Skip to main content

Aimsun helps TfL retain detail in traffic modelling

Transport for London (TfL) has selected Transport Simulation Systems’ Aimsun modelling software following a lengthy evaluation. With London’s population predicted to reach 10million by 2030, the authority needed to increase its modelled area by a factor of 10 to more than 2,300km2 along with improved cyclist, pedestrian and air quality predictions. For a market assessment it divided its modelling requirements into three categories: tactical - for city wide policy evaluation, micro-simulation for modelli
September 25, 2015 Read time: 2 mins
1466 Transport for London (TfL) has selected 2195 Transport Simulation Systems’ Aimsun modelling software following a lengthy evaluation. With London’s population predicted to reach 10million by 2030, the authority needed to increase its modelled area by a factor of 10 to more than 2,300km2 along with improved cyclist, pedestrian and air quality predictions.

For a market assessment it divided its modelling requirements into three categories: tactical - for city wide policy evaluation, micro-simulation for modelling London’s 23 main traffic corridors, and optimisation of the junction/network with some 6,300 signalised junctions.  3D visualisation was also specified.

It evaluated three systems in each category by providing potential suppliers with data regarding a particular area and setting out up to 70 outcome requirements for each level. Interconnection between the proposed systems in the various layers was also evaluated.

TfL’s lead modelling specialist Vladimir Vorotovic said 70% of the score weighting related to the technical capability and service provision with the remainder being financial considerations.

Beyond predicting travel times, the new systems had to accommodate an expected tripling in the number of cyclists, enhanced emissions modelling (including 3D evaluation of building/canyons) and linking the outputs to the other layers. The aim of the cross linking is to retain the individual vehicle movements detail used in junction modelling at the corridor level (using Aimsun hybrid simulation) along with 3D visualisation - and to inform the tactical model.

According to Vorotovic, once implemented the system will enable changes made at individual junctions to be evaluated on a corridor level or even across the entire modelled area. It will also allow the effects of policy changes to be modelled at street level on individual junctions.

Related Content

  • January 26, 2016
    London invests in bus priority schemes to help keep bus passengers moving
    With London’s roads seeing an increase in congestion due to a construction boom and a significant growth in population, Transport for London is investing heavily in helping keep the roads moving through a range of means. Part of this programme is designed to help buses get through congested areas quicker and more reliably. A US$284 million investment in new bus priority schemes in the capital includes changes to road layouts and junctions and enabling small changes to routes so that buses can avoid traff
  • June 14, 2016
    Aimsun online modelling tool for Interstate 15
    The TSS (Transport Simulation Systems) team is using ITS America 2016 San Jose to showcase the latest developments to the Sandag (San Diego Association of Governments) integrated corridor management system on Interstate 15 in San Diego. Fresh from picking up yet another award last month (the California Transportation Foundation award for Operational Efficiency Program), this pioneering ICM project centres around a decision support system for which TSS provides the Aimsun Online modelling tool. Thanks in
  • February 2, 2012
    Transport and traffic management for major sporting events
    Maurizio Tomassini, Isis, and Monica Giannini, Pluservice, detail the STADIUM project, which is intended to provide those responsible for planning major international events with a blueprint for success
  • May 10, 2023
    Scaling up road safety analysis with Aimsun cloud simulation
    Synthetic generation, execution, and analysis of thousands of road safety scenarios is exponentially more efficient and wider ranging than any methodology based on field data. Marcel Sala & Jordi Casas of Aimsun examine the benefits of cloud simulation for safety testing