Optimizing Urban Freight Deliveries: From Designing and Testing a Prototype System to Addressing Real Life Challenges

Thomas Baudel (), Laetitia Dablanc (), Penelope Aguiar-Melgarejo () and Jean Ashton
Additional contact information
Thomas Baudel: IBM
Laetitia Dablanc: IFSTTAR/AME/SPLOTT - Systèmes Productifs, Logistique, Organisation des Transports et Travail - IFSTTAR - Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux - Communauté Université Paris-Est
Penelope Aguiar-Melgarejo: M2DisCo - Geometry Processing and Constrained Optimization - LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information - UL2 - Université Lumière - Lyon 2 - ECL - École Centrale de Lyon - Université de Lyon - UCBL - Université Claude Bernard Lyon 1 - Université de Lyon - INSA Lyon - Institut National des Sciences Appliquées de Lyon - Université de Lyon - INSA - Institut National des Sciences Appliquées - CNRS - Centre National de la Recherche Scientifique
Jean Ashton: X - École polytechnique - IP Paris - Institut Polytechnique de Paris

Post-Print from HAL

Abstract: In this article, we present efforts towards building a city-wide freight delivery rounds optimization system aimed at leveraging city traffic information to optimize professional vehicle rounds. This project, called SmartDeliveries, has been developed as part of the OptimodLyon project. We present the system's architecture and general objective. Then we present early evaluations which have led us to identify three main technical challenges to address, but also to quantify the potential productivity gains for its users: 18% in distance savings and 11% in time. This could lead, if the system were to be generalized at the scale of the city, to a reduction in as much as 5% in traffic, and to corresponding savings in emissions, which are the primary motivation of the project leaders. Finally we discuss the remaining challenges to address, from a technical as well as an organizational standpoint, to introduce real life implementation of the system.

Keywords: CITY LOGISTIC; CITY-WIDE OPTIMIZATION; ROUND OPTIMIZATION; OPTIMUM; LIVRAISON; ZONE URBAINE; LOGISTIQUE; SYSTEME DE TRANSPORT INTELLIGENT (search for similar items in EconPapers)
Date: 2015-06-17
New Economics Papers: this item is included in nep-cmp and nep-tre
Note: View the original document on HAL open archive server: https://hal.science/hal-01255153
References: View references in EconPapers View complete reference list from CitEc
Citations:

Published in 9th International Conference on City Logistics, Jun 2015, Tenerife, Spain. 13p

Downloads: (external link)
https://hal.science/hal-01255153/document (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-01255153

Access Statistics for this paper

More papers in Post-Print from HAL
Bibliographic data for series maintained by CCSD ().