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

Jason J. Jung; Luong Vuong Nguyen; Laihyuk Park; Tri Hai Nguyen

doi:10.1007/978-3-031-29104-3_32

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

Jason J. Jung
, Luong Vuong Nguyen
, Laihyuk Park
, Tri Hai Nguyen

Dept. of Computer Science and Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

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.

Original language	English
Title of host publication	Intelligent Distributed Computing XV
Editors	Lars Braubach, Kai Jander, Costin Bădică
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	297-306
Number of pages	10
ISBN (Print)	9783031291036
DOIs	https://doi.org/10.1007/978-3-031-29104-3_32
State	Published - 2023
Event	15th International Symposium on Intelligent Distributed Computing, IDC 2022 - Bremen, Germany Duration: 14 Sep 2022 → 16 Sep 2022

Publication series

Name	Studies in Computational Intelligence
Volume	1089 SCI
ISSN (Print)	1860-949X
ISSN (Electronic)	1860-9503

Conference

Conference	15th International Symposium on Intelligent Distributed Computing, IDC 2022
Country/Territory	Germany
City	Bremen
Period	14/09/22 → 16/09/22

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 11 Sustainable Cities and Communities

Access to Document

10.1007/978-3-031-29104-3_32

Cite this

Jung, J. J., Nguyen, L. V., Park, L., & Nguyen, T. H. (2023). Cooperative Negotiation-Based Traffic Control for Connected Vehicles at Signal-Free Intersection. In L. Braubach, K. Jander, & C. Bădică (Eds.), Intelligent Distributed Computing XV (pp. 297-306). (Studies in Computational Intelligence; Vol. 1089 SCI). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-29104-3_32

@inproceedings{e79d6fcd21944fb3a05a1f653ec17674,

title = "Cooperative Negotiation-Based Traffic Control for Connected Vehicles at Signal-Free Intersection",

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.",

author = "Jung, \{Jason J.\} and Nguyen, \{Luong Vuong\} and Laihyuk Park and Nguyen, \{Tri Hai\}",

note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 15th International Symposium on Intelligent Distributed Computing, IDC 2022 ; Conference date: 14-09-2022 Through 16-09-2022",

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series = "Studies in Computational Intelligence",

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Jung, JJ, Nguyen, LV, Park, L & Nguyen, TH 2023, Cooperative Negotiation-Based Traffic Control for Connected Vehicles at Signal-Free Intersection. in L Braubach, K Jander & C Bădică (eds), Intelligent Distributed Computing XV. Studies in Computational Intelligence, vol. 1089 SCI, Springer Science and Business Media Deutschland GmbH, pp. 297-306, 15th International Symposium on Intelligent Distributed Computing, IDC 2022, Bremen, Germany, 14/09/22. https://doi.org/10.1007/978-3-031-29104-3_32

Cooperative Negotiation-Based Traffic Control for Connected Vehicles at Signal-Free Intersection. / Jung, Jason J.; Nguyen, Luong Vuong; Park, Laihyuk et al.
Intelligent Distributed Computing XV. ed. / Lars Braubach; Kai Jander; Costin Bădică. Springer Science and Business Media Deutschland GmbH, 2023. p. 297-306 (Studies in Computational Intelligence; Vol. 1089 SCI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - 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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