PRACA ORYGINALNA
Car Platooning String Stability Analysis for Automatic Longitudinal Control in Automated Highway Systems
Więcej
Ukryj
1
Faculty of Transportation Mechanical Engineering, The University of Danang - University of Science and Technology, 54 Nguyen Luong Bang, Da Nang 550000, Vietnam
2
Faculty of Electrical Engineering, the University of Danang - University of Science and Technology, Viet Nam
3
Faculty of Transportation Mechanical Engineering,, The University of Danang - University of Science and Technology, 54 Nguyen Luong Bang, Da Nang 550000, Vietnam
4
Faculty of Mechanical - Automotive and Civil Engineering, Electric Power University, Viet Nam
Data nadesłania: 13-06-2025
Data ostatniej rewizji: 04-09-2025
Data akceptacji: 08-09-2025
Data publikacji: 29-09-2025
Autor do korespondencji
Lich Duc Luu
Faculty of Transportation Mechanical Engineering, The University of Danang - University of Science and Technology, 54 Nguyen Luong Bang, Da Nang 550000, Vietnam
The Archives of Automotive Engineering – Archiwum Motoryzacji 2025;109(3):62-79
SŁOWA KLUCZOWE
DZIEDZINY
STRESZCZENIE
Forming car platoons and managing them through automation allows cars to travel with shorter gaps, which contributes to increasing road throughput, lowering fuel use, and cutting emissions. However, minimizing inter-vehicle spacing must comply with the principle of string stability. This paper introduces a Linear Quadratic Integral Regulator (LQIR) tailored for the Adaptive Cruise Control strategy within a platoon of cars. The regulator integrates two additional states to guarantee both effective tracking and preservation of string stability. Furthermore, a heuristic procedure is proposed to select the Constant Time Headway Policy (CTHP) as a means of achieving stability. The selection routine combines an examination of the magnitude frequency response with an inspection of the pole–zero distribution of the spacing-error transfer function between successive cars. Using this approach, a comparative investigation is carried out for two autonomous Adaptive Cruise Control architectures: one based on absolute position feedback and another on measured inter-vehicle distance.
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