Skip to main content

PTV drives into simulation of automotive development

PTV Vissim Automotive designed to create responsive digital vehicle testing environment
By Adam Hill July 18, 2024 Read time: 2 mins
PTV Vissim Automotive reflects human behaviour in road traffic (image: PTV Group)

PTV Group has unveiled a new edition of its traffic simulation software aimed at the automotive sector.

PTV Vissim Automotive is designed to create a responsive digital testing environment for all vehicle types, allowing test drives for concepts which are not ready for the roads, for example.

"In today's automotive landscape, simulation is an indispensable tool for developing safe, efficient and future-proof vehicles," said Christian U. Haas, CEO of PTV Group, part of Umovity. "PTV Vissim Automotive is specifically designed to address the industry's evolving needs, from optimising alternative powertrain performance to rigorously testing the safety of automated driving functionalities."

For automotive OEMs, vehicle simulation has become a key part of the product development process.

"Simulations allow for a variety and volume of tests that would be virtually impossible in the real world," PTV says in a statement. "They reduce time and costs, enhance vehicle safety and minimise environmental impact."

PTV Vissim has been used in the past to integrate realistic traffic scenarios into the virtual test environment, such as optimising the range of electric vehicles or validating automated driving functions such as the Highway Assistant.

The new software provides a closed-loop test environment with realistic, reactive and behaviour-model-based surrounding traffic, with scenarios based on interactions between road users (cars, cyclists, pedestrians, public transport, etc.) and the traffic network.

This means an infinite number of variants can be simulated, including urban rush hour - with frequent acceleration and braking - or the ways in which highway drivers negotiate on- and off-ramps, for example.

A new traffic generation wizard can transform an empty network into an environment with heavy traffic and complex route decisions, with adjustments for different driving styles.

"In aggressive traffic scenarios, for example, there are closer cut-in manoeuvres, posing a challenge for the vehicle under test and its automated driving functions," the company explains.

Vissim Automotive reflects human behaviour in road traffic, "with a newly-developed behaviour model for automated vehicles with specific behaviours for longitudinal and lateral guidance". 

The product can interface with industry solutions such as IPG CarMaker, dSpace ASM, Hexagon Virtual Test Drive or MathWorks Simulink, enabling comprehensive co-simulations. The software supports OpenDrive network imports up to the latest version 1.8.

For more information on companies in this article

Related Content

  • TRW showcases driver assist systems
    June 5, 2014
    TRW Automotive demonstrated its driver assist systems (DAS) and outlined expected trends in sensor technologies during the company's recent bi-annual Ride and Drive event at the Hockenheimring in Germany. According to Andrew Whydell, TRW Electronics’ director of product planning, DAS has and will continue to be a focal point for the automotive industry as governments and industry bodies strive to reduce road fatalities worldwide. For example, the European New Car Assessment Program (EuroNCAP) and the Ins
  • Artificial Intelligence applications for commercial vehicle operations
    December 28, 2021
    The combination of machine learning, deep neural networks and computer vision provides opportunities to address in new ways an increasing range of functions that are a part of commercial vehicle operations. Here, IRD’s Rish Malhotra details how.
  • PTV wins Rome traffic contract
    March 17, 2021
    PTV Optima chosen by Roma Servizi per la Mobilità for traffic monitoring and management
  • Managing road hazards is key to £90,000 competition
    March 22, 2024
    England's National Highways has chosen nine companies to receive innovation funding