Assessing the Impact of Cyber Attacks on Traffic Flow with Mixed Autonomous and Human-Driven Vehicles

Christian Wellens-Miles; Simon Parkinson; Mauro Vallati

doi:10.1109/IV66570.2026.11623970

Assessing the Impact of Cyber Attacks on Traffic Flow with Mixed Autonomous and Human-Driven Vehicles

Christian Wellens-Miles, Simon Parkinson, Mauro Vallati

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

With the advancement of vehicular technology, autonomous vehicles (AVs) are going to share roads with human-driven vehicles (HDVs), introducing increased connectivity and new substantial attack surfaces, making the transport system vulnerable to exploitation. Through extensive simulations using the Berlin scenario in Eclipse MOSAIC, in this paper, we investigate the effects a range of cyber attacks, such as communication attacks like sybil and spoofing on vehicle to infrastructure (V2I) and vehicle to vehicle (V2V), and other attacks such as vehicle sabotage and road side unit (RSU) attacks, to effect the traffic flow using mean values from multiple simulations for analysis. Our investigation demonstrates that certain cyber attacks have a paramount effect on the flow of traffic, with the potential to result in complete road blockages during peak hours traffic.

Original language	English
Title of host publication	2026 IEEE Intelligent Vehicles Symposium (IV)
Publisher	IEEE
Pages	1040-1047
Number of pages	8
ISBN (Electronic)	9798331547936
ISBN (Print)	9798331547943
DOIs	https://doi.org/10.1109/IV66570.2026.11623970
Publication status	Published - 30 Jul 2026
Event	IEEE Intelligent Vehicles Symposium (IV) - Plymouth, United States Duration: 22 Jun 2026 → 25 Jun 2026 https://ieee-iv.org/2026/

Publication series

Name	IEEE Intelligent Vehicles Symposium
Publisher	IEEE
ISSN (Print)	1931-0587
ISSN (Electronic)	2642-7214

Conference

Conference	IEEE Intelligent Vehicles Symposium (IV)
Abbreviated title	IEEE IV 2026
Country/Territory	United States
City	Plymouth
Period	22/06/26 → 25/06/26
Internet address	https://ieee-iv.org/2026/

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 11 Sustainable Cities and Communities

Access to Document

10.1109/IV66570.2026.11623970Licence: Unspecified

Cite this

@inproceedings{8d2130a78d8547c2a590a61f23120055,

title = "Assessing the Impact of Cyber Attacks on Traffic Flow with Mixed Autonomous and Human-Driven Vehicles",

abstract = "With the advancement of vehicular technology, autonomous vehicles (AVs) are going to share roads with human-driven vehicles (HDVs), introducing increased connectivity and new substantial attack surfaces, making the transport system vulnerable to exploitation. Through extensive simulations using the Berlin scenario in Eclipse MOSAIC, in this paper, we investigate the effects a range of cyber attacks, such as communication attacks like sybil and spoofing on vehicle to infrastructure (V2I) and vehicle to vehicle (V2V), and other attacks such as vehicle sabotage and road side unit (RSU) attacks, to effect the traffic flow using mean values from multiple simulations for analysis. Our investigation demonstrates that certain cyber attacks have a paramount effect on the flow of traffic, with the potential to result in complete road blockages during peak hours traffic.",

keywords = "Cyber Attacks, Traffic Flow, Human-Driven Vehicles",

author = "Christian Wellens-Miles and Simon Parkinson and Mauro Vallati",

year = "2026",

month = jul,

day = "30",

doi = "10.1109/IV66570.2026.11623970",

language = "English",

isbn = "9798331547943",

series = "IEEE Intelligent Vehicles Symposium ",

publisher = "IEEE",

pages = "1040--1047",

booktitle = "2026 IEEE Intelligent Vehicles Symposium (IV)",

address = "United States",

note = "IEEE Intelligent Vehicles Symposium (IV), IEEE IV 2026 ; Conference date: 22-06-2026 Through 25-06-2026",

url = "https://ieee-iv.org/2026/",

}

Wellens-Miles, C, Parkinson, S & Vallati, M 2026, Assessing the Impact of Cyber Attacks on Traffic Flow with Mixed Autonomous and Human-Driven Vehicles. in 2026 IEEE Intelligent Vehicles Symposium (IV) ., 11623970, IEEE Intelligent Vehicles Symposium , IEEE, pp. 1040-1047, IEEE Intelligent Vehicles Symposium (IV), Plymouth, Michigan, United States, 22/06/26. https://doi.org/10.1109/IV66570.2026.11623970

Assessing the Impact of Cyber Attacks on Traffic Flow with Mixed Autonomous and Human-Driven Vehicles. / Wellens-Miles, Christian; Parkinson, Simon ; Vallati, Mauro.
2026 IEEE Intelligent Vehicles Symposium (IV) . IEEE, 2026. p. 1040-1047 11623970 (IEEE Intelligent Vehicles Symposium ).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Assessing the Impact of Cyber Attacks on Traffic Flow with Mixed Autonomous and Human-Driven Vehicles

AU - Wellens-Miles, Christian

AU - Parkinson, Simon

AU - Vallati, Mauro

PY - 2026/7/30

Y1 - 2026/7/30

N2 - With the advancement of vehicular technology, autonomous vehicles (AVs) are going to share roads with human-driven vehicles (HDVs), introducing increased connectivity and new substantial attack surfaces, making the transport system vulnerable to exploitation. Through extensive simulations using the Berlin scenario in Eclipse MOSAIC, in this paper, we investigate the effects a range of cyber attacks, such as communication attacks like sybil and spoofing on vehicle to infrastructure (V2I) and vehicle to vehicle (V2V), and other attacks such as vehicle sabotage and road side unit (RSU) attacks, to effect the traffic flow using mean values from multiple simulations for analysis. Our investigation demonstrates that certain cyber attacks have a paramount effect on the flow of traffic, with the potential to result in complete road blockages during peak hours traffic.

AB - With the advancement of vehicular technology, autonomous vehicles (AVs) are going to share roads with human-driven vehicles (HDVs), introducing increased connectivity and new substantial attack surfaces, making the transport system vulnerable to exploitation. Through extensive simulations using the Berlin scenario in Eclipse MOSAIC, in this paper, we investigate the effects a range of cyber attacks, such as communication attacks like sybil and spoofing on vehicle to infrastructure (V2I) and vehicle to vehicle (V2V), and other attacks such as vehicle sabotage and road side unit (RSU) attacks, to effect the traffic flow using mean values from multiple simulations for analysis. Our investigation demonstrates that certain cyber attacks have a paramount effect on the flow of traffic, with the potential to result in complete road blockages during peak hours traffic.

KW - Cyber Attacks

KW - Traffic Flow

KW - Human-Driven Vehicles

UR - https://www.scopus.com/pages/publications/105046889155

U2 - 10.1109/IV66570.2026.11623970

DO - 10.1109/IV66570.2026.11623970

M3 - Conference contribution

SN - 9798331547943

T3 - IEEE Intelligent Vehicles Symposium

SP - 1040

EP - 1047

BT - 2026 IEEE Intelligent Vehicles Symposium (IV)

PB - IEEE

T2 - IEEE Intelligent Vehicles Symposium (IV)

Y2 - 22 June 2026 through 25 June 2026

ER -

Assessing the Impact of Cyber Attacks on Traffic Flow with Mixed Autonomous and Human-Driven Vehicles

Abstract

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AI traffic management system expands into China with granting of new patent

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Assessing the Impact of Cyber Attacks on Traffic Flow with Mixed Autonomous and Human-Driven Vehicles

Abstract

Publication series

Conference

UN SDGs

Access to Document

Other files and links

Fingerprint

Press/Media

AI traffic management system expands into China with granting of new patent

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