City Mobility Simulator

A high-performance digital twin solution for city-scale transport systems

City-scale digital twins

What Is CityMoS

CityMoS, the City Mobility Simulator, is software designed to create and study virtual copies, or digital twins, of existing and planned transport systems. This includes roads and vehicles, public transport and traffic lights.

Planners and operators can see how changes in the transport system might affect traffic flow, emissions or overall efficiency. For instance, they can analyse the effects of switching to electric buses or redesigning intersections on reducing carbon emissions.

CityMoS recreates and analyses areas ranging from individual roads and neighbourhoods to entire cities, providing insights for urban planning and development. It is best suited for analysis and planning, not live monitoring.

As an agent-based, microscopic simulator, CityMoS models vehicles as individual entities. Its high performance unlocks applications and use cases previously unsuited to high-detail simulation.

CityMoS simulates millions of vehicles and drivers over multiple days, enabling analysis of entire cities or highway networks on consumer hardware without expensive computing infrastructure.

AccuracyScalabilityPerformance
CityMoS accuracy, scalability and performance

Collaborator feedback

Hear From Our Collaborators

“We engaged intobyte’s services for a project involving autonomous electric buses. Using CityMoS, we successfully evaluated key operational parameters for our proposed deployment and simulated a first-in-nation approach of using AV platooning. The team demonstrated a high level of professionalism and delivered compelling results within tight deadlines.”

Jessie YipBusiness Manager, Autonomous a2z

“We were highly impressed by the professionalism and expertise of the intobyte team throughout the BISTWIN project. They provided the CityMos framework with excellent support and ensured timely delivery of a robust digital twin solution. Their flexibility in integrating additional features tailored to our project needs was particularly valuable. intobyte’s team includes top experts in micro-mobility simulation, and their contributions made a real difference to the success of our work.”

Ion TurcanuGroup Lead, Luxembourg Institute of Technology

“The multi-year research collaboration between the CityMoS team and myself has been one of the most rewarding experiences during my stay in Singapore and beyond. Our work has been focused on modeling drivers’ behaviors in a mixed autonomous-human driving scenario and has extended the capabilities of CityMoS for the development and testing of autonomous driving algorithms and the study of traffic congestion effects. Looking forward to many more years of collaboration!”

Prof Alberto Sangiovanni VincentelliProfessor of EECS, University of California, Berkeley

“CityMoS helped us to optimize the operational KPIs of autonomous electric vehicle fleets in public transport systems. Its capabilities are unique in the market, offering a wide variety of functionality from microscopic to macroscopic transport planning tasks. It is easy to use and facilitates insightful conclusion through comprehensive reporting.”

Emma NagelZF Friedrichshafen AG CAE Engineer

“It was a great experience working with the energetic CityMoS team to develop high-performance solutions and witnessing its development over the years. I'm so happy to see that the CityMoS now has become a full-fledged mobility simulator with an array of features and has been used in developing so many applications.”

Prof Cai WentongNanyang Technological University, Singapore

“This collaboration between the research teams and relevant government agencies allows for integration of the best from two research institutes to address national level challenges.”

Er Pang Chung KhiangGroup Chief Systems Officer of S&TPPO, Prime Minister’s Office

“City-scale microscopic mobility simulation as enabled by CityMoS opens the pathway for a range of interesting applications such as studying large-scale effects of car-to-everything communication or supporting the transition to electric vehicles by providing fine-grained spatiotemporal insights on individual charging behaviour.”

Prof. Dr.-Ing. Christoph SommerNetworked Systems Modeling group, TU Dresden

“The cooperation with the leading experts of TUMCREATE is an important milestone on the way to future smart mobility and transportation solutions. The joint lab is a reference example for close academic-industry cooperation and effective transfer of research results driven by academic flagship institutions to industry.”

Dr Götz BrascheHuawei CTO Cloud BU Europe, Co-Director of MoVES Lab

Simulation capabilities

What Can CityMoS Do

CityMoS simulates private, commercial and public transport in one high-performance environment.

CityMoS simulation capabilities

Mobility Simulation

Private vehicles, taxis, buses, trains and commercial traffic with detailed behavioural, electric and combustion-engine models.

Public Transport

Stops, termini, depots and rail systems with individual passengers, multimodal journeys, walking and transfer times.

Fleet Simulation

Multi-shift taxis, private-hire vehicles, passenger demand and commercial delivery or carrier fleets.

3D Visualisation

Statistics, heatmaps, road colouring and vehicle information with touchscreen and full visualisation modes.

Application areas

Holistic Transport System Evaluation & Exploration

CityMoS analyses different aspects of the transport system with a wide range of metrics, including travel times, waiting times, passenger demand and accident occurrences.

Analysing Private, Public, and Commercial Transport

  • Extract metrics that may not be accessible in the real world, such as travel times, waiting times, changes of transport mode and energy consumption.
  • Study alterations to road networks, including adding or removing roads, changing speed limits and varying traffic light programmes.
  • Simulate extreme events such as accidents, road blockages and increased traffic caused by special events.

Detailed Public Transport Simulation

  • Test different schedules, headways and vehicle capacities.
  • Study new bus lines, railway lines and completely new modes of transport.
  • Analyse and mitigate bus bunching and unmet passenger demand.

Application areas

Greener Transport Systems

CityMoS provides insights into the electrification of vehicles and monitors environmental parameters such as pollutant emissions at city scale.

Transport System Electrification

CityMoS can analyse spatiotemporal energy consumption and charging demand. It supports the planning of charging infrastructure, resources and incentive policies, identifies bus lines that can be electrified, and studies the impact of taxi and private-hire fleet electrification.

Environmental Aspects

Study mobility-related fuel consumption, pollutant emissions and heat caused by traffic at city scale. CityMoS also supports analysis of alternative fuels such as hydrogen for more sustainable transport.

Holistic Analysis

Integrate CityMoS with models of weather or complex human behaviour, or couple it with power-system simulators. Examine whether the electric grid can support demand from electric vehicles and use the results to plan charging infrastructure.

Application areas

Commercial Fleet Analysis

CityMoS helps businesses optimise their operations by evaluating traffic management, energy management and fleet performance.

Logistics & Traffic Management

  • Evaluate different vehicle-to-task assignment strategies.
  • Examine different fleet compositions.
  • Inspect rebalancing strategies and the effects of demand prediction.
  • Analyse refuelling and charging strategies.

Charging & Energy Management

  • Plan charging strategies for commercial vehicles.
  • Study decentralised energy storage, including second-life batteries.
  • Feed in depot-based renewable energy, such as solar panels.
  • Analyse task assignments with range limitations and charging requirements.
  • Study smart charging and vehicle-to-grid communication.

Fleet Performance

Evaluate holistic operational metrics.

  • Cost of fuel and energy.
  • Task completion times and delays.
  • Environmental aspects.

Application areas

Intelligent Transport Systems

CityMoS employs technology to study Car-to-X communication, advanced driver assistance, autonomous transport and modern traffic control centres.

Car-to-X Communication

  • Analyse wireless communication in fine detail.
  • Include building data for more realistic low-level communication simulation.
  • Evaluate cooperative transport policies such as dynamic bus lanes and virtual traffic lights.

Advanced Driver Assistance Systems

  • Design small-scale scenarios to learn how communication can avoid accidents.
  • Explore large parameter spaces to understand system performance.

Autonomous Transport

  • Study mixed traffic in which human drivers interact with autonomous vehicles.
  • Examine platoon benefits and identify optimal parameters and bottlenecks.

Modern Traffic Control Centres

  • Connect CityMoS with real and live data.
  • Predict short-term and medium-term traffic situations.
  • Study the efficiency, effectiveness and data requirements of traffic control strategies.

Media coverage

What Does The Media Say About CityMoS

Sep 2022CiLoCharging

Digital twin for CiLoCharging

An optimised, flexible and demand-oriented solution integrating charging, logistics, energy and mobility management for electric vehicles in logistics depots.

Read more →

Our collaborators

CityMoS Project Partners

CityMoS project partners