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Robustness, efficiency and recoverability in public transportation networks

Total activity: 28
Type of activity
Competitive project
Funding entity
Funding entity code
136.730,00 €
Start date
End date
The efficiency and reliability of a public transportation system (urban or interurban) depends on the infrastructure design, planning,
management and operation and supply of services, all in relation to passenger demand. These features directly affect economic activity, in
the use habits of users and has a major impact on environmental issues. Two strategies are essential for improving them: i) increasing the
reliability of infrastructure and transport operations and ii) the definition of an offer of transport services aimed at potential demand and
framed in the context of competition or cooperation. First strategy i) is conditioned by the levels of fleet maintenance and infrastructure, but
both characteristics, robustness and resilience in case of disruptions, as well as strategy ii) are conditioned by design and planning tasks
of the transport networks.
This research project is focused on the development of Operations Research techniques which increase the efficiency and reliability of
urban and intercity public transport systems in the context of competition or cooperation.
Specifically, the levels of strategic and tactical planning under a robust / recoverable point of view are addressed: a) problems of network
design and services for metro and rail through stochastic programming with failure scenarios and their associated recovery and models of
risk aversion. Urban bus systems are also analyzed but incorporating aspects of congested transit passenger assignment; b) flight
programs and rail time-tables considering competition and cooperation in aerial/high speed train modes; c) models for airport and airspace
design and management. In the field of operational models, the project develops a) dynamic models for lines of auxiliary services in case
of disruptions, b) recovery of delays in air transport and management of operations in the terminal area of airports and c) recovery of
incidents for fuel supply problems in the parking areas.
The formulation of previous models leads necessarily to take into account simultaneously with design aspects, tactical and operational
questions and to propose formulations integrating both. To this aim various decomposition techniques in mathematical programming
(Benders) and distributed surrogate-based optimization are investigated in order to achieve computational viability for solving these
Previous models require a representation of transport demand. This aspect is analyzed in the project under the current approach to big
data and machine learning. At operational level, a methodology for estimating dynamically the passengers demand will be analyzed by
Kalman filtering taking into account the possibilities of tracking end-to-end passenger trips, a possibility that each time appears more
clearly offered by using mobile telephony in cooperation with advanced public transport systems and large databases. At tactical and
operational level, IVM (importance vector machines) based discrete choice models are investigated for their application to the estimation of
demand models for competing modes in a context of intercity transport.
aerial, aéreo, cercanías, competencia, competition, modeling, modelización, optimización, optimization, public transportation, railway, recoverability, recuperabilidad, robustez, robustness, simulación, simulation, transporte público
Adm. Estat
Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016
Resoluton 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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