Transport for London (TfL)
February 2019 – April 2020
The aim of the project was to rebase the existing operations model for London and convert it to an Aimsun Next, ultra-large-scale macro-meso hybrid model.
TfL’s existing Operational Network Evaluation (ONE) Model was calibrated and validated to 2014/5 data, but TfL had since undertaken numerous local-area calibration exercises to upgrade sections of the model on a scheme-by-scheme basis. Given the incredible scale and pace of change on London’s road network in recent years, TfL needed to update not only the Base model but also its entire modelling approach, hence the decision to move from a static model to a large-scale dynamic model.
London, UK – the dynamic model covers the whole of Greater London out to the M25 perimeter with macroscopic extents covering the whole of UK.
Aimsun developed, calibrated and validated the London model in Aimsun Next modelling software to a 2018 base year, with updates including 1,500 annual signal timing reviews, inclusion of all the current Cycleways, the Low Emission Zone, all new bus schedules and most importantly, demand data from MOTION.
The dynamic model would be able to analyse existing and future tolls such as Dartford/Silvertown, and even explore the possibility of including personal hire vehicles.
The model would also be able to withstand realism testing and provide a realistic response to traffic-related interventions across all motorised modes including cars, taxis, LGVs, HGVs, and buses.
The project consolidated existing models into an integrated, multi-level platform for modelling the city’s transport.
The intention was that integrating modelling levels and introducing a new dynamic layer of simulation at a city-wide level would will allow TfL to take a more efficient, coordinated approach to scheme evaluation, road works and traffic management.