Abstract

International audience; This work provides a review of simulation techniques applied to urban logistics with a focus on practical applications. Several techniques and tools have been proposed to simulate different systems in urban logistics. In most cases, simulation choices depend on the objective of the simulation, the role of the decision maker and the type of problem. The paper offers a state of the art in which we analyse the existing simulation solutions for a given problem and/or a given stakeholder. As a result, it offers a practical reference for urban logistics researchers and practitioners who wish to use simulation in order to study the behaviour and performance of their systems. We propose an analytical framework allowing an easy overview of advantages and drawbacks of each technique, output criteria and examples. Document type: Part of book or chapter of book

Abstract

International audience; This study presents a real-data approach that aims at optimizing the location of urban loading-unloading (L/U) spaces. The originality of this paper is twofold: first, it proposes a data collection methodology in order to integrate real and up-to-date information regarding cartography, L/U parking demand and existing L/U spaces. Second, an optimization model is developed in order to determine the location of new L/U spaces by taking into account real distances, influence radius and physical constraints. Such optimization model can be used to evaluate the relevance of the existing L/U spaces and/or to determine the optimal location of new ones. For this we propose to combine the use of OpenStreetMap, Google Maps APIs, and Open Data portals. This paper provides a framework composed by 3 models, namely: data collection, demand generation and location optimization. The proposed approach is applied to the city of Paris in order to illustrate different case studies and to assess the effectiveness of the framework.