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A combined and robust modal-split/traffic assignment model for rail and road freight transport
Searching for achieving an ambitious reduction in greenhouse gas emissions, the EU has set as a goal a modal shift in freight transport …
Francisca Rosell
,
Esteve Codina
,
Lídia Montero
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DOI
Demand model estimation from smartphone data. An application to assert new urbanistic development scenarios
The pervasive use of mobile devices has brought a valuable new source of data. The work presented here has a twofold objective: …
Lídia Montero
,
Javier Ortigosa
,
Xavier Alarcón
,
Maria Paz Linares
,
Marta Cuatrecasas
,
Jordi Cluet
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DOI
A Mixed-integer Linear Program for Real-time Train Platforming Management
Unexpected events may perturb operations and generate conflicts that must be addressed promptly to limit delay propagation and other …
Ricardo García Ródenas
,
María Luz López-García
,
Luis Cadarso
,
Esteve Codina
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DOI
Microscopic Disruption Management: Energy Consumption and Passenger Compensation Optimisation
Rail operations are often disrupted by accidents that cause traffic to diverge from the scheduled operations, rendering it difficult to …
Luis Cadarso
,
Esteve Codina
,
Ricardo García Ródenas
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DOI
An Intermodal Dispatcher for the Assignment of Public Transport and Ride Pooling Services
This paper describes the components of an intermodal dispatcher of ride pooling requests to integrate these urban mobility systems with …
Ester Lorente
,
Jaume Barceló
,
Esteve Codina
,
K. Noekel
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DOI
Transport analytic approaches to the dynamic origin-destination estimation problem
Dynamic traffic models require dynamic inputs, one of the main ones being the Dynamic Origin–Destinations (OD) matrices describing the …
Xavier Ros-Roca
,
Lídia Montero
,
Jaume Barceló
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DOI
Exploring the Direct and Indirect Use of ICT Measurements in DODME (Dynamic OD Matrix Estimation)
The estimation of the network traffic state, its likely short-term evolution, the prediction of the expected travel times in a network, …
Xavier Ros-Roca
,
Lídia Montero
,
Jaume Barceló
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DOI
Revisiting kernel logistic regression under the random utility models perspective. An interpretable machine-learning approach
The success of machine-learning methods is spreading their use to many different fields. This paper analyses one of these methods, the …
José Ángel Martín-Baos
,
Ricardo García Ródenas
,
Luis Rodriguez-Benitez
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DOI
A surrogate-based cooperative optimization framework for computationally expensive black-box problems
Most parallel surrogate-based optimization algorithms focus only on the mechanisms for generating multiple updating points in each …
José Carlos García-García
,
Ricardo García Ródenas
,
Esteve Codina
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DOI
A model that assesses proposals for infrastructure improvement and capacity expansion on a mixed railway network
This paper presents a mathematical programming-based model for evaluating the impact on a mixed railway network from proposals for …
Francisca Rosell
,
Esteve Codina
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