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Development of dynamic OD estimators exploiting ICT traffic measurements

Total activity: 9
Type of activity
Competitive project
Funding entity
AGAUR. Agència de Gestió d'Ajuts Universitaris i de Recerca
Funding entity code
2017 DI 041
33.960,00 €
Start date
End date
One of the research topics of the SGR Research Group IMP-Information Modelling and Processing has addressed the topic of the estimation of time-dependent mobility patterns, a critical input to any Advanced Traffic Control and Management System, a core component of an Intelligent Transportation System. This work has been done through the participation in National Research Projects (In4Mo, Reference: TSI-020100-2010-690, and MITRA, Reference TRA2009-14270) and European (MULTITUDE (Methods and tools for supporting the Use, caLibration and validaTIon of Traffic simUlations moDEls), Action (TU0903) supported by the EU COST office (European Cooperation in Science and Technology)

The proposed Ph D Thesis should be based on the existing experience of exploiting traffic measurements (e.g. traffic flow counts, point seeds) supplied by conventional technologies (e.g. inductive loop detectors, radar…) in combination with traffic related measurement supplied by ICT applications (e.g. Bluetooth, GPS, Smartphones…) and its main objectives will be to develop the knowledge advances in the mathematical models to successfully exploit the new types that the new technologies make available, and develop procedures that can be used in practice for long term planning objectives and for real-time operational applications. The workplan will consist on two stages.

Stage 1:

a. Adapt and integrate state of the art procedures, as for instance those based on Simulation-Optimization approaches, like the bi-level SPSA approaches, exploiting the available measurements from conventional traffic detection technologies (i.e. inductive loop detectors, radar, etc.) and those provided by TIC applications (i.e. Bluetooth/Wi-Fi, GPS tracking….)

b. Develop ad hoc APIs and scripts to implement the procedures in a MULTITUDE-like platform suitable for benchmarking different computational approaches

c. Computational tests to verify quality and robustness

d. Provide support to some of the ongoing projects (e.g. Virtual Mobility Lab BCN)

Stage 2:

a. Analyse the suitability of additional information, e.g. from Smartphones, Waze applications, etc., to improve the quality of the estimations

b. From low degree of dynamicity (time intervals of 30 minutes, 1 hour) to high degree of dynamicity (e.g. time intervals of 5 minutes) suitable for real-time applications, based on other approaches (e.g. Kalman Filter)
Adm. Generalitat
V Pla de Recerca i Innovació de Catalunya (PRI). 2010-2013
Call year
Funding call
Doctorats Industrials
Grant institution
Agència De Gestió D'ajuts Universitaris I De Recerca (agaur)


Scientific and technological production

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