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

Machine-to-Machine (M2M) communication technologies is emerging as one of the major trends shaping the development of services in the Future Internet sector. Additionally, cloud computing technologies have been utilized in building large-scale M2M systems, as they could potentially offer more advance solutions for managing data monitoring and service elasticity to support the needs of different consumers. Today, service providers are building a new eco-system with partner vendors to offer new innovative services for Smart Cities. From the users/applications perspective, three concepts aim to deliver Smart service: M2M communication, ubiquitous computing and ambient intelligence. In this paper we identify the requirements for centric service enablers to support the development of desired Smart Cities systems. Also the paper reviews the ongoing work in standardization organizations in this field. Providing standard interfaces to M2M platforms in a network independent way will allow applications deployment by 3rd party developers across variety of end user devices.

Towards Standard M2M APIs for Cloud-based Telco Service Platforms

Today distributed object technology/object-oriented middleware, such as OMG's Common Object Request Broker Architecture (CORBA), has gained considerable acceptance in the telecommunications systems. In addition, mobile agent technology is currently gaining momentum in the telecommunications domain, too. Up to now, various mobile agent platforms have been developed in academia and industry, which have been based on different programming languages and middleware. Furthermore most of these are designed for specific application areas. Hence in the last years mobile agent technology had to be regarded as another technology incompatible with current distributed object technology. Fortunately there is today a common understanding that mobile agent technology should be seen as an enhancement of distributed object technology rather than a replacement. The reason is that both technologies offer advantages in different aspects, which only collectively provide the maximum flexibility in application design. Therefore the OMG work on a Mobile Agent System Interoperability Facility (MASIF) specification, designed to enable the interoperability between different agent systems, can be regarded as a milestone on the road toward a unified distributed mobile object middleware, which enables technology and location transparent interactions between static and mobile objects. This paper introduces the basic features of the first available MASIF-conformant intelligent mobile agent platform-Grasshopper developed by GMD FOKUS and IKV++-and illustrates how this platform can be used to implement an MA-based IN environment. This paper represents a progress report on former research activities in this area.

A mobile agent platform for IN based service environments

The emerging notion of Active Networks describes the general vision of communication network evolution. In this context mobile agent (MA) technology and programmable switches are considered as enabling technologies. This paper presents an overview of the Grasshopper agent platform, developed by GMD FOKUS and IKV++ GmbH, which provides a powerful middleware for the implementation of MA-based telecommunication services, including active network applications. Apart from a general overview of the Grasshopper platform, we will briefly illustrate the usage of this platform for the short-term implementation of an Active Broadband Intelligent Network environment, which is currently realised within the ACTS project MARINE (Mobile Agent-based Intelligent Network Environment).

The Grasshopper Mobile Agent Platform Enabling Shortterm Active Broadband Intelligent Network Implementation

Cooperative management in open distributed systems

Mobile tracking system is used to monitor vehicles position and in special cases there are much useful information can be monitored such as speed, cabin temperature and number of passenger. This monitoring process is done using vehicle's position data from satellite through GPS device, and sending the data to a server through GSM modem. This paper proposes new approach on managing all vehicle data using Machine-to-Machine (M2M) communication form which Open Machine Type Communication (OpenMTC) as communication platform for aggregating and processing location data. As a result, the testing showed high accuracy level in transmitting the vehicles position and it can be showed in many devices.

Thomas Magedanz

Papers

Towards Standard M2M APIs for Cloud-based Telco Service Platforms

A mobile agent platform for IN based service environments

The Grasshopper Mobile Agent Platform Enabling Shortterm Active Broadband Intelligent Network Implementation

Cooperative management in open distributed systems

Mobile tracking system using OpenMTC platform based on event driven method