MARS Urban simulation
Contact: Thomas Clemen
The MARS Urban simulation project aims to model and simulate the traffic flow of bigger cities. This is done with an multimodal approach, meaning different types of traffic participants which interact and influence each other.
The model strives to demonstrate the large scale capabilities of the MARS framework and relies on Open Data sources like OpenStreetMap. The Project is in an early stage and the first goal is to model the traffic system of Hamburg.
Spread of pathogens in public transport
Contact: Carsten Noetzel
Type: Master Thesis
Title: Agent-based simulation of the transmission of pathogens in public transport based on socio- demographic aspects
The aim of this work is to study the role of public transport in the transmission of pathogens. For this purpose a simulation model is developed which re ects Hamburg’s public transport network as well as its population. The means of transport are used by individuals to pursue activities, whereat transmission of infection can occur in means of transport as well as locations. The developed model is used to simulate the spread of the H1N1 in uenza pandemic. Simulation results are compared both with real data and results of other scienti c studies.
Household Energy Resource Model
Poor rural households in developing countries are faced with many challenges in food security, water quality, and energy.
Access to energy comes in various forms depending on the natural resources available. In Honduras, almost 43% of the national energy comes from firewood given their access to the seemingly abundant supply of forest resources. Understanding the energy consumption behavior of rural households can help to enrich the discussion of energy services management. The use of agent based modelling (ABM) for energy resource-use dynamics allows scientists and engineers to study emergent behavior.
MARS LIFE allows the HER-DSS household agent to interact with energy sources as well as other complex variables that influence energy consumption. The expected results will help the researchers understand the drivers of energy efficiency which will help design renewable energy technologies that will be appropriated by rural households.
Technology appropriation is the ability for households to adopt and adapt technologies to their lives, work, and practices. With-in their means, remote areas of Honduras can become conscious stewards and responsibly enjoy their abundant resource.
Nowadays, many semi-arid ecosystems are affected by at least two different kinds of disturbances: land use change) and climate change. Based on this, it can be hypothesized that even very resilient ecosystems may not return to their initial state after disturbance, but will rather adapt to a new steady-state. We name this phenomenon “Adaptive Resilience of Ecosystems” and use it as base for the research concept of ARS AfricaE. This project wants to go beyond older approaches that only describe structural changes in savannas and their drivers. It employs functional aspects, such as the investigation of biogeochemical cycles, but also targets a deeper understanding of the functional consequences of ecosystem changes caused by multiple disturbances, and defines “degradation” as a sustained loss in the broad set of ecosystem services, i.e. a decrease in natural capital.
To achieve this goal, the project will
- create a network of research clusters (with natural and altered vegetation) along an aridity gradient in the Greater Karoo, Kruger National Park in South Africa, and Kataba Forest Reserve in Zambia
- link biogeochemical functions with ecosystem structure, diversity of species and eco-physiological properties
- describe ecosystem disturbance (and recovery) in terms of ecosystem function such as carbon balance components and water use efficiency
- build an individual-based model to predict ecosystem dynamics under (post) disturbance managements
- combine this model with long-term landscape dynamic information derived from remote sensing and aerial photography
- develop sustainable management strategies for disturbed ecosystems and land use change
Movement Ecology & Predator-Prey Interaction
Contact: Thomas Clemen
The simulation of individual behaviour and movement of animals is an important step in conservation management. The complexity of ecological systems demands large-scale scenarios. Emergent properties are often visible when the number of interacting individuals is high. However, large-scale scenarios require high-performance execution of Multi-Agent Simulations (MAS). This is when MARS comes into play.
- Cheetah hunting
- Elephants & waterholes
- Coalition hunting
Contact: Torben Woggan
Type: Master Thesis
Title: Creation and evaluation of a concept for the objective validation of movement models in multi-agent simulations
This paper deals with the creation and evaluation of a concept for the validation of movement models in multi-agent simulations, which enables an objective and automatable validation. For this purpose values have to be extracted from experiments conducted with the simulation systems to be compared with real data. Another part of the validation is the examination of the agent behaviour and the comparison of this behaviour with the expected behaviour.
Additionally, the concept is used for several movement models with different model approaches. This allows the evaluation of the informative value of the validation concept as well as conclusions about characteristics a movement model should have to produce valid results. The design and functionality of a model, which was created as part of this paper, will be discussed in detail.