File Download

There are no files associated with this item.

  • Find it @ UNIST can give you direct access to the published full text of this article. (UNISTARs only)
Related Researcher

AuTsz-Chiu

Au, Tsz-Chiu
Agents & Robotic Transportation Lab.
Read More

Views & Downloads

Detailed Information

Cited time in webofscience Cited time in scopus
Metadata Downloads

Full metadata record

DC Field Value Language
dc.citation.conferencePlace FR -
dc.citation.conferencePlace Paris; France -
dc.citation.endPage 1452 -
dc.citation.startPage 1451 -
dc.citation.title International Conference on Autonomous Agents and Multi-agent Systems -
dc.contributor.author Au, Tsz-Chiu -
dc.contributor.author Zhang, Shun -
dc.contributor.author Stone, Peter -
dc.date.accessioned 2023-12-20T00:07:07Z -
dc.date.available 2023-12-20T00:07:07Z -
dc.date.created 2014-12-03 -
dc.date.issued 2014-05-07 -
dc.description.abstract Autonomous Intersection Management (AIM) is a reservation-based intersection control protocol that leverages the capacities of autonomous vehicles to dramatically reduce traffic delay at intersections. AIM was designed for the time when all, or most, of the vehicles on the road are fully autonomous. However, we anticipate that there will be a long transition period during which many cars are still driven by human drivers and/or most vehicles have some but not all capabilities of fully autonomous vehicles. In order to accommodate this transition, this paper introduces a new multi-agent protocol called Semi-Autonomous Intersection Management (SemiAIM), which allows vehicles with partially-autonomous features such as adaptive cruise control to make reservations in AIM. We propose a method for vehicles with limited autonomy to make reservations to enter an intersection in an AIM-like style and conduct experiments in simulation to evaluate its effectiveness. Our results show that the delay of semi-autonomous vehicles in SemiAIM can be greatly reduced compared to human-driven vehicles. -
dc.identifier.bibliographicCitation International Conference on Autonomous Agents and Multi-agent Systems, pp.1451 - 1452 -
dc.identifier.scopusid 2-s2.0-84911440799 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/18041 -
dc.identifier.url http://dl.acm.org/citation.cfm?id=2617518 -
dc.language 영어 -
dc.publisher International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS) -
dc.title Semi-autonomous intersection management -
dc.type Conference Paper -
dc.date.conferenceDate 2014-05-05 -

qrcode

Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.