Signal-free Path-free Intersection Control for Connected Vehicles under Automated Driving

Approved

Classifications

MinEdu publication type
A1 Journal article (peer-reviewed)
Definition
Article
Target group
Scientific
Peer reviewed
Peer-reviewed
Article type
Journal article
Host publication type
Journal

Authors of the publication

Number of authors
4
Authors
Ahmadi, Elham; Olama, Alireza; Carlson, Rodrigo Castelan; Camponogara, Eduardo

Publication channel information

Title of journal/series
IEEE transactions on intelligent vehicles
ISSN (print)
2379-8858
ISSN (electronic)
2379-8904
ISSN (linking)
2379-8858
Publisher
IEEE
Publication forum ID
84449
Publication forum level
2
Publication appears in FT-list
No
SNIP-level of the publication
3.49
Country of publication
United States
Internationality
Yes

Detailed publication information

Publication year
2024
Reporting year
2024
Journal/series issue number
Date of Publication: 08 May 2024
Page numbers
1-13
DOI
10.1109/tiv.2024.3398556
Language of publication
English

Co-publication information

International co-publication
Yes
Co-publication with a company
No

Availability

Link to self-archived version

Classification and additional information

MinEdu field of science classification
213 Electronic, automation and communications engineering, electronics, 212 Civil and Construction engineering, 113 Computer and information sciences, 222 Other engineering and technologies, 111 Mathematics, 112 Statistics and probability
Keywords
Aerospace electronics; collision avoidance; Connected vehicles; connected vehicles under automated driving; model predictive contouring control; Numerical models; Predictive models; Space exploration; Space vehicles; Traffic control; Trajectory; urban intersections

Funding information

Funding information in the publication
This work was funded in part by Fundacao de Amparo a Pesquisa e Inovacao do Estado de Santa Catarina (FAPESC) under grant 2021TR2265; by The Brazilian Agency for Higher Education, under PROEX and the project PrInt CAPES-UFSC “Automation 4.0”; and by the National Council for Scientific and Technological Development.

Source database ID

Scopus ID
Scopus:85193024236