The State-of-the-art of Coordinated Ramp Control with Mixed Traffic Conditions

Ramp metering, a traditional traffic control strategy for conventional vehicles, has been widely deployed around the world since the 1960s. On the other hand, the last decade has witnessed significant advances in connected and automated vehicle (CAV) technology and its great potential for improving safety, mobility and environmental sustainability. Therefore, a large amount of research has been conducted on cooperative ramp merging for CAVs only. However, it is expected that the phase of mixed traffic, namely the coexistence of both human-driven vehicles and CAVs, would last for a long time. Since there is little research on the system-wide ramp control with mixed traffic conditions, the paper aims to close this gap by proposing an innovative system architecture and reviewing the state-of-the-art studies on the key components of the proposed system. These components include traffic state estimation, ramp metering, driving behavior modeling, and coordination of CAVs. All reviewed literature plot an extensive landscape for the proposed system-wide coordinated ramp control with mixed traffic conditions.Comment: 8 pages, 1 figure, IEEE INTELLIGENT TRANSPORTATION SYSTEMS CONFERENCE - ITSC 201

Vision-Based Lane-Changing Behavior Detection Using Deep Residual Neural Network

Accurate lane localization and lane change detection are crucial in advanced driver assistance systems and autonomous driving systems for safer and more efficient trajectory planning. Conventional localization devices such as Global Positioning System only provide road-level resolution for car navigation, which is incompetent to assist in lane-level decision making. The state of art technique for lane localization is to use Light Detection and Ranging sensors to correct the global localization error and achieve centimeter-level accuracy, but the real-time implementation and popularization for LiDAR is still limited by its computational burden and current cost. As a cost-effective alternative, vision-based lane change detection has been highly regarded for affordable autonomous vehicles to support lane-level localization. A deep learning-based computer vision system is developed to detect the lane change behavior using the images captured by a front-view camera mounted on the vehicle and data from the inertial measurement unit for highway driving. Testing results on real-world driving data have shown that the proposed method is robust with real-time working ability and could achieve around 87% lane change detection accuracy. Compared to the average human reaction to visual stimuli, the proposed computer vision system works 9 times faster, which makes it capable of helping make life-saving decisions in time

Synergizing Roadway Infrastructure Investment with Digital Infrastructure for Infrastructure-Based Connected Vehicle Applications: Review of Current Status and Future Directions

The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link.The safety, mobility, environmental and economic benefits of Connected and Autonomous Vehicles (CAVs) are potentially dramatic. However, realization of these benefits largely hinges on the timely upgrading of the existing transportation system. CAVs must be enabled to send and receive data to and from other vehicles and drivers (V2V communication) and to and from infrastructure (V2I communication). Further, infrastructure and the transportation agencies that manage it must be able to collect, process, distribute and archive these data quickly, reliably, and securely. This paper focuses on current digital roadway infrastructure initiatives and highlights the importance of including digital infrastructure investment alongside more traditional infrastructure investment to keep up with the auto industry's push towards this real time communication and data processing capability. Agencies responsible for transportation infrastructure construction and management must collaborate, establishing national and international platforms to guide the planning, deployment and management of digital infrastructure in their jurisdictions. This will help create standardized interoperable national and international systems so that CAV technology is not deployed in a haphazard and uncoordinated manner

BACK TO KATZ: REASONABLE EXPECTATION OF PRIVACY IN THE FACEBOOK AGE

Part I of this Note discusses the evolution of Fourth Amendment jurisprudence in reaction to advancing technology, the Supreme Court and circuit courts’ disposition in dealing with electronic “beeper” tracking (the technology that predated GPS), and the legal doctrine governing the government’s use of cellular phones to conduct surveillance of individuals both retroactively and in real-time. Part II examines the developing split among the federal circuits and state courts over whether GPS surveillance of vehicles constitutes a search, as well as the parallel concerns raised in recent published opinions by magistrate judges as to whether government requests for cell-site information from third party service providers require a warrant. Part III of this Note argues for the adoption of a rule that GPS surveillance constitutes a search and seizure and should require a warrant because the privacy expectation—that the government is not tracking its citizens twenty-four hours per day—is still one that society considers legitimate. It also argues that increasing public use or consent to third party use of GPS technology does not destroy an individual’s reasonable expectation of privacy in his movements, nor indicate that society no longer views these expectations as reasonable. In fact, increased public awareness of recent technological invasions of privacy may be producing an increased demand for control over information

Psychopower and Ordinary Madness: Reticulated Dividuals in Cognitive Capitalism

Despite the seemingly neutral vantage of using nature for widely-distributed computational purposes, neither post-biological nor post-humanist teleology simply concludes with the real "end of nature" as entailed in the loss of the specific ontological status embedded in the identifier "natural." As evinced by the ecological crises of the Anthropocene—of which the 2019 Brazil Amazon rainforest fires are only the most recent—our epoch has transfixed the “natural order" and imposed entropic artificial integration, producing living species that become “anoetic,” made to serve as automated exosomatic residues, or digital flecks. I further develop Gilles Deleuze’s description of control societies to upturn Foucauldian biopower, replacing its spacio-temporal bounds with the exographic excesses in psycho-power; culling and further detailing Bernard Stiegler’s framework of transindividuation and hyper-control, I examine how becoming-subject is predictively facilitated within cognitive capitalism and what Alexander Galloway terms “deep digitality.” Despite the loss of material vestiges qua virtualization—which I seek to trace in an historical review of industrialization to postindustrialization—the drive-based and reticulated "internet of things" facilitates a closed loop from within the brain to the outside environment, such that the aperture of thought is mediated and compressed. The human brain, understood through its material constitution, is susceptible to total datafication’s laminated process of “becoming-mnemotechnical,” and, as neuroplasticity is now a valid description for deep-learning and neural nets, we are privy to the rebirth of the once-discounted metaphor of the “cybernetic brain.” Probing algorithmic governmentality while posing noetic dreaming as both technical and pharmacological, I seek to analyze how spirit is blithely confounded with machine-thinking’s gelatinous cognition, as prosthetic organ-adaptation becomes probabilistically molded, networked, and agentially inflected (rather than simply externalized)

Cooperative localization for mobile agents: a recursive decentralized algorithm based on Kalman filter decoupling

We consider cooperative localization technique for mobile agents with communication and computation capabilities. We start by provide and overview of different decentralization strategies in the literature, with special focus on how these algorithms maintain an account of intrinsic correlations between state estimate of team members. Then, we present a novel decentralized cooperative localization algorithm that is a decentralized implementation of a centralized Extended Kalman Filter for cooperative localization. In this algorithm, instead of propagating cross-covariance terms, each agent propagates new intermediate local variables that can be used in an update stage to create the required propagated cross-covariance terms. Whenever there is a relative measurement in the network, the algorithm declares the agent making this measurement as the interim master. By acquiring information from the interim landmark, the agent the relative measurement is taken from, the interim master can calculate and broadcast a set of intermediate variables which each robot can then use to update its estimates to match that of a centralized Extended Kalman Filter for cooperative localization. Once an update is done, no further communication is needed until the next relative measurement

Precision Targets: GPS and the Militarization of U.S. Consumer Identity

For most people in the United States, war is almost always elsewhere. Since the Civil War, declared wars have been engaged on terrains at a distance from the continental space of the nation. Until the attacks on the World Trade towers and the Pentagon in September 2001, many people in the United States perceived war to be conflicts between the standing armies of nation-states conducted at least a border—if not oceans and continents—away. Even the attacks of September 11 were localized in such a way as to feel as remote as they were immediate—watching cable news from elsewhere in the country, most U.S. residents were brought close to scenes of destruction and death by the media rather than by direct experience. Thus, in the United States, we could be said to be "consumers" of war, since our gaze is almost always fixed on representations of war that come from places perceived to be remote from the heartland

Post-panoptic pedagogies: the changing nature of school surveillance in the digital age

The aim of this paper is to explore critically the everyday conditions of surveillance in the contemporary secondary school context. Using a classical ethnographic approach, it seeks to unpack the range of surveillance practices and processes that are at work within schools as institutional settings, and how these are encountered and experienced by students, teachers, administrators, and other members of a school community. The main concern is with the hypothesized evolution of panoptic to post-panoptic surveillance and whether or not surveillance in schools emulates such developments, specifically with regards to the levelling of power hierarchies as a result of the incorporation of both vertical and horizontal modes of surveillance. To offer concrete examples of this shift in models of surveillance, this paper examine three manifestations of surveillance in schools: CCTV, mobile phones, and elearning and content management platforms as modes of dataveillance, a particularized form of surveillance that has come to characterize modern surveillance functions. The primary question that drives this research is what evidence is there for these functions/modes of surveillance, and how are digital technologies implicit in their operation