Effects of Ports Attractiveness on Logistic Flows in a Competition Context

Thibaut Démare
Stefan Balev, Cyrille Bertelle, Antoine Dutot, Dominique Fournier and Eric Sanlaville
Normandie Université
LITIS
IPaSPort'2017 International Conference
3 - 4 May 2017




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Overview

  1. Context and issues
  2. Model
  3. Results

Context and issues

Logistic systems show complexity

  • It is a geographical territory composed of urban areas and of logistic structures.
  • These structures support organized flows of goods which mainly move between the urban areas, forming the logistic corridor.
  • The goods enter and leave the system through well-known access nodes.
  • Different constraints (spatial, economical, political, or ecological) act over the system.
  • There are numerous and heterogeneous actors (importers, exporters, freight forwarders, logistic providers,...). Their behaviors and interactions with each other allow to organize the flows of goods. They are auto-organized.
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Figure 1: A flow auto-organized by numerous and heterogeneous actors

Problematic

  • We want to understand how actors with different goals, are organized around all the logistic infrastructures to manage flows of goods despite all the constraints of the system.
  • We are looking for an individual-based model which can reproduce the working of a logistic system thanks to the simulation.
  • And then we could test different scenarios on this simulation to understand how the local decisions impact the system.

Model

A complex system approach

  • An agent-based model which represents each actor and infrastructure thanks to autonomous and reactive entities.
  • These agents have predefined rules which describe how they behave and interact together according to their perceptions of the environment and to their needs.
  • A dynamic graph represents the transportation network.
  • We can follow in real time each vehicle agent and observe the traffic evolution.

Figure 2: Model representation

Results

Implementation

  • We implemented the model as a step-by-step simulation into the agent-based simulation platform GAMA.
  • We use real data on the Seine axis to check its validity and to make measures.
  • The Seine axis is mostly represented by the road (around 90% of the traffic is by road).

Figure 2: Implemented agents

How do logistics service providers (LSPs) select a port?

$$F_{ij} = \frac{A_i}{d_{ij}^2}$$
  • $F_{ij}$ is the force of attraction between the port $i$ and the LSP $j$.
  • $A_i$ is the attractiveness of the port $i$. This parameter represents the competition between ports: a higher attractiveness value means that the port is more competitive than another one.
  • And $d_{ij}$ is the distance between $i$ and $j$.

Effects of port attractiveness on traffic

Conclusion

To sum up

  • We proposed an agent-based model and dynamic graphs to represent a logistic system
  • The implementation has been done thanks to the GAMA platform and it uses data on the Seine axis.
  • It allows us to observe the effects of a local parameter on macro properties: here the port attractiveness on the traffic evolution.

Perspectives

  • We want to implement the multi-modality.
  • We want to study the interaction network in order to detect special communities of actors.

Thank you for your attention !



thibaut.demare@univ-lehavre.fr