We live in a world where a rapid disruption of mobility industry is taking place. Major companies have accelerated technologically, while some have hit the brakes. Today, autonomous technology of electric-powered vehicles is about to end individual car ownership of gas-powered vehicles that once disrupted horses and cart wheels.
This disruption will reshape the urban mobility landscape and will bring huge benefits economically, socially, and environmentally. While autonomous technology on vehicles is not fully realised yet due to testing limitations, there are companies that managed to circumvent these limitations and using the opportunity to gradually introduce the technology to its end-users. Tech giants such as Google and Tesla are already miles ahead, while major car players such as Volvo and BMW are already offering automated parking and automated braking system.
With that said, is this autonomous technology only useful for things like self-drive and self-park? It is actually a lot more complicated than that. Will they take into account approaching vehicles? What about pedestrians? Can they also detect lane-changing in highways?
Professor Martin Fellendorf of TU Graz was one of many guests attending the meeting of the PTV Scientific Network & Academic Board at the PTV Headquarters where he explained the true potential of using the microsimulation software, PTV Vissim to test automated vehicles, or Connected and Automated Vehicles (CAV). PTV Vissim is able to simulate driving behaviour as it is the core of traffic simulation. By manipulating hidden mathematical models in PTV Vissim, CAV development can be achieved to realise its full potential.
The following presentation will explain further about this hidden feature in PTV Vissim as prepared by Professor Martin Fellendorf.
This post is also available in: German