Hosted by: CFMS
Venue: CFMS @ BBSP
Format: Seminar (2 hours)
Underpinning smart city transformation is the effective use of technology, the core of addressing
the challenge of achieving a competitive but sustainable urban environment. Analysing data from smart sectors such as energy, transport, waste, health and social care, etc. will seek to enhance performance and effectiveness, achieving a truly smart city.
In assessing both contribution and impact, the Centre for Modelling & Simulation (CFMS) will in conjunction with its partners, develop a digital model of the city of Bristol which will illustrate the use of traffic and pedestrian routes, which can potentially be used to identify impact and efficiency for a smart city.
The topic will also seek to encourage organisations to consider the benefits applying modelling and systems engineering to a city scale simulation. Scenario’s such as city planning, development and impact on existing infrastructure, new traffic schemes such as metrobus, etc.
What will be presented:
Utilising the following partners; FLAME software developed by Paul Richmond, Research
Fellow, Sheffield University, High Performance Computing (HPC) at the University of Bristol,
managed by Simon McIntosh Smith, Head of Microelectronics, the High Performance Network
(HPN) and the Bristol Is Open network managed by Dimitra Simeonidou, Chief Architect, and
Nathan High Performance Computing (HPC) at CFMS, managed by Nathan Harper, IT Systems
Lead, a 2D digital model (which will be rendered) will be developed that will show the movement
of traffic and pedestrians throughout the city of Bristol. Effectively creating a digital twin of the
city, this will simulate and model emergent behaviour, typically used for scenario and
contingency planning and can provide benefits for traffic related topics such as congestion,
accidents, etc, and the ability to respond or mitigate incidents.
How the project will be delivered:
FLAME (Flexible Large Scale Modelling Environment) developed by Sheffield University, is a
generic agent-based modelling system which can be used to develop applications in many
areas. It generates a complete agent-based application which can be compiled and built on the
majority of computing systems ranging from laptops to HPC supercomputers. At a basic level,
the software consists of a map, consisting of regions that avatars travel around, enacting simple
sets of instructions through conditions and rules set up. Due to advancements in computing
technologies, what makes this project possible is massively parallel computing, and is one of
the reasons FLAME is implemented on Graphical Processing Units (GPU’s), which provides
accelerated computing power. The software will be installed on the University of Bristol’s High
Performance Network, and will also point to the Bristol Is Open network and CFMS HPC. The
project is reliant upon obtaining a digital map of the city of Bristol.
A further extension of the project, which is currently not within scope, could involve developing a
holographic mock-up which could be visually shown at Bristol’s 3D Planetarium. This could
provide a platform for local organisations to convey messaging around the impact of traffic, and
awareness of environmental issues.
- Create a digital twin of the city focused on traffic and pedestrian usage
- Simulate and model emergent behaviour, illustrating the benefits for scenario and contingency planning applicable to the city
What will delegates learn:
- How to assess impact and identify efficiencies supporting the vision of a smart city
- The benefits of applying modelling and systems engineering to a city scale simulation
Who the event is targeted towards:
The event is applicable to organisations that:
- Are interested in finding out more about the benefits of modelling for product development, research and development, etc.
- Utilise high performance computing infrastructures, data centres to a large number of interconnected systems and are interested in understanding system efficiency
● Organisations that are interested in determining impact and potential contribution to realise the vision of the smart city.