The Experts below are selected from a list of 6933 Experts worldwide ranked by ideXlab platform

Chuantao Yin - One of the best experts on this subject based on the ideXlab platform.

  • Dynamic road lane management study : A Smart City Application
    Transportation Research Part E: Logistics and Transportation Review, 2016
    Co-Authors: Chen Wang, Bertrand David, René Chalon, Chuantao Yin
    Abstract:

    Our Smart City contribution is transportation-oriented in that it proposes a dynamic road lane management system in order to share appropriately the space devoted to traffic. After a historical view of a series of solutions from physical to ICT supported, we present our proposal extensively supported by up-to-date ICT. Following a main presentation, we describe the system architecture and its working conditions. Then, we present the proposed simulator designed to study operating and driver’s conditions with respect to the new traffic signs proposed. We also describe a Mock-up technology validation and give preliminary information on in-the-field deployment.

Mohammad Shahidehpour - One of the best experts on this subject based on the ideXlab platform.

Worldsensing Xavier Vilajosana Ignasi Vilajosana, Jordi Llosa, Borja Martinez, Ma - One of the best experts on this subject based on the ideXlab platform.

  • Bootstrapping Smart cities through a self-sustainable model based on big data flows
    IEEE Communications Magazine, 2013
    Co-Authors: Worldsensing Xavier Vilajosana Ignasi Vilajosana, Jordi Llosa, Borja Martinez, Ma
    Abstract:

    We have a clear idea today about the necessi- ty and usefulness of making cities Smarter, the potential market size, and trials and tests. How- ever, it seems that business around Smart Cities is having difficulties taking off and is thus run- ning short of projected potentials. This article looks into why this is the case and proposes a procedure to make Smart cities happen based on big data exploitation through the API stores concept. To this end, we first review involved stakeholders and the ecosystem at large. We then propose a viable approach to scale business within that ecosystem. We also describe the available ICT technologies and finally exemplify all findings by means of a sustainable Smart City Application. Over the course of the article, we draw two major observations, which are seen to facilitate sustainable Smart City development. First, independent Smart City departments (or the equivalent) need to emerge, much like today’s well accepted IT departments, which clearly decouple the political element of the improved City servicing from the underlying technologies. Second, a coherent three-phase Smart City rollout is vital, where in phase 1 utility and revenues are generated; in phase 2 only-util- ity service is also supported; and in phase 3, in addition, a fun/leisure dimension is permitted.

Chen Wang - One of the best experts on this subject based on the ideXlab platform.

  • Dynamic road lane management study : A Smart City Application
    Transportation Research Part E: Logistics and Transportation Review, 2016
    Co-Authors: Chen Wang, Bertrand David, René Chalon, Chuantao Yin
    Abstract:

    Our Smart City contribution is transportation-oriented in that it proposes a dynamic road lane management system in order to share appropriately the space devoted to traffic. After a historical view of a series of solutions from physical to ICT supported, we present our proposal extensively supported by up-to-date ICT. Following a main presentation, we describe the system architecture and its working conditions. Then, we present the proposed simulator designed to study operating and driver’s conditions with respect to the new traffic signs proposed. We also describe a Mock-up technology validation and give preliminary information on in-the-field deployment.

  • Dynamic Road Lane Management: A Smart City Application
    2014
    Co-Authors: Chen Wang, Bertrand David, René Chalon
    Abstract:

    The Smart City is an important field for ubiquitous computing (UC), ambient intelligence (AmI), connected vehicles (CV), and new styles of User Interfaces, mainly mobile. Data vitalization related to in-City data collection and their appropriate diffusion to City actors (private and professional) and their services (Applications) is one issue. In a more precise and specific context of a dynamic lane allocation system, which is presented in this paper, we describe the use of Location-Based services and Internet of Things in this system, as well as User Interfaces proposed. A simulation environment allows us to conduct an initial validation of the system and to study acceptability of User Interfaces before in-the-field deployment.

Cs Sidlo - One of the best experts on this subject based on the ideXlab platform.

  • crowdsending based public transport information service in Smart cities
    IEEE Communications Magazine, 2015
    Co-Authors: Karoly Farkas, Andras A Benczur, Gabor Feher, Cs Sidlo
    Abstract:

    Thanks to the development of technology and the emergence of intelligent services Smart cities promise to their inhabitants enhanced perception of City life. For example, a live timetable service of public transportation can increase the efficiency of travel planning substantially. However, its implementation in a traditional way requires the deployment of some costly sensing and tracking infrastructure. Mobile crowdsensing is an alternative, when the crowd of passengers and their mobile devices are used to gather data for almost free of charge. In this paper, we put the emphasis on the introduction of our crowdsensing based public transport information service, what we have been developing as a prototype Smart City Application. The front-end interface of this service is called TrafficInfo. It is a simple and easy-to-use Android Application which visualizes real-time public transport information of the given City on Google Maps. The lively updates of transport schedule information relies on the automatic stop event detection of public transport vehicles. TrafficInfo is built upon our Extensible Messaging and Presence Protocol (XMPP) based communication framework what we designed to facilitate the development of crowd assisted Smart City Applications. The paper introduces shortly this framework, than describes TrafficInfo in detail together with the developed stop event detector.

  • framework for Smart City Applications based on participatory sensing
    IEEE International Conference on Cognitive Infocommunications, 2013
    Co-Authors: Robert Szabo, Karoly Farkas, Marton Ispany, Andras A Benczur, Norbert Batfai, Peter Jeszenszky, Sandor Laki, Aniko Vagner, Lajos Kollar, Cs Sidlo
    Abstract:

    Smart cities offer services to their inhabitants which make everyday life easier beyond providing a feedback channel to the City administration. For instance, a live timetable service for public transportation or real-time traffic jam notification can increase the efficiency of travel planning substantially. Traditionally, the implementation of these Smart City services require the deployment of some costly sensing and tracking infrastructure. As an alternative, the crowd of inhabitants can be involved in data collection via their mobile devices. This emerging paradigm is called mobile crowd-sensing or participatory sensing. In this paper, we present our generic framework built upon XMPP (Extensible Messaging and Presence Protocol) for mobile participatory sensing based Smart City Applications. After giving a short description of this framework we show three use-case Smart City Application scenarios, namely a live transit feed service, a soccer intelligence agency service and a Smart campus Application, which are currently under development on top of our framework.