SUrrogate measures for SAFE autonomous and connected mobility

Project Information

SUperSAFE

Grant agreement ID: 101039222

DOI

10.3030/101039222

EC signature date 9 February 2022

Start date 1 January 2023

End date 31 December 2027

Funded under

• European Research Council (ERC)

Total cost

€ 1 500 000,00

EU contribution

€ 1 500 000,00

Coordinated by

LUNDS UNIVERSITET
Sweden

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Documents, reports (1)

Data Management Plan

Data management plan for open research data

Publications

Conference proceedings (1)

A Simulator Study on the Driver Failure and Traffic Conflict in Lane Change Situation on 2+1 Road

Author(s): Sara Hong, Carl Johnsson, Carmelo D'Agostino, Ji Hyun Yang
Published in: Adjunct Proceedings of the 16th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 2024
Publisher: ACM
DOI: 10.1145/3641308.3685026

Peer reviewed articles (3)

Stochastic method based on copulas for predicting severe road traffic interactions

Author(s): Zhankun Chen, Oksana Yastremska-Kravchenko, Aliaksei Laureshyn, Carl Johnsson, Carmelo D’Agostino
Published in: Analytic Methods in Accident Research, Issue 44, 2024, ISSN 2213-6657
Publisher: Elsevier BV
DOI: 10.1016/j.amar.2024.100347

Comparison of E-Scooter and Bike Users Behavior in Mixed Traffic

Author(s): Natalia Distefano, Salvatore Leonardi, Mariusz Kie, Carmelo DAgostino
Published in: Transportation Research Record: Journal of the Transportation Research Board, 2024, ISSN 0361-1981
Publisher: SAGE Publications
DOI: 10.1177/03611981241263339

Distributions conditioned on extrapolated events via copula and extreme value theory

Author(s): Zhankun Chen, Carl Johnsson, Carmelo D'Agostino
Published in: MethodsX, Issue 13, 2024, ISSN 2215-0161
Publisher: Elsevier BV
DOI: 10.1016/j.mex.2024.103017