Osäkerhetsmedveten och säkerhetsförbättrad hantering av CAV för säkrare blandad trafik
Forskningsprojekt, 2024
– 2025
Safety of connected and autonomous vehicles (CAVs) within mixed traffic environments, characterized by a coexistence of CAVs and human-driven vehicles (HDVs), necessitates a comprehensive approach that takes into account the multifaceted uncertainties inherent in real traffic scenarios and driving environments. This project mainly aims to achieve the following two objectives to enhance safe operation of CAVs in real-world complex traffic environment:
1, Uncertainty perception and quantification in mixed traffic scenarios to identify and quantify risk. This objective aims to develop advanced perception and quantification models that can predict and quantify the uncertainties that may result in safety issues of CAVs.
2, Safety-enhanced and uncertainty-aware operational control of CAVs in mixed traffic environments. This objective aims to develop adaptive and robust operation control methodologies for CAVs in mixed traffic, including cooperative decision-making and real-time adjustments of control based on perceived/predicted uncertainties to enhance the safe operation.
Deltagare
Kun Gao (kontakt)
Chalmers, Arkitektur och samhällsbyggnadsteknik, Geologi och geoteknik
Shaohua Cui
Chalmers, Arkitektur och samhällsbyggnadsteknik, Geologi och geoteknik
Samarbetspartners
Alkit Communications AB
Mölndal, Sweden
Finansiering
VINNOVA
Finansierar Chalmers deltagande under 2024–2025
VINNOVA
Projekt-id: 2024-00810
Finansierar Chalmers deltagande under 2024–2025
Relaterade styrkeområden och infrastruktur
Informations- och kommunikationsteknik
Styrkeområden
Hållbar utveckling
Drivkrafter
Transport
Styrkeområden