Hello all, I've generated an unofficial GTFS dataset for Namma Metro services operated by BMRCL in Bengaluru. The GTFS data, code and related documentation can be found on https://github.com/Vonter/bmrcl-gtfs
The GTFS is generated using spatial data from OpenStreetMap and timetable images published by BMRCL on their official website: https://www.bmrc.co.in/metro-timings/ Since the information that BMRCL publishes does not contain the stop times at individual stations (only contains trip headways at a high level), it can't be used to find the exact time of arrival or departure of a specific trip/train at a specific station. Approximate modeling of dwell times, train speed and section-wise speeds have been used to calculate arrival and departure times of specific trains at specific stations in the GTFS. This is sufficient for most use cases, but if a particular use case requires trip-level or minute-level accuracy, this GTFS may not be accurate enough. More details are documented under the caveat section on the repository: https://github.com/Vonter/bmrcl-gtfs#caveat As a widely used standard, GTFS has lots of tooling built around it. One convenient way to open and view this GTFS data for Namma Metro is the browser-based Transit Lens tool (works better on Desktop than Mobile): https://transit-lens.com/open?feed=https://raw.githubusercontent.com/Vonter/bmrcl-gtfs/main/gtfs/bmrcl.zip Regards, Vivek -- Datameet is a community of Data Science enthusiasts in India. Know more about us by visiting http://datameet.org --- You received this message because you are subscribed to the Google Groups "datameet" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To view this discussion visit https://groups.google.com/d/msgid/datameet/c5907476-61bf-476d-9b0e-bb6f5480e645n%40googlegroups.com.
