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Cooperative Negotiation-Based Traffic Control for Connected Vehicles at Signal-Free Intersection

Authors
Jung, Jason J.Nguyen, Luong VuongPark, LaihyukNguyen, Tri-Hai
Issue Date
2023
Publisher
Springer Science and Business Media Deutschland GmbH
Citation
Studies in Computational Intelligence, v.1089 SCI, pp 297 - 306
Pages
10
Journal Title
Studies in Computational Intelligence
Volume
1089 SCI
Start Page
297
End Page
306
URI
https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/67189
DOI
10.1007/978-3-031-29104-3_32
ISSN
1860-949X
1860-9503
Abstract
As the Internet of Things evolves, connected vehicles create a positive impact on future traffic management systems, particularly at intersections. This study proposes a distributed, cooperative negotiation method for connected vehicles at a signal-free intersection, in which the connected vehicles exchange information with each other and perform cooperative negotiation-based control to pass the intersection without excessive stops. The vehicles optimize their desired travel times through a bilateral negotiation mechanism with safety rule constraints. Via the simulations conducted in the Simulation of Urban Mobility simulator, it shows that the proposed strategy outperforms a fixed-time signalized control, an adaptive signalized control, and a first-come-first-serve policy-based signal-free control method regarding average travel time and average travel speed. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
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소프트웨어대학 (소프트웨어학부)
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