DEVELOPMENT OF AN OPTIMIZATION-BASED SIMULATION PLATFORM FOR MODELING AND ANALYSIS OF FREIGHT TRANSPORT OPERATIONS THROUGH MARINE CONTAINER TERMINALS, WITH THE OBJECTIVE OF IMPROVING PRODUCTIVITY AND MEASURING ENVIRONMENTAL AND ECONOMIC IMPLICATIONS

Abstract: 

Several inefficiencies, mainly related to key nodal point operations hinder the productivity and effectiveness of the freight transport system. Marine container terminals present key nodal points in freight transport chains. The way in which ports have traditionally been developed worldwide, near by the urban core of the region in which they are located, results in major traffic, socioeconomic and environmental problems. In Greece, these problems are even more prominent due to the fact that port-hinterland connections are served primarily by truck while other modes such as rail, do not have significant share.

The main goal of this project is on improving port drayage operations from an economic, social and environmental perspective. For the purpose of this project, drayage operations are defined as the movement of containers between marine terminals and inland freight facilities. New vehicle technologies and optimization of traffic and terminal operations alone are not adequate measures to improve the system.

For this purpose, we propose the development of an integrated simulation platform, which will model terminal operations and which will be generic and adaptable to the characteristics of any marine container terminal and its surrounding transportation network.

The proposed work is structured around seven work packages, which in addition to project management and dissemination activities, include review of the state-of-the-art in the field, development of a simulation platform to model traffic and terminal operations, models for mapping the environmental footprint of terminal trucks, and application of the developed tools to assess the potential of proposed policies and strategies aiming to improve terminal operations.

The project will produce a unique decision support system, which will enable policy and decision makers to assess and evaluate the outcomes of proposed potential improvements, without actually having to do costly implementations in practice.

Project info

Acronym:
COMPETE
Scientific Coordinator:
Boile Maria
Research Team 2 Leader:
Naniopoulos Aristotelis
Research Team 3 Leader:
Loizidou Maria

Stats

I.D.:
441
Mis:
380394
Duration (months):
36
Budget:
600 000.00
Diavgeia:
ΑΔΑ: Β4ΘΗ9-ΔΨ9

Document Library

News