Proportional Spacing Tracking Control for Connected Vehicle Platoons Under Semantic Deception Attacks

Connected vehicle platoons rely on intervehicle information to regulate longitudinal spacing and attenuate downstream disturbance propagation. This dependence also exposes the platoon to semantic deception attacks that falsify communicated gap and relative speed information while preserving kinematic consistency. This paper investigates proportional spacing tracking and velocity string stability for a predecessor-following platoon of third-order vehicles with first-order actuator dynamics under such attacks. A vehicle-dependent proportional spacing policy is developed in which the proportional factor acts exclusively on the desired spacing without scaling the leader state. The semantic falsifications are mapped through the distributed controller into an equivalent attack-induced input while their kinematic coupling is retained in the closed-loop model. Internal stability is characterized using the Routh–Hurwitz criterion, and verifiable sufficient conditions for nominal velocity string stability are derived through frequency-domain analysis. A weighted transfer-gain inequality is further established to characterize the propagation of finite-energy semantic deception. By applying Parseval’s relation, the frequency-domain bound is converted into an explicit L2 energy recursion relating link-wise attack energy to downstream velocity-deviation energy. The resulting conditions clarify how the time headway, proportional spacing factor, actuator time constant, and feedback gains jointly affect the velocity string-stability margin.

Authors

Institutions

Publication Details

Journal
World Electric Vehicle Journal
Published
2026-11-06
DOI
https://doi.org/10.3390/wevj17110584
Primary Topic
Traffic control and management
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Proportional Spacing Tracking Control for Connected Vehicle Platoons Under Semantic Deception Attacks

Jie Zhang, Xinyu Wang, Zhaoyang Cuan, Junping Wang et al.
3 links
World Electric Vehicle Journal
Traffic control and management
article

Proportional Spacing Tracking Control for Connected Vehicle Platoons Under Semantic Deception Attacks

Jie Zhang, Xinyu Wang, Zhaoyang Cuan, Junping Wang, Yujia Shen
article en

Abstract

Connected vehicle platoons rely on intervehicle information to regulate longitudinal spacing and attenuate downstream disturbance propagation. This dependence also exposes the platoon to semantic deception attacks that falsify communicated gap and relative speed information while preserving kinematic consistency. This paper investigates proportional spacing tracking and velocity string stability for a predecessor-following platoon of third-order vehicles with first-order actuator dynamics under such attacks. A vehicle-dependent proportional spacing policy is developed in which the proportional factor acts exclusively on the desired spacing without scaling the leader state. The semantic falsifications are mapped through the distributed controller into an equivalent attack-induced input while their kinematic coupling is retained in the closed-loop model. Internal stability is characterized using the Routh–Hurwitz criterion, and verifiable sufficient conditions for nominal velocity string stability are derived through frequency-domain analysis. A weighted transfer-gain inequality is further established to characterize the propagation of finite-energy semantic deception. By applying Parseval’s relation, the frequency-domain bound is converted into an explicit L2 energy recursion relating link-wise attack energy to downstream velocity-deviation energy. The resulting conditions clarify how the time headway, proportional spacing factor, actuator time constant, and feedback gains jointly affect the velocity string-stability margin.

World Electric Vehicle JournalVol. 17(11)
Yanshan University (CN), Taiyuan University of Science and Technology (CN), University of Science and Technology Beijing (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 22%
Traffic control and management
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.

Laika access coming soon