This repository is meant for publishing some of the code related to the subline frequency setting problem for autonomous minibusses.

Currently, this repository contains the following scripts:

1. DWS_14stops.py script contains the deterministic subline frequency settings model introduced in the paper Subline Frequency Setting for autonomous minibusses under demand uncertainty, which is currently under scientific review. This script contains all necessary functions to calculate the solution of the mathematical program.

2. DNS_14stops.py script contains the deterministic frequency settings model that does not consider sublines.

3. SWS_14stops.py script contains the stochastic frequency settings model that considers sublines.

In addition, this repository contains the Data_input folder with the following data files:

1. demand_14stops_leftskewed.txt the average demand used in the deterministic models of section 5.4.1. of the paper.
2. demand_14stops_bothterminals.txt the average demand used in the deterministic models of section 5.4.2. of the paper.
3. demand_14stops_skewedcenter.txt the average demand used in the deterministic models of section 5.4.3. of the paper.
4. demand_14stops_constant.txt the average demand used in the deterministic models of section 5.4.4. of the paper.
5. data_input_14stops.xlsx the file with the 100 demand scenarios used in the stochastic model of sections 5.4.1.-5.4.4. of the paper. Sheet slt_fr corresponds to the left skewed demand scenario (section 5.4.1), sheet sbt_fr to the skewed demand in both terminals (section 5.4.2), sheet sc_fr to the skewed demand in the center (section 5.4.3), and sheet constant_fr to the balanced demand scenario (section 5.4.4).

In case you use this code for scientific purposes, it is appreciated if you provide a citation to the paper:

K. Gkiotsalitis, M. Schmidt, and E. van der Hurk. Subline Frequency Setting for autonomous minibusses under demand uncertainty, Transportation Research Part C: Emerging Technologies, https://doi.org/10.1016/j.trc.2021.103492.

MIT License

The scripts are written in Python. Running or modifying these script requires an installed version of Python.

The mathematical programs are solved with Gurobi. Running or modifying the scripts requires an installed version of Gurobi.