Global ETD Search

1	Highway Capacity and Traffic Behavior under Connected and Automated Traffic Environment Liu, Yan 04 October 2021 (has links) No description available. Transportation Connected and Automated Vehicle Highway capacity Traffic behavior Energy Traffic safety
2	Connected and Automated Traffic Control at Signalized Intersections under Mixed-autonomy Environments Guo, Yi January 2020 (has links) No description available. Civil Engineering Connected and Automated Vehicle Trajectory Control Traffic Signal Control Dynamic Programming Deep Reinforcement Learning
3	A Literature Review of Connected and Automated Vehicles : Attack Vectors Due to Level of Automation Kero, Chanelle January 2020 (has links) The manufacturing of connected and automated vehicles (CAVs) is happening and they are aiming at providing an efficient, safe, and seamless driving experience. This is done by offering automated driving together with wireless communication to and from various objects in the surrounding environment. How automated the vehicle is can be classified from level 0 (no automation at all) to level 5 (fully automated). There is many potential attack vectors of CAVs for attackers to take advantage of and these attack vectors may change depending on what level of automation the vehicle have. There are some known vulnerabilities of CAVs where the security has been breached, but what is seemed to be lacking in the academia in the field of CAVs is a place where the majority of information regarding known attack vectors and cyber-attacks on those is collected. In addition to this the attack vectors may be analyzed for each level of automation the vehicles may have. This research is a systematic literature review (SLR) with three stages (planning, conducting, and report) based on literature review methodology presented by Kitchenham (2004). These stages aim at planning the review, finding articles, extracting information from the found articles, and finally analyzing the result of them. The literature review resulted in information regarding identified cyberattacks and attack vectors the attackers may use as a path to exploit vulnerabilities of a CAV. In total 24 types of attack vectors were identified. Some attack vectors like vehicle communication types, vehicle applications, CAN bus protocol, and broadcasted messages were highlighted the most by the authors. When the attack vectors were analyzed together with the standard of ‘Levels of Driving Automation’ it became clear that there are more vulnerabilities to consider the higher level of automation the vehicle have. The contributions of this research are hence (1) a broad summary of attack vectors of CAVs and (2) a summary of these attack vectors for every level of driving automation. This had not been done before and was found to be lacking in the academia. Attack Vector CAV Connected and Automated Vehicle Cyber-Attacks Cyber-Security ITS Levels of Driving Automation VANET Vehicular Communication Computer and Information Sciences Data- och informationsvetenskap Information Systems
4	Research, Design, and Implementation of Virtual and Experimental Environment for CAV System Design, Calibration, Validation and Verification Goel, Shlok January 2020 (has links) No description available. Mechanical Engineering Automotive Engineering XIL perception system systems engineering model based design fault diagnostics sensor calibration mobileye camera delphi esr radars camera sensors adas connected and automated vehicle ecocar mobility challenge MIL HIL CIL VIL
5	Eco-Driving of Connected and Automated Vehicles (CAVs) Kavas Torris, Ozgenur 23 September 2022 (has links) No description available. Systems Design Technology Transportation Mechanical Engineering Experiments Engineering Energy Design Computer Science Automotive Engineering Eco-Driving Connected and Automated Vehicle CAV fuel economy optimization fuel savings Model-in-the-Loop MIL Hardware-in-the-Loop HIL Vehicle-in-the-Loop VIL Vehicle-to-Infrastructure V2I Vehicle-to-Vehicle V2V Vehicle-to-Everything V2X Unmanned Aerial Vehicles UAV speed profile

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