‘Mobility Mapper’ predicts where new transport infrastructure may be needed in cities, as transport provision changes. The tool also simulates ‘what-if’ scenarios for transport planners – how infrastructure like V2X, Connected & Autonomous Vehicles and cargo bikes will interact with each other, and people.
Mobility Mapper harnesses CGAs ‘agent based’ modelling approach, previously used by the team to mathematically model autonomous vehicle tech safety, smart city networks, Liverpool 5G Create’s health and social care network, and even Covid 19 spread. Mobility Mapper is an interoperable tool that can be accessed by people with different technical capabilities.
Agent-based modelling assumes each thing (car, human, bicycle) operates independently, creating randomising scenarios, whilst the 3D simulation creates an immersive visualisation of the predictions.
CGA’s Mobility Mapper concept was made possible through an SBRI call entitled: ‘Using Geospatial Data to Solve Transport Challenges.’ The overall aim of the contest was to ‘identify innovative geospatial solutions to current transport challenges and enable the future of mobility.’