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.

For more information on companies in this article

Related Content

  • Aimsun & Yunex deliver digital twin for Tees Valley
    March 8, 2024
    Real-time data from Yunex's Stratos and UTC-UX systems is integrated with Aimsun Live
  • EVs: Time for a rethink
    December 14, 2021
    Given a growing body of evidence that EVs are not the clean, green machines they are made out to be, Andrew Bunn suggests they can only be part of the puzzle – not the answer to environmental problems
  • Voting for change - the democratisation of transportation
    December 8, 2014
    Contra Costa is using an innovative planning method to gather suggestions and craft future transportation spending plans. Public opinion in matters relating to transport rarely exceeds complaints about congestion on the roads, crowded metros, slow buses with ‘exorbitant’ fares or perhaps enforcement cameras.
  • Real time active traffic management improves travel times
    July 17, 2012
    Traffic management centres (TMC) have traditionally served to provide surveillance and responses to traffic incidents and recurring and non-recurring changes in road networks. Typically, a TMC collected field data from the roadway and transit infrastructure and provided the integration necessary for operators to see what was happening and then coordinate a response. Standard operating procedures (SOPs) guided operators on how to respond to a given situation. It eventually became impractical for TMC operat