The Southern Swedish hospital region is the home of nearly 2 million people, in which 5,684 individuals were diagnosed by stroke during 2016, according to statistics from the hospitals in the region. With this large number of stroke-diagnosed patients across the region, an effective stroke transport policy is inevitably important to provide fast treatment for these patients. In this thesis, we developed an agent-based simulation model for evaluating the performance of transport logistics policies. We followed the Design Science Research methodology in order to design and develop the model. Using the model, we assessed two transport logistics policies for the Southern Swedish hospital region. We used a synthetic set of stroke patients, which we generated using Monte carlo simulation, for the processes of developing the model and assessing our two stroke transport logistics policies. We argue that the assessment of transport logistics policies is important for the ability to improve the planning process, for example, when choosing hospital for diagnosis of patients showing stroke symptoms. The optimization of the stroke logistics process aims to ensure the quality and operational efficiency of the hospital sector as well as to increase the chance of survival of stroke patients.