Transport for London (TfL)
February 2019 – April 2020
Rebase operations model for London and convert to an Aimsun Next, ultralarge-scale macro-meso hybrid model.
TfL’s previous Operational Network Evaluation (ONE) Model was calibrated and validated to 2014/5 data. However, since then, TfL has 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 new ONE model in Aimsun Next to a 2018 base year, with updates including 1,500 annual signal timing reviews, inclusion of all the current Cycleways, the Low Emission Zone, the brand new Ultra Low Emission Zone (introduced in April 2019), all new bus schedules and most importantly, demand data from MOTION.
The new ONE model will also be able to analyse existing and future tolls such as Dartford/Silvertown, and even explore the possibility of including personal hire vehicles.
The model can withstand realism testing and provide a realistic response to traffic-related interventions across all motorised modes including cars, taxis, LGVs, HGVs, and buses. ONE can assess schemes, interventions and short-term disruptions, providing an accurate response to changes in traffic conditions, now and further into the future.
The project has consolidated existing models into an integrated, multi-level platform for modelling the city’s transport. Integrating modelling levels and introducing a new dynamic layer of simulation at a city-wide level will allow TfL to take a more efficient, coordinated approach to scheme evaluation, road works and traffic management.