Aimsun enters partnership to develop tool for managing mixed-autonomy traffic

Aimsun has partnered with UC Berkeley’s Institute of Transportation Studies to develop Flow, a tool for managing large-scale traffic systems where human-driven and autonomous vehicles (AVs) operate together. Flow offers a suite of pre-built traffic scenarios and is now integrated with Aimsun Next mobility modelling software. The open source architecture knits together microsimulation tools with deep reinforcement learning libraries in the cloud. Launched last September, Flow allows users to build and
January 15, 2019 Read time: 2 mins

16 Aimsun has partnered with UC Berkeley’s Institute of Transportation Studies to develop Flow, a tool for managing large-scale traffic systems where human-driven and autonomous vehicles (AVs) operate together.

Flow offers a suite of pre-built traffic scenarios and is now integrated with Aimsun Next mobility modelling software. The open source architecture knits together microsimulation tools with deep reinforcement learning libraries in the cloud.

Launched last September, Flow allows users to build and combine modular traffic scenarios to tackle complex situations, the company says. For example, single-lane/multi-lane and merge building blocks can be used to study stop-and-go merging traffic behaviours along a highway.  

“In mixed-autonomy traffic control, evaluating machine learning methods is challenging due to the lack of standardised benchmarks,” says Alexandre Bayen, director, 8895 ITS Berkeley. “Systematic evaluation and comparison will not only further our understanding of the strengths of existing algorithms but also reveal their limitations and suggest directions for future research.”

Urban Traffic Control

For more information on companies in this article

Related Content

  • ‘Only 20% of people’ would put their child inside an AV, says Fujitsu
    July 24, 2018
    Only 20% of people would be prepared to put their child inside an autonomous vehicle (AV), according to research from Fujitsu. People are more anxious about adopting digital services in travel than they are in other areas of their lives, according to Russell Goodenough, the company’s managing director of business and transport. Just 40% of people would put their trust in an AV - and the transport sector is falling behind in the race to digitisation, the company says. Speaking at a media forum in Lo
    Read More
  • GPS delivers accurate journey time data for UTC
    January 27, 2012
    A new solution developed as a consequence of the UK's Freeflow project fuses GPS and UTC loop data to give more accurate predictions of journey times, benefting network managers and travellers alike. By Matt Cowley and Gareth Jones, Trakm8 and John Polak and Rajesh Krishnan, Imperial College London
    Read More
  • Traffic management: risky business
    June 15, 2023
    Adding a real-time accident risk layer to the profile of a road network ticks all the crucial boxes: it saves time, fuel, money and, ultimately, lives. Harriet King of Valerann explains the brain power of Lanternn by Valerann’s Core Fusion Engine...
    Read More
  • Lyft, Uber have mixed impact on San Fran mobility
    May 14, 2018
    The extent to which ride-hailing has become a real force in the mobility landscape of San Francisco is great for consumers – but there are downsides, a report finds. Andrew Stone takes a look. Uber and Lyft, the two major ride-hailing platforms in San Francisco, are out-competing local cab firms in many ways - and are firmly established as a significant part of the daily mobility mix there, a recent study reveals. Researchers mined publicly-available data derived from the application programming interface
    Read More

Highlighted Content