Event-Triggered Cruise Control of Connected Automated Vehicle Platoon Subject to Input Limitations

This article proposes event-triggered cruise control in platoons of connected automated vehicles (CAVs) with heterogeneous input limitations. A distributed control protocol is developed to ensure the stability and performance of the platoon, explicitly addressing varying levels of input saturation among vehicles. To further enhance communication efficiency, a centralized event-triggered mechanism is introduced, activating control updates only when necessary, effectively preventing Zeno behaviors through a predefined threshold. The proposed approach not only achieves global asymptotic stability but also significantly reduces communication demands, making it suitable for real-world driving conditions characterized by input constraints. Simulation results validate the effectiveness and robustness of the proposed control strategy, demonstrating its potential for practical implementation in intelligent transportation systems.

Authors

Institutions

Publication Details

Journal
Machines
Published
2024-11-28
DOI
https://doi.org/10.3390/machines12120866
Citations
1
Primary Topic
Traffic control and management
Type
article
Field-Weighted Citation Impact
0.33

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Event-Triggered Cruise Control of Connected Automated Vehicle Platoon Subject to Input Limitations

Jian Gong, Jinhao Liang, Qing Ling, Chaobin Zhou
1 citations
Machines
Traffic control and management
0.33
article

Event-Triggered Cruise Control of Connected Automated Vehicle Platoon Subject to Input Limitations

Jian Gong, Jinhao Liang, Qing Ling, Chaobin Zhou
article en
1 citations

Abstract

This article proposes event-triggered cruise control in platoons of connected automated vehicles (CAVs) with heterogeneous input limitations. A distributed control protocol is developed to ensure the stability and performance of the platoon, explicitly addressing varying levels of input saturation among vehicles. To further enhance communication efficiency, a centralized event-triggered mechanism is introduced, activating control updates only when necessary, effectively preventing Zeno behaviors through a predefined threshold. The proposed approach not only achieves global asymptotic stability but also significantly reduces communication demands, making it suitable for real-world driving conditions characterized by input constraints. Simulation results validate the effectiveness and robustness of the proposed control strategy, demonstrating its potential for practical implementation in intelligent transportation systems.

MachinesVol. 12(12)
National University of Singapore (SG), Lanzhou University of Technology (CN), Nanjing University of Posts and Telecommunications (CN)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 39%
Traffic control and management
0.33
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.