Paper Contents
Abstract
Connected and automated vehicles (CAVs) can improve transportation safety and efficiency based on vehicle-to-vehicle(V2V) or vehicle-to-infrastructure (V2I) communications. However, there are potential cyber threats to thecommunication systems via on-board unit equipped in CAVs and road-side unit. Based on existing traffic flow models,we design an evaluation framework for cyber-attacks on CAVs, and furtherinvestigate the impact of proportion ofcyber-attacked vehicles, cyber-attack severity, cyber-attack range and traffic demand. Moreover, performance of thetransportation system is analyzed based on four indicators, including efficiency, safety, emissions and fuel consumption.The numerical simulation results show that with the increase of cyber-attacked vehicles and higher cyber-attack severity,the negative impact on traffic flow gradually becomes notable with lower capacity, higher risk of rear-end collision, moreair pollutants and fuel consumption. In addition,it may lead to accidents and inefficient traffic operations if cyber-attacksoccur on position rather than speed, andthus the position-attacked traffic system consumes more energy and emits morepollutants. The findings of this study provide useful information for the prediction of future cyber-attacked traffic,comprehensive evaluation of transportation systems, as well as management of automated highway systems from theperspective of network security.Keywords: Cyber-attack, Cooperative adaptive cruise control, Connected and automated vehicles, Safety level.
Copyright
Copyright © 2023 V.N.S. Manaswini. This is an open access article distributed under the Creative Commons Attribution License.
