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.
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Acknowledgment
This research was supported by the MSIT (Ministry of Science and ICT), Korea, under the National Program for Excellence in SW (20170001000061001) supervised by the IITP (Institute of Information & communications Technology Planning & Evaluation) in 2022.
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Jung, J.J., Nguyen, L.V., Park, L., Nguyen, TH. (2023). Cooperative Negotiation-Based Traffic Control for Connected Vehicles at Signal-Free Intersection. In: Braubach, L., Jander, K., Bădică, C. (eds) Intelligent Distributed Computing XV. IDC 2022. Studies in Computational Intelligence, vol 1089. Springer, Cham. https://doi.org/10.1007/978-3-031-29104-3_32
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DOI: https://doi.org/10.1007/978-3-031-29104-3_32
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