1 © EURIDICE Consortium 2008 Kick Off Meeting Island of San Servolo - Venice, Italy 11th to 13th February 2008 Euridice Project Overview Paolo Paganelli.

1© EURIDICE Consortium 2008

Kick Off Meeting

Island of San Servolo - Venice, Italy11th to 13th February 2008

Euridice Project Overview

Paolo PaganelliInsiel

2© EURIDICE Consortium 2008 P. Paganelli, Insiel -11/2/2008

Agenda● Vision● Objectives● Approach● Workplan overview


Some words about the acronym● It has not been chosen for its mythological meaning or appeal

● or lack of appeal. At the proposal beginning a potential partner said: “it has a nice sound, but a sinister meaning for a transport project”.

● ..they stayed potential.● It as been chosen because of I.D. and the I.C.

● Inter-Disciplinary research● on Intelligent Cargo

● We started from two basic considerations:● There are technology developments out there that could bring about

a paradigm reversal in logistics: making the cargo itself an active part of the information flow.

● To bring about this change, different disciplines must be involved: various branches of ICT, logistics, economics and business modelling.


The Intelligent Cargo vision“In five years time, most of the goods flowing through European freight corridors will be ‘intelligent’, i.e.: self-aware, context-aware and connected through a global telecommunication network to support a wide range of information services for logistic operators, industrial users and public authorities.”

● Self-awareness means the ability of cargo to interact with the surrounding environment to actively notify its presence, identity and requirements. An intelligent cargo item will be an active provider of information services, notifying to the interested users and systems its details, position and related events as they occur.

● Context-awareness means intelligent ad hoc combination of information from all the involved stakeholders (shippers, logistic services providers, infrastructures and authorities), based on the current cargo position and status. An intelligent cargo item will “understand” its context in terms of interacting entities (vehicle, user, infrastructure), related information services and available combinations of services to solve specific user needs.

● Connectivity of moving goods means their constant availability as service consumers or providers by exploiting at need the mobile and fixed network infrastructures available along the route. Integration of intelligent cargo into service oriented architectures including mobile user and vehicle devices will make freight control virtually ubiquitous.


How it should work

RFID

Car

rier

Ser

vice

s

Site services

Vehicl

e

Servic

es

Mobile U

ser

services

Positioning

Services

GPS,Galileo

Car

rier

Ser

vice

s

Shipper servi

ces Infrastructure

Services

Producer services

Public Authorities services

Example: Check/Inspectionat land terminal

RFID

Car

rier

Ser

vice

s

Site services

Vehicl

e

Servic

es

Mobile U

ser

services

Positioning

Services

GPS,Galileo

Car

rier

Ser

vice

s

Shipper servi

ces Infrastructure

Services

Producer services

Public Authorities services

Certify originand transit rights

Identify shipment

Qualify content

Verify customs authorisationsCargo-centric Information

Services InfrastructureUser and context

specific interaction

ServicesCombination

on the fly


How it is done● Cargo Connectivity is realized by adapting and integrating state-of-the-art identification, communication

and networking technology into an Intelligent Cargo Integration Framework (ICIF), including:● Identification through RFID tags readers/writers or barcode readers.● Positioning through GNSS (GPS or Galileo) devices, as well as GPRS-based localization. ● Mobile devices embedded into a network infrastructure that host local services for identification, data observation and

manipulation.● Middleware architecture including proxy functionality for information system backbone and data interchange.● Security infrastructure.● Flexible mobile radio transceiver by means of software defined radio technologies.

● Cargo Intelligence (CI) services and technologies for gathering, storing, analyzing, and providing access to cargo data to help users make better decisions. CI applications support the activities of centralized and distributed decision support based on:

● Semantic web and domain ontologies, for automated knowledge discovery and identification of services associated to any specific cargo item, context and user request.

● Advanced context technologies, for combination of item, vehicle and user IDs with automatically-detected conditions like, e.g., position and status of cargo.

● Distributed intelligent agents, for optimisation, anomaly and threats detection (alerting) and distributed real-time decisions support.

● Analysis of collected cargo data based on deep and shallow reasoning methods, query and reporting, online analytical processing (OLAP), statistical analysis, data, text and web mining, time series analysis for forecasting and trend detection, complex visualisation and reporting.

● Cargo Services Infrastructure is realized by adapting current SOA standards to the specific needs of moving goods and cargo communities, including:

● Mobile and fixed services support, allowing hybrid setup of mobile (field user) and fixed (back-office, 3rd party) use cases,

● Infrastructure services, supporting scalability, for infrastructure setups of different shapes and sizes, and wireless connectivity, for virtual omnipresence of cargo identification, context information and the related information services.

● Orchestration, supporting the combination of services for specific cargo management scenarios.


Architecture starting point

MobileDevice

CargoItem

Vehicle

Fie

ld U

sers

Bac

k-of

fice

Use

rs

Stakeholders Systems

Industry(ERP, SCM,SCE, WMS)

LogistcOperators

(Transportation Planning,Monitoring, Track & Trace)

Authorities& Infrastructures

(Control, AuthorizationTerminal Management)

Mob

ile A

pplic

atio

ns

Cargo Connectivity

Cargo Intelligence

Services Platform

RFID Rx / Tx GNSS Rx GPRS Rx/Tx WLAN Rx/Tx

short range (ZigBee, WiBree)

Software-definedRadio Technologies

Context Determination Knowledge Discovery

Authentication& Authorisation

Security

OrchestrationInfrastructure servicesFixed servicesMobile services

Car

goA

gent

s

Distributed data analysis ..

..


Euridice Impact Objectives● Enhanced and widespread capability to monitor, trace and

safely handle moving goods at the required level of detail, from full shipments to individual packages or items.

● Increased efficiency of transportation networks, by improving synchronization between logistic users, operators and control authorities.

● Improved sustainability of logistic systems, by reducing their impact on local communities in terms of traffic congestion and pollution.


Euridice Scientific and Technological Objectives● Obj 1.1: To provide a pan-European ICT infrastructure for intelligent

cargo items and mobile users to be identified, localized and connected through local and distributed communication facilities.

● Obj 1.2: To provide a fixed and mobile web services infrastructure for public and private stakeholders to access and use the information they need on a cargo item at any point along its route across European corridors, connecting the cargo with back-office and field staff.

● Obj 1.3: To provide for “on the fly” combination of services to address specific user/cargo/context interactions based on the concept of service oriented architectures.

● Obj 1.4: To provide for intelligent cargo solutions based on distributed and centralized data gathering, detection, analysis and prediction tools.

● Obj 1.5: To provide for an interoperability platform allowing the main actors on the field to expose and use intelligent cargo information services by linking these to their information systems.


Euridice Business and Societal Objectives● Obj 2.1: To realize more flexible and efficient supply chains

through the integration of intelligent cargo concepts into leading logistic operators and industrial organizations.

● Obj 2.2: To increase the efficiency, transparency and cost-effectiveness of intermodal transport.

● Obj 3.1: To provide the necessary business models for an intelligent cargo infrastructure to be established, sustained and fed with appropriate information.

● Obj 3.2: To realize more secure and environment friendly transport chains through the adoption of intelligent cargo to support modal shift and door-to-door intermodal services.


Project Structure

Dissemina-tion and

Outreach(WP33)

Framework Architecture

(WP11)

P1 Intelligent Cargo Integration Framework

Domain Knowledge

(WP12)

Services Authoring, Orchestra-tion (WP14)

P3 Impact Creation

P0 Program Management, Coordination, Performance Monitoring

P2 Pilot Applications

Industry/Distribution applications (WP23)

Business Modelling

(WP31)

Training(WP32)

Exploitation(WP34)

Cargo Intelligence

(WP13)

Obj 1.1 Network infrastructure for intelligent cargo

Obj 1.2 Fixed and mobile web services infrastructure

Obj 1.3 "On the fly" combination of services for cargo/context interaction

Bu

sin

ess

and

So

cie

tal

Ob

jec

tiv

es

Pilo

ts A

sses

smen

t (W

P22

)

Obj 2.1 More flexible and efficient supply chains

Obj 2.2 More efficient, transparent and cost-effective intermodal transport

Obj 3.1 Public-private partnership models for intelligent cargo infrastructure

Intermodal transport (WP24)

Logistic Operators (WP25)

Authorities and Infrastructures (WP26)Obj 3.2 More secure and environment friendly transport chains

Pla

tform

Inte

gra

tion

(WP

21)

Obj 1.5 Interoperability platform for intelligent cargo users

Obj 1.4 Distributed and centralized analysis, prediction and detection

S/T

Ob

jec

tiv

es


Concurrent development approach between P1 and P2

General EURIDICE

requirements

Intelligent Cargo

Integration Framework

Pilots in operation

(start without EURIDICE)

Existing technology solutions

WP11High-level

Architecture

WP11Conceptual Integration

WP11Architecture

Decomposition

WP12Technology

DevelopmentsWP13Technology

DevelopmentsWP14Technology

Developments

WP11

Evaluation and

Guidance

P1 P2

WP21Platform

Integration

WP26Authorities Infrastruct.WP25

Logistic operatorWP24

Intermodal transportWP23

Industrial applications

WP22pilot cross case

analysis

Concept &Technology Domain

Competitiveness & Innovation Impact

Result (with EURIDICE)

WP

22 F

eedb

ack

/ inf

orm

atio

n

man

agem

ent

WP22Pilots preparation

& assessment

Pro

gre

ss

/ T

ime

Pro

gre

ss

/ T

ime


Milestones and results (months 1 to 18)Mile-stoneNo.

Milestone NameWorkpa-ckage(s)Involved

Lead benefi-ciary

Delivery date

Means of verification

M6 Project foundations WP11, WP12, WP22, WP23,

WP24, WP25, WP26Insiel

Month 6

Availability and evaluation of:-High level architecture overview.-Knowledge sources in the transportation and connected logistics domains.-Plan of pilot experimentation and assessment-Pilot Scenarios descriptions.

M12Technical and business context characterization

WP12, WP13, WP14, WP22, WP31

SingularLogic Month 12

Availability and evaluation of:-Data sources definition.-Wireless Connectivity Characterisation.-EURIDICE Context Model.-Pilots assessment methodology.-Analysis of pilot business models.

M18Architectural and methodological framework.

WP11, WP12, WP13, WP14, WP21, WP22, WP23, WP24, WP25, WP26

LogicaCMG

Month 18

Availability and evaluation of:-detailed architecture and platform integration guidelines.-Data gathering, cleaning, fusion and pre-processing prototypes.-Mobile, Fixed, System and Communication Services Definition.-EURIDICE Methodological Framework.-Formalised Domain Knowledge.-Pilots assessment and final requirements.


Milestones and results (months 19 to 36)Mile-stoneNo.

Milestone NameWorkpa-ckage(s)Involved

Lead benefi-ciary

Delivery date

Means of verification

M24 Frameworkcomponents release

WP11, WP12,WP13, WP14,WP21, WP23, WP24, WP25, WP26, WP31,

WP32

Insiel Month 24

Availability and evaluation of:-Intelligent Cargo conceptual framework and interoperability platform.-Data-mining, web-mining, text-mining and offline anomalies detection prototypes.-Technologies for Wireless Connectivity, Services and Orchestration.-Basic user applications and integrated platform first release.-EURIDICE Data Models.-Pilot applications design.-Reference business models.-Training modules and internal training workshops.

M30 Demonstrators

WP13, WP21, WP23, WP24,WP25, WP26,WP32, WP34

Insiel Month 30

Availability and evaluation of:-Advanced user applications and integrated platform final release.-Pilot demonstrator systems.-Public training workshops.-EURIDICE Exploitation Workshops.

M36Validated results and way forward

WP22, WP23, WP24, WP25, WP26, WP31, WP32, WP33,

WP34

CeTIM Month 36

Availability and evaluation of:-Pilots final assessment and validated methodologies and subsystems.-Pilot feedback and evaluation.-Business models validation results.-Training evaluation.-EURIDICE closing event at international conference.-Joint and Single Exploitation Plans.


Project GANTT (1/2)


Project GANTT (2/2)


Conclusions● Strengths

● Strong competencies in the consortium, including technology leaders.● Multi-disciplinary approach.

● Weaknesses● Complex workplan.● Challenging objectives.

● Opportunities● Key technology progresses in areas related to EURIDICE.● Attention paid by important business and government players.

● Threats● Mismatch between different visions of the project: our success depends on both user

value and technology innovation.

“Value without innovation works on an incremental scale .. not sufficient to make you stand out in the marketplace.Innovation without value tends to be technology-driven .. often shooting beyond what buyers are ready to accept and pay for.” Kim, W. Chan, Mauborgne, R., « Blue Ocean Strategy », Harward Business School Press, 2005

1 © EURIDICE Consortium 2008 Kick Off Meeting Island of San Servolo - Venice, Italy 11th to 13th February 2008 Euridice Project Overview Paolo Paganelli.

Documents

euridice consortium

intelligent cargo vision

intelligent cargo item

cargo connectivity

ability of cargo

related information

current cargo position

local services