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The General Accounting Office (GAO) examined the development and application of intelligent vehicle and highway systems (IVHS), more commonly known as smart highways, as a means of reducing traffic congestion. The following questions were addressed: What have the major studies concluded about the potential effects of IVHS, and to what extent are these findings empirically based? What additional information can be learned from IVHS field tests under way? What major obstacles could impede the realization of transportation benefits possible through IVHS technologies? In brief, GAO found that the empirical basis for judging the effects of IVHS is limited but nonetheless positive and promising.
In the industry of transportation, the demand for sustainable energy solutions and intelligent traffic management has reached a critical juncture. One of the key challenges faced is the efficient utilization of roadways to generate power and support the infrastructure of smart highways. Road piezoelectric energy harvesting (RPEH) is a concept that has sparked widespread interest in both industry and academia. The book, titled Principles and Applications in Speed Sensing and Energy Harvesting for Smart Roads, unravels the intricacies of RPEH and presents a visionary solution to power traffic ancillary facilities and wireless sensor devices on highways. Within its pages lies a transformative proposal – harnessing energy from piezoelectric stacks to not only address the power needs of these critical components but also to enable intelligent vehicle speed sensing. This book is for academic scholars and practitioners alike, navigating the intricate landscape of smart highways. Focused on the latest energy harvesting technologies and vehicle speed sensing, it extends an invitation to delve into communication with smart road displays. Tailored for diverse engineering disciplines—electrical, computer, mechanical, and civil—the book contains cutting-edge research in the domain. Aspiring to be a one-stop source for up-to-date information, it guides researchers, students, and industry professionals through state-of-the-art technologies, fostering a deeper understanding of smart highway systems.
Provides non-technical history and overview of the IVHS initiative in the United States along with the components of IVHS (ATIS, APTS, ATMS, AVCS, ARTS, CVO) and provides details of IVHS activities and developments in Europe and Japan.
Intelligent vehicle-highway systems (IVHS) have the potential to improve the performance of the Nation's transportation system. These technologies apply to all transportation modes that use streets and highways. This report, called for in Section 6054(d) of the Intermodal Surface Transportation Efficiency Act of 1991, discusses whether nontechnical and institutional factors raise substantial barriers to the development and deployment of IVHS in the United States. The report is based upon results of research studies and comments from members of the IVHS community, State and local governments, universities, private parties, and public interest groups.
This index provides summaries of 169 U.S. General Accounting Office (GAO) products-l10 reports and 49 testimonies-related to transportation that were issued from May 1991 through April 1992.
A detailed, practical review of state-of-the-art implementations of memory in IoT hardware As the Internet of Things (IoT) technology continues to evolve and become increasingly common across an array of specialized and consumer product applications, the demand on engineers to design new generations of flexible, low-cost, low power embedded memories into IoT hardware becomes ever greater. This book helps them meet that demand. Coauthored by a leading international expert and multiple patent holder, this book gets engineers up to speed on state-of-the-art implementations of memory in IoT hardware. Memories for the Intelligent Internet of Things covers an array of common and cutting-edge IoT embedded memory implementations. Ultra-low-power memories for IoT devices-including plastic and polymer circuitry for specialized applications, such as medical electronics-are described. The authors explore microcontrollers with embedded memory used for smart control of a multitude of Internet devices. They also consider neuromorphic memories made in Ferroelectric RAM (FeRAM), Resistance RAM (ReRAM), and Magnetic RAM (MRAM) technologies to implement artificial intelligence (AI) for the collection, processing, and presentation of large quantities of data generated by IoT hardware. Throughout the focus is on memory technologies which are complementary metal oxide semiconductor (CMOS) compatible, including embedded floating gate and charge trapping EEPROM/Flash along with FeRAMS, FeFETs, MRAMs and ReRAMs. Provides a timely, highly practical look at state-of-the-art IoT memory implementations for an array of product applications Synthesizes basic science with original analysis of memory technologies for Internet of Things (IoT) based on the authors' extensive experience in the field Focuses on practical and timely applications throughout Features numerous illustrations, tables, application requirements, and photographs Considers memory related security issues in IoT devices Memories for the Intelligent Internet of Things is a valuable working resource for electrical engineers and engineering managers working in the electronics system and semiconductor industries. It is also an indispensable reference/text for graduate and advanced undergraduate students interested in the latest developments in integrated circuit devices and systems.