Taktiskt beslutsfattande i dynamiska, osäkra trafiksituationer
Forskningsprojekt , 2020 – 2021

A human driver constantly makes decisions while driving. Such decisions concern, for example, how to merge into traffic from a highway ramp, whether and how to overtake a slower vehicle, how to negotiate a crossing, or how to select the appropriate speed in a residential area. The decision process is very complex, and involves potentially conflicting demands when balancing safety against efficiency.
There are always uncertainties in traffic situations. Sensors are noisy and do not capture the complete traffic situation (for example, due to occlusions, limited sensor range, limited updating frequency etc.). Moreover, the intent and future actions of other vehicles will not be
known, especially if those vehicles are manually driven. In order to generate a fully autonomous vehicle, one must develop a
decision-making system capable of handling all such uncertainties, while balancing safety versus efficiency in an optimal way. How to do
this is still an open research question.

This project will address traffic decision-making from the perspective of machine learning. The project will focus on a time horizon of 1 to 10s. Thus, it will neither involve more long-term route planning nor actuator coordination (to achieve different movements) which is carried out on a faster time scale.

Deltagare

Krister Wolff (kontakt)

Docent vid Chalmers, Mekanik och maritima vetenskaper, Fordonsteknik och autonoma system

Carl-Johan E Hoel

Doktorand vid Chalmers, Mekanik och maritima vetenskaper, Fordonsteknik och autonoma system

Leo Laine

Adjungerad professor vid Chalmers, Mekanik och maritima vetenskaper

Mattias Wahde

Professor vid Chalmers, Mekanik och maritima vetenskaper, Fordonsteknik och autonoma system

Samarbetspartners

Volvo Group

Gothenburg, Sweden

Finansiering

Knut och Alice Wallenbergs Stiftelse

Finansierar Chalmers deltagande under 2020–2021

Relaterade styrkeområden och infrastruktur

Informations- och kommunikationsteknik

Styrkeområden

Hållbar utveckling

Drivkrafter

Transport

Styrkeområden

Innovation och entreprenörskap

Drivkrafter

Mer information

Senast uppdaterat

2020-05-27