TelematiV1, Main, Exploration, bibRecord, 000A52

Bayesian Demand Calibration for Dynamic Traffic Simulations

Identifieur interne : 000A52 ( Main/Exploration ); précédent : 000A51; suivant : 000A53

Bayesian Demand Calibration for Dynamic Traffic Simulations

Auteurs : Gunnar Flotterod [Suisse] ; Michel Bierlaire [Allemagne] ; Kai Nagel [Allemagne]

Source :

Transportation science [ 0041-1655 ] ; 2011.

RBID : Pascal:12-0240630

Descripteurs français

Pascal (Inist)
- Transports, Gestion trafic, Affectation trafic, Demande transport, Modèle simulation, Ecoulement trafic, Estimation Bayes, Etalonnage, Modèle désagrégé, Exemple, Etude cas, Suisse, Système multiagent, Modèle dynamique.
Wicri :
- geographic : Suisse.

English descriptors

KwdEn :
- Bayes estimation, Calibration, Case study, Disaggregate demand model, Dynamic model, Example, Multiagent system, Simulation model, Switzerland, Traffic assignment, Traffic flow, Traffic management, Transport demand, Transportation.

Abstract

We present an operational framework for the calibration of demand models for dynamic traffic simulations, where calibration refers to the estimation of a structurally predefined model's parameters from real data. Our focus is on disaggregate simulators that represent every traveler individually. We calibrate, also at an individual level, arbitrary choice dimensions within a Bayesian framework, where the analyst's prior knowledge is represented by the dynamic traffic simulator itself and the measurements are comprised of time-dependent traffic counts. The approach is equally applicable to an equilibrium-based planning model and to a telematics model of spontaneous and imperfectly informed drivers. It is based on consistent mathematical arguments, yet it is applicable in a purely simulation-based environment and, as our experimental results show, is capable of handling large scenarios.

Affiliations:

Links toward previous steps (curation, corpus...)

to stream PascalFrancis, to step Corpus: 000040
to stream PascalFrancis, to step Curation: 000633
to stream PascalFrancis, to step Checkpoint: 000044
to stream Main, to step Merge: 000A53
to stream Main, to step Curation: 000A52

Le document en format XML

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Bayesian Demand Calibration for Dynamic Traffic Simulations

Bayesian Demand Calibration for Dynamic Traffic Simulations

Source :

Descripteurs français

English descriptors

Abstract

Links toward previous steps (curation, corpus...)

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri