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

  • June 15, 2017
    Modelling MaaS and making it happen
    Colin Sowman looks at some of the emerging technology being introduced to evaluate and operate Mobility as a Service. The fast-growing interest in Mobility-as-a-Service (MaaS) has prompted the creation of a host of software systems for those wanting to become a MaaS provider or participate in MaaS offerings. Most recently, at ITS International’s MaaS Market conference, Portuguese company Brisa Innovation announced a name change to A-to-Be to reflect its increasing involvement in the MaaS sector with the lau
  • April 10, 2014
    Imperatives to shape extended mobility ecosystems of tomorrow
    New survey shows cities ill prepared to meet the increasing demand for urban mobility. Most of the world’s cities are ill-equipped to cope with the predicted increase in demands on urban travel – that is the stark finding of the second ‘Future of Urban Mobility’ study carried out by global management consultancy Arthur D. Little. Compiled in association with the International Association of Public Transport (UITP), the survey examines and rates urban mobility in 84 cities worldwide against an extended set o
  • August 25, 2015
    New junction on London’s Cycle Superhighway offers safety measures for cyclists
    Britain’s first junction designed to avoid cyclists being hit by left-turning traffic is unveiled today, the beginning of a new wave of such junctions on London’s busiest main roads. Cyclists and turning motor traffic will move in separate phases, with left-turning vehicles held back to allow cyclists to move without risk, and cyclists held when vehicles are turning left. There will also be a new ‘two-stage right turn’ to let cyclists make right turns in safety. For straight-ahead traffic, early-release
  • April 1, 2015
    MIT study combines traffic data for smarter signal timings
    Researchers at Massachusetts Institute of Technology (MIT) have found a method of combining vehicle-level data with less precise, but more comprehensive, city-level data on traffic patterns to produce better information than current systems provide. They claim this reduce delays, improve efficiency, and reduce emissions. The new findings are reported in a pair of papers by assistant professor of civil and environmental engineering Carolina Osorio and alumna Kanchana Nanduri, published in the journals Tra