Computational Modelling Group

The goal of the Computational Modelling Research Department is to push the boundaries of what mobility simulation can do, develop and analyse innovative intelligent transport system solutions, and bring together the real and simulated world to form a symbiotic simulation environment.

Our research revolves around our established simulator CityMoS. It is a high-performance, parallel, microscopic, agent-based traffic simulator which can simulate days of traffic in megacities. Its interactive user interface enables researchers as well as non-domain experts to meaningfully interact with the simulation environment and effortlessly identify regions of interest.

CityMoS provides open interfaces to connect it to other simulators and real-world data. This turns CityMoS into a citybrain — a platform to monitor, predict, and evaluate control strategies for smooth traffic in future smart cities.

Simulation Methodology and Parallel Computing

• Enabling simulators to be able to carry out city-scale experiments
• Developing beyond the state-of-the-art parallelisation and performance-improving techniques
• Efficiently exploring large design and parameter spaces
• Using heterogeneous hardware environments and novel execution schemes

System Development Analysis and Evaluation

• Holistically evaluating smart city applications
• Conducting simulation studies from component all the way to the system level
• Developing novel Intelligent Transport System solutions
• Tackling new challenges such as mixed traffic of autonomous and conventional vehicles

Immersive, Coupled and Symbiotic Simulation

• Creating open interfaces to bidirectionally couple with other simulators
• Incorporating both recorded and live real-world data to increase explanatory power and create a digital twin
• Immersing the human in the simulation to improve, validate and calibrate simulation models

Department Details