A Game-based Model for Pricing and Timetabling in Liberalised Passenger Railway Markets
ricardo-garcia-rodenas
Julio Alberto Lopez Gomez
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1 min read
The time slot allocation problem in liberalised passenger railway markets: a multi-objective approach
This paper addresses the time slot allocation problem within the context of a liberalized passenger railway market as a multi-objective model. We propose two criteria for making …
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A prediction and behavioural analysis of machine learning methods for modelling travel mode choice
The emergence of a variety of Machine Learning (ML) approaches for travel mode choice prediction poses an interesting question to transport modellers: which models should be used …
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The time slots allocation problem in liberalised passenger railway markets: a multi-objective approach
nikola-besinovic
ROBIN: Rail mOBIlity simulatioN
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A comparative study of machine learning, deep neural networks and random utility maximization models for travel mode choice modelling
Traditionally, Random Utility Maximization (RUM) models have been widely applied to travel mode choice modelling. Currently, Machine Learning (ML) models are being applied as an …
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A comparative study of machine learning, deep neural networks and random utility maximization models for travel mode choice modelling
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