Simulation datasets and Python code for off-corridor excursion bus operations

This dataset contains the full inputs, simulation code, and outputs from a study of online accept/reject policies for off-corridor bus excursions in overlapping fixed-line systems.
Contents include:

Input scenarios: 22 parameterized cases (16 factorial core + 6 targeted add-ons) with corridor and side-stop networks, excursion arcs, demand processes, vehicle dispatches, and policy parameters.

Simulation code: Python discrete-event simulator (sim_runner.py) implementing baseline, myopic-feasible, and slack-aware policies with feasibility safeguards (excursion budgets, return windows, headway controls).

Outputs: Per-run logs (events, decisions, KPIs) and aggregated performance indicators.

Documentation: Metadata files and manifests to ensure reproducibility, including seed management for independent replications.

The dataset and code enable replication of all reported results and can be adapted to test alternative corridor geometries, demand patterns, and policy settings.