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Utskrift från Malmö universitets webbplats www.mah.se

Disputation: A Dynamic Approach to Multi Agent Based Simulation in Urban Transportation Planning

Tid: 2018-06-14 13:00 -- 2018-06-14 15:00
Plats: Hörsal B2, Niagara, Nordenskiöldsgatan 1, Malmö universitet
Målgrupp: Alla intresserade

Banafsheh Hajinasab will be defending her PhD thesis: A Dynamic Approach to Multi Agent Based Simulation in Urban Transportation Planning (link to thesis page in MUEP)

Opponent is Professor Kay Axhausen, ETH Zürich

Abstract:

Computational models are often used for analysing the effects of transport policies and infrastructure investments. However, a review of previous studies shows that agentbased models have not been used much in spite of their great potential for simulating dynamic aspects of travel behavior. Some reasons for this are that existing models require large amounts of input data and that their scope is limited to particular scenarios. To address this, we propose a general-purpose agent-based simulation model for urban transportation that supports the simulation of a wide range of policy instruments and infrastructure investments. The proposed model is designed in a way that a large part of the input data can be generated automatically using online web-services. In the proposed model, every traveler is modelled individually and the socio-demographic attributes and characteristics of each traveller is considered, e.g. age, income, having access to car and bike. Furthermore, factors that influence the choice of travel are taken into account, e.g. travel time, cost, convenience and environmental characteristics such as weather. In order to validate the model, an empirical study based on actual travel data regarding commuting in Southern Sweden using our proposed general-purpose model together with on-line travel planners in agent-based simulation for predicting the effect of different policy instruments on travel behavior. The results from the calibration showed that our model predicts 72% of the real travel decisions correctly. We have investigated the effect of public transport fee, tax of using private car, and a new train track in different simulation scenarios. The results of the various scenarios and combination of them seem to be acceptable. Finally, we found out that the use of on-line services for data collection increases the speed and flexibility of the system for defining and running new scenarios. However, the scalability of using online services in simulation is constrained by limitations of online service providers.

The main contributions of this thesis are a general-purpose agent-based simulation model for urban transportation and a novel approach to automatically generate input data to the simulation using on-line travel planners and other web-services. This novel approach mitigates the challenge of agent-based simulation as a data-intensive method. This can lead to more widespread use for agent-based simulation in modeling complex and realistic transportation scenarios. Another contribution of this thesis concerns the visualization of simulation output. One of the main challenges of transport planners and decision makers when using simulation models is to understand the complex output of the simulation. We demonstrate how the usability of a freight transport simulation system is improved by adding a visualization module that illustrates the results of the simulation for the end-users.

Senast uppdaterad av Daniel Harju