Multi-Objective Optimization of Train Timetable with Consideration of Customer Satisfaction
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Author(s)
Detail(s)
Original language | English |
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Pages (from-to) | 255-265 |
Number of pages | 11 |
Journal / Publication | Transportation Research Record |
Volume | 2672 |
Issue number | 8 |
Online published | 11 Jun 2018 |
Publication status | Published - Dec 2018 |
Link(s)
Abstract
This paper presents a multi-objective optimization framework for mainline train timetabling with consideration of customer satisfaction. The customers’ perspectives considered include their perceptions of service punctuality, waiting times, and comfort of journeys. The optimization formulation is subject to constraints representing operational requirements and signaling systems. The optimization model is applied to the Brighton main line network in south-east England as a case study, and the results demonstrate how the proposed optimization framework can help government and train operators to derive more effective and equitable timetables with consideration of customer satisfaction.
Citation Format(s)
Multi-Objective Optimization of Train Timetable with Consideration of Customer Satisfaction. / Pavlides, Aris; Chow, Andy H. F. .
In: Transportation Research Record, Vol. 2672, No. 8, 12.2018, p. 255-265.
In: Transportation Research Record, Vol. 2672, No. 8, 12.2018, p. 255-265.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review