CityMoS, the City Mobility Simulator, is a high-performance, multi-core, agent-based, microscopic mobility simulator capable of simulating city-scale transport systems at high resolution, including private, public, and commercial transport. CityMoS has been and can be used to support the transition to electric vehicles, the design of novel intelligent transport system solutions, the introduction of new modes of public transport, or the mitigation of traffic emissions such as carbon dioxide or heat. Contrary to existing traffic simulators, CityMoS focuses not only on traffic patterns but on the mobility of individuals, that is, trip chains, activities, and mode choices.
Analysing Private, Public, and Commercial Transport
Detailed Public Transport Simulation
Transport System Electrification
CityMoS can analyse spatiotemporal energy consumption and charging demand. CityMoS supports the planning of charging infrastructure, resources, and incentive policies. It can also help strategize the electrification of the public transport system by identifying the bus lines which can be electrified and the impact of taxi/private hire car fleet electrification.
CityMoS can also be used to accurately study mobility-related environmental parameters on a city-scale such as fuel consumption, emissions of pollutants (e.g. CO or NO ), and heat caused by traffic. Additionally, CityMoS also serves as a simulation tool to study the impact of alternative fuels such as hydrogen to support more sustainable transport.
CityMoS can be integrated with other models to study the effects of, e.g, weather or complex human behaviour. It can be coupled with other software such as power systems simulators. This enables CityMoS to examine if the underlying electric grid can support the demand caused by electric vehicles, and in turn support charging infrastructure planning.
Logistics & Traffic Management
Charging & Energy Management
Evaluation of holistic operation metrics