Abstract
Situation. Part III and Chap. 8 are targeted to the theoretical modeling of transit systems. The challenge is to match the model’s scope and contents to the real-world features that are relevant to the simulation purposes. As the theoretical development of models is oriented toward the development of scientific knowledge, it takes place mostly in the research arena—research teams, academic network, and scientific reviews.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Börjesson M, Jonsson D, Lundberg M (2013) An ex-post CBA for the Stockholm Metro. CTS working paper 2013 34
Cats O (2013) Multi-agent transit operations and assignment model. Procedia computer science. In: The 2nd international workshop on agent-based mobility, traffic and transportation models, methodologies and applications (ABMTRANS), vol 19, Canada, pp 809–814
Cats O (2014a) An agent-based approach for modeling real-time travel information in transit systems. Procedia computer science. In: The 3rd international workshop on agent-based mobility, traffic and transportation models, methodologies and applications (ABMTRANS), vol 32, pp 744–749 Belgium
Cats O (2014b) Regularity-driven bus operations: principles, implementation and business models. Transp Policy 36:223–230
Cats O, Gkioulou Z (2015) Modelling the impacts of public transport reliability and travel information on passengers’ waiting time uncertainty. EURO J Transp Logistics
Cats O, Jenelius E (2014) Dynamic vulnerability analysis of public transport networks: mitigation effects of real-time information. Netw Spat Econ 14:435–463
Cats O, Burghout W, Toledo T, Koutsopoulos HN (2010) Mesoscopic modeling of bus public transportation. Transp Res Rec 2188:9–18
Cats O, Koutsopoulos HN, Burghout W, Toledo T (2011a) Effect of real-time transit information on dynamic passenger path choice. Transp Res Rec 2217:46–54
Cats O, Larijani AN, Ólafsdóttir A, Burghout W, Andreasson I, Koutsopoulos HN (2012a) Holding control strategies: a simulation-based evaluation and guidelines for implementation. Transp Res Rec 2274:100–108
Cats O, Burghout W, Toledo T, Koutsopoulos HN (2012b) Modeling real-time transit information and its impacts on travelers’ decisions. In: Proceedings of the 91st transportation research board annual meeting, Washington DC
Cats O, Mach Rufi F, Koutsopoulos HN (2014) Optimizing the number and location of time point stops. Public Transp 6:215–235
Cervero R (1995) Sustainable new towns: Stockholm’s rail-served satellites. Cities 12:41–51
Chandakas E (2012) Note sur la capacité du matériel roulant et son affectation sur le réseau Francilien. Working Document, Ecole Nationale des Ponts et Chaussées, Paris Est University, France
Jenelius E, Cats O (2014) The value of new cross-radial link for public transport network resilience. In: Second international conference on vulnerability and risk analysis and management, London, UK
Observatoire de la Mobilité en Ile-de-France (2012) Synthèse de principaux résultats de l’EGT 2010, Edition of the Observatoire de la mobilité en Ile-de-France. OMNIL, France
SL—AB Storstockholms Lokaltrafik (2013) Fakta om SL och länet 2012 (In Swedish—Facts on SL and the county 2012, Stockholm, Sweden
Toledo T, Cats O, Burghout W, Koutsopoulos HN (2010) Mesoscopic simulation for transit operations. Transp Res C 18:896–908
Software publishers contacted
Colby Brown and Michael Clarke (Citilabs)
Michael Florian (INRO Consultants)
Peter Kant (Omnitrans International)
Andres Rabinowicz (Caliper)
Klaus Nökel (PTV Group)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Chandakas, E., Leurent, F., Cats, O. (2016). Applications and Future Developments: Modeling Software and Advanced Applications. In: Gentile, G., Noekel, K. (eds) Modelling Public Transport Passenger Flows in the Era of Intelligent Transport Systems. Springer Tracts on Transportation and Traffic. Springer, Cham. https://doi.org/10.1007/978-3-319-25082-3_9
Download citation
DOI: https://doi.org/10.1007/978-3-319-25082-3_9
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-25080-9
Online ISBN: 978-3-319-25082-3
eBook Packages: EngineeringEngineering (R0)