Cost functions and multi-objective timetabling of mixed train services

Cost functions and multi-objective timetabling of mixed train services This paper investigates a set of cost functions for assessing and timetabling mainline train services. The present study incorporates considerations from both operators’ and passengers’ perspectives including service running times, punctuality, waiting times, and comfort of the journeys. The cost functions are applied to a multi-objective optimisation formulation subject to constraints representing operational requirements and signalling systems. The optimisation model is applied to the Brighton Main Line network in Southeast England as a case study, and the results demonstrate how the proposed optimisation framework can help government and train operators to derive more effective and equitable timetable with consideration of customer satisfaction. A Pareto analysis is further derived to illustrate the trade-off between conflicting objectives in the optimisation process under different circumstances. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Transportation Research Part A: Policy and Practice Elsevier

Cost functions and multi-objective timetabling of mixed train services

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Publisher
Elsevier
Copyright
Copyright © 2018 Elsevier Ltd
ISSN
0965-8564
eISSN
1879-2375
D.O.I.
10.1016/j.tra.2018.04.027
Publisher site
See Article on Publisher Site

Abstract

This paper investigates a set of cost functions for assessing and timetabling mainline train services. The present study incorporates considerations from both operators’ and passengers’ perspectives including service running times, punctuality, waiting times, and comfort of the journeys. The cost functions are applied to a multi-objective optimisation formulation subject to constraints representing operational requirements and signalling systems. The optimisation model is applied to the Brighton Main Line network in Southeast England as a case study, and the results demonstrate how the proposed optimisation framework can help government and train operators to derive more effective and equitable timetable with consideration of customer satisfaction. A Pareto analysis is further derived to illustrate the trade-off between conflicting objectives in the optimisation process under different circumstances.

Journal

Transportation Research Part A: Policy and PracticeElsevier

Published: Jul 1, 2018

References

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