A Platoon-Based Adaptive Signal Control Method with Connected Vehicle Technology
Joint Authors
Sun, Jian
Li, Ning
Chen, Shukai
Zhu, Jianjun
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-06-01
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
One important objective of urban traffic signal control is to reduce individual delay and improve safety for travelers in both private car and public bus transit.
To achieve signal control optimization from the perspective of all users, this paper proposes a platoon-based adaptive signal control (PASC) strategy to provide multimodal signal control based on the online connected vehicle (CV) information.
By introducing unified phase precedence constraints, PASC strategy is not restricted by fixed cycle length and offsets.
A mixed-integer linear programming (MILP) model is proposed to optimize signal timings in a real-time manner, with platoon arrival and discharge dynamics at stop line modeled as constraints.
Based on the individual passenger occupancy, the objective function aims at minimizing total personal delay for both buses and automobiles.
With the communication between signals, PASC achieves to provide implicit coordination for the signalized arterials.
Simulation results by VISSIM microsimulation indicate that PASC model successfully reduces around 40% bus passenger delay and 10% automobile delay, respectively, compared with signal timings optimized by SYNCHRO.
Results from sensitivity analysis demonstrate that the model performance is not sensitive to the number fluctuation of bus passengers, and the requested CV penetration rate range is around 20% for the implementation.
American Psychological Association (APA)
Li, Ning& Chen, Shukai& Zhu, Jianjun& Sun, Jian. 2020. A Platoon-Based Adaptive Signal Control Method with Connected Vehicle Technology. Computational Intelligence and Neuroscience،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1138727
Modern Language Association (MLA)
Li, Ning…[et al.]. A Platoon-Based Adaptive Signal Control Method with Connected Vehicle Technology. Computational Intelligence and Neuroscience No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1138727
American Medical Association (AMA)
Li, Ning& Chen, Shukai& Zhu, Jianjun& Sun, Jian. A Platoon-Based Adaptive Signal Control Method with Connected Vehicle Technology. Computational Intelligence and Neuroscience. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1138727
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1138727