Modeling and stability analysis of cyberattack effects on heterogeneous intelligent traffic flow
Rongjun Cheng,
Hao Lyu,
Yaxing Zheng and
Hongxia Ge
Physica A: Statistical Mechanics and its Applications, 2022, vol. 604, issue C
Abstract:
The platooning of connected automated vehicles (CAVs) will have a dramatic impact on the future market. The open-access environment is available to share travel information among CAVs to format vehicular platooning, but makes cooperative vehicle platoons vulnerable to suffer cyberattacks. Cyberattacks are classified as bogus messages, replay/delay, and collusion attacks and affect the transmission of information on CAVs. Besides, heterogeneous traffic composed of different vehicles will be an extremely common form of traffic, including mixed operations of different models such as cars and trucks. Meanwhile, different car-following combinations influence the overall stability of heterogeneous traffic flow dynamics. This paper proposes a novel intelligent driving model considering cyberattacks and heterogeneous vehicles. In addition, this model integrates dynamic communication topology, which is a time-varying function determined by the communication range and the distance between vehicles. Through linear stability analysis, the stability conditions of the model are derived. On the other hand, numerical simulation was performed, and the results validated that under cyberattacks high proportion of cars and the information accepted from cooperative vehicles ahead can efficaciously enhance traffic stability and safety. Inversely, the proportion of car-following pairs and response/delay time will destabilize mixed traffic. From the perspective of platoon operation, the perniciousness of cyberattacks on CAV platoon is demonstrated, which lead to different levels of dangerous traffic behavior: unnecessary delay, congestions and potential collisions. The numerical results verified the feasibility and effectiveness of the model.
Keywords: Connected automated vehicles; Cyberattacks; Heterogeneous vehicles; Car-following combinations; Dynamic communication topology (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (16)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378437122005933
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:604:y:2022:i:c:s0378437122005933
DOI: 10.1016/j.physa.2022.127941
Access Statistics for this article
Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis
More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().