SANDAG/ABM
Oct 2024 – May 2026
12 Months active
Languages Used
CSVPythonJavaYAMLcsvyamlBatchProperties
Technical Skills
Data ConfigurationData ProcessingPandasScriptingBackend DevelopmentCalibration
aber-sandag
PROFILE
Aber-sandag
Over the past year, this developer enhanced the SANDAG/ABM repository by delivering features and fixes that improved model fidelity, data integrity, and operational reliability. They focused on backend development and data processing, using Python and Pandas to calibrate travel-demand models, refine micromobility and tolling logic, and streamline configuration management. Their work included robust error handling, environment setup automation, and documentation updates to support onboarding and reproducibility. By refactoring modules, tuning calibration coefficients, and implementing intelligent file management, they reduced code complexity and runtime risk. Their contributions enabled more accurate planning, maintainable workflows, and reliable outputs for transportation modeling scenarios.
Overall Statistics
Feature vs Bugs
52%Features
Repository Contributions
55Total
Bugs
14
Commits
55
Features
15
Lines of code
2,649
Activity Months12
Your Network
17 peopleSame Organization
@sandag.org6
Shared Repositories
11
annekuMember
Ashish KulshresthaMember
Bhargava SanaMember
JoeJimFloodMember
Joe FloodMember
JiaXu1024Member
Jeff YenMember
Kelvin NguyenMember
Lulu LiuMember
Work History
May 2026
1 Commits • 1 Features
May 1, 2026May 2026 monthly summary for SANDAG/ABM: Key feature delivered: Refactor of the 2zoneSkim module to stop generating bike skims and retain only walk and stop skims. This simplification reduces code complexity, eliminates confusion around bike-distance calculations, and improves maintainability and downstream data clarity. No major bugs reported this month. Overall impact: leaner, more predictable skim generation, enabling faster onboarding, easier maintenance, and more reliable outputs for downstream users. Technologies/skills demonstrated: Python refactoring, module design, code cleanup, and commit-level traceability.
1 Commits • 1 Features
May 1, 2026May 2026 monthly summary for SANDAG/ABM: Key feature delivered: Refactor of the 2zoneSkim module to stop generating bike skims and retain only walk and stop skims. This simplification reduces code complexity, eliminates confusion around bike-distance calculations, and improves maintainability and downstream data clarity. No major bugs reported this month. Overall impact: leaner, more predictable skim generation, enabling faster onboarding, easier maintenance, and more reliable outputs for downstream users. Technologies/skills demonstrated: Python refactoring, module design, code cleanup, and commit-level traceability.
May 2026
April 2026
3 Commits • 1 Features
Apr 1, 2026April 2026 monthly summary for SANDAG/ABM focused on reliability and data integrity enhancements in resume/init workflows and the CI build. Delivered two critical improvements that reduce data loss risk, speed up resume operations, and improve build resilience in environments with variable tooling. Key outcomes: - Safe Overwrite and Intelligent File Copy during Resume and Initialization, preserving newer local files on the C drive and evaluating MGRA Skims and 4Ds before remote copying. - Build Process Robustness: corrected the conditional check for Git presence so builds can proceed when Git is unavailable, reducing build failures in constrained environments.
April 2026
3 Commits • 1 Features
Apr 1, 2026April 2026 monthly summary for SANDAG/ABM focused on reliability and data integrity enhancements in resume/init workflows and the CI build. Delivered two critical improvements that reduce data loss risk, speed up resume operations, and improve build resilience in environments with variable tooling. Key outcomes: - Safe Overwrite and Intelligent File Copy during Resume and Initialization, preserving newer local files on the C drive and evaluating MGRA Skims and 4Ds before remote copying. - Build Process Robustness: corrected the conditional check for Git presence so builds can proceed when Git is unavailable, reducing build failures in constrained environments.
March 2026
2 Commits • 1 Features
Mar 1, 2026March 2026 monthly summary for SANDAG/ABM focused on stability improvements and accuracy enhancements in the ABM workflow. Implemented a critical dependency constraint to preserve compatibility with deprecated pkg_resources for asim_140, and enhanced toll factor matching logic to improve toll factor assignments based on facility names and attributes.
2 Commits • 1 Features
Mar 1, 2026March 2026 monthly summary for SANDAG/ABM focused on stability improvements and accuracy enhancements in the ABM workflow. Implemented a critical dependency constraint to preserve compatibility with deprecated pkg_resources for asim_140, and enhanced toll factor matching logic to improve toll factor assignments based on facility names and attributes.
March 2026
November 2025
2 Commits • 1 Features
Nov 1, 2025November 2025 focused on stabilizing and improving the UV installation workflow in the SANDAG/ABM repo. Deliverables centered on documentation accuracy and configurability to enable reliable UV deployments and quicker onboarding for new developers.
November 2025
2 Commits • 1 Features
Nov 1, 2025November 2025 focused on stabilizing and improving the UV installation workflow in the SANDAG/ABM repo. Deliverables centered on documentation accuracy and configurability to enable reliable UV deployments and quicker onboarding for new developers.
October 2025
4 Commits • 1 Features
Oct 1, 2025Concise monthly summary for 2025-10 focused on the SANDAG/ABM repository. Key deliverables include unified UV-based environment management, robust interpreter handling for subprocesses, and corrected TNC_LOC transfer skim calculations. These changes improve reproducibility, stability in batch deployments, data accuracy, and overall deployment reliability. Notable impact: reduced environment-related failures, consistent UV activation across scripts, and accompanying documentation updates detailing the UV transition (including asim_140).
4 Commits • 1 Features
Oct 1, 2025Concise monthly summary for 2025-10 focused on the SANDAG/ABM repository. Key deliverables include unified UV-based environment management, robust interpreter handling for subprocesses, and corrected TNC_LOC transfer skim calculations. These changes improve reproducibility, stability in batch deployments, data accuracy, and overall deployment reliability. Notable impact: reduced environment-related failures, consistent UV activation across scripts, and accompanying documentation updates detailing the UV transition (including asim_140).
October 2025
August 2025
5 Commits • 1 Features
Aug 1, 2025Monthly Summary for 2025-08 (SANDAG/ABM): Focused on stabilizing core components, fixing critical edge cases in micromobility flows, and refining model calibration to improve decision accuracy and business value. Delivered targeted fixes to prevent disruption, sharpen availability logic, and align configuration with actual usage patterns. Result: more reliable scheduling decisions, reduced runtime risk, and better resource allocation signals across shared e-bikes and transit onboarding.
August 2025
5 Commits • 1 Features
Aug 1, 2025Monthly Summary for 2025-08 (SANDAG/ABM): Focused on stabilizing core components, fixing critical edge cases in micromobility flows, and refining model calibration to improve decision accuracy and business value. Delivered targeted fixes to prevent disruption, sharpen availability logic, and align configuration with actual usage patterns. Result: more reliable scheduling decisions, reduced runtime risk, and better resource allocation signals across shared e-bikes and transit onboarding.
July 2025
6 Commits • 1 Features
Jul 1, 2025July 2025 monthly work summary for SANDAG/ABM focusing on tolling factor enhancements and related reliability improvements. Delivered HOV-based toll factor keying, traceability logging for toll factor matching, robust loading and error handling for vehicle class toll factors, and removal of obsolete references. These changes improve accuracy of toll calculations, reduce runtime errors, and streamline maintainability.
6 Commits • 1 Features
Jul 1, 2025July 2025 monthly work summary for SANDAG/ABM focusing on tolling factor enhancements and related reliability improvements. Delivered HOV-based toll factor keying, traceability logging for toll factor matching, robust loading and error handling for vehicle class toll factors, and removal of obsolete references. These changes improve accuracy of toll calculations, reduce runtime errors, and streamline maintainability.
July 2025
May 2025
1 Commits
May 1, 2025May 2025 performance summary for SANDAG/ABM: Focused on correcting Bike Logsum generation documentation to improve data lineage and maintainability. Updated file path references to reflect actual output locations and clarified where generated CSVs reside.
May 2025
1 Commits
May 1, 2025May 2025 performance summary for SANDAG/ABM: Focused on correcting Bike Logsum generation documentation to improve data lineage and maintainability. Updated file path references to reflect actual output locations and clarified where generated CSVs reside.
April 2025
1 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary focusing on documentation and knowledge transfer for the Bike Logsum Model in the SANDAG/ABM repository. Delivered a comprehensive documentation update detailing usage, design, inputs/outputs, and the calculation methodology for bike logsums and times with route- and mode-choice factors. This enhances maintainability, onboarding, and cross-team understanding. No major bug fixes were logged this month; emphasis was on clear documentation and alignment with modeling workflow.
1 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary focusing on documentation and knowledge transfer for the Bike Logsum Model in the SANDAG/ABM repository. Delivered a comprehensive documentation update detailing usage, design, inputs/outputs, and the calculation methodology for bike logsums and times with route- and mode-choice factors. This enhances maintainability, onboarding, and cross-team understanding. No major bug fixes were logged this month; emphasis was on clear documentation and alignment with modeling workflow.
April 2025
December 2024
10 Commits • 4 Features
Dec 1, 2024December 2024 — SANDAG/ABM: Delivered targeted enhancements to improve model fidelity, data quality, and batch reliability. Key features delivered include updating the work distance coefficient and bike mode share to reflect updated network conditions, aligning bike lane field names to ABBikeLn and BABikeLn for accurate data processing, and cleaning up data outputs by removing unnecessary skim columns and standardizing skim formatting. Major reliability improvements include a robust batch MAAS run handler that terminates the entire run gracefully on MAAS failures with environment restoration. A bug fix improved escort_participants handling across preprocessing and visualization by enforcing string typing, correcting missing-value handling, and preserving existing values when data is missing. These efforts collectively enhance travel-demand accuracy, reduce downstream data issues, and improve end-to-end run reliability and visibility into modeling work.
December 2024
10 Commits • 4 Features
Dec 1, 2024December 2024 — SANDAG/ABM: Delivered targeted enhancements to improve model fidelity, data quality, and batch reliability. Key features delivered include updating the work distance coefficient and bike mode share to reflect updated network conditions, aligning bike lane field names to ABBikeLn and BABikeLn for accurate data processing, and cleaning up data outputs by removing unnecessary skim columns and standardizing skim formatting. Major reliability improvements include a robust batch MAAS run handler that terminates the entire run gracefully on MAAS failures with environment restoration. A bug fix improved escort_participants handling across preprocessing and visualization by enforcing string typing, correcting missing-value handling, and preserving existing values when data is missing. These efforts collectively enhance travel-demand accuracy, reduce downstream data issues, and improve end-to-end run reliability and visibility into modeling work.
November 2024
16 Commits • 3 Features
Nov 1, 2024November 2024 (2024-11) monthly summary for SANDAG/ABM focusing on business value and technical achievements. Delivered core multi-modal travel-time accuracy and accessibility refinements, calibrated micromobility/bike/e-bike usage with policy enforcement, and introduced configuration controls to accelerate model experimentation—all while cleaning airport matrices to reduce drift. These changes increased planning reliability, policy compliance, and operational efficiency for ABM scenarios.
16 Commits • 3 Features
Nov 1, 2024November 2024 (2024-11) monthly summary for SANDAG/ABM focusing on business value and technical achievements. Delivered core multi-modal travel-time accuracy and accessibility refinements, calibrated micromobility/bike/e-bike usage with policy enforcement, and introduced configuration controls to accelerate model experimentation—all while cleaning airport matrices to reduce drift. These changes increased planning reliability, policy compliance, and operational efficiency for ABM scenarios.
November 2024
October 2024
4 Commits
Oct 1, 2024October 2024 — SANDAG/ABM delivered critical data integrity improvements and more accurate travel-time reporting. Focus areas included skim data column mapping, external zone assignment, and micromobility time calculations, with ownership now correctly attributed to individuals rather than tours. These changes enhance model fidelity, reduce data drift, and improve downstream decision support.
October 2024
4 Commits
Oct 1, 2024October 2024 — SANDAG/ABM delivered critical data integrity improvements and more accurate travel-time reporting. Focus areas included skim data column mapping, external zone assignment, and micromobility time calculations, with ownership now correctly attributed to individuals rather than tours. These changes enhance model fidelity, reduce data drift, and improve downstream decision support.
Activity
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Quality Metrics
Correctness86.8%
Maintainability87.2%
Architecture84.4%
Performance81.8%
AI Usage20.0%
Skills & Technologies
Programming Languages
BatchBatchfileCSVJavaMarkdownPropertiesPythonYAMLcsvyaml
Technical Skills
Backend DevelopmentBug FixCSV ParsingCalibrationCode CleanupCode RefactoringConfiguration ManagementData AnalysisData CalibrationData ConfigurationData ImportData ModelingData ParsingData PreprocessingData Processing
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline