Date of Award:
Master of Science (MS)
Electrical and Computer Engineering
The development of automated vehicles has come more into the focus of researchers due to progress in areas of potential benefit, such as increasing road safety and fuel efficiency and reducing time road travel by decreasing traffic congestion and, thus, minimizing workload on the driver. For a platoon (which is a method of grouping vehicles that helps increase the capacity of roads by managing the distance between vehicles by using electrical and mechanical coupling) of such vehicles, the inter-vehicular distance is one of the most important facets to be taken into consideration. As in automated highway systems (AHS) (AHS is a technology implementing vehicle platooning), the vehicles’ close spacing is controlled by computers, using inter-vehicular communication, which is the concept of adaptive cruise control (ACC).
Cyber physical systems (CPS) are systems that comprise computational elements to communicate among and control physical entities. A platoon of autonomous vehicles is one such system. Owing to such computer control, the system becomes susceptible to various kinds of cyber physical attacks.
This research entails the survey of a number of vehicle models used in different works pertaining to longitudinal vehicle motion and analysis of a special class of cyber physical attacks called false data injection (FDI) attacks on vehicle platoons moving with longitudinal motion. In this kind of attack, an attacker can exploit the configuration of any cyber physical system to introduce arbitrary errors into certain state variables so as to gain control over the system. So here, an n-vehicle platoon is considered and a linearized vehicle model is used as a testbed to study vehicle dynamics and control after false information is fed into the system.
Biswas, Bidisha, "Analysis of False Data Injection in Vehicle Platooning" (2014). All Graduate Theses and Dissertations. 4038.
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