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Based on the reviewed literature, the objective of the article is to investigate the most important cyberattack factors affecting the effectiveness of the connected and autonomous transport system. Accordingly, remotely implemented malicious interventions are in the focus of our study, especially considering cyberattacks on connected and autonomous vehicles. To introduce the expected impact of the analysed cyberattacks, certain cyberattack types are demonstrated in the paper. In the paper, malicious interventions are assumed to attack the transport network contrary to the individual road users, which assumption can strongly increase the risk of a given cyber-incident. To illustrate the effect of the evaluated cyberattacks, the transport system of Budapest is used. According to the results, some of the interventions might not be effective, while some of them can expectedly significantly increase travel time values of the network. 1. A novel theoretical framework has been introduced to describe the effect of the analysed cyberattacks on urban transport system. 2. The new approach makes it possible to evaluate the risk and the impact of the represented cyberattacks targeting the connected and autonomous urban transport system. 3. The novel methodology allows the operator to indicate the weak points of the network from a vulnerability point of view, especially considering remotely controlled malicious interventions.

Modelling the effects of certain cyber-attack methods on urban autonomous transport systems, case study of Budapest