Sarra JLASSI, Simon TAMAYO, Arthur GAUDRON and Arnaud de LA FORTELLE presented this publication in the 6th IEEE International Conference on Advanced Logistics and Transport(the international conference “IEEE ICALT 2017“.
This paper proposes a “multi-agent and discrete event” simulation model to measure the impact of regulatory measures (vehicle size and access time) on the distribution of products in the catering sector.
For different regulation scenarios, the model allows to consider the total distances traveled, the number of vehicles used, the load rates and the emissions. The model was used to simulate the distribution of Parisian restaurants from the Rungis Market.
Abstract— Regulatory policies aim at reducing the negative effects of urban freight transportation, especially those related to traffic, emissions and noise. Nonetheless, the stakeholders in city logistics often have divergent objectives, which lead to difficulties upon defining the best possible choices regarding regulation, for it yields important economic impacts. This paper presents a multi-agent and discrete-event based simulation of urban deliveries that aims at evaluating the impacts of regulatory policies. Restrictions regarding vehicle weights and time windows are considered in order to measure the impacts on deliveries based on total distances, number of vehicles, loading rates and emissions. The simulation framework is applied to the delivery services for restaurants, in which 4 scenarios of regulation are evaluated in the city of Paris. One originality of the proposed approach is to use real data for the instantiation of agents and the GIS in the simulation.