Work

A Mixed Integer Linear Programming Model for Train Service Improvement

Year: 2022

Type: conference-paper

Abstract: An optimal train schedule enables the railway system to serve maximal passengers with limited resources. However, inappropriate train services may cause a diversity of adverse impacts such as service delay and long waiting times. This study aims to improve train service with a new schedule compared to the existing train schedule. To develop an alternative train service with a schedule solution, a mixed integer linear programming model is developed. A comparison between the existing train service and an alternative service is conducted based on a subset railway network in New South Wales, Australia. Numerical results proved that the alternative train service outperforms the existing one with regard to delay time and train capacity.

Source: International Conference on Computer Supported Cooperative Work in Design (CSCWD)

DOI: 10.1109/cscwd54268.2022.9776050

Authors: Kevin Malysiak, Fenghui Ren, Hao Hu, Bo Du

Institution: University of Wollongong

Language: English

Topic: Railway Systems and Energy Efficiency

Subfield: Transportation

Field: Social Sciences

Domain: Social Sciences

SDG: Industry, innovation and infrastructure

Open Access status: green

OpenAlex ID: W4281297310

FWCI:

Cites: 16

Cited by:

Related to: 10