The Experts below are selected from a list of 1533 Experts worldwide ranked by ideXlab platform

Marc Rene Zofka - One of the best experts on this subject based on the ideXlab platform.

  • Towards Large Scale Urban Traffic Reference Data: Smart Infrastructure in the Test Area Autonomous Driving Baden-Württemberg
    Intelligent Autonomous Systems 15, 2019
    Co-Authors: Tobias Fleck, Karam Daaboul, Philip Schörner, Marek Wehmer, Jens Doll, Stefan Orf, Christian Hubschneider, Nico Sußmann, Michael Weber, Marc Rene Zofka
    Abstract:

    This paper presents the concept, realization and evaluation of a flexible and scalable setup for Smart Infrastructure at the example of the Test Area Autonomous Driving Baden-Württemberg.In verification and validation of autonomous driving systems, there exists a gap between virtual validation and real road tests: Simulation provides an easy and efficient way to assess a system’s performance under a variety of environmental constraints, but is restricted to model assumptions and scenarios, which might ignore important aspects. Whereas expensive real road tests promise an unexpected environment for statistical evaluation of traffic scenarios, but lack of observability. Our setup for Smart Infrastructure is supposed to close the gap by tackling this issue by observing and providing reference data of traffic scenarios for application in different testing and evaluation settings.We present the approach of implementing a distributed intelligent Infrastructure capable of handling traffic light states, road topology and especially information about locally observed traffic participants. The data is provided online via Vehicle-to-X (V2X) communication for live testing and sensor range extension as well as offline via a backend for high-precision analysis and application of machine learning techniques. To obtain information about traffic participants, a camera based object tracking was realised. To cope with the high amount of information to be transmitted via V2X and to use the available bandwidth optimally, the standard for broadcasting vehicle information is modified by applying a form of data compression through prioritization.The setup is initially evaluated at a large intersection in Karlsruhe, Germany.

  • IAS - Towards Large Scale Urban Traffic Reference Data: Smart Infrastructure in the Test Area Autonomous Driving Baden-Württemberg.
    Intelligent Autonomous Systems 15, 2018
    Co-Authors: Tobias Fleck, Karam Daaboul, Philip Schörner, Marek Wehmer, Jens Doll, Christian Hubschneider, Michael Weber, Nico Susmann, Marc Rene Zofka
    Abstract:

    This paper presents the concept, realization and evaluation of a flexible and scalable setup for Smart Infrastructure at the example of the Test Area Autonomous Driving Baden-Wurttemberg.

Dejun Yang - One of the best experts on this subject based on the ideXlab platform.

  • Smart Grid — The New and Improved Power Grid: A Survey
    IEEE Communications Surveys and Tutorials, 2012
    Co-Authors: Xi Fang, Guoliang Xue, Satyajayant Misra, Dejun Yang
    Abstract:

    The Smart Grid, regarded as the next generation power grid, uses two-way flows of electricity and information to create a widely distributed automated energy delivery network. In this article, we survey the literature till 2011 on the enabling technologies for the Smart Grid. We explore three major systems, namely the Smart Infrastructure system, the Smart management system, and the Smart protection system. We also propose possible future directions in each system. colorred{Specifically, for the Smart Infrastructure system, we explore the Smart energy subsystem, the Smart information subsystem, and the Smart communication subsystem.} For the Smart management system, we explore various management objectives, such as improving energy efficiency, profiling demand, maximizing utility, reducing cost, and controlling emission. We also explore various management methods to achieve these objectives. For the Smart protection system, we explore various failure protection mechanisms which improve the reliability of the Smart Grid, and explore the security and privacy issues in the Smart Grid.

  • Smart grid - The new and improved power grid: A survey
    IEEE Communications Surveys and Tutorials, 2012
    Co-Authors: Xi Fang, Guoliang Xue, Satyajayant Misra, Dejun Yang
    Abstract:

    The Smart Grid, regarded as the next generation power grid, uses two-way flows of electricity and information to create a widely distributed automated energy delivery network. In this article, we survey the literature till 2011 on the enabling technologies for the Smart Grid. We explore three major systems, namely the Smart Infrastructure system, the Smart management system, and the Smart protection system. We also propose possible future directions in each system. colorred{Specifically, for the Smart Infrastructure system, we explore the Smart energy subsystem, the Smart information subsystem, and the Smart communication subsystem.} For the Smart management system, we explore various management objectives, such as improving energy efficiency, profiling demand, maximizing utility, reducing cost, and controlling emission. We also explore various management methods to achieve these objectives. For the Smart protection system, we explore various failure protection mechanisms which improve the reliability of the Smart Grid, and explore the security and privacy issues in the Smart Grid.

  • Smart Grid – The New and Improved Power Grid
    IEEE Communications Surveys Tutorials, 2011
    Co-Authors: Xi Fang, Guoliang Xue, Satyajayant Misra, Dejun Yang
    Abstract:

    The Smart Grid, regarded as the next generation power grid, uses two-way flows of electricity and information to create a widely distributed automated energy delivery network. In this article, we survey the literature till 2011 on the enabling technologies for the Smart Grid. We explore three major systems, namely the Smart Infrastructure system, the Smart management system, and the Smart protection system. We also propose possible future directions in each system. Specifically, for the Smart Infrastructure system, we explore the Smart energy subsystem, the Smart information subsystem, and the Smart communication subsystem. For the Smart management system, we explore various management objectives, such as improving energy efficiency, profiling demand, maximizing utility, reducing cost, and controlling emission. We also explore various management methods to achieve these objectives. For the Smart protection system, we explore various failure protection mechanisms which improve the reliability of the Smart Grid, and explore the security and privacy issues in the Smart Grid.

Yingli Lou - One of the best experts on this subject based on the ideXlab platform.

  • A holistic evaluation of Smart city performance in the context of China
    Journal of Cleaner Production, 2018
    Co-Authors: Liyin Shen, Siu Wai Wong, Zhenhua Huang, Shiju Liao, Yingli Lou
    Abstract:

    Development of Smart city has been increasingly accepted as a new technology-based solution to mitigate urban diseases. The Chinese government has been devoting good efforts to the promotion of Smart city through introducing a series of policies. However, policies may have limited effectiveness in application if they do not respond to the practice. There is little study examining what results have been achieved in practice by applying policy measures. This study presents a holistic evaluation of Smart city performance in the context of China. The evaluation indicators in this study are selected by applying a hybrid research methodology including literature review and semi-structured interviews. Indicator data are collected from 44 sample Smart cities. The evaluation was conducted by applying Entropy method and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) technique collectively. This study highlights that the overall Smart city performance in China is at a relatively low level. There is also a significant unbalance in performance between five Smart city dimensions including Smart Infrastructure, governance, people, economy and environment. The Smart performance between cities varies significantly since cities implement Smart city programs in different ways. These differences impede experience sharing between cities. Actions have been recommended in this study for promoting further development of Smart city in the context of China, such as increasing the investment on Smart Infrastructure, providing training programs, and establishing evaluation mechanism.

Tobias Fleck - One of the best experts on this subject based on the ideXlab platform.

  • Towards Large Scale Urban Traffic Reference Data: Smart Infrastructure in the Test Area Autonomous Driving Baden-Württemberg
    Intelligent Autonomous Systems 15, 2019
    Co-Authors: Tobias Fleck, Karam Daaboul, Philip Schörner, Marek Wehmer, Jens Doll, Stefan Orf, Christian Hubschneider, Nico Sußmann, Michael Weber, Marc Rene Zofka
    Abstract:

    This paper presents the concept, realization and evaluation of a flexible and scalable setup for Smart Infrastructure at the example of the Test Area Autonomous Driving Baden-Württemberg.In verification and validation of autonomous driving systems, there exists a gap between virtual validation and real road tests: Simulation provides an easy and efficient way to assess a system’s performance under a variety of environmental constraints, but is restricted to model assumptions and scenarios, which might ignore important aspects. Whereas expensive real road tests promise an unexpected environment for statistical evaluation of traffic scenarios, but lack of observability. Our setup for Smart Infrastructure is supposed to close the gap by tackling this issue by observing and providing reference data of traffic scenarios for application in different testing and evaluation settings.We present the approach of implementing a distributed intelligent Infrastructure capable of handling traffic light states, road topology and especially information about locally observed traffic participants. The data is provided online via Vehicle-to-X (V2X) communication for live testing and sensor range extension as well as offline via a backend for high-precision analysis and application of machine learning techniques. To obtain information about traffic participants, a camera based object tracking was realised. To cope with the high amount of information to be transmitted via V2X and to use the available bandwidth optimally, the standard for broadcasting vehicle information is modified by applying a form of data compression through prioritization.The setup is initially evaluated at a large intersection in Karlsruhe, Germany.

  • IAS - Towards Large Scale Urban Traffic Reference Data: Smart Infrastructure in the Test Area Autonomous Driving Baden-Württemberg.
    Intelligent Autonomous Systems 15, 2018
    Co-Authors: Tobias Fleck, Karam Daaboul, Philip Schörner, Marek Wehmer, Jens Doll, Christian Hubschneider, Michael Weber, Nico Susmann, Marc Rene Zofka
    Abstract:

    This paper presents the concept, realization and evaluation of a flexible and scalable setup for Smart Infrastructure at the example of the Test Area Autonomous Driving Baden-Wurttemberg.

Xi Fang - One of the best experts on this subject based on the ideXlab platform.

  • Smart Grid — The New and Improved Power Grid: A Survey
    IEEE Communications Surveys and Tutorials, 2012
    Co-Authors: Xi Fang, Guoliang Xue, Satyajayant Misra, Dejun Yang
    Abstract:

    The Smart Grid, regarded as the next generation power grid, uses two-way flows of electricity and information to create a widely distributed automated energy delivery network. In this article, we survey the literature till 2011 on the enabling technologies for the Smart Grid. We explore three major systems, namely the Smart Infrastructure system, the Smart management system, and the Smart protection system. We also propose possible future directions in each system. colorred{Specifically, for the Smart Infrastructure system, we explore the Smart energy subsystem, the Smart information subsystem, and the Smart communication subsystem.} For the Smart management system, we explore various management objectives, such as improving energy efficiency, profiling demand, maximizing utility, reducing cost, and controlling emission. We also explore various management methods to achieve these objectives. For the Smart protection system, we explore various failure protection mechanisms which improve the reliability of the Smart Grid, and explore the security and privacy issues in the Smart Grid.

  • Smart grid - The new and improved power grid: A survey
    IEEE Communications Surveys and Tutorials, 2012
    Co-Authors: Xi Fang, Guoliang Xue, Satyajayant Misra, Dejun Yang
    Abstract:

    The Smart Grid, regarded as the next generation power grid, uses two-way flows of electricity and information to create a widely distributed automated energy delivery network. In this article, we survey the literature till 2011 on the enabling technologies for the Smart Grid. We explore three major systems, namely the Smart Infrastructure system, the Smart management system, and the Smart protection system. We also propose possible future directions in each system. colorred{Specifically, for the Smart Infrastructure system, we explore the Smart energy subsystem, the Smart information subsystem, and the Smart communication subsystem.} For the Smart management system, we explore various management objectives, such as improving energy efficiency, profiling demand, maximizing utility, reducing cost, and controlling emission. We also explore various management methods to achieve these objectives. For the Smart protection system, we explore various failure protection mechanisms which improve the reliability of the Smart Grid, and explore the security and privacy issues in the Smart Grid.

  • Smart Grid – The New and Improved Power Grid
    IEEE Communications Surveys Tutorials, 2011
    Co-Authors: Xi Fang, Guoliang Xue, Satyajayant Misra, Dejun Yang
    Abstract:

    The Smart Grid, regarded as the next generation power grid, uses two-way flows of electricity and information to create a widely distributed automated energy delivery network. In this article, we survey the literature till 2011 on the enabling technologies for the Smart Grid. We explore three major systems, namely the Smart Infrastructure system, the Smart management system, and the Smart protection system. We also propose possible future directions in each system. Specifically, for the Smart Infrastructure system, we explore the Smart energy subsystem, the Smart information subsystem, and the Smart communication subsystem. For the Smart management system, we explore various management objectives, such as improving energy efficiency, profiling demand, maximizing utility, reducing cost, and controlling emission. We also explore various management methods to achieve these objectives. For the Smart protection system, we explore various failure protection mechanisms which improve the reliability of the Smart Grid, and explore the security and privacy issues in the Smart Grid.