Change search
Refine search result
123 1 - 50 of 106
CiteExportLink to result list
Permanent link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Rows per page
  • 5
  • 10
  • 20
  • 50
  • 100
  • 250
Sort
  • Standard (Relevance)
  • Author A-Ö
  • Author Ö-A
  • Title A-Ö
  • Title Ö-A
  • Publication type A-Ö
  • Publication type Ö-A
  • Issued (Oldest first)
  • Issued (Newest first)
  • Created (Oldest first)
  • Created (Newest first)
  • Last updated (Oldest first)
  • Last updated (Newest first)
  • Disputation date (earliest first)
  • Disputation date (latest first)
  • Standard (Relevance)
  • Author A-Ö
  • Author Ö-A
  • Title A-Ö
  • Title Ö-A
  • Publication type A-Ö
  • Publication type Ö-A
  • Issued (Oldest first)
  • Issued (Newest first)
  • Created (Oldest first)
  • Created (Newest first)
  • Last updated (Oldest first)
  • Last updated (Newest first)
  • Disputation date (earliest first)
  • Disputation date (latest first)
Select
The maximal number of hits you can export is 250. When you want to export more records please use the 'Create feeds' function.
  • 1. Almroth, Andreas
    et al.
    Berglund, Svante
    KTH, School of Architecture and the Built Environment (ABE), Transport Science, Transport planning, economics and engineering.
    Engelsson, Leonid
    KTH, School of Architecture and the Built Environment (ABE), Transport Science, Transport planning, economics and engineering.
    Canella, Olivier
    Flötteröd, Gunnar
    KTH, School of Architecture and the Built Environment (ABE), Transport Science, Transport planning, economics and engineering.
    Jonsson, Daniel
    KTH, School of Architecture and the Built Environment (ABE), Transport Science, Transport planning, economics and engineering.
    Kristoffersson, Ida
    West, Jens
    KTH, School of Architecture and the Built Environment (ABE), Transport Science, Transport planning, economics and engineering. SWECO, Sweden.
    Further development of SAMPERS and modeling of urban congestion2014Report (Other academic)
    Abstract [en]

    The need to more precisely represent the consequences of congestion mitigation policies in urban transport systems calls for replacement of the static equilibrium assignment by DTA in the integrated travel demand and traffic assignment models. Despite of the availability of DTA models and despite of the conceptual clarity of how such integration should take place, only few operational model systems have been developed for large-scale applications. We report on replacement of the static traffic assignment by two different DTAs in the four stage demand model for the Greater Stockholm region: the macroscopic analytic Visum DUE and microscopic simulation Transmodeler. First results show that even without systematic calibration the DTA is in reasonable agreement with observed traffic counts and travel times. The presented experiments did not reveal striking difference between using macroscopic and microscopic assignment package. However, given the clear trend to microscopic modeling and simulation on the travel demand side, the use of micro-simulation-based DTA package appears more natural from system integration perspective.

  • 2.
    Berglund, Svante
    et al.
    KTH, School of Architecture and the Built Environment (ABE), Transport Science, Transport planning, economics and engineering.
    Canella, Olivier
    Engelsson, Leonid
    KTH, School of Architecture and the Built Environment (ABE), Transport Science, Transport planning, economics and engineering.
    Flötteröd, Gunnar
    KTH, School of Architecture and the Built Environment (ABE), Transport Science, Transport planning, economics and engineering.
    Jonsson, Daniel
    KTH, School of Architecture and the Built Environment (ABE), Transport Science, Transport planning, economics and engineering.
    Kristoffersson, Ida
    West, Jens
    KTH, School of Architecture and the Built Environment (ABE), Transport Science, Transport planning, economics and engineering. SWECO, Sweden.
    Integration of dynamic traffic assignment with a travel demand model for the Stockholm region2014Conference paper (Other academic)
  • 3.
    Bierlaire, Michel
    et al.
    Transport and Mobility Laboratory, Ecole Polytechnique Federale de Lausanne.
    Flötteröd, Gunnar
    Transport and Mobility Laboratory, Ecole Polytechnique Fédérale de Lausanne.
    An analysis of the implicit choice set generation using the constrained multinomial logit model2010In: Transportation Research Record, ISSN 0361-1981, E-ISSN 2169-4052, Vol. 2175, p. 92-97Article in journal (Refereed)
    Abstract [en]

    Discrete choice models are defined conditional to the analyst's knowledge of the actual choice set. The common practice for many years has been to assume that individual-based choice sets can be deterministically generated on the basis of the choice context and characteristics of the decision maker. This assumption is not valid or not applicable in many situations, and probabilistic choice set formation procedures must be considered. The constrained multinomial logit model (CMNL) has recently been proposed as a convenient way to deal with this issue, as it is also appropriate for models with a large choice set. In this paper, how well the implicit choice set generation of the CMNL approximates the explicit choice set generation is analyzed as described in earlier research. The results based on synthetic data show that the implicit choice set generation model may be a poor approximation of the explicit model

  • 4. Bierlaire, Michel
    et al.
    Flötteröd, Gunnar
    Transport and Mobility Laboratory, Ecole Polytechnique Fédérale de Lausanne.
    Metropolis-Hastings sampling of alternatives for route choice models2010In: Proceedings of the Swiss Transport Research Conference (STRC), 2010Conference paper (Refereed)
    Abstract [en]

    We describe a new approach to the sampling of route choice sets using the Metropolis-Hastingsalgorithm.

  • 5. Chen, Jingmin
    et al.
    Bierlaire, Michel
    Flötteröd, Gunnar
    KTH, School of Architecture and the Built Environment (ABE), Transport Science, Traffic and Logistics.
    Probabilistic multi-model map matching with rich smartphone data2011In: Proceedings of the Swiss Transport Research Conference (STRC), 2011Conference paper (Refereed)
  • 6. Corthout, Ruben
    et al.
    Flötteröd, Gunnar
    KTH, School of Architecture and the Built Environment (ABE), Transport Science, Traffic and Logistics.
    Viti, Francesco
    Department of Mechanical Engineering, CIB/Traffic & Infrastructure, Katholieke Universiteit Leuven, Belgium.
    Tampere, Chris
    Non-unique flows in macroscopic first-order intersection models2012In: Transportation Research Part B: Methodological, ISSN 0191-2615, E-ISSN 1879-2367, Vol. 46, no 3, p. 343-359Article in journal (Refereed)
    Abstract [en]

    Currently, most intersection models embedded in macroscopic Dynamic Network Loading (DNL) models are not well suited for urban and regional applications. This is so because so-called internal supply constraints, bounding flows due to crossing and merging conflicts inherent to the intersection itself, are missing. This paper discusses the problems that arise upon introducing such constraints. A general framework for the distribution of (internal) supply is adopted, which is based on the definition of priority parameters that describe the strength of each flow in the competition for a particular supply. Using this representation, it is shown that intersection models - with realistic behavioral assumptions, and in simple configurations - can produce non-unique flow patterns under identical boundary conditions. This solution non-uniqueness is thoroughly discussed and approaches on how it can be dealt with are provided. Also, it is revealed that the undesirable model properties are not solved - but rather enhanced - when diverting from a point-like to a spatial modeling approach.

  • 7. Djukic, T.
    et al.
    Flötteröd, Gunnar
    KTH, School of Architecture and the Built Environment (ABE), Transport Science, Traffic and Logistics.
    Van Lint, H.
    Hoogendoorn, S.
    Efficient real time OD matrix estimation based on Principal Component Analysis2012In: Intelligent Transportation Systems (ITSC), 2012 15th International IEEE Conference on, IEEE , 2012, p. 115-121Conference paper (Refereed)
    Abstract [en]

    In this paper we explore the idea of dimensionality reduction and approximation of OD demand based on principal component analysis (PCA). First, we show how we can apply PCA to linearly transform the high dimensional OD matrices into the lower dimensional space without significant loss of accuracy. Next, we define a new transformed set of variables (demand principal components) that is used to represent the fixed structure of OD matrices in lower dimensional space. We update online these new variables from traffic counts in a novel reduced state space model for real time estimation of OD demand. Through an example we demonstrate the quality improvement of OD estimates using this new formulation and a so-called 'colored' Kalman filter over the standard Kalman filter approach for OD estimation, when correlated measurement noise is accounted due to reduction of variables in state vector.

  • 8. Dressler, Daniel
    et al.
    Flötteröd, Gunnar
    Transport andMobility Laboratory, Ecole Polytechnique Fédérale de Lausanne, Switzerland.
    Lämmel, Gregor
    Nagel, Kai
    Skutella, Martin
    Optimal evacuation solutions for large-scale scenarios2011In: Operations Research Proceedings 2010: Selected Papers of the Annual International Conference of the German Operations Research Society / [ed] Bo Hu, Karl Morasch, Stefan Pickl, Markus Siegle, Springer, 2011, p. 239-244Conference paper (Refereed)
  • 9. Farooq, Bilal
    et al.
    Bierlaire, Michel
    École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland .
    Hurtubia, Ricardo
    Flötteröd, Gunnar
    KTH, School of Architecture and the Built Environment (ABE), Transport Science, Traffic and Logistics.
    Simulation based population synthesis2013In: Transportation Research Part B: Methodological, ISSN 0191-2615, E-ISSN 1879-2367, Vol. 58, no SI, p. 243-263Article in journal (Refereed)
    Abstract [en]

    Microsimulation of urban systems evolution requires synthetic population as a key input. Currently, the focus is on treating synthesis as a fitting problem and thus various techniques have been developed, including Iterative Proportional Fitting (IPF) and Combinatorial Optimization based techniques. The key shortcomings of these procedures include: (a) fitting of one contingency table, while there may be other solutions matching the available data (b) due to cloning rather than true synthesis of the population, losing the heterogeneity that may not have been captured in the microdata (c) over reliance on the accuracy of the data to determine the cloning weights (d) poor scalability with respect to the increase in number of attributes of the synthesized agents. In order to overcome these shortcomings, we propose a Markov Chain Monte Carlo (MCMC) simulation based approach. Partial views of the joint distribution of agent's attributes that are available from various data sources can be used to simulate draws from the original distribution. The real population from Swiss census is used to compare the performance of simulation based synthesis with the standard IPF. The standard root mean square error statistics indicated that even the worst case simulation based synthesis (SRMSE = 0.35) outperformed the best case IPF synthesis (SRMSE = 0.64). We also used this methodology to generate the synthetic population for Brussels, Belgium where the data availability was highly limited.

  • 10. Fetiarison, Mamy
    et al.
    Flötteröd, Gunnar
    Ecole Polytech Fed Lausanne, Transport & Mobil Lab, Lausanne, Switzerland.
    Bierlaire, Michel
    Evaluation of pedestrian data collection methods within a simulation framework2010In: Proceedings of the European Transport Conference, 2010Conference paper (Refereed)
    Abstract [en]

    The estimation and validation of pedestrian behavioral models requires large amounts of detailedand appropriate data, the collection of which is a costly and time-consuming undertaking.The identification and design of an appropriate data collection method therefore is of great importance,which, however, is an arduous and itself time-consuming task. This article describesa software laboratory that facilitates the design of pedestrian data collection campaigns.

  • 11.
    Flötteröd, Gunnar
    Transport Systems Planning and Transport Telematics Laboratory, Technical University of Berlin, Germany.
    A fully disaggregate approach to the calibration of simulation-based DTA2008In: Proceedings of the 2nd International Symposium on Dynamic Traffic Assignment, 2008Conference paper (Refereed)
  • 12.
    Flötteröd, Gunnar
    Transport and Mobility Laboratory, Ecole Polytechnique Fédérale de Lausanne, Switzerland.
    A general methodology and a free software for the demand calibration of DTA models2010In: Proceedings of the 3rd International Symposium on Dynamic Traffic Assignment, 2010Conference paper (Refereed)
  • 13.
    Flötteröd, Gunnar
    Transport Systems Planning and Transport Telematics Laboratory, Technical University of Berlin, Germany.
    A model and an algorithm for behavioral traffic state estimation2006Conference paper (Other academic)
  • 14.
    Flötteröd, Gunnar
    KTH, School of Architecture and the Built Environment (ABE), Transport Science, System Analysis and Economics.
    A search acceleration method for optimization problems with transport simulation constraints2017In: Transportation Research Part B: Methodological, ISSN 0191-2615, Vol. 98, p. 1339-1351Article in journal (Refereed)
    Abstract [en]

    This work contributes to the rapid approximation of solutions to optimization problems that are constrained by iteratively solved transport simulations. Given an objective function, a set of candidate decision variables and a black-box transport simulation that is solved by iteratively attaining a (deterministic or stochastic) equilibrium, the proposed method approximates the best decision variable out of the candidate set without having to run the transport simulation to convergence for every single candidate decision variable. This method can be inserted into a broad class of optimization algorithms or search heuristics that implement the following logic: (i) Create variations of a given, currently best decision variable, (ii) identify one out of these variations as the new currently best decision variable, and (iii) iterate steps (i) and (ii) until no further improvement can be attained. A probabilistic and an asymptotic performance bound are established and exploited in the formulation of an efficient heuristic that is tailored towards tight computational budgets. The efficiency of the method is substantiated through a comprehensive simulation study with a non-trivial road pricing problem. The method is compatible with a broad range of simulators and requires minimal parametrization.

  • 15.
    Flötteröd, Gunnar
    Transport Systems Planning and Transport Telematics Laboratory, Technical University of Berlin, Germany.
    Bayesian calibration of microscopic travel demand models from traffic counts2008Conference paper (Other academic)
    Abstract [en]

    The calibration of microsimulation-based demand models is a difficult problem, and there is no source of information that may be disregarded in this process. This work shows how traffic counts can be consistently incorporated in the calibration. The approach is mathematically sound, computationally efficient, and compatible with typical microsimulation techniques

  • 16.
    Flötteröd, Gunnar
    Transport and Mobility Laboratory, Ecole Polytechnique Fédérale de Lausanne, Switzerland.
    Cadyts: a free calibration tool for dynamic traffic simulations2009In: Proceedings of the Swiss Transport Research Conference (STRC), 2009Conference paper (Refereed)
    Abstract [en]

    This article reports on the realization and on first applications of the Cadyts (“Calibration ofdynamic traffic simulations”) calibration tool. The presented first version of Cadyts calibratesdisaggregate demand models of dynamic traffic assignment simulators from traffic counts. Thetool is broadly applicable in that it (i) makes only very mild assumptions about the calibratedsimulator’s workings and (ii) allows for various modes of technical interaction with the simulationsoftware. The article provides a both conceptual and technical overview of the tool andexemplary demonstrates its applicability to two different traffic microsimulators.

  • 17.
    Flötteröd, Gunnar
    KTH, School of Architecture and the Built Environment (ABE), Transport Science, Traffic and Logistics.
    Calibration of traffic simulations from network data2011Conference paper (Other academic)
  • 18.
    Flötteröd, Gunnar
    Transport and Mobility Laboratory, Ecole Polytechnique Fédérale de Lausanne, Switzerland.
    Challenges in the calibration of transport network models2009Conference paper (Other academic)
  • 19.
    Flötteröd, Gunnar
    Transport and Mobility Laboratory, Ecole Polytechnique Fédérale de Lausanne, Switzerland.
    Demand calibration from network data2010Conference paper (Other academic)
  • 20.
    Flötteröd, Gunnar
    Transport and Mobility Laboratory, Ecole Polytechnique Fédérale de Lausanne, Switzerland.
    Disaggregate simulation and some implications for calibration2011Conference paper (Other academic)
  • 21.
    Flötteröd, Gunnar
    KTH, School of Architecture and the Built Environment (ABE), Transport Science, Traffic and Logistics.
    Efficient calibration of stochastic traffic simulation models2013Conference paper (Refereed)
  • 22.
    Flötteröd, Gunnar
    Transport andMobility Laboratory, Ecole Polytechnique Fédérale de Lausanne, Switzerland.
    Estimation of choice models in dynamic traffic simulations2010Conference paper (Other academic)
  • 23.
    Flötteröd, Gunnar
    Transport and Mobility Laboratory, Ecole Polytechnique Fédérale de Lausanne, Switzerland.
    File-based interaction between Cadyts and SUMO2010Conference paper (Other academic)
  • 24.
    Flötteröd, Gunnar
    Ecole Polytech Fed Lausanne, Transport & Mobil Lab, Lausanne, Switzerland.
    Going beyond path flow estimation: calibration of arbitrary choice dimensions from traffic counts2010Conference paper (Other academic)
  • 25.
    Flötteröd, Gunnar
    Transport andMobility Laboratory, Ecole Polytechnique Fédérale de Lausanne, Switzerland.
    Integrated dynamic transport simulations2011Conference paper (Other academic)
  • 26.
    Flötteröd, Gunnar
    Transport and Mobility Laboratory, Ecole Polytechnique Fédérale de Lausanne, Switzerland.
    Intelligent traffic systems2010Conference paper (Other academic)
  • 27.
    Flötteröd, Gunnar
    Transport and Mobility Laboratory, Ecole Polytechnique Fédérale de Lausanne, Switzerland.
    Macroscopic network loading of microscopic travel demand2009In: New Developments in Transport Planning: Advances in Dynamic Traffic Assignment / [ed] Chris M J Tampere, Francesco Viti, Lambertus H Immers, Edward Elgar Publishers , 2009, p. 275-291Chapter in book (Refereed)
    Abstract [en]

    This chapter describes a computationally efficient technique for the network loading of microscopically represented travel demand with microscopic supply models. Beyond its experimentally demonstrated computational performance, the following features of the demands are worth noting: (i) the microscopic flow model is coupled to the microscopic demand model through a filtering mechanism that effectively removes most vehicle discretization noise; (ii) analytical features such as continuity or differentiability of the macroscopic traffic flow model are preserved despite the microscopic traveler representation.

  • 28.
    Flötteröd, Gunnar
    KTH, School of Architecture and the Built Environment (ABE), Transport Science, Traffic and Logistics.
    Mathematical analysis of MATSim's traffic flow model2012Conference paper (Refereed)
  • 29.
    Flötteröd, Gunnar
    Transport Systems Planning and Transport Telematics Laboratory, Technical University of Berlin, Germany.
    Mathematically consistent traffic monitoring with microsimulators2008Conference paper (Other academic)
  • 30.
    Flötteröd, Gunnar
    KTH, School of Architecture and the Built Environment (ABE), Transport Science, Traffic and Logistics.
    MATSim as a Monte Carlo engine2012Conference paper (Refereed)
  • 31.
    Flötteröd, Gunnar
    KTH, School of Architecture and the Built Environment (ABE), Transport Science, Traffic and Logistics.
    Modeling multi-modal trip chains2012Conference paper (Refereed)
  • 32.
    Flötteröd, Gunnar
    Transport and Mobility Laboratory, Ecole Polytechnique Fédérale de Lausanne, Switzerland.
    Models and methods for road traffic telematics2010Conference paper (Other academic)
  • 33.
    Flötteröd, Gunnar
    KTH, School of Architecture and the Built Environment (ABE), Transport Science, Traffic and Logistics.
    Monitoring transport system performance from human sensors2012Conference paper (Refereed)
  • 34.
    Flötteröd, Gunnar
    Transport and Mobility Laboratory, Ecole Polytechnique Fédérale de Lausanne, Switzerland.
    Necessary and sufficient condition for unique flows in certain intersection models2011In: Proceedings of the Swiss Transport Research Conference (STRC), 2011Conference paper (Other academic)
  • 35.
    Flötteröd, Gunnar
    Transport andMobility Laboratory, Ecole Polytechnique Fédérale de Lausanne, Switzerland.
    Recent advances in the calibration of travel demand models from traffic counts2009Conference paper (Other academic)
  • 36.
    Flötteröd, Gunnar
    KTH, School of Architecture and the Built Environment (ABE), Transport Science, Traffic and Logistics.
    Selected activities at KTH's Department of Transport Science2012Conference paper (Other academic)
  • 37. Flötteröd, Gunnar
    Simulation-based dynamic traffic assignment is not a black box2011Conference paper (Other academic)
  • 38.
    Flötteröd, Gunnar
    KTH, School of Architecture and the Built Environment (ABE), Transport Science, Traffic and Logistics.
    Synchronizing multi-agent simulations with the behavior of real actors2012Conference paper (Refereed)
  • 39.
    Flötteröd, Gunnar
    KTH, School of Architecture and the Built Environment (ABE), Transport Science, Traffic and Logistics.
    Towards a comprehensive calibration methodology for MATSim2011Conference paper (Other academic)
  • 40.
    Flötteröd, Gunnar
    Transport Systems Planning and Transport Telematics Laboratory, Technical University of Berlin, Germany.
    Towards a traffic telematics testbed at TUB2005Conference paper (Other academic)
  • 41.
    Flötteröd, Gunnar
    Transport Systems Planning and Transport Telematics Laboratory, Technical University of Berlin, Germany.
    Towards the mathematically consistent calibration of integrated transportation microsimulations2008Conference paper (Other academic)
  • 42.
    Flötteröd, Gunnar
    Transport Systems Planning and Transport Telematics Laboratory, Technical University of Berlin, Germany.
    Tracking of route and destination choice with a multi-agent traffic simulation2007Conference paper (Other academic)
  • 43.
    Flötteröd, Gunnar
    Transport Systems Planning and Transport Telematics Laboratory, Technical University of Berlin, Germany.
    Traffic simulation and dynamic traffic assignment2008Conference paper (Other academic)
  • 44.
    Flötteröd, Gunnar
    TU Berlin.
    Traffic state estimation with multi-agent simulations2008Doctoral thesis, comprehensive summary (Other academic)
  • 45.
    Flötteröd, Gunnar
    Ecole Polytech Fed Lausanne, Transport & Mobil Lab, Lausanne, Switzerland.
    Transportation research at the TRANSP-OR laboratory2009Conference paper (Other academic)
  • 46.
    Flötteröd, Gunnar
    et al.
    KTH, School of Architecture and the Built Environment (ABE), Transport Science.
    Bierlaire, M.
    Metropolis-Hastings sampling of paths2013In: Transportation Research Part B: Methodological, ISSN 0191-2615, E-ISSN 1879-2367, Vol. 48, p. 53-66Article in journal (Refereed)
    Abstract [en]

    We consider the previously unsolved problem of sampling paths according to a given distribution from a general network. The problem is difficult because of the combinatorial number of alternatives, which prohibits a complete enumeration of all paths and hence also forbids to compute the normalizing constant of the sampling distribution. The problem is important because the ability to sample from a known distribution introduces mathematical rigor into many applications, including the estimation of choice models with sampling of alternatives that can be formalized as paths in a decision network (most obviously route choice), probabilistic map matching, dynamic traffic assignment, and route guidance.

  • 47.
    Flötteröd, Gunnar
    et al.
    Transport and Mobility Laboratory, Ecole Polytechnique Fédérale de Lausanne, Switzerland.
    Bierlaire, Michel
    Coping with the data needs of integrated urban microsimulations2010Conference paper (Other academic)
  • 48.
    Flötteröd, Gunnar
    et al.
    Transport and Mobility Laboratory, Ecole Polytechnique Fédérale de Lausanne, Switzerland.
    Bierlaire, Michel
    Improved estimation of travel demand from network counts by a new linearization of the network loading map2009In: Proceedings of the European Transport Conference, 2009Conference paper (Refereed)
  • 49.
    Flötteröd, Gunnar
    et al.
    Transport and Mobility Laboratory, Ecole Polytechnique Fédérale de Lausanne, Switzerland.
    Bierlaire, Michel
    Metropolis Hastings sampling of alternatives for route choice models2010Conference paper (Other academic)
  • 50.
    Flötteröd, Gunnar
    et al.
    Transport and Mobility Laboratory, Ecole Polytechnique Fédérale de Lausanne, Switzerland.
    Bierlaire, Michel
    Metropolis-Hastings sampling of paths2011Conference paper (Other academic)
123 1 - 50 of 106
CiteExportLink to result list
Permanent link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf