Vehicle Infrastructure Integration

Vehicle Infrastructure Integration

Author: Fouad Sabry

Publisher: One Billion Knowledgeable

Published: 2024-05-04

Total Pages: 123

ISBN-13:

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What is Vehicle Infrastructure Integration Vehicle infrastructure integration (VII) is an initiative fostering research and application development for a series of technologies directly linking road vehicles to their physical surroundings, first and foremost to improve road safety. The technology draws on several disciplines, including transport engineering, electrical engineering, automotive engineering, and computer science. VII specifically covers road transport, although similar technologies are in place or under development for other modes of transport. Planes, for example, use ground-based beacons for automated guidance, allowing the autopilot to fly the plane without human intervention. In highway engineering, improving the safety of a roadway can enhance overall efficiency. VII targets to improve both safety and efficiency. How you will benefit (I) Insights, and validations about the following topics: Chapter 1: Vehicle Infrastructure Integration Chapter 2: Intelligent Transportation System Chapter 3: Dedicated Short-Range Communications Chapter 4: Vehicular Communication Systems Chapter 5: Vehicular Ad Hoc Network Chapter 6: Research and Innovative Technology Administration Chapter 7: Connected Car Chapter 8: Intelligent Speed Assistance Chapter 9: GNSS Road Pricing Chapter 10: Safety of Cycling Infrastructure (II) Answering the public top questions about vehicle infrastructure integration. (III) Real world examples for the usage of vehicle infrastructure integration in many fields. Who this book is for Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of Vehicle Infrastructure Integration.


Integrated High Resolution Imaging Radar and Decision Support System for the Rehabilitation of WATER PIPElines

Integrated High Resolution Imaging Radar and Decision Support System for the Rehabilitation of WATER PIPElines

Author: Matthaios Bimpas

Publisher: IWA Publishing

Published: 2010-07-31

Total Pages: 105

ISBN-13: 1843393719

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Many EU cities are experiencing increasing problems with their water pipeline infrastructure. The cost of replacing these old, worn-out systems, if left to deteriorate beyond repair, is astronomical and clearly beyond the resources of many communities. Replacement, however, is not the only choice as many of these systems can be rehabilitated at 30 to 70 percent of the cost of replacement. Accordingly, resources are now increasingly being allocated to address pipeline rehabilitation management issues. Due to the emphasis on sustainable management, risk-based approaches for the rehabilitation management of the water supply network need to be developed. Rehabilitation decisions should be based, interalia, on inspection and evaluation of the pipeline conditions. Yet, utilities cannot locate a number of their old pipes and current inspection technologies typically do not provide the needed detailed information on pipeline damage. The objectives of this book are to describe the research work carried out in the framework of WATERPIPE project aiming: To develop a novel, high-resolution imaging ground penetrating radar for the detection of pipes, leaks and damages and the imaging of the damaged region and evaluate it at a test site To produce an integrated system that will contain the equipment in "1" and a Decision Support System (DSS) for the rehabilitation management of the underground water pipelines that will use input from the inspections to assess, probabilistically, the time-dependent leakage and structural reliability of the pipelines and a risk-based methodology for rehabilitation decisions that considers the overall risk, including financial, social and environmental criteria To field test the equipment and the DSS


Handbook on Decision Making

Handbook on Decision Making

Author: Chee Peng Lim

Publisher: Springer Science & Business Media

Published: 2010-09-07

Total Pages: 539

ISBN-13: 3642136397

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Decision making arises when we wish to select the best possible course of action from a set of alternatives. With advancements of the digital technologies, it is easy, and almost instantaneous, to gather a large volume of information and/or data pertaining to a problem that we want to solve. For instance, the world-wi- web is perhaps the primary source of information and/or data that we often turn to when we face a decision making problem. However, the information and/or data that we obtain from the real world often are complex, and comprise various kinds of noise. Besides, real-world information and/or data often are incomplete and ambiguous, owing to uncertainties of the environments. All these make decision making a challenging task. To cope with the challenges of decision making, - searchers have designed and developed a variety of decision support systems to provide assistance in human decision making processes. The main aim of this book is to provide a small collection of techniques stemmed from artificial intelligence, as well as other complementary methodo- gies, that are useful for the design and development of intelligent decision support systems. Application examples of how these intelligent decision support systems can be utilized to help tackle a variety of real-world problems in different - mains, e. g. business, management, manufacturing, transportation and food ind- tries, and biomedicine, are also presented. A total of twenty chapters, which can be broadly divided into two parts, i. e.


Fleets Go Green

Fleets Go Green

Author: Christoph Herrmann

Publisher: Springer

Published: 2018-06-11

Total Pages: 121

ISBN-13: 3319727249

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The book presents the results of the research project Fleets Go Green from different engineering disciplines. It includes comprehensive empirical data as well as different methods and tools for evaluating and integrating electric vehicles into corporate fleets. Finally, the authors give recommendations for fleet owners, vehicle manufacturers and political decision. The aim of the joint research project Fleets Go Green was the integrated analysis and evaluation of the environmental performance of electric and plug-in-hybrid vehicles in everyday usage on the example of fleet operations. The potential of electric vehicles for reducing the harmful environmental impacts of road transport in everyday conditions can only be analyzed and evaluated in field tests. If electric vehicles should realize their potential to reduce emissions and minimize the consumption of resources, an integrated life cycle assessment is required.


NextGen

NextGen

Author: United States. Congress. House. Committee on Transportation and Infrastructure. Subcommittee on Aviation

Publisher:

Published: 2009

Total Pages: 216

ISBN-13:

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ITS Sensors and Architectures for Traffic Management and Connected Vehicles

ITS Sensors and Architectures for Traffic Management and Connected Vehicles

Author: Lawrence A. Klein

Publisher: CRC Press

Published: 2017-08-07

Total Pages: 574

ISBN-13: 1351800973

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An intelligent transportation system (ITS) offers considerable opportunities for increasing the safety, efficiency, and predictability of traffic flow and reducing vehicle emissions. Sensors (or detectors) enable the effective gathering of arterial and controlled-access highway information in support of automatic incident detection, active transportation and demand management, traffic-adaptive signal control, and ramp and freeway metering and dispatching of emergency response providers. As traffic flow sensors are integrated with big data sources such as connected and cooperative vehicles, and cell phones and other Bluetooth-enabled devices, more accurate and timely traffic flow information can be obtained. The book examines the roles of traffic management centers that serve cities, counties, and other regions, and the collocation issues that ensue when multiple agencies share the same space. It describes sensor applications and data requirements for several ITS strategies; sensor technologies; sensor installation, initialization, and field-testing procedures; and alternate sources of traffic flow data. The book addresses concerns related to the introduction of automated and connected vehicles, and the benefits that systems engineering and national ITS architectures in the US, Europe, Japan, and elsewhere bring to ITS. Sensor and data fusion benefits to traffic management are described, while the Bayesian and Dempster–Shafer approaches to data fusion are discussed in more detail. ITS Sensors and Architectures for Traffic Management and Connected Vehicles suits the needs of personnel in transportation institutes and highway agencies, and students in undergraduate or graduate transportation engineering courses.