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A simulation framework for real-time assessment of dynamic ride sharing demand responsive transportation models

Author
Linares, M. P.; Lídia Montero; Barcelo, J.; Carmona, C.
Type of activity
Presentation of work at congresses
Name of edition
2016 Winter Simulation Conference
Date of publication
2016
Presentation's date
2016-12
Book of congress proceedings
2016 Winter Simulation Conference (WSC): simulating complex service systems: Washington, DC, USA: december 11-14, 2006: proceedings
First page
2216
Last page
2227
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
DOI
https://doi.org/10.1109/WSC.2016.7822263 Open in new window
Project funding
Modelització i Processament de la Informació (MPI)
Robustness, recoverability and adaptability of public transport systems
Repository
http://hdl.handle.net/2117/100759 Open in new window
http://ieeexplore.ieee.org/document/7822263/ Open in new window
URL
http://www.informs-sim.org/wsc16papers/193.pdf Open in new window
Abstract
Sustainable mobility is not only a technological question, automotive technology will be part of the solution combined with a paradigm shift from car ownership to vehicle usage, and the application of Information and Communication Technologies (ICT) making possible for a user to have access to a mobility service from anywhere to anywhere at any time. Multiple Passenger Ridesharing and its variants look one of the more promising emerging mobility concepts. However, implementations of these system...
Citation
Linares, M. P., Lídia Montero, Barcelo, J., Carmona, C. A simulation framework for real-time assessment of dynamic ride sharing demand responsive transportation models. A: Winter Simulation Conference. "2016 Winter Simulation Conference (WSC): simulating complex service systems: Washington, DC, USA: december 11-14, 2006: proceedings". Washington D.C.: Institute of Electrical and Electronics Engineers (IEEE), 2016, p. 2216-2227.
Group of research
CRAHI - Center of Applied Research in Hydrometeorology
IMP - Information Modelling and Processing
inLab FIB

Participants

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