accuracy of travel-time estimates for teleported modes, enabling more personalized and realistic routing outcomes and paving the way for more advanced user-centric routing metrics. The work is aligned with the ongoing effort to improve configurability, traceability, and maintainability of core routing features, and is linked to commit e8a268ba047f441bbbe4408222e8f09487deecae (#3941).
April 2025
1 Commits • 1 Features
Apr 1, 2025April 2025 (2025-04) monthly summary for matsim-libs focused on performance and scalability improvements around transfer calculation. Implemented Online Transfer Calculation Mode in SwissRailRaptorConfigGroup to enable on-demand transfer computation without caching, reducing memory usage. Transfer cache initialization now applies only to Adaptive or Online modes, preventing unnecessary memory allocation and computation. This aligns with our goals to improve scalability for large-scale deployments, at a potential trade-off of slightly longer routing times.
1 Commits • 1 Features
Apr 1, 2025April 2025 (2025-04) monthly summary for matsim-libs focused on performance and scalability improvements around transfer calculation. Implemented Online Transfer Calculation Mode in SwissRailRaptorConfigGroup to enable on-demand transfer computation without caching, reducing memory usage. Transfer cache initialization now applies only to Adaptive or Online modes, preventing unnecessary memory allocation and computation. This aligns with our goals to improve scalability for large-scale deployments, at a potential trade-off of slightly longer routing times.
April 2025
March 2025
4 Commits • 2 Features
Mar 1, 2025March 2025 monthly summary for matsim-libs focusing on feature delivery, bug fixes, impact, and skills demonstrated. The work emphasizes reliability, maintainability, and development workflow improvements.
March 2025
4 Commits • 2 Features
Mar 1, 2025March 2025 monthly summary for matsim-libs focusing on feature delivery, bug fixes, impact, and skills demonstrated. The work emphasizes reliability, maintainability, and development workflow improvements.
February 2025
5 Commits • 2 Features
Feb 1, 2025February 2025 monthly summary for matsim-libs. Highlights include DRT configuration and caching improvements, optional dynamic route updating for DRT, and a bug fix to prevent prebooking agents from getting stuck. The work delivers more reliable travel-time caching, config-driven data paths, dynamic routing responsiveness, and a robust prebooking workflow, contributing to faster simulations, improved planning accuracy, and reduced operational risk.
5 Commits • 2 Features
Feb 1, 2025February 2025 monthly summary for matsim-libs. Highlights include DRT configuration and caching improvements, optional dynamic route updating for DRT, and a bug fix to prevent prebooking agents from getting stuck. The work delivers more reliable travel-time caching, config-driven data paths, dynamic routing responsiveness, and a robust prebooking workflow, contributing to faster simulations, improved planning accuracy, and reduced operational risk.
February 2025
January 2025
2 Commits • 1 Features
Jan 1, 2025January 2025 performance summary for matsim-libs. Delivered the Strategic Electric Vehicle Charging (SEVC) framework and Within-Day EV Charging (WEVC) to enable richer charging behavior modeling, including evolutionary optimization of charging decisions, detailed cost/tariff structures, and flexible charger access rules. Also completed SEVC module refactor and bug fixes, addressing naming conventions, type errors, and configuration handling for charging costs; cleanup of unused imports; added warnings for missing EV configurations; and stabilization of unit tests. These changes improve modeling fidelity, test reliability, and maintainability, enabling stronger business value through more accurate policy and operator scenario analysis.
January 2025
2 Commits • 1 Features
Jan 1, 2025January 2025 performance summary for matsim-libs. Delivered the Strategic Electric Vehicle Charging (SEVC) framework and Within-Day EV Charging (WEVC) to enable richer charging behavior modeling, including evolutionary optimization of charging decisions, detailed cost/tariff structures, and flexible charger access rules. Also completed SEVC module refactor and bug fixes, addressing naming conventions, type errors, and configuration handling for charging costs; cleanup of unused imports; added warnings for missing EV configurations; and stabilization of unit tests. These changes improve modeling fidelity, test reliability, and maintainability, enabling stronger business value through more accurate policy and operator scenario analysis.
December 2024
8 Commits • 2 Features
Dec 1, 2024December 2024 – Matsim-libs: Delivered significant reliability improvements in DRT prebooking and a comprehensive architecture overhaul for EV charging, accompanied by targeted queue-management fixes. These changes improve service continuity, utilization of charging assets, and data quality for analytics.
8 Commits • 2 Features
Dec 1, 2024December 2024 – Matsim-libs: Delivered significant reliability improvements in DRT prebooking and a comprehensive architecture overhaul for EV charging, accompanied by targeted queue-management fixes. These changes improve service continuity, utilization of charging assets, and data quality for analytics.
December 2024
November 2024
3 Commits • 3 Features
Nov 1, 2024November 2024 monthly summary for matsim-libs: Delivered three key features aimed at improving extensibility, routing fidelity, and simulation performance. Implemented Charger attribute support and XML persistence, enabling reuse of charger attributes across runs; generalized the multimodal link chooser to support contextual access and egress decisions via a RoutingRequest for richer routing; added caching for free-speed travel time matrices in DVRP, with read/write methods and integration into the routing module to bypass recomputation when matrices are cached. Major bugs fixed: No major bugs reported or fixed this month. Overall impact: Enhanced model realism and scalability, reduced simulation runtime, and improved reuse of configurations across scenarios. Technologies/skills demonstrated: Java, XML persistence, Attributable interface, modular routing components, and DVRP performance optimizations.
November 2024
3 Commits • 3 Features
Nov 1, 2024November 2024 monthly summary for matsim-libs: Delivered three key features aimed at improving extensibility, routing fidelity, and simulation performance. Implemented Charger attribute support and XML persistence, enabling reuse of charger attributes across runs; generalized the multimodal link chooser to support contextual access and egress decisions via a RoutingRequest for richer routing; added caching for free-speed travel time matrices in DVRP, with read/write methods and integration into the routing module to bypass recomputation when matrices are cached. Major bugs fixed: No major bugs reported or fixed this month. Overall impact: Enhanced model realism and scalability, reduced simulation runtime, and improved reuse of configurations across scenarios. Technologies/skills demonstrated: Java, XML persistence, Attributable interface, modular routing components, and DVRP performance optimizations.
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Quality Metrics
Correctness86.8%
Maintainability84.6%
Architecture84.4%
Performance80.0%
AI Usage23.6%
Skills & Technologies
Programming Languages
JavaXMLYAML
Technical Skills
API DesignAPI DevelopmentAgent BehaviorAgent-Based ModelingAlgorithm OptimizationBackend DevelopmentBug FixCI/CDCachingComparable InterfaceConfiguration ManagementCore JavaCost CalculationDRT OptimizationDRT Simulation
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