An Extended Intelligent Driver Model to Describe the Impact of Cyberattacks on Connected Vehicles

Connected vehicle technology has received considerable attention in recent years, due to its potential to significantly benefit in improving traffic efficiency, enhancing road safety, and reducing fuel consumption. However, vehicular wireless communication such as vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) is in an open-access environment, which makes connected vehicles vulnerable to cyber threats. In this research, the authors first summarize some typical cyberattacks that can disturb connected vehicles and found that these cyberattacks, in essence, can alter velocity, position, and acceleration of the subject vehicle. For understanding the mechanism of traffic disturbance under cyberattacks, the authors proposed an improved intelligent driver model to describe traffic dynamics of the connected vehicles under cyberattacks, especially when the attack is infectious. To clearly describe the impact of cyberattacks on vehicles, a two-layer system structure is proposed, where the upper layer describes the cyber information propagation and the lower describes the traffic flow dynamics. Finally, using the new dynamical model, extensive simulation cases studies are carried out to describe traffic dynamics with potential cyberattacks for connected vehicle platoons. These simulation results further indicate the proposed model could be applied to help avoid collisions and relieve traffic congestion.

• Record URL:
  https://doi.org/10.1061/9780784482292.258
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784482292
• Supplemental Notes:
  • © 2019 American Society of Civil Engineers.
• Corporate Authors:

  American Society of Civil Engineers

  1801 Alexander Bell Drive
  Reston, VA  United States  20191-4400
• Authors:
  • Wang, Sifeng
  • Gao, Haer
  • Yu, Guizhen
  • Wang, Pengcheng
  • Li, Honggang
• Conference:
  • 19th COTA International Conference of Transportation Professionals
  • Location: Nanjing , China
  • Date: 2019-7-6 to 2019-7-8
• Publication Date: 2019-7

Language

• English

Media Info

• Media Type: Web
• Monograph Title: CICTP 2019: Transportation in China—Connecting the World

Subject/Index Terms

• TRT Terms: Connected vehicles; Cybernetics; Technological innovations; Terrorism; Traffic characteristics; Vehicle dynamics; Vehicle to infrastructure communications; Vehicle to vehicle communications
• Subject Areas: Highways; Security and Emergencies; Vehicles and Equipment;

Filing Info

• Accession Number: 01713702
• Record Type: Publication
• ISBN: 9780784482292
• Files: TRIS, ASCE
• Created Date: Aug 13 2019 9:26AM