Kevin Heaslip

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This work describes a new type of efficiency attack that can be used to degrade the performance of automated vehicular transportation systems. Next-generation transportation technologies will leverage increasing use of vehicle automation. Proposed vehicular automation systems include cooperative adaptive cruise control and vehicle platooning strategies(More)
Vehicles that are becoming more highly automated are revolutionizing the world's transportation systems for their promise of increased safety and efficiency. The advantage of vehicles incorporating automation is that they do not suffer from the same limitations as human drivers, such as being distracted or impaired. In order to realize the potential of(More)
Automated vehicles have the potential to revolutionize our nation's transportation systems as they promise to dramatically reduce congestion, accidents, and fuel usage. Namely, as it becomes possible to precisely exert control on and coordinate the movement and placement of vehicles along a stretch of highway, the separation distance between vehicles can be(More)
INTRODUCTION Animal-vehicle collisions (AVCs) can result in serious injury and death to drivers, animals' death, and significant economic costs. However, the cost effectiveness of the majority of AVC mitigation measures is a significant issue. METHOD A mobile-based data collection effort was deployed to measure signs under the Utah Department of(More)
In this work, we employ distance bounding (DB) and verifiable trilateration (VT) for secure localization in an intelligent transportation system (ITS). We first demonstrate several possible attack scenarios, and then establish an analytical framework to evaluate the security of these schemes. Results are derived in terms of the probability of a given(More)
The Washington State Department of Transportation (WSDOT) is responsible for planning, operating, and maintaining a highway network consisting of over 18,500 lane-miles of highway. Planning and building highways is, by nature, a long-range enterprise. It requires making many assumptions about future travel demand as well as estimating future fuel tax(More)
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