Cooperative Negotiation-Based Traffic Control for Connected Vehicles at Signal-Free Intersection
- Authors
- Jung, Jason J.; Nguyen, Luong Vuong; Park, Laihyuk; Nguyen, 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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Collections - College of Software > School of Computer Science and Engineering > 1. Journal Articles
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