The Experts below are selected from a list of 14796 Experts worldwide ranked by ideXlab platform

Victor C. M. Leung - One of the best experts on this subject based on the ideXlab platform.

  • DIVANet@MSWiM - On Developing Smart Transportation Applications in Fog Computing Paradigm
    Proceedings of the 6th ACM Symposium on Development and Analysis of Intelligent Vehicular Networks and Applications, 2016
    Co-Authors: Nam Ky Giang, Victor C. M. Leung, Rodger Lea
    Abstract:

    Smart Transportation applications by nature are examples of Vehicular Ad-hoc Network (VANETs) applications where mobile vehicles, roadside units and Transportation infrastructure interplay with one another to provide value added services. While there are abundant researches that focused on the communication aspect of such Mobile Ad-hoc Networks, there are few research bodies that target the development of VANET applications. Among the popular VANET applications, a dominant direction is to leverage Cloud infrastructure to execute and deliver applications and services. Recent studies showed that Cloud Computing is not sufficient for many VANET applications due to the mobility of vehicles and the latency sensitive requirements they impose. To this end, Fog Computing has been proposed to leverage computation infrastructure that is closer to the network edge to compliment Cloud Computing in providing latency-sensitive applications and services. However, applications development in Fog environment is much more challenging than in the Cloud due to the distributed nature of Fog systems. In this paper, we investigate how Smart Transportation applications are developed following Fog Computing approach, their challenges and possible mitigation from the state of the arts.

  • On Developing Smart Transportation Applications in Fog Computing Paradigm
    Proceedings of the 6th ACM Symposium on Development and Analysis of Intelligent Vehicular Networks and Applications - DIVANet '16, 2016
    Co-Authors: Nam Ky Giang, Victor C. M. Leung, Rodger Lea
    Abstract:

    Smart Transportation applications by nature are examples of Vehicular Ad-hoc Network (VANETs) applications where mobile vehicles, roadside units and Transportation infrastructure interplay with one another to provide value added services. While there are abundant researches that focused on the communication aspect of such Mobile Ad-hoc Networks, there are few research bodies that target the development of VANET applications. Among the popular VANET applications, a dominant direction is to leverage Cloud infrastructure to execute and deliver applications and services. Recent studies showed that Cloud Computing is not sufi- cient for many VANET applications due to the mobility of vehicles and the latency sensitive requirements they impose. To this end, Fog Computing has been proposed to leverage computation infrastructure that is closer to the network edge to compliment Cloud Computing in providing latencysensitive applications and services. However, applications development in Fog environment is much more challenging than in the Cloud due to the distributed nature of Fog systems. In this paper, we investigate how Smart Transportation applications are developed following Fog Computing approach, their challenges and possible mitigation from the state of the arts. {\copyright} 2016 ACM.

  • Towards mobility-as-a-service to promote Smart Transportation
    2015 IEEE 82nd Vehicular Technology Conference VTC Fall 2015 - Proceedings, 2016
    Co-Authors: Xiping Hu, Johnny Shen, Nam Ky Giang, Victor C. M. Leung, Xitong Li
    Abstract:

    In this paper, we present a mobility cloud platform called CarCloud that has been designed to facilitate the real-world deployment of ubiquitous mobile telematic applications to promote Smart Transportation. CarCloud leverages the mobility, sensing and communication capacities of mobile devices, and collaborates with sensors embedded in vehicles (e.g., accessed via OBD-II) and cloud services to form a seamless platform. This platform orchestrates different mobility data in Transportations to REST web service based mobility services that could be used for different mobile telematic applications (e.g., enabling traffic managers to monitor the behaviors of drivers) in intelligent Transportation systems (ITS). Prototype implementation and preliminary experiments demonstrate the desired functionality of CarCloud for ITS and its feasibility for real-world deployment.

  • VTC Fall - Towards Mobility-as-a-Service to Promote Smart Transportation
    2015 IEEE 82nd Vehicular Technology Conference (VTC2015-Fall), 2015
    Co-Authors: Nam Ky Giang, Johnny Shen, Victor C. M. Leung
    Abstract:

    In this paper, we present a mobility cloud platform called CarCloud that has been designed to facilitate the real-world deployment of ubiquitous mobile telematic applications to promote Smart Transportation. CarCloud leverages the mobility, sensing and communication capacities of mobile devices, and collaborates with sensors embedded in vehicles (e.g., accessed via OBD-II) and cloud services to form a seamless platform. This platform orchestrates different mobility data in Transportations to REST web service based mobility services that could be used for different mobile telematic applications (e.g., enabling traffic managers to monitor the behaviors of drivers) in intelligent Transportation systems (ITS). Prototype implementation and preliminary experiments demonstrate the desired functionality of CarCloud for ITS and its feasibility for real-world deployment.

Gunnar Stefansson - One of the best experts on this subject based on the ideXlab platform.

  • THE POTENTIAL EFFECTS OF Smart Transportation MANAGEMENT ON TRANSPORT OPERATIONS
    2010
    Co-Authors: Gunnar Stefansson, Andreas Hagen
    Abstract:

    The purpose of this paper is to identify functionalities provided by Smart Transportation Management (STM) systems that contribute to more effective transport operations. To prepare the paper, a literature study was conducted, looking for relevant up-to-date literature within the fields of Transportation, logistics, ICT and possible environmental impacts caused by freight Transportation. Based on the results from the literature review and previous work on the Smart Transportation Management model, it was used as a framework for data collection. The data collection was carried out by interviewing representatives from companies and organizations that are considered experts in various aspects of Transportation management and usage of advanced technologies to operate Transportation and Transportation infrastructure. The approach was to identify functionalities of different components of the conceptual Smart Transportation Management model; Smart Freight, Smart Vehicle and Smart Infrastructure, and identify the potential benefits it will bring to transport operations. Many functions were found, including automatic identification, dynamic routing, dynamic traffic information, etc., that have potential impacts on Transportation operations.

  • Smart Transportation Management Systems to Support Visibility of the Supply Chain Information Types
    2009
    Co-Authors: Gunnar Stefansson, Kenth Lumsden, Vahid Mirzabeiki
    Abstract:

    The purpose of this paper is to evaluate how much the Smart Transportation management (STM) systems are affecting visibility of different value-adding supply chain information types (SCIT). A literature study was conducted to identify the STM systems’ cornerstones and the value-adding supply chain information types. Interviews with logistics managers of Swedish industrial and retailing companies were conducted to evaluate how much visibility of different SCITs is affected by using the STM systems. The visibility of information regarding the location of products in supply chain and condition of products in shipment has the largest support from the STM systems out of the interviews with the logistics managers.

  • The Effects of Smart Transportation Management on Transport Operations, Environment and Safety/Security
    2009
    Co-Authors: Andreas Hagen, Gunnar Stefansson
    Abstract:

    The purpose of this paper is to determine and analyze the effects of Smart Transportation Management (STM) setups in three different areas; transport operations, environmental impacts and impacts on safety/security. To prepare the paper, a literature study was conducted and interviews carried out with representatives from companies and organizations that are included in advanced Transportation setups. The approach was to identify the effects of Smart Freight, Smart Vehicle and Smart Infrastructure on the three areas mentioned areas. The main effects of using the STM setups were identified for one or more area and even on all three areas such as dynamic routing, automatic identification, and more

  • Performance issues of Smart Transportation Management systems
    International Journal of Productivity and Performance Management, 2008
    Co-Authors: Gunnar Stefansson, Kenth Lumsden
    Abstract:

    Purpose – The purpose of this paper is to use the conceptual model of the Smart Transportation Management (STM) system and analyze how the included factors change the performance of distribution activities and what management issues are at stake.Design/methodology/approach – To prepare the paper, a literature study was made and case studies carried out in companies and organizations that are included in advanced Transportation setups, including infrastructure providers, carriers, truck manufacturers, software providers, shippers, and more.Findings – The main finding of the study is a model that includes three major components of Smart Transportation management, namely, Smart goods, Smart vehicles and Smart infrastructure. These components embrace some factors that have effects on supply chain performance; however, to different extents.Research limitations/implications – The paper uses a framework for the Smart Transportation management system that is useful when studying advanced Transportation management...

  • The Essentials of Smart Transportation Management
    2008
    Co-Authors: Gunnar Stefansson, Kenth Lumsden
    Abstract:

    The purpose of this paper is to develop a conceptual model of the Smart Transportation management system and suggest the essentials of such a system, what components are necessary to get such a system running effectively and what management issues are at stake. To prepare the paper, a literature study was made and case studies carried out in companies and organizations that are included in advanced Transportation setups including infrastructure providers, carriers, truck manufacturers, software providers, shippers, and more. The main findings of the study is a model that suggests three major components of Smart Transportation management, namely Smart goods, Smart vehicles and finally Smart infrastructure. The functional requirements of each component are developed and described. The paper suggests a framework for Smart Transportation management that are useful when studying more advanced Transportation management systems, the functions that need to be supported and the technology that need to be supported.

Nam Ky Giang - One of the best experts on this subject based on the ideXlab platform.

  • DIVANet@MSWiM - On Developing Smart Transportation Applications in Fog Computing Paradigm
    Proceedings of the 6th ACM Symposium on Development and Analysis of Intelligent Vehicular Networks and Applications, 2016
    Co-Authors: Nam Ky Giang, Victor C. M. Leung, Rodger Lea
    Abstract:

    Smart Transportation applications by nature are examples of Vehicular Ad-hoc Network (VANETs) applications where mobile vehicles, roadside units and Transportation infrastructure interplay with one another to provide value added services. While there are abundant researches that focused on the communication aspect of such Mobile Ad-hoc Networks, there are few research bodies that target the development of VANET applications. Among the popular VANET applications, a dominant direction is to leverage Cloud infrastructure to execute and deliver applications and services. Recent studies showed that Cloud Computing is not sufficient for many VANET applications due to the mobility of vehicles and the latency sensitive requirements they impose. To this end, Fog Computing has been proposed to leverage computation infrastructure that is closer to the network edge to compliment Cloud Computing in providing latency-sensitive applications and services. However, applications development in Fog environment is much more challenging than in the Cloud due to the distributed nature of Fog systems. In this paper, we investigate how Smart Transportation applications are developed following Fog Computing approach, their challenges and possible mitigation from the state of the arts.

  • On Developing Smart Transportation Applications in Fog Computing Paradigm
    Proceedings of the 6th ACM Symposium on Development and Analysis of Intelligent Vehicular Networks and Applications - DIVANet '16, 2016
    Co-Authors: Nam Ky Giang, Victor C. M. Leung, Rodger Lea
    Abstract:

    Smart Transportation applications by nature are examples of Vehicular Ad-hoc Network (VANETs) applications where mobile vehicles, roadside units and Transportation infrastructure interplay with one another to provide value added services. While there are abundant researches that focused on the communication aspect of such Mobile Ad-hoc Networks, there are few research bodies that target the development of VANET applications. Among the popular VANET applications, a dominant direction is to leverage Cloud infrastructure to execute and deliver applications and services. Recent studies showed that Cloud Computing is not sufi- cient for many VANET applications due to the mobility of vehicles and the latency sensitive requirements they impose. To this end, Fog Computing has been proposed to leverage computation infrastructure that is closer to the network edge to compliment Cloud Computing in providing latencysensitive applications and services. However, applications development in Fog environment is much more challenging than in the Cloud due to the distributed nature of Fog systems. In this paper, we investigate how Smart Transportation applications are developed following Fog Computing approach, their challenges and possible mitigation from the state of the arts. {\copyright} 2016 ACM.

  • Towards mobility-as-a-service to promote Smart Transportation
    2015 IEEE 82nd Vehicular Technology Conference VTC Fall 2015 - Proceedings, 2016
    Co-Authors: Xiping Hu, Johnny Shen, Nam Ky Giang, Victor C. M. Leung, Xitong Li
    Abstract:

    In this paper, we present a mobility cloud platform called CarCloud that has been designed to facilitate the real-world deployment of ubiquitous mobile telematic applications to promote Smart Transportation. CarCloud leverages the mobility, sensing and communication capacities of mobile devices, and collaborates with sensors embedded in vehicles (e.g., accessed via OBD-II) and cloud services to form a seamless platform. This platform orchestrates different mobility data in Transportations to REST web service based mobility services that could be used for different mobile telematic applications (e.g., enabling traffic managers to monitor the behaviors of drivers) in intelligent Transportation systems (ITS). Prototype implementation and preliminary experiments demonstrate the desired functionality of CarCloud for ITS and its feasibility for real-world deployment.

  • VTC Fall - Towards Mobility-as-a-Service to Promote Smart Transportation
    2015 IEEE 82nd Vehicular Technology Conference (VTC2015-Fall), 2015
    Co-Authors: Nam Ky Giang, Johnny Shen, Victor C. M. Leung
    Abstract:

    In this paper, we present a mobility cloud platform called CarCloud that has been designed to facilitate the real-world deployment of ubiquitous mobile telematic applications to promote Smart Transportation. CarCloud leverages the mobility, sensing and communication capacities of mobile devices, and collaborates with sensors embedded in vehicles (e.g., accessed via OBD-II) and cloud services to form a seamless platform. This platform orchestrates different mobility data in Transportations to REST web service based mobility services that could be used for different mobile telematic applications (e.g., enabling traffic managers to monitor the behaviors of drivers) in intelligent Transportation systems (ITS). Prototype implementation and preliminary experiments demonstrate the desired functionality of CarCloud for ITS and its feasibility for real-world deployment.

Shameek Bhattacharjee - One of the best experts on this subject based on the ideXlab platform.

  • Smart Transportation delay and resiliency testbed based on information flow of things middleware
    IEEE International Conference on Smart Computing, 2019
    Co-Authors: Jose Paolo Talusan, Francis Tiausas, Keiichi Yasumoto, Michael Wilbur, Geoffrey Pettet, Abhishek Dubey, Shameek Bhattacharjee
    Abstract:

    Edge and Fog computing paradigms are used to process big data generated by the increasing number of IoT devices. These paradigms have enabled cities to become Smarter in various aspects via real-time data-driven applications. While these have addressed some flaws of cloud computing some challenges remain particularly in terms of privacy and security. We create a testbed based on a distributed processing platform called the Information flow of Things (IFoT) middleware. We briefly describe a decentralized traffic speed query and routing service implemented on this framework testbed. We configure the testbed to test countermeasure systems that aim to address the security challenges faced by prior paradigms. Using this testbed, we investigate a novel decentralized anomaly detection approach for time-sensitive distributed Smart Transportation systems.

  • SmartCOMP - Smart Transportation Delay and Resiliency Testbed Based on Information Flow of Things Middleware
    2019 IEEE International Conference on Smart Computing (SMARTCOMP), 2019
    Co-Authors: Jose Paolo Talusan, Francis Tiausas, Keiichi Yasumoto, Michael Wilbur, Geoffrey Pettet, Abhishek Dubey, Shameek Bhattacharjee
    Abstract:

    Edge and Fog computing paradigms are used to process big data generated by the increasing number of IoT devices. These paradigms have enabled cities to become Smarter in various aspects via real-time data-driven applications. While these have addressed some flaws of cloud computing some challenges remain particularly in terms of privacy and security. We create a testbed based on a distributed processing platform called the Information flow of Things (IFoT) middleware. We briefly describe a decentralized traffic speed query and routing service implemented on this framework testbed. We configure the testbed to test countermeasure systems that aim to address the security challenges faced by prior paradigms. Using this testbed, we investigate a novel decentralized anomaly detection approach for time-sensitive distributed Smart Transportation systems.

Xitong Li - One of the best experts on this subject based on the ideXlab platform.

  • Towards mobility-as-a-service to promote Smart Transportation
    2015 IEEE 82nd Vehicular Technology Conference VTC Fall 2015 - Proceedings, 2016
    Co-Authors: Xiping Hu, Johnny Shen, Nam Ky Giang, Victor C. M. Leung, Xitong Li
    Abstract:

    In this paper, we present a mobility cloud platform called CarCloud that has been designed to facilitate the real-world deployment of ubiquitous mobile telematic applications to promote Smart Transportation. CarCloud leverages the mobility, sensing and communication capacities of mobile devices, and collaborates with sensors embedded in vehicles (e.g., accessed via OBD-II) and cloud services to form a seamless platform. This platform orchestrates different mobility data in Transportations to REST web service based mobility services that could be used for different mobile telematic applications (e.g., enabling traffic managers to monitor the behaviors of drivers) in intelligent Transportation systems (ITS). Prototype implementation and preliminary experiments demonstrate the desired functionality of CarCloud for ITS and its feasibility for real-world deployment.