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City Mobility
Simulator

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

LATEST NEWS:
CityMoS 6 is out!

What is CityMoS

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

With CityMoS, planners and operators can see how changes in the transport system might impact 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 allows for the re-creation and analysis of areas  ranging from individual roads and neighbourhoods to entire  cities, providing valuable  insights for urban planning and development. CityMoS is best suited for analysis and planning, not for live  monitoring.

CityMoS is an agent-based, microscopic simulator, meaning vehicles are simulated as individual entities. What sets CityMoS apart from other solutions is its high performance, unlocking applications and use cases previously not suited for high-detail simulation.

CityMoS can simulate millions of vehicles and drivers over multiple days, enabling the analysis of entire cities or highway networks, running on consumer hardware without the need for an expensive computing infrastructure.

ACCURACY

SCALABILITY

PERFORMANCE

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
Jessie Yip
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
Ion Turcanu
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
Prof Alberto Sangiovanni Vincentelli
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
Emma Nagel
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
Prof Cai Wentong
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
Er Pang Chung Khiang
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
Prof. Dr.-Ing. Christoph Sommer
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
Dr Götz Brasche

What can CityMoS do

CityMoS is able to simulate different forms of
transport- private, commercial & public.

MOBILITY SIMULATION

  • Private vehicles (cars, motorbikes),
    taxis, private hire cars, buses,
    trains, commercial traffic​
  • Behavioral models (driving behavior,
    route choices, decision making)​
  • Detailed electric and internal combustion engine models

PUBLIC TRANSPORT

  • Bus stops, termini, depots, railway,
    underground, etc​.​
  • Individual passengers with origins and destinations, choosing their combination of transport modes​, including walking and transfer times

FLEET SIMULATION​

  • Support of multi-shift taxi simulation​
  • Private hire vehicles​
  • Taxi passenger demand​
  • Commercial fleets (e.g. delivery fleets, carriers)​

3D VISUALISATION

  • Overlay of statistics, heatmaps, road colouring, vehicle information​
  • Features a touchscreen demo version and a full version​
  • Colour templates for corporate identity for easy integration

APPLICATION AREAS

Where can CityMoS be Applied

Holistic Transport System
Evaluation & Exploration

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

Greener Transport Systems

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

Commercial Fleet Analysis

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

Intelligent Transport Systems

CityMoS employs cutting-edge technology to study Car-to-X Communication, Advanced Driver Assistance Syetems, Autonomous Transport and Modern Traffic Control Centres.

MEDIA COVERAGE

What does The Media Say About CityMoS

OUR COLLABORATORS

CityMoS Project Partners

APPLICATION AREAS

Holistic Transport System Evaluation & Exploration

Analysing Private, Public, and Commercial Transport

  • Extracting metrics that may not be accessible in the real world such as travel times, waiting times, change of transport mode, energy consumption, etc.
  • Studying the effect of alterations to the road network such as adding or removing roads, changing speed limits, varying traffic light programs, etc.
  • Simulating extreme events such as accidents, road blockages, and increased traffic caused by special events

Detailed Public Transport Simulation

  • Testing the effect of different schedules, headways, or vehicle capacities
  • Studying the impact of new bus lines, railway lines, or completely new
    modes of transport
  • Analysing and mitigating effects such as bus bunching or unmet
    passenger demand

APPLICATION AREAS

Greener Transport Systems

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.

Environmental Aspects

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.

Holistic Analysis

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.

APPLICATION AREAS

Commercial Fleet Analysis

Operation Optimisation

Logistics & Traffic Management

 

  • Evaluating different vehicle-to-task assignment strategies
  • Examining different fleet compositions
  • Inspecting rebalancing strategies, effects of demand prediction, etc.
  • Analysing refuelling/charging strategies

Charging & Energy Management

  • Charging strategy for commercial vehicles
  • Studying the potential benefit of decentralized energy storage (e.g. second-life batteries)
  • Feeding in of depot-based renewable energy (e.g. PV panels)
  • Analysis of specialised task assignment with the consideration of range limitations and charging requirements
  • Smart charging and vehicle-to-grid communication

Fleet Performance

Evaluation of holistic operation metrics

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

APPLICATION AREAS

Intelligent Transport Systems


Car-to-X
Communication

 


Car-to-X
Communication
  • Fine-grained analysis of wireless communication
  • Can include building data for more realistic low-level communication simulation
  • Evaluate cooperative transport policies such as dynamic bus lanes or virtual traffic lights


Advanced Driver
Assistance Systems

 


Advanced Driver
Assistance Systems
  • Design tailored small- scale scenarios to learn how communication can avoid accidents
  • Efficiently explore the large parameter spaces of these systems to understand their performance


Autonomous
Transport

 


Autonomous
Transport
  • Study mixed-traffic scenarios in which human drivers interact with autonomous vehicles
  • Examine the benefits of platoons and identify optimal parameters and bottlenecks


Modern Traffic
Control Centres

 


Modern Traffic
Control Centres
  • Connect CityMoS with real and even live data
  • Use CityMoS to predict traffic situations, short- term and mid-term
  • Study the efficiency, effectiveness, and data requirements of traffic control strategies