COOPERATIVE SYSTEM FOR INTERMODAL RAILROAD
OPERATIONS
Jukka Hemilä
VTT Technical Research Centre of Finland, Espoo, Finland
Keywords: Decision-support system, Intermodality, Intelligent Cargo.
Abstract: The research project EURIDICE (European Inter-Disciplinary Research on Intelligent Cargo for Efficient,
Safe and Environment-Friendly Logistics) focuses on the development of intelligent solutions for the
transport sector. The basic concept of EURIDICE is an information services platform centered on the
individual cargo item and its interaction with the surrounding environment and the user. EURIDICE has
promoted the Intelligent Cargo concept as a future solution for transport sector information needs. The
platform will be implemented and tested in eight industrial transport scenarios. This paper looks at one
scenario related to intermodal railroad operations. The paper presents the functionalities of the developed
cooperative system for intermodal railroad operations and the way end-users can use the system
environment in their operations.
1 INTRODUCTION
Intermodal transport is defined as “the movement of
goods in one and the same loading unit or vehicle
which uses successively two or more modes of
transport without handling of the goods themselves
in changing modes.” (United Nations, 2009) The
intermodal operator pilot of the EURIDICE project
deals with the transportation of goods in rail wagons
by rail and sea. The core business for the intermodal
operator is the effective utilization of the wagon
fleet. The intermodal operator pilot idea is to
enhance visibility of the wagon movements by
realizing the Intelligent Cargo concept. Status
information accompanies the cargo along the flow of
goods and enables interaction with the surrounding
environment and users. Intelligence is added from a
cargo point of view of being self-aware, context-
aware, and connected to reduce the operational
effort of handling goods at the right time, in the right
way. The final aim is a cargo-centric information
chain that offers automated end-to-end information
about the logistic supply chain based on existing
technologies and standards combined with
intermediating trusted third parties. The cargo
intelligence is realized at the wagon level of the
cargo hierarchy of the intermodal operator pilot.
2 METHODOLOGY
Research is based on the multiple case studies
according to Yin (Yin, R., 2003). A concrete
transport case is the basis for the analyses. The semi-
structured interviews with the transport process
stakeholders have been organized to collect
information about the processes and system
requirements. The system has been developed
according to the end-user system requirements, and
it will be implemented, tested, and evaluated
according to a common methodology for all eight
pilots. The final system environment will be
published after findings from the test period.
3 INTERMODAL WAGON FLEET
MANAGEMENT SYSTEM
An intermodal operator case is described by pilot
scenario number 6 in the EURIDICE White Paper
(EURIDICE White Paper, 2009). The main
objective is to clarify how ICT services support
efficient decision-making in intermodal wagon
operations, and three sub-objectives have been
defined as (Hemilä, J., 2010):
1. Facilitate the proposal of wagon selection
(Sub-objective 1). Automation of the wagon
247
Hemilä J..
COOPERATIVE SYSTEM FOR INTERMODAL RAILROAD OPERATIONS.
DOI: 10.5220/0003429002470249
In Proceedings of the 13th International Conference on Enterprise Information Systems (ICEIS-2011), pages 247-249
ISBN: 978-989-8425-54-6
Copyright
c
2011 SCITEPRESS (Science and Technology Publications, Lda.)
selection proposal on the base of the order
coming from legacy system and wagon
status, condition, position and prediction of
estimated time of arrival
2. Automated alerting and event information
about the wagon situation (Sub-objective 2).
Wagon sends the notification or alert if the
conditions inside the wagon are not within
the predefined limits, as well as to be able to
check other necessary measures concerning
the wagon.
3. Automated calculation of utilisation rates
(Sub-objective 3). The goal is to monitor
wagon utilization in order to have necessary
data for decision-making to, e.g. increase the
turnaround of the wagons.
In the development phase, we created the
software workflow to link each pilot sub-objective to
the software functions. The EURIDICE integrated
platform will have Horizontal Services for common
transport processes, such as cargo temperature
recording, deviation notification service, route
follow-up, etc. All the pilots then have several pilot-
specific EURIDICE Platform services that are only
used by individual end-users. The following
business use case model (Fig. 1) is described as a
proposal to increase the business performance of
intermodal operator by providing information to
optimise the utilisation of wagons. The following
actors are identified in business case:
Wagon; a participating wagon managed by
intermodal operator
Transport Manager; who manages/coordinates
the usage of wagons
ERP; the ERP system of intermodal operator
EPSA; The EURIDICE Pilot System
Application is developed over the EURIDICE
platform combining horizontal components
from the EURIDICE platform together with
user specific components to realise user
specific applications.
The first sub-objective deals with the automation of
the wagon selection proposal based on the order
coming from the legacy system and the wagon status
(reserved/unreserved and loaded/unloaded),
condition, position, and prediction of the estimated
time of arrival. Sub-objective 1 is realized with Use
Case 2 “Wagon selection” described in the public
project Deliverable D24.1 (EURIDICE Deliverable
D24.1, 2009). Wagons inform the Assisting
Transport manager Agent (ATA), agents described
in the public Deliverable D11.2 (EURIDICE
Figure 1: Business Use Case Model.
Deliverable D11.2, 2009), about their availability
(status, location, suitability) for the open orders. The
Assisting Transport manager Agent makes a
proposal on suitable wagons for the specific orders.
The transport coordinator confirms the proposed
selection of the wagon for the order. Sub-objective 2
“Automated alerting and event information about the
wagon situation” is realized with the use case
“Wagon definition and status monitoring.
(EURIDICE Deliverable D24.1, 2009) With this use
case, the wagons are identified, parameters for
wagon and transport are set, and automated
deviations notification manages deviations during
the process. The wagon sends the notification or
alert if the conditions inside the wagon are not
within the predefined limits and to allow checking of
other necessary measures concerning the wagon.
The wagon also alerts when a wagon is off the
predefined transportation route or the Estimated
Time of Arrival (ETA) is going to be changed. The
automated calculation of utilization rates, Sub-
objective 3, aims to analyze how efficiently wagons
have been used. The aim is to monitor wagon
utilization in order to have the necessary data for
decision-making, e.g., to increase the turnaround of
the wagons.
Many actors other than the intermodal operator
use the system environment. The actors in the pilot
application are the consignor, consignee, railroad
operators, port operators, and ferry operator. All the
actors can have access to the pilot application, and
the services available to them are wagon location
information, wagon status updates, and ETA
updates. The system aims to create full visibility of
the wagon movement for all the stakeholders in the
process.
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4 CONCLUSIONS
The business impacts of EURIDICE are improved
transport processes and new business opportunities.
The improved transport processes can be measured
and verified with, for example, KPI’s turnaround of
wagons, loading and unloading times, the haulage of
empty/loaded wagons, delivery times, and some cost
indicators. The new business opportunities are
achieved by the possibility of measuring various
types of real time information during the transport
process and by the improved performance of the
intermodal transport. An important factor of the
EURIDICE system is that it allows the parties
involved to analyze continuously the performance of
different operators and links.
The next step is “Integration and deployment,”
which will integrate the pilot applications into the
pilot users’ existing ICT systems and deploy the
adapted EURIDICE prototypes into a functioning
demonstrator environment suitable for piloting,
training, and dissemination purposes. The final
demonstrator system will be realized according to
the pilot validation and feedback.
REFERENCES
EURIDICE White Paper, 2009. EURIDICE Project White
Paper. Available at URL: www.euridice-project.eu
(adopted January 4th 2011)
EURIDICE Deliverable D24.1, 2009. Final Application
Requirements for Intermodal Transport v1.0,
November 30th 2009. Available at URL:
www.euridice-project.eu (adopted January 4th 2011)
EURIDICE Deliverable D11.2, 2009. Detailed
Architecture Specifications, v1.0,” November 13th
2009. Available at URL: www.euridice-project.eu
(adopted January 4th 2011)
Hemilä, J., 2010. Cargo Intelligence for Intermodal
Operations in Proc. of the 15th International
Symposium on Logistics (ISL2010). Kuala Lumpur,
Malaysia, July 4-7th 2010. Nottingham University.
UK (2010), p. 648
United Nations, 2009. Terminology on combined
transport, United Nations Economic commission for
Europe (UNECE). Available at URL:
http://www.unece.org/trans/wp24/documents/term.pdf.
(Adopted January 5th 2011)
Yin, R., 2003. Case study research – design and methods.
3rd edition, Applied social research methods series; v.
5. Sage Publications, Inc. 2003
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