Open by design
Our public code is on GitHub. Each repository states its licence.
TransitX Labs Inc., British Columbia, Canada.
Advice on transport data and research.
TransitX Labs plans research in transit, accessibility and electric vehicles. Its public software checks transit schedule data and explores vehicle fleet data.
We aim to help people and communities move more easily, cleanly and fairly.
Our near-term research plans focus on transit, accessibility and electric vehicles.
Areas we plan to research include:
Our public code is on GitHub. Each repository states its licence.
We plan to state each research question, its sources and its limits.
We favour tools that keep data on your own device where feasible.
Our public software checks transit data and explores vehicle fleet data. Transit Safety Lens is a public aggregate release; its flags remain exploratory.
Public demonstration (2026-10-13). Synthetic data only.
A working demonstration of a printable rider card, staff entry, a rider phone form, a station action board, quota counts and manual exports. The board shows each safety action as Planned, Checked on site or Not done, with its status date. Checked means staff verified this action on site. It is not a safety rating. All records are synthetic. The demonstration is not approved or ready for real collection, and it is not affiliated with or endorsed by any transit agency.
Code: Apache-2.0.
Open-source transit-data audit tool.
A free tool that checks how complete the accessibility information is in Canadian transit schedule data. GTFS is a shared format for routes, stops and timetables. It also compares service frequency and information about stop access. These data checks do not establish actual accessibility.
Public aggregate release (2026-10-11).
This package measures the completeness, consistency and comparability of published National Transit Database records, and estimates exposure-normalized changes under a stated statistical model. Acquisition and revision gaps remain; held-out coverage is below nominal and flags remain exploratory.
Code: Apache-2.0. Data: source-specific terms, including an unresolved non-major licence.
Longer term, we plan to study electric aircraft that take off and land vertically (eVTOL), precise landing methods and concepts for vehicles that travel on land, in the air and on water. These are future research ideas.
Amir Daneshpajouh is the founder and chief executive officer. He is a PhD candidate in Computing Science at Simon Fraser University (SFU).