Mixed Integer Linear Programming Based Speed Profile Optimization for Heavy-Haul Trains

Automatic heavy-haul train (HHT) operation technology has recently received considerable attention in the field of rail transportation. In this paper, a discrete-time-based mathematical formulation is proposed to address the speed profile optimization problem in order to ensure the safe, efficient,...

Full description

Saved in:
Bibliographic Details
Main Authors: Huazhen Yu, Yihui Wang, Andrea D’Ariano, Anzheng Lai, Youneng Huang
Format: Article
Language:English
Published: Wiley 2023-01-01
Series:Journal of Advanced Transportation
Online Access:http://dx.doi.org/10.1155/2023/6649871
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1832547994952531968
author Huazhen Yu
Yihui Wang
Andrea D’Ariano
Anzheng Lai
Youneng Huang
author_facet Huazhen Yu
Yihui Wang
Andrea D’Ariano
Anzheng Lai
Youneng Huang
author_sort Huazhen Yu
collection DOAJ
description Automatic heavy-haul train (HHT) operation technology has recently received considerable attention in the field of rail transportation. In this paper, a discrete-time-based mathematical formulation is proposed to address the speed profile optimization problem in order to ensure the safe, efficient, and economical operation of heavy-haul trains (HHTs). Due to the presence of long and steep downgrades (LSDs) on some heavy-haul lines, the brake forces of the HHT are typically jointly determined by air braking and electric braking. The time characteristics of the air braking, such as the command delay and the change process caused by the air pressure, are taken into account, and then formulas are presented to calculate the air brake force. In addition, the influence of the neutral section on the control of the electric braking is considered via space-based constraints. The resulting problem is a nonlinear optimal control problem. To achieve linearization, auxiliary 0-1 binary variables and the big-M approach are introduced to transform the nonlinear constraints regarding slope, curve, neutral section, air brake force, and air-filled time into linear constraints. Moreover, piecewise affine (PWA) functions are used to approximate the basic resistance of the HHT. Finally, a mixed integer linear programming (MILP) model is developed, which can be solved by CPLEX. The experiments are carried out using data from a heavy-haul railway line in China, and the results show that the proposed approach is effective and flexible.
format Article
id doaj-art-7b742962d21e40e4afe3fd5284985333
institution Kabale University
issn 2042-3195
language English
publishDate 2023-01-01
publisher Wiley
record_format Article
series Journal of Advanced Transportation
spelling doaj-art-7b742962d21e40e4afe3fd52849853332025-02-03T06:42:43ZengWileyJournal of Advanced Transportation2042-31952023-01-01202310.1155/2023/6649871Mixed Integer Linear Programming Based Speed Profile Optimization for Heavy-Haul TrainsHuazhen Yu0Yihui Wang1Andrea D’Ariano2Anzheng Lai3Youneng Huang4School of Electronic and Information EngineeringSchool of Electronic and Information EngineeringDepartment of CivilSchool of Electronic and Information EngineeringSchool of Electronic and Information EngineeringAutomatic heavy-haul train (HHT) operation technology has recently received considerable attention in the field of rail transportation. In this paper, a discrete-time-based mathematical formulation is proposed to address the speed profile optimization problem in order to ensure the safe, efficient, and economical operation of heavy-haul trains (HHTs). Due to the presence of long and steep downgrades (LSDs) on some heavy-haul lines, the brake forces of the HHT are typically jointly determined by air braking and electric braking. The time characteristics of the air braking, such as the command delay and the change process caused by the air pressure, are taken into account, and then formulas are presented to calculate the air brake force. In addition, the influence of the neutral section on the control of the electric braking is considered via space-based constraints. The resulting problem is a nonlinear optimal control problem. To achieve linearization, auxiliary 0-1 binary variables and the big-M approach are introduced to transform the nonlinear constraints regarding slope, curve, neutral section, air brake force, and air-filled time into linear constraints. Moreover, piecewise affine (PWA) functions are used to approximate the basic resistance of the HHT. Finally, a mixed integer linear programming (MILP) model is developed, which can be solved by CPLEX. The experiments are carried out using data from a heavy-haul railway line in China, and the results show that the proposed approach is effective and flexible.http://dx.doi.org/10.1155/2023/6649871
spellingShingle Huazhen Yu
Yihui Wang
Andrea D’Ariano
Anzheng Lai
Youneng Huang
Mixed Integer Linear Programming Based Speed Profile Optimization for Heavy-Haul Trains
Journal of Advanced Transportation
title Mixed Integer Linear Programming Based Speed Profile Optimization for Heavy-Haul Trains
title_full Mixed Integer Linear Programming Based Speed Profile Optimization for Heavy-Haul Trains
title_fullStr Mixed Integer Linear Programming Based Speed Profile Optimization for Heavy-Haul Trains
title_full_unstemmed Mixed Integer Linear Programming Based Speed Profile Optimization for Heavy-Haul Trains
title_short Mixed Integer Linear Programming Based Speed Profile Optimization for Heavy-Haul Trains
title_sort mixed integer linear programming based speed profile optimization for heavy haul trains
url http://dx.doi.org/10.1155/2023/6649871
work_keys_str_mv AT huazhenyu mixedintegerlinearprogrammingbasedspeedprofileoptimizationforheavyhaultrains
AT yihuiwang mixedintegerlinearprogrammingbasedspeedprofileoptimizationforheavyhaultrains
AT andreadariano mixedintegerlinearprogrammingbasedspeedprofileoptimizationforheavyhaultrains
AT anzhenglai mixedintegerlinearprogrammingbasedspeedprofileoptimizationforheavyhaultrains
AT younenghuang mixedintegerlinearprogrammingbasedspeedprofileoptimizationforheavyhaultrains