Computational Model Library

Bicycle model

Dana Kaziyeva Gudrun Wallentin Martin Loidl | Published Thu Jan 10 21:30:34 2019 | Last modified Tue Jan 15 09:39:40 2019

The purpose of the model is to generate disaggregated traffic flow distribution of cyclists at the regional scale level. The model is based on derived assumptions from mobility survey. It results in emergent traffic flow patterns at a high spatial and temporal level of detail.

Urban Dynamics

Hideyuki Nagai | Published Mon Nov 11 04:52:04 2019

This is an urban dynamics ABM of abstraction of a city and residents’ activities there.

It allows you to evaluate the effects of urban policies, such as an introduction of an open facility for residents with pedestrian-friendly accommodations, promotion of bicycle use, and control of private automobile use in an urban central area, in controlling urban sprawl.

Bicycle encounter model

Gudrun Wallentin | Published Sat Oct 29 20:45:47 2016 | Last modified Fri Mar 29 19:38:22 2019

This Bicycle encounter model builds on the Salzburg Bicycle model (Wallentin & Loidl, 2015). It simulates cyclist flows and encounters, which are locations of potential accidents between cyclists.

Salzburg Bicycle model

Gudrun Wallentin | Published Sat Oct 29 19:38:25 2016

An ABM to simulate the spatio-temporal distribution of cyclists across the road network of the city of Salzburg.

TransportVarese

Elena Maggi Elena Vallino | Published Tue Jan 31 16:04:05 2017 | Last modified Fri Aug 4 15:48:28 2017

This ABM deals with commuting choices in the Italian city of Varese. Empirical data inform agents’ attitudes and modal choices costs and emissions. We evaluate ex ante the impact of policies for less polluting commuting choices.

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