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Integration of activity-based and agent-based models
(2014)Arbeitsberichte Verkehrs- und RaumplanungThis paper describes how the initial MATSim model of Tel Aviv has been updated and extended since its first version presented by Bekhor et al. (see 1). Main innovations are the inclusion of road pricing in the scenario and the incorporation of destination choice as an endogenous choice in the model. By conducting several experiments, it is shown that this implementation is able to fully replace the ad-hoc destination choice part of the ...Working Paper -
Distribution of benefits and losses from roadpricing illustrated in a microsimulation scenario
(2014)Arbeitsberichte Verkehrs- und RaumplanungThis report describes the MATSim simulations performed to illustrate distribution of benefits in a road pricing context with trip-dependent varying preferences. The main hypothesis of the project Surprice is illustrated, that the inequality between income groups, induced by road pricing, in some cases might be smaller if intra-personal variation is also considered in the model rather than if only inter-personal variation is included in ...Working Paper -
MATSim agent heterogeneity and a one-week scenario
(2012)Arbeitsberichte Verkehrs- und RaumplanungThis report describes two MATSim extensions: inclusion of individual values of time and money and a week-long simulation period. Speeding-up week-long simulation, mechanisms for warm-starting the simulation combined with an explicit termination criterion are implemented. The extensions are applied in project Surprice to investigate equity effects with time-varying preferences in a road pricing context. First experiments’ results are ...Working Paper -
Coupling customers’ destination choice and retailers’ location choice in MATSim
(2012)Arbeitsberichte Verkehrs- und RaumplanungThe multi-agent transport simulation MATSim (MATSim, 2012) contains modules for cus- tomers’ destination choice (Horni et al., 2012) and retailers’ location choice (Ciari and Axhausen, 2011; Horni and Ciari, 2009, 2011). This paper’s goal is combining these two models into a dynamic and micro-simulated demand-supply model for shopping activities. Both models are methodologically improved by analyzing retailer clustering and its effects ...Working Paper -
Variability in Transport Microsimulations Investigated With the Multi-Agent Transport Simulation MATSim
(2011)Arbeitsberichte Verkehrs- und RaumplanungTransport microsimulations are stochastic. Randomness is, for example, introduced by the error terms of discrete choice models, a common component in utility-based microsimulations. This leads to random variability in results at all resolution levels. This paper’s objectives is an analysis of this variability. As a very common and important aggregate measure in transport planning network link volumes are analyzed, based on MATSim simulation ...Working Paper -
High-resolution destination choice in agent-based demand models
(2011)Arbeitsberichte Verkehrs- und RaumplanungThis paper describes the modeling of destination choices for discretionary activities in a multiagent transport simulation, using MATSim as an example. MATSim is based on utility maximization and its utility function has always been deterministic. Unobserved heterogeneity is now added to the utility function through a random error term, meaning that MATSim is now fully compatible with discrete choice theory. Real-world simulation results ...Working Paper -
Pushing the limits
(2010)Arbeitsberichte Verkehrs- und RaumplanungThis paper describes the concept of a versatile transport simulation framework to be used for the development of integrated transport simulation models. It is designed to improve modularization and thereby simplify the collaboration between scientists and engineers from different fields. Modularization is believed to be important due to the increasing complexity of the implementation task if models from different areas are to be integrated. ...Working Paper -
Large-scale agent-based travel demand optimization applied to Switzerland, including mode choice
(2010)Working paper / Institute for Transport Planning and SystemsWorking Paper