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.

How to… home page

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

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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

In today’s competitive business environment, operators seek to simplify their network topology in order to cut costs and create a convergent network infrastructure that is secure, easy to manage, always available, and capable of providing bandwidth to new multimedia service traffic loads and changing business needs. This paper gives an overview of broadband networks and how to provision services such as voice, which remains the main revenue generator for operators, on such networks.

/pdf/prototyping-convergence-services-on-broadband-networks-xsqg8lcowi.pdf

Prototyping Convergence Services on Broadband Networks

The rapid evolution of network technologies and the opening up of public networks in Europe and world wide have resulted in a variety of different concepts and models for the future telecommunication world. Looking for a functional model for the flexible and open provision of future telecommunication services, also referred as value added services, a thorough analysis of the different proposed models is required in order to understand the implications of these models and their relationships. The relevant models identified are the Open Network Provision framework, the Intelligent Network concept and the OSI Reference Model and related distributed processing standards, The present paper proposes a compound functional model based on the above mentioned models forming a general framework for the provision of future services. Focussing on Intelligent Networks the paper identifies the alternatives of opening this level of network infrastructure to competiting service providers.

Modelling Open Network Provision and Intelligent Networks

Harmonization of Heterogeneous Asset Administration Shells

In a method for managing a data path for a mobile entity (110) attached to a communication network, the communication network has a plurality of mobility binding entities (161, 162) for forwarding data traffic. A first mobility binding entity of the plurality of mobility binding entities (161, 162) is allocated to the data path for the mobile entity (110). In response to an update request for allocating mobility binding entity to the mobile entity (110), a second mobility binding entity of the plurality of mobility binding entities (161, 162) is allocated to the data path for the mobile entity (110). The allocation is based on at least one mobility parameter of the mobile entity (110).

Method for managing a data path, mobility controller and communication system

Existing telecommunications networks and classical roles of operators are subject to fundamental change. Many network operators are currently seeking for new sources to generate revenue by exposing network capabilities to third party service providers. At the same time we can observe that applications in the World Wide Web (WWW) are becoming more mature in terms of communications functionality and the definition of APIs that are offered towards other services. The combinations of those services are commonly referred to as Web 2.0 mash-ups. Rapid service design and creation becomes therefore important to meet the requirements in a changing technology and competitive market environment. This paper describes our approach to enable a service creation environment for complex, orchestrated real-time communications services through a service broker on top of Next Generation Networks (NGN) to combine the emerging web/telecommunications service space with existing network provider infrastructures.

Thomas Magedanz

Papers

Prototyping Convergence Services on Broadband Networks

Modelling Open Network Provision and Intelligent Networks

Harmonization of Heterogeneous Asset Administration Shells

Method for managing a data path, mobility controller and communication system

A platform for user generated multimedia communication services