Railway designers and operators have the hard task of identifying effective solutions to achieve the established network performance levels trying to optimize as more as possible the allocation of economic and technical resources available. To this aim, a preliminary sensitivity analysis is strongly recommended to understand which design parameters are really worth focusing on, to improve a certain measure of performance, without wasting efforts for intervening on non relevant parameters.
In this paper in fact, a variance-based sensitivity analysis framework is introduced for supporting decisional processes of railway system design. In particular such framework uses an "own-built" parallel microscopic simulation model to estimate network performances for all possible value combinations of the design parameters involved in the analysis.
A practical application has been then carried out on a real mass transit system to understand how four different performance measures were influenced by four design parameters. Results show that the proposed framework is able to identify for a certain performance the variables which mostly affect it, addressing therefore the users towards the choice of intervention solutions which can lead to more efficient performance improvements.
QUAGLIETTA Egidio;
PUNZO Vincenzo;
2013-03-26
Transportation Research Board of the National Academies
JRC68478
http://www.trb.org/AnnualMeeting2012/AnnualMeeting2012.aspx,
https://publications.jrc.ec.europa.eu/repository/handle/JRC68478,
This document is only visible at the Commission level.
You are not authorized to publish or distribute it outside the European Commission.
This is a public document. You can share this publication.
Additional supporting files
| File name | Description | File type | |
|---|
