Reference : Effectiveness of the Two-Step Dynamic Demand Estimation model on large networks
Scientific congresses, symposiums and conference proceedings : Paper published in a journal
Engineering, computing & technology : Multidisciplinary, general & others
Computational Sciences
http://hdl.handle.net/10993/32905
Effectiveness of the Two-Step Dynamic Demand Estimation model on large networks
English
Cantelmo, Guido mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit >]
Viti, Francesco mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit >]
Derrmann, Thierry mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
28-Jun-2017
Proceedings of 2017 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS)
IEEE
Yes
No
International
5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS)
28-6-2017
[en] O-D estimation ; Two-Steps optimisation ; Quasi-Dynamic assumption ; bilevel optimisation ; GSM data
[en] In this paper, the authors present a Two-Step approach that sequentially adjusts generation and distribution values of the (dynamic) OD matrix. While the proposed methodology already provided excellent results for updating demand flows on a motorway, the aim of this paper is to validate this conclusion on a real network: Luxembourg City. This network represents the typical middle-sized European city in terms of network dimension. Moreover, Luxembourg City has the typical structure of a metropolitan area, composed of a city centre, ring, and suburb areas. An innovative element of this paper is to use mobile network data to create a time-dependent profile of the generated demand inside and outside the ring. To support the claim that the model is ready for practical implementation, it is interfaced with PTV Visum, one of the most widely adopted software tools for traffic analysis. Results of these experiments provide a solid empirical ground in order to further develop this model and to understand if its assumptions hold for urban scenarios.
6947587 IDEAS (Fonds National de Recherche FNR)
Researchers ; Professionals
http://hdl.handle.net/10993/32905
10.1109/MTITS.2017.8005697
http://ieeexplore.ieee.org/document/8005697/
FnR ; FNR6947587 > Guido Cantelmo > IDEAS > Improving Demand Estimation With Activity Scheduling > 01/02/2014 > 31/01/2018 > 2013

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