Publications by Gunnar Flötteröd

Revisiting the Route Choice Problem: A Modeling Framework Based on Mental Representations

Michel Bierlaire, Gunnar Flötteröd, Evanthia Kazagli

We present a new approach for modeling and analyzing route choice behavior. It is motivated by the need to reduce the complexity of the state-of-the-art choice models. It is inspired by the simplifications done by the travelers, using representations of th ...

Elsevier Sci Ltd2016

Simulation based population synthesis

Michel Bierlaire, Ricardo Daniel Hurtubia González, Gunnar Flötteröd, Bilal Farooq

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 ...

Pergamon-Elsevier Science Ltd2013

Metropolis-Hastings sampling of paths

Michel Bierlaire, Gunnar Flötteröd

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 he ...

2013

Non-unique flows in macroscopic first-order intersection models

Gunnar Flötteröd

2012

Behavioral calibration and analysis of a large-scale travel microsimulation

Gunnar Flötteröd, Yu Chen

This article reports on the calibration and analysis of a fully disaggregate (agent-based) transport simulation for the metropolitan area of Zurich. The agent-based simulation goes beyond traditional transport models in that it equilibrates not only route ...

Springer US2012

Dynamic network loading: a differentiable model that derives link state distributions

Michel Bierlaire, Carolina Osorio Pizano, Gunnar Flötteröd

2011

Bayesian demand calibration for dynamic traffic simulations

Michel Bierlaire, Gunnar Flötteröd

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 tha ...

2011

Operational macroscopic modeling of complex urban intersections

Gunnar Flötteröd

This article describes a new approach to the macroscopic first order modeling and simulation of traffic flow in complex urban road intersections. The framework is theoretically sound, operational, and comprises a large body of models presented so far in th ...

2011

Metropolis-Hastings sampling of paths

Michel Bierlaire, Gunnar Flötteröd

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 he ...

2011

Metropolis-Hastings sampling of paths

Michel Bierlaire, Gunnar Flötteröd

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 he ...

2011

A model of risk-sensitive route-choice behaviour and the potential benefit of route guidance

Gunnar Flötteröd

In this paper, we present a simulation-based investigation of the potential benefit of route-guidance information in the context of risk-sensitive travelers. We set up a simple two-route scenario where travelers are repeatedly faced with risky route-choice ...

IEEE Institute of Electrical and Electronics Engineers2011

An analysis of the implicit choice set generation using the Constrained Multinomial Logit model

Michel Bierlaire, Ricardo Daniel Hurtubia González, Gunnar Flötteröd

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 contex ...

National Academy of Sciences2010

Evacuation Simulation with Limited Capacity Sinks - An Evolutionary Approach to Solve the Shelter Allocation and Capacity Assignment Problem in a Multi-agent Evacuation Simulation

Gunnar Flötteröd

We heuristically solve an evacuation problem with limited capacity shelters. An evolutionary learning algorithm is developed for the combined route- and shelter-assignment problem. It is complemented with a heuristic method for the fair minimization of she ...

Science and Technology Publications, Lda2010