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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Francis Marco Maria Cirianni; Antonio Comi; Agata Quattrone;

    The application of artificial intelligence (AI) to dynamic mobility management can support the achievement of efficiency and sustainability goals. AI can help to model alternative mobility system scenarios in real time (by processing big data from heterogeneous sources in a very short time) and to identify network and service configurations by comparing phenomena in similar contexts, as well as support the implementation of measures for managing demand that achieve sustainable goals. In this paper, an in-depth analysis of scenarios, with an IT (Information Technology) framework based on emerging technologies and AI to support sustainable and cooperative digital mobility, is provided. Therefore, the definition of the functional architecture of an AI-based mobility control centre is defined, and the process that has been implemented in a medium-large city is presented.

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    Article . 2023 . Peer-reviewed
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    Authors: Susan Shaheen; Joe Naoum-Sawaya; Emanuele Crisostomi;
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    Frontiers in Sustainable Cities
    Article . 2022 . Peer-reviewed
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      Frontiers in Sustainable Cities
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    Authors: Viergutz, Kathrin Karola; Brinkmann, Florian;
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  • Authors: HO, MUN CHON;

    The effectiveness of traffic management strategies is essential in reducing traffic congestion. Developing an effective traffic management strategy using traffic simulation involves calibration of the simulator parameters and evaluating the traffic management strategy. This thesis enhances both parts of the development process. With better calibration efficiency, practitioners can analyse traffic scenarios with a lower computational budget. In terms of traffic management, a unified framework which combines vehicle rerouting and traffic light control strategies is proposed in this thesis to reduce traffic congestion.

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  • Authors: Panraphee Raphiphan; Arkady Zaslavsky; Passakon Prathombutr; Phayung Meesad;

    Estimating the degree of traffic congestion at run time is crucially important for Intelligent Transportation Systems (ITS) especially when selecting travel routes. One of the challenges when using a mobile sensor (e.g. mobile phone, GPS) as source of traffic data stems from its mobility. This paper proposes a novel approach to fusing mobile data and an algorithm for traffic congestion estimation to compensate intermittent available mobile sensors. Furthermore, our proposed model is also tolerant to incomplete data and it is open to any type of sensors. This approach differs from other traffic congestion estimation techniques in that it utilizes discoverable context even on sensorless road segments in real time instead of entirely relying on a sensor-based data of observed road segment. Implementation and validation through extensive experimentation with real data confirms feasibility of the proposed approach.

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    Authors: Goodyer, E. N.;
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ De Montfort Universi...arrow_drop_down
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    Authors: Lee, A. J.; Pelechrinis, K.; Zeinalipour-Yazdi, Constantinos D.; Lee, A. J.; +2 Authors

    The advent of mobile computing and sensing technologies, in conjunction with omni-present and high-speed mobile networks, allow nowadays the capture of human mobility data at an extremely high fidelity. Modern mobile computing services not only have the capacity to store spatio-temporal mobile data, these nowadays also have the capability to process incoming data in near-real time. As a result, we have a better chance to develop effective strategies and build intelligent systems that play critical roles in areas like public health, traffic engineering, urban planning and economic forecasting. On the other hand, detailed movement data often poses a threat to the privacy and security of users and companies, given that mobile devices are associated with real human custodians. One fundamental question is whether human mobility computing and privacy can co-exist under the same roof, given different cultural, religious, legal, technological and socio-economic backgrounds of societies. This panel will explore how the academia and industry are tackling human mobility computing and privacy challenges at a global scale. It will also identify and debate the key challenges and opportunities, in terms of applications, queries, architectures, to which the mobile data management community should contribute. © 2015 IEEE. 2 42 43 Sponsors: Aalborg University et al. IEEE Computer Society IEEE Technical Committee on Data Engineering The National Science Foundation University of Pittsburgh Conference code: 118117

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    https://doi.org/10.1109/mdm.20...
    Conference object . 2015 . Peer-reviewed
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      https://doi.org/10.1109/mdm.20...
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    Authors: Staricco, Luca;
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    Publications Open Repository TOrino
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    Authors: Kanižaj, Krešimir;

    In this thesis, advantages of the use of mobile applications in urban passenger transport are described. The thesis contains analysis of existing mobile applications in the city of Zagreb, examples of good practice in European cities and EU guidelines. Based on that it will be possible to define the possibility of development and release of a travel planning mobile application that takes into account all available means of transportation in the city of Zagreb. The mobile application would provide travel suggestions depending on passenger's preferences and real-time traffic conditions. U ovom diplomskom radu opisane su prednosti primjene mobilnih aplikacija u gradskom prijevozu putnika. Na temelju analize postojećih mobilnih aplikacija u Gradu Zagrebu, primjera dobre prakse u gradovima Europske Unije i prateći smjernice Europske Unije moći će se definirati mogućnost uvođenja mobilne aplikacije za planiranje putovanja koja bi uzela u obzir sve dostupne načine prijevoza u radu Zagrebu. Aplikacija bi davala prijedloge ruta putovanja ovisno o preferencijama putnika i stanju u prometu u stvarnom vremenu.

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    Authors: Semanjski, Ivana;

    The Eleventh International Conference on Data Analytics (DATA ANALYTICS 2022), held between November 13 and November 17, 2022, continued the series on fundamentals in supporting data analytics, special mechanisms and features of applying principles of data analytics, application-oriented analytics, and target-area analytics. Processing of terabytes to petabytes of data, or incorporating non-structural data and multistructured data sources and types require advanced analytics and data science mechanisms for both raw and partially-processed information. Despite considerable advancements on high performance, large storage, and high computation power, there are challenges in identifying, clustering, classifying, and interpreting of a large spectrum of information. The conference had the following tracks:  Application-oriented analytics  Big Data  Sentiment/opinion analysis  Data Analytics in Profiling and Service Design  Fundamentals  Mechanisms and features  Predictive Data Analytics  Transport and Traffic Analytics in Smart Cities

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    Authors: Francis Marco Maria Cirianni; Antonio Comi; Agata Quattrone;

    The application of artificial intelligence (AI) to dynamic mobility management can support the achievement of efficiency and sustainability goals. AI can help to model alternative mobility system scenarios in real time (by processing big data from heterogeneous sources in a very short time) and to identify network and service configurations by comparing phenomena in similar contexts, as well as support the implementation of measures for managing demand that achieve sustainable goals. In this paper, an in-depth analysis of scenarios, with an IT (Information Technology) framework based on emerging technologies and AI to support sustainable and cooperative digital mobility, is provided. Therefore, the definition of the functional architecture of an AI-based mobility control centre is defined, and the process that has been implemented in a medium-large city is presented.

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    Authors: Susan Shaheen; Joe Naoum-Sawaya; Emanuele Crisostomi;
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    Frontiers in Sustainable Cities
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    Authors: Viergutz, Kathrin Karola; Brinkmann, Florian;
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  • Authors: HO, MUN CHON;

    The effectiveness of traffic management strategies is essential in reducing traffic congestion. Developing an effective traffic management strategy using traffic simulation involves calibration of the simulator parameters and evaluating the traffic management strategy. This thesis enhances both parts of the development process. With better calibration efficiency, practitioners can analyse traffic scenarios with a lower computational budget. In terms of traffic management, a unified framework which combines vehicle rerouting and traffic light control strategies is proposed in this thesis to reduce traffic congestion.

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  • Authors: Panraphee Raphiphan; Arkady Zaslavsky; Passakon Prathombutr; Phayung Meesad;

    Estimating the degree of traffic congestion at run time is crucially important for Intelligent Transportation Systems (ITS) especially when selecting travel routes. One of the challenges when using a mobile sensor (e.g. mobile phone, GPS) as source of traffic data stems from its mobility. This paper proposes a novel approach to fusing mobile data and an algorithm for traffic congestion estimation to compensate intermittent available mobile sensors. Furthermore, our proposed model is also tolerant to incomplete data and it is open to any type of sensors. This approach differs from other traffic congestion estimation techniques in that it utilizes discoverable context even on sensorless road segments in real time instead of entirely relying on a sensor-based data of observed road segment. Implementation and validation through extensive experimentation with real data confirms feasibility of the proposed approach.

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    Authors: Goodyer, E. N.;
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    Authors: Lee, A. J.; Pelechrinis, K.; Zeinalipour-Yazdi, Constantinos D.; Lee, A. J.; +2 Authors

    The advent of mobile computing and sensing technologies, in conjunction with omni-present and high-speed mobile networks, allow nowadays the capture of human mobility data at an extremely high fidelity. Modern mobile computing services not only have the capacity to store spatio-temporal mobile data, these nowadays also have the capability to process incoming data in near-real time. As a result, we have a better chance to develop effective strategies and build intelligent systems that play critical roles in areas like public health, traffic engineering, urban planning and economic forecasting. On the other hand, detailed movement data often poses a threat to the privacy and security of users and companies, given that mobile devices are associated with real human custodians. One fundamental question is whether human mobility computing and privacy can co-exist under the same roof, given different cultural, religious, legal, technological and socio-economic backgrounds of societies. This panel will explore how the academia and industry are tackling human mobility computing and privacy challenges at a global scale. It will also identify and debate the key challenges and opportunities, in terms of applications, queries, architectures, to which the mobile data management community should contribute. © 2015 IEEE. 2 42 43 Sponsors: Aalborg University et al. IEEE Computer Society IEEE Technical Committee on Data Engineering The National Science Foundation University of Pittsburgh Conference code: 118117

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    https://doi.org/10.1109/mdm.20...
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