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Robustness, recoverability and adaptability of public transport systems

Total activity: 8
Type of activity
Competitive project
Funding entity
Funding entity code
117.370,00 €
Start date
End date
his project can be considerad a follow up of previous projects that have been carried out in coordination with Universidad Politécnica de Madrid and Universidad de Castilla La Mancha in National l+D Research Spanish Programmes: BFM200204548C0301,
TRA200509068C0302/MODAL, TRA200806782C0202 y TRA201127791 C0302, ali them focused on aspects relatad to the design and
planning of public transportation networks and using tools coming from the Operational Research and Mathematical Programming areas.
In the curre ni project both the robustness and recoverablllty and the adaptability of transport systems to demand fluctuations and incidents are tackled as an additional way of enhancing these services. On the one hand, Jointly with UPM, rallway and metro network design
problems are ccnsidered by building combinad strategical and tactical models that integrate disruption scenarios, either origlnated by the
rolling stock itself or externally. As part of these design models, disrupUon probability models are taken into account in order not to incurr in prohibitiva costs. Along wlth each disruption scenario, recovery actions models are also integrated in the design process, thus aiming at a recoverable robustness design. This statement is also adaptad to the case of services, time table recovery and planning.
Another design aspee! also dealt with is !he congestion of bus and metro lines in an urban context. Thus, design models that are
developed need to be consistent wlth congested passenger transit assignment models, studied in previous projects by UPCs research
team. The formulated problems are solved using Benders decomposition basad techniques for MINLP and variational inequalities.
Optimization methods based on surface response for simulation-based models are studied jointly with UCLM. 1 n these models, the
objective function is defined as a black-box and its evaluation has a high compulational cost. The contributions rely on the introduction of parallelization strategies and !he development of specific quality functions far !he simulaUon models for railwau systems considerad in this project. In such a way it is possible to have an accurate representation of logistic aspects in railway systems, with emphasys on high
speed trains.
In order to make bus and metro systems adaptable to time-varying demand and incidents, it is necessary to have proper tools far demand estlmation and prediction. In thls project, non-linear Kalman filter based methods for dynamic 0-0 trip demand matrices estimation are
extended to public transport systems under congestion effects and it is pursued also the study the possibilities offered by several
Communications and lnformation Technologies to this end. An optimization based model relylng on diachronic networks is developed far a dynamic adaptation of services when different sources of information about the demand is provided by these technologies.
Adm. Estat
Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016
Call year
Funcding program
Programa Estatal de Fomento de la Investigación Científica y Técnica de Excelencia
Funding subprogram
Subprograma Estatal de Generación de Conocimiento
Funding call
Excelencia: Proyectos I+D
Grant institution
Gobierno De España. Ministerio De Economía Y Competitividad, Mineco


Scientific and technological production

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