Towards an integrated multi-agent urban transport model of passenger and freight

Transport policy defines ever more challenging goals to reduce the negative impacts of freight transport and to make freight transport more efficient. To achieve these goals, there are a number of policy measures that are tailored to specific actors to alter their behaviour by changing their transport context. To analyse such measure in advance, we propose a multi agent transport simulation of passenger and freight. We specify the objectives of the agents and analyse whether our model is sensitive to a typical policy measure, i.e. a distance dependent toll for heavy vehicles within a low emission zone. Additionally, we study the computational costs of our model. Based on a sandbox scenario, we illustrate that our model is able to capture the behavioural adaptations and interdependencies of passenger and freight traffic, and that we are able to take into account that policy measures for a specific subset can affect the entire transport system.