2 1 The innovative transport systems and the CityMobil project 10 1.1 The research questions 10 2 The state of art in the field of automatic transport systems 12 2.1 Case studies and demand studies for innovative transport systems 12 3 The design and implementation of surveys 14 3.1 Definition of experimental design 14 3.2 Questionnaire design and delivery 16 3.3 First analyses on the collected sample 18 4 Calibration of Logit Multionomial demand models 21 4.1 Methodology 21 4.2 Calibration of the “full” model. 22 4.3 Calibration of the “final” model 24 4.4 The demand analysis through the final Multinomial Logit model 25 5 The analysis of interaction between the demand and socioeconomic attributes 31 5.1 Methodology 31 5.2 Application of Mixed Logit models to the demand 31 5.3 Analysis of the interactions between demand and socioeconomic attributes through Mixed Logit models 32 5.4 Mixed Logit model and interaction between age and the demand for the CTS 38 5.5 Demand analysis with Mixed Logit model 39 6 Final analyses and conclusions 45 6.1 Comparison between the results of the analyses 45 6.2 Conclusions 48 6.3 Answers to the research questions and future developments 52

The European commission

From the Publisher:
An agent is an entity with domain knowledge, goals and actions. Multi-agent systems are a set of agents which
interact in a common environment. Multi-agent systems deal with the construction of complex systems involving multiple agents and their coordination. A multi-agent system (MAS) is a distributed computing system with
autonomous interacting intelligent agents that coordinate their actions so as to achieve its goal(s) jointly or competitively.

Introduction to Multiagent Systems

Home PURPOSE OF THE CENTER: To develop the center to address state-of-the-art research, create innovating educational programs, and support technology transfers using commercially viable results to assist the Army Research Laboratory to develop the next generation Future Combat System in the telecommunications sector that assures prevention of perceived threats, and Non Line of Sight/Beyond Line of Sight lethal support.

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Multi-access edge computing (MEC) is an emerging ecosystem, which aims at converging telecommunication and IT services, providing a cloud computing platform at the edge of the radio access network MEC offers storage and computational resources at the edge, reducing latency for mobile end users and utilizing more efficiently the mobile backhaul and core networks This paper introduces a survey on MEC and focuses on the fundamental key enabling technologies It elaborates MEC orchestration considering both individual services and a network of MEC platforms supporting mobility, bringing light into the different orchestration deployment options In addition, this paper analyzes the MEC reference architecture and main deployment scenarios, which offer multi-tenancy support for application developers, content providers, and third parties Finally, this paper overviews the current standardization activities and elaborates further on open research challenges

/pdf/on-multi-access-edge-computing-a-survey-of-the-emerging-5g-q09cwte3qi.pdf

On Multi-Access Edge Computing: A Survey of the Emerging 5G Network Edge Cloud Architecture and Orchestration

The technologies, architectures, and methodologies traditionally used to develop distributed applications exhibit a variety of limitations and drawbacks when applied to large scale distributed settings (e.g., the Internet). In particular, they fail in providing the desired degree of configurability, scalability, and customizability. To address these issues, researchers are investigating a variety of innovative approaches. The most promising and intriguing ones are those based on the ability of moving code across the nodes of a network, exploiting the notion of mobile code. As an emerging research field, code mobility is generating a growing body of scientific literature and industrial developments. Nevertheless, the field is still characterized by the lack of a sound and comprehensive body of concepts and terms. As a consequence, it is rather difficult to understand, assess, and compare the existing approaches. In turn, this limits our ability to fully exploit them in practice, and to further promote the research work on mobile code. Indeed, a significant symptom of this situation is the lack of a commonly accepted and sound definition of the term mobile code itself. This paper presents a conceptual framework for understanding code mobility. The framework is centered around a classification that introduces three dimensions: technologies, design paradigms, and applications. The contribution of the paper is two-fold. First, it provides a set of terms and concepts to understand and compare the approaches based on the notion of mobile code. Second, it introduces criteria and guidelines that support the developer in the identification of the classes of applications that can leverage off of mobile code, in the design of these applications, and, finally, in the selection of the most appropriate implementation technologies. The presentation of the classification is intertwined with a review of state-of-the-art in the field. Finally, the use of the classification is exemplified in a case study.

/pdf/understanding-code-mobility-1wdaf22ju4.pdf

Understanding code mobility

This chapter discusses the challenges for machine-to-machine (M2M) mobility management. Connecting a broad range of physical objects requires varying levels of mobility support in M2M networks, due to the nature of connected objects (being humans, cars, robots, etc.). The chapter first reviews the connectivity requirements of the same M2M use cases and existing connectivity infrastructure. The chapter then presents state-of-the-art solutions based on existing networking technologies to support mobility of M2M nodes.

Mobility management for machine-to-machine (M2M) communications

Social communities are emerging as cloud-based service platforms for communities that also offer communication channels to their users. At the same time, modern telecommunications providers are currently seeking for new sources of revenue by exposing network capabilities to 3rd party providers. Moreover, both mobility and the possibility to access services anyhow, anywhere and at any time are becoming the user's pre-requisites for next generation services. By combining these concepts, it becomes clear that mobile social communities will play a predominate role in our society. This paper presents Mediacast, an innovate service that on the one hand allows users to share and consume multimedia within web social community environments using their mobiles and on the other hand promotes collaboration by providing a set of communication tools for hybrid (web/mobile) communities.

Mediacast for mobile communities: When the web and telecommunications converge

The convergence of telecommunication and Web 2.0 services is leading to new opportunities for the telecommunications market. Companies are looking for ways to include their services in Web 2.0 applications. Predictions suggest that future telecommunication networks will be based on the IP Multimedia Subsystem (IMS), an all IP telecommunication core network. This paper describes an approach to combining Web 2.0 enabled applications, namely widgets, with telecommunication features using IMS. Widgets are small applications based on Web technologies that run on the client device. A new abstraction layer with interfaces for the different telecommunication features will be introduced. In addition a widget engine that makes these telecommunication interfaces available to its widgets will be presented. This will allow the rapid development of IMS applications for external developers and the combination of other Web 2.0 services with IMS features.

A Base Solution for Exposing IMS Telecommunication Services to Web 2.0 Enabled Applications

Mobility in a wireless heterogeneous scenario in which the mobile devices are able to connect to more than one access technology available in their vicinity requires a re-consideration of the access network reselection mechanisms as to ensure seamless handovers for real deployments This paper describes and evaluates a new proactive vertical handover optimization which enables a fast reselection, independent and in addition to the classic proactive procedures It uses as central concept the separation between the proactive context establishment and the actual handover triggered operations which may be at their turn active or proactive This concept is exemplified on the 3GPP Evolved Packet Core and evaluated on a minimal prototype implementation

Proactive Vertical Handover Optimizations in the 3GPP Evolved Packet Core

The recent deployment of LTE and IMS networks was not always beneficial. It also introduced new challenges for mobile network operators, researchers and industry experts. To be more precise, the dominant usage of the Diameter protocol in mobile signaling networks is getting increasing consideration in terms of interoperability, scalability and security. This paper briefly presents significant efforts to mitigate such challenges. Moreover, a new testbed for testing, evaluating the usage of Diameter in LTE-IMS mobile networks is introduced. In the testbed, the main components are either implemented by ourselves or collected from existing open source software solutions. By using a generic approach for Diameter provisioning, the testbed is open to new components and new Diameter applications.

http://ieeexplore.ieee.org/iel5/6335511/6347558/06347590.pdf

Thomas Magedanz

Papers

Mobility management for machine-to-machine (M2M) communications

Mediacast for mobile communities: When the web and telecommunications converge

A Base Solution for Exposing IMS Telecommunication Services to Web 2.0 Enabled Applications

Proactive Vertical Handover Optimizations in the 3GPP Evolved Packet Core

An open testbed for diameter networks