Körstilar av autonoma fordon i blandad trafik
Forskningsprojekt , 2019 – 2021

It has been argued that autonomous vehicles could have negative impacts on safety and efficiency in a mixed traffic system with both autonomous and human-driven vehicles (e.g., due to adoption of longer time headway and longer gaps before changing lane for autonomous vehicles). These problems in the widespread introduction of autonomous vehicles could be reduced by adjusting the driving styles employed by autonomous vehicles over time depending on the context. In this project we will develop novel method to enable us simulate different scenarios of mixed traffic systematically, assess the risks of collisions or conflicts in those scenarios, and investigate when and how driving styles of autonomous vehicles should be changed.

Deltagare

Selpi Selpi (kontakt)

Forskare vid Chalmers, Mekanik och maritima vetenskaper, Fordonssäkerhet

Eleonora Andreotti

Doktor vid Chalmers, Mekanik och maritima vetenskaper, Fordonssäkerhet

Pinar Boyraz Baykas

Docent vid Chalmers, Mekanik och maritima vetenskaper, Fordonssäkerhet

Finansiering

Chalmers

Finansierar Chalmers deltagande under 2019–2021

Relaterade styrkeområden och infrastruktur

Transport

Styrkeområden

Publikationer

Mer information

Senast uppdaterat

2019-08-19