NDLI: A stochastic approach for assessing intervention strategies in the case of metro system failures

Content Provider	IEEE Xplore Digital Library
Author	Botte, M. D'Acierno, L. Montella, B. Placido, A.
Copyright Year	2015
Description	Author affiliation: D'Appolonia S.p.A., Naples, Italy (Placido, A.) \|\| Dept. Civil, Architectural and Environmental Engineering, Federico II University of Naples, Naples, Italy (Botte, M.; D'Acierno, L.; Montella, B.)
Abstract	Smart mobility is a key factor in the new conceptual urban development model, the so-called "smart city". We focus on rail and metro transport, proposing a multidimensional constrained optimisation model to carry out a sensitivity analysis for evaluating the effectiveness of recovery solutions in the case of disturbed operations. Indeed, after the occurrence of a disturbance or disruption, appropriate intervention strategies have to be implemented in order to address the problem and re-establish ordinary daily service conditions as rapidly as possible. The paper specifically aims to improve the traditional deterministic framework, introducing a stochastic disturbance on train performances and delays, in order to simulate operations as closely as possible to reality, with an ad-hoc objective function to be minimised. An application on a real metro line in Naples (Italy) is provided, showing the benefits of the proposed approach.
Starting Page	1
Ending Page	6
File Size	159937
Page Count	6
File Format	PDF
e-ISBN	9788887237283
DOI	10.1109/AEIT.2015.7415258
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-10-14
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	AEIT
Subject Keyword	Rails Context Analytical models Failure mitigation Sensitivity analysis Microscopy Microscopic and stochastic railway simulation Stochastic processes Metro system Linear programming Public transport management Mathematical model
Content Type	Text
Resource Type	Article

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