Skip to main content

PTV Group supports UK CAV project

German transportation modelling specialist PTV Group is working with UK consultants Atkins on a project commissioned by the UK Department for Transport which looks to simulate the potential impacts connected and autonomous vehicles (CAVs) may have on traffic flow and capacity of the UK road network. The project uses PTV’s Vissim 8 software which enables users to create a virtual testing environment and simulate all modes of transport, illustrating their motion characteristics and mutual interaction. User
April 11, 2016 Read time: 2 mins
German transportation modelling specialist 3264 PTV Group is working with UK consultants 1677 Atkins on a project commissioned by the UK 1837 Department for Transport which looks to simulate the potential impacts connected and autonomous vehicles (CAVs) may have on traffic flow and capacity of the UK road network.

The project uses PTV’s Vissim 8 software which enables users to create a virtual testing environment and simulate all modes of transport, illustrating their motion characteristics and mutual interaction. Users can then not only examine the driving behaviour of autonomous vehicles but also their impact on traffic flow.

Atkins project manager Dr Dave Williams commented: “There are lots of uncertainties around the future of connected and autonomous vehicles. Whilst we are starting to understand what the capabilities might be, our aim for this project is to contemplate a range of different possible futures for CAVs. For example, whilst it is often assumed that CAVs will be able to travel at shorter headways, we are considering scenarios where CAVs are more cautious than the existing vehicle fleet, and looking at the implications for road capacity.

Our testing in PTV Vissim 8 involves modifying the car-following and lane-changing models to look at a range of different behaviours. Through the COM API we have con-figured CAVs to change their behaviour type according to the situation – this is an important aspect of evaluating the potential impacts of connectivity.”

The project is due to report in mid 2016.

Related Content

  • May 29, 2014
    The role of GIS in climate change resiliency
    Climate change will pose global and local challenges and that includes risks to the transportation infrastructure. Climate change adaptation and resiliency has captured the attention of the transportation community for some time now. Because transportation infrastructure is often designed to last for 30, 50, or 100 years or even longer, transportation professionals are concerned not only about the impact on our existing investments, but also how to design more durable transportation systems for the future
  • April 22, 2024
    PTV helps drive Essen’s Como project
    Digital traffic control centre will aggregate all relevant traffic data in German city
  • November 23, 2018
    Cubic: predictive analytics is putting fortune tellers out of business
    The rise of machine learning and artificial intelligence means that fortune tellers will soon be out of business. Ed Chavis takes a behind the scenes look at the world of predictive analytics ver since organisations started taking advantage of insights derived from Big Data, data scientists concentrated their efforts on the ability to make correct assumptions about the future. A few years later, with the help of automation, developments in machine learning (ML) and advancements in the application of a
  • October 29, 2014
    ITF Corporate Partnership Board projects highlight ways forward
    The findings of the first four projects launched by the ITF Corporate Partnership Board (CPB), the organisation's platform for engaging with the private sector, have been announced. CPB projects are designed to enrich policy discussion with a business perspective. They are launched in areas where CPB member companies identify an emerging issue in transport policy or an innovation challenge to the transport system. Led by ITF, work is carried out in collaborative fashion in working groups consisting of CP