opentripplanner/OpenTripPlanner
Mar 2026 – Jun 2026
2 Months active
Languages Used
Java
Technical Skills
Javaalgorithm designalgorithm optimizationbackend developmentpublic transport routingperformance optimization
andriirohovyi
PROFILE
Andriirohovyi
Worked on the OpenTripPlanner repository over two months, delivering three features focused on routing performance and maintainability. Leveraging Java and advanced algorithm design, introduced early pruning optimizations across RAPTOR variants, including arrival-time based pruning and standardized configurations to streamline complexity. Enhanced Range Raptor with per-round destination arrival bounds, ensuring correctness and efficiency for large-scale multi-query workloads. In June, implemented O(1) arrival updates and optimized egress lookups by indexing stops and adopting TIntIntHashMap, reducing CPU overhead and improving user-facing response times. Emphasized robust software testing, achieving consistent results across extensive Norway routing queries to validate correctness and scalability.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
6Total
Bugs
0
Commits
6
Features
3
Lines of code
567
Activity Months2
Your Network
56 peopleShared Repositories
56
Alexandre DemersMember
Amin Abu-SneinehMember
a-limyrMember
Andrew ByrdMember
Arnljot ArntsenMember
Brandon Martin-AndersonMember
binh-dam-ibigroupMember
OTP BotMember
BredeMember
Work History
June 2026
2 Commits • 1 Features
Jun 1, 2026June 2026 monthly summary for opentripplanner/OpenTripPlanner focusing on performance improvements in routing allocation and egress handling that drive faster user-facing results and lower CPU overhead.
2 Commits • 1 Features
Jun 1, 2026June 2026 monthly summary for opentripplanner/OpenTripPlanner focusing on performance improvements in routing allocation and egress handling that drive faster user-facing results and lower CPU overhead.
June 2026
March 2026
4 Commits • 2 Features
Mar 1, 2026March 2026 (OpenTripPlanner): Delivered performance-focused routing enhancements across RAPTOR family and Range Raptor, with a focus on speed, correctness, and maintainability for large-scale multi-query workloads.
March 2026
4 Commits • 2 Features
Mar 1, 2026March 2026 (OpenTripPlanner): Delivered performance-focused routing enhancements across RAPTOR family and Range Raptor, with a focus on speed, correctness, and maintainability for large-scale multi-query workloads.
Activity
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Quality Metrics
Correctness96.6%
Maintainability83.4%
Architecture93.4%
Performance90.0%
AI Usage23.4%
Skills & Technologies
Programming Languages
Java
Technical Skills
Javaalgorithm designalgorithm optimizationbackend developmentperformance optimizationpublic transport routingsoftware testing
Repositories Contributed To
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