Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Cooperative Automated Maneuvering at the 2016 Grand Cooperative Driving Challenge
Netherlands Organisation for Applied Scientific Research TNO, The Netherland.
Netherlands Organisation for Applied Scientific Research TNO, The Netherland.
Eindhoven University of Technology,The Netherlands.
Netherlands Organisation for Applied Scientific Research TNO, The Netherland.
Show others and affiliations
2018 (English)In: IEEE transactions on intelligent transportation systems (Print), ISSN 1524-9050, E-ISSN 1558-0016, Vol. 19, no 4, p. 1213-1226Article in journal (Refereed) Published
Abstract [en]

Cooperative adaptive cruise control and platooning are well- known applications in the field of cooperative automated driving. However, extension toward maneuvering is desired to accommodate common highway maneuvers, such as merging, and to enable urban applications. To this end, a layered control architecture is adopted. In this architecture, the tactical layer hosts the interaction protocols, describing the wireless information exchange to initiate the vehicle maneuvers, supported by a novel wireless message set, whereas the operational layer involves the vehicle controllers to realize the desired maneuvers. This hierarchical approach was the basis for the Grand Cooperative Driving Challenge (GCDC), which was held in May 2016 in The Netherlands. The GCDC provided the opportunity for participating teams to cooperatively execute a highway lane-reduction scenario and an urban intersection-crossing scenario. The GCDC was set up as a competition and, hence, also involving assessment of the teams' individual performance in a cooperative setting. As a result, the hierarchical architecture proved to be a viable approach, whereas the GCDC appeared to be an effective instrument to advance the field of cooperative automated driving.

Place, publisher, year, edition, pages
2018. Vol. 19, no 4, p. 1213-1226
Keywords [en]
Merging, Road transportation, Protocols, Wireless communication, Automation, Trajectory, Safety, adaptive control, cooperative communication, mobile robots, motion control, multi-robot systems, protocols, road safety, road traffic control, road vehicles, traffic engineering computing, vehicular ad hoc networks, velocity control, Cooperative driving, interaction protocol, controller design, vehicle platoons, wireless communications
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:ri:diva-33814DOI: 10.1109/TITS.2017.2765669OAI: oai:DiVA.org:ri-33814DiVA, id: diva2:1203929
Available from: 2018-05-04 Created: 2018-05-04 Last updated: 2018-05-07Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full texthttp://www.derwentinnovation.com/tip-innovation/

Authority records BETA

Englund, Cristofer

Search in DiVA

By author/editor
Englund, Cristofer
By organisation
Acreo
In the same journal
IEEE transactions on intelligent transportation systems (Print)
Natural Sciences

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 1 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
v. 2.34.0