transbigdata-metroline

To build a metro network graph from line and stop geodata, input GeoDataFrames for transit lines and stops. The network topology is constructed using networkx-compatible workflows, enabling direct route and travel-time analysis.

Finding the shortest path and estimating travel time between transit stations requires querying the constructed network graph. The computation supports configurable transfer time settings to calculate accurate total travel times for alternative routes.

Yes, you can use geopandas GeoDataFrames for transit route analysis. The Skill accepts GeoDataFrame inputs for transit lines and stops to perform line segmentation, topology refinement, and shortest-path queries within geopandas-compatible workflows.

To detect bus stop arrivals from GPS traces, process the GPS logs through the transit network model. This identifies stop arrivals and computes one-way travel times for vehicle performance analysis and timetable validation.

Analyzing k-shortest paths in a transit network involves querying alternative routes between stations on the graph. This approach identifies multiple viable paths, computing expected travel times with transfer penalties using networkx.

Yes, this approach supports splitting transit lines into segments for topology refinement. Line segmentation processes GeoDataFrame inputs to refine the network topology, ensuring accurate routing and transfer analysis.