GTFS
No mentions found
This entity hasn't been tracked yet, or Iris is still building its knowledge base.
Related Articles from SNS
GROSS: German Rail Open-Source SUMO Scenario
Announce Type: new Abstract: Microscopic simulation enables reproducible evaluation in intelligent transportation systems, yet most open SUMO scenarios and toolchains remain road-traffic centric, leaving rail underrepresented despite its importance for public transport and its sensitivity to network-wide disruptions. We present the German Rail Open-Source Scenario (GROSS), an open pipeline that combines OpenStreetMap railway infrastructure with GTFS schedules to generate nation-scale rail...
rt2gtfs: A scalable framework for correcting public transport timetables using real-time data for accessibility analysis
arXiv:2603.11477v2 Announce Type: replace Abstract: Travel time is a fundamental component of accessibility measurement, yet most accessibility analyses rely on static timetable data that assume public transport services operate exactly as scheduled. Such representations overlook the substantial variability in travel times arising from operational conditions and service disruptions. In this paper, we present rt2gtfs, an open-source Python package for reconstructing empirical public transport...
SF-LIFE: A Large-Scale Simulated Movement Dataset for the San Francisco Bay Area
arXiv:2606.00430v1 Announce Type: new Abstract: We introduce SF-LIFE, a large-scale simulated movement dataset designed to accelerate research in transportation, mobility, and machine learning. The dataset contains 3,024,000,000,000 location records capturing complete, noise-free, multi-modality trajectories of 500,000 simulated agents observed at a 1Hz frequency navigating the San Francisco Bay Area network over a 70-day period. The data captures (1) needs-driven daily agendas of individual...
SF-LIFE: A Large-Scale Simulated Movement Dataset for the San Francisco Bay Area
arXiv:2606.00430v1 Announce Type: cross Abstract: We introduce SF-LIFE, a large-scale simulated movement dataset designed to accelerate research in transportation, mobility, and machine learning. The dataset contains 3,024,000,000,000 location records capturing complete, noise-free, multi-modality trajectories of 500,000 simulated agents observed at a 1Hz frequency navigating the San Francisco Bay Area network over a 70-day period. The data captures (1) needs-driven daily agendas of...
Domain expertise has always been the real moat
Domain Expertise Has Always Been the Real Moat The hard part of writing software has never been the writing. It was building a working model of the domain in your head first. Before you could ship a payroll system you had to understand garnishments and pre-tax deductions and what happens when someone’s pay period straddles a rate change.